Publications found: 4992
Q1
Seasonal insights for integrative mosquito management from multi-year baseline entomological data on Aedes aegypti in Lee County, Florida
Morreale R., Stenhouse S., Carvalho D.O., Hahn D.A., Bourtzis K., Lloyd A., Gale T.W., Hoel D.F.
The spread of arboviruses like yellow fever, dengue, chikungunya, and Zika, transmitted by the invasive mosquito Aedes aegypti has led to the development of many strategies to suppress mosquito populations. Given the rapid development of resistance to common chemical larvicides and adulticides in some Ae. aegypti populations, as well as the ever-shrinking chemical options for mosquito control, there is a pressing need for new tools and deployment of those innovative tools as a component of integrative mosquito management programs. Prior to the adoption of any mosquito population intervention, be it conventional or innovative, understanding the baseline population is essential to evaluate the efficacy of the control measure. The Lee County Mosquito Control District in Florida has collected a three-year-long period of baseline entomological surveillance data collection for Ae. aegypti on Captiva and Sanibel Islands as foundational information prior to implementation of a new integrative mosquito management approach. We identified 18 mosquito species and described their population dynamics during the rainy and dry seasons. The two islands had no significant differences in species richness, diversity, dominance, or evenness overall. Yet, there were clear differences between the high rain season and low rain season in the Shannon diversity index, Simpson dominance index, and Pielou species evenness index within each site. Our data suggest that any innovative intervention should begin before mid to late April when the mosquito population is at its lowest and certainly before populations build up to their summer peak between June and September. These data also show the spatial distribution of Ae. aegypti is dynamic in space and time, identifying hotspots of mosquito abundance to focus on for future interventions. Overall, our study emphasizes the importance of entomological data collection to understand the population dynamics of Ae. aegypti mosquitoes, including the impact of environmental factors such as temperature and precipitation.
Q1
Allele frequencies of PRLR truncating variants in heat‐tolerant taurine cattle native to Latin America
Flórez Murillo J.M., Işık Kalpar R., de Souza Albuquerque S., Silberschmidt Maia F., Landaeta‐Hernández A.J., da Silva Romero Â.R., Torrijos Rivera R., Veiga Aquino R.Y., Martínez Correal G., Borges M., de Menezes C.R., Larson S.A., Pérez O'Brien A.M., Garcia J.F., Sonstegard T.S.
Q1
Animal Genetics
,
2024
,
citations by CoLab: 1
Q1
Pediatric oncology nutritional practices in high‐income countries: A survey from the International Society of Paediatric Oncology (SIOP)
Gordon E., van den Brink M., van der Linden N., Ringwald‐Smith K., Gardiner B., Murphy‐Alford A.J.
AbstractBackgroundOptimal nutrition in pediatric oncology can influence cancer‐related outcomes. To establish an understanding of nutrition practice and perceptions of best practice, we queried nutrition providers practicing in pediatric oncology care centers in high‐income countries.MethodsAn electronic, multidisciplinary, cross‐sectional survey of nutrition practices was conducted among pediatric oncology nutrition practitioners. Final analysis included 110 surveys from 71 unique institutions and included practitioners from Europe, the United States, Canada, Australia/New Zealand, South America, and the Middle East/Asia.ResultsThe majority of institutions (97%) reported having dietitians; 72% had designated oncology dietitians. Approximately half of the practitioners (47%) reported feeling their institutions were inadequately staffed. The majority (78%) of institutions completed nutrition risk screening, but there was no consensus on specific screening practices. Half (50%) of the institutions that screened for nutrition risk did so in both inpatient and outpatient settings. The majority (80%) of institutions completed a nutrition assessment close to the time of diagnosis. Those that did not cite lack of staff and/or lack of time, lack of standardized approach, and consult only level of nutritional care as primary barriers. The most common topic of nutrition education provided to patients/families was nutrition‐related symptom management (68%).ConclusionWhile most institutions reported having pediatric oncology dietitians, we found a lack of standardized practice and perceived inadequate staffing. In addition, what providers perceived to be best practice did not always align with day‐to‐day clinical practice. Ongoing efforts are needed to develop evidence‐based guidelines, including staffing recommendations, to support specialized care in this population.
Q1
Review of Zeugodacus tau (Walker) (Diptera: Tephritidae): biological characteristics and control strategy
Liu X., Ji Q.
AbstractZeugodacus tau is an important worldwide quarantine pest. The female adults insert their oviposition tube into the fruit epidermis to lay eggs, and the larvae feed inside the fruit. Therefore, the hazard of Z. tau primarily rely on adult egg laying and larval feeding. Zeugodacus tau is widely distributed in China and has caused serious economic losses to the industry of fruit and vegetable. Due to the need for a systematic compilation of basic biological knowledge and the increasing economic importance of fruits and vegetables, this paper systematically summarized the distribution and damage, morphological characteristics, biological characteristics and control strategies of Z. tau. Basic biological knowledge, such as geographical distribution, host species, the characteristics of its damage, spread, and transmission, characteristics of each insect stage, occurrence generations, growth and development, population dynamics, and living habits, will deepen our understanding of Z. tau. Preventive measures, such as risk analysis, prediction of suitable areas and quarantine monitoring, can guide pest prevention for crop production in safe areas. Management measures, such as agricultural control represented by fruit bagging and clean fields, physical and chemical attractants designed and developed by the characteristics of colour, phototaxis and chemotaxis, chemical control based on new green pesticides, biological control supported by predatory and parasitic natural enemies, can fully guide the integrated prevention and control of Z. tau. Depending on the size of the planting management area, both broad-area joint prevention and control as well as localized comprehensive management can be flexibly selected. While ensuring economic benefits, it also takes into account the cost input, and is committed to achieving an economically efficient and long-term green control of Z. tau.
Q1
Phytosanitary irradiation as an effective treatment for Drosophila suzukii
Gomes I.V., Sobreira A.C., Aguilar J.S., Carrera L.G., Andrade J.L., Caceres C., Vreysen M.J., Stauffer C., Myers S.W., Dias V.S.
Drosophila suzukii is a pest native to Southeast Asia that causes significant economic losses to soft fruit crops. Phytosanitary irradiation is a promising treatment for D. suzukii hosts; yet an internationally recognized irradiation protocol is lacking. To fulfil specific requirements for proposing an irradiation treatment for D. suzukii, naturally infested blueberries and cherries containing a total of 37,489 late pupae were irradiated with a maximum absorbed dose of 80 Gy. Infested hosts containing a total of 9578 late pupae were considered unirradiated controls. Prevention of egg laying by females that emerged from treated pupae was considered the treatment endpoint. The fecundity and egg viability of females that emerged from treated pupae mated with their siblings were evaluated using blueberries. While females from unirradiated pupae laid a total of 43,142 eggs, no egg was laid by females that emerged from irradiated pupae. In addition, 1-day-old adults were irradiated with nominal doses of 20 and 72 Gy to evaluate whether egg laying could be prevented in flies emerging before the irradiation treatment. Females irradiated with 72 Gy laid eggs that did not hatch. Our findings suggest the minimum absorbed dose of 80 Gy as a phytosanitary irradiation treatment against D. suzukii and may support its inclusion as a treatment option in the annex of the International Standard for Phytosanitary Measures 28 (ISPM 28).
Q1
Isomer production studied with simultaneous decay curve analysis for alpha-particle induced reactions on natural platinum up to 29 MeV
Otuka N., Takács S., Aikawa M., Ebata S., Haba H.
The isomeric ratios of $$^{198}$$ Au, $$^{197}$$ Hg and $$^{195}$$ Hg produced by $$\alpha $$ -particle induced reactions on natural platinum were investigated experimentally up to 29 MeV by using the standard stacked foil activation technique and $$\gamma $$ -ray spectrometry. The isomeric ratios of $$^{197}$$ Hg and $$^{195}$$ Hg determined by the conventional activation cross section formula showed strong cooling time dependence. The time dependence was resolved by adjusting the isomeric transition branching ratios for the two isotopes within a simultaneous decay curve analysis framework. Our analysis suggests 94.5±0.7% and 48.9±1.8% as the isomeric transition branching ratios of $$^{197m}$$ Hg (24 h) and $$^{195m}$$ Hg (42 h), respectively. The isomeric ratios and independent production cross sections of $$^{198}$$ Au, $$^{197}$$ Hg, $$^{195}$$ Hg and some other Hg, Au and Pt isotopes were also measured down to 6 MeV with these corrected isomeric transition branching ratios, and compared with predictions of statistical and pre-equilibrium models by TALYS-2.0 to discuss spin cutoff parameter dependence. We found the measured isomeric ratios are better predicted if we reduce the spin cutoff parameter to half or less from that estimated with the rigid body moment of inertia.
Q1
Molecular Markers for Analyses of Genetic Diversity within the Anastrepha fraterculus Complex with Emphasis on Argentine Populations
Gomulski L.M., Vera M.T., Lanzavecchia S.B., Piccinno R., Fiorenza G., De Luca D., Carrizo B.N., Bouvet J.P., Viana V.A., Cárceres C., Enkerlin W., Malacrida A.R., Gasperi G.
The South American fruit fly Anastrepha fraterculus (Wiedmann) has a vast range extending from northern Mexico, through Central America, to South America where it is an extremely polyphagous pest of wild and cultivated fruits. It is a complex of cryptic species currently composed of eight recognised morphotypes: “Mexican”, “Venezuelan”, “Andean”, “Peruvian”, “Ecuadorian”, and the three Brazilian morphotypes “Brazilian-1”, “Brazilian-2”, and “Brazilian-3”. Molecular markers that can identify the member species of the complex are crucial for the implementation of effective pest control measures, such as the sterile insect technique. The object of this study was to evaluate the use of the internal transcribed spacer 2 (ITS2) sequence for discriminating several members of the A. fraterculus cryptic species complex (Mexican, Peruvian, and Brazilian-1) and a related species, Anastrepha schultzi Blanchard. The analysis highlighted significant genetic differentiation between the evaluated morphotypes, allowed their discrimination within the A. fraterculus cryptic species complex, and provided new insights into their genetic relationships. The ITS2 marker provides a basis for the development of taxonomic keys for the discrimination of the cryptic taxa within the A. fraterculus cryptic species complex. ITS2 also represents an important marker for the poorly studied species A. schultzi.
Q1
Current status of the sterile insect technique for the suppression of mosquito populations on a global scale
Bouyer J.
Abstract
Background
The World Health Organization (WHO) has emphasized the urgent need for alternative strategies to chemical insecticides for controlling mosquito populations, particularly the invasive Aedes species, which are known vectors of arboviruses. Among these alternative approaches, the sterile insect technique (SIT) is experiencing rapid development, with numerous pilot trials being conducted worldwide.
Main text
This review aims to elucidate the principles of SIT and highlight the significant recent advancements that have facilitated its scalability. I also employ a phased conditional approach to categorize the progression of 39 projects, drawing on peer reviewed studies, press releases and direct communication with project managers. This review indicates that a substantial number of projects illustrate the efficacy of SIT in suppressing Aedes populations, with one project even demonstrating a reduction in dengue incidence. I offer several recommendations to mitigate potential failures and address the challenges of compensation and overcompensation when implementing SIT field trials. Furthermore, I examine the potential implications of male mating harassment on the effectiveness of SIT in reducing disease transmission.
Conclusions
This comprehensive assessment underscores the promise of SIT as a viable strategy for mosquito control. The insights gained from these trials not only contribute to the understanding of SIT’s effectiveness but also highlight the importance of careful project management and ecological considerations in the pursuit of public health objectives.
Graphical Abstract
Q3
Structural changes at dental tissue interfaces characterized by energy‐dispersive resonant inelastic X‐ray scattering and FTIR techniques
Sánchez H.J., Leani J.J., Robledo J.I., Grenón M., Marcelli A., Migliori A., Wang Y., Qi Z.
AbstractEnergy‐dispersive inelastic X‐ray scattering (EDIXS) and Fourier transform infrared spectroscopy (FTIR) were used to study hard dental tissues like dentine, enamel, and cementum in several human dental pieces of adult individuals. Analysis of linear paths crossing different interfaces were carried out. These different techniques provide specific information that allows a combined interpretation of the results as well as a comparison of performances of both methodologies. The EDIXS analysis was focused on the calcium absorption edge because this major element has a fundamental role in the formation of the calcium phosphate structure. Regarding FTIR, the investigation focused on the study of ν1, ν3, and ν4 vibrational modes of hydroxyapatite. The ν1, ν3, and ν4 vibrational modes of hydroxyapatite are related to the vibrations of the phosphate (PO43‐) ion. Specifically, ν1 corresponds to the symmetric stretching vibration, ν3 is the asymmetric stretching vibration, and ν4 is the bending vibration of the phosphate ion. The results allowed us to infer a correlation between the variations observed in EDIXS and the ν3 vibrational mode measured with FTIR. This correlation between inelastic X‐ray scattering and FTIR spectroscopy offers a more comprehensive characterization of hydroxyapatite parameters. Furthermore, it establishes a complementary technique for the structural characterization of dental tissues.
Q1
An international film dosimetry intercomparison to establish a multi‐center audit framework
Beveridge S., Alves A., Hussein M., Clark C.H., Jornet N., Viegas C.C., Reniers B., Alvarez P.E., Azangwe G., Chelminski K., Dimitriadis A., Kazantsev P., Swamidas J.
AbstractBackgroundIn 2021, a Technical Meeting was hosted by the International Atomic Energy Agency (IAEA) where it was recommended that a standardized method for assessing the accuracy of film dose calculations should be established.PurposeTo design an audit that evaluates the accuracy of film dosimetry processes. To propose a framework for identifying out‐of‐tolerance results and to perform an international pilot study to test the audit design.MethodsSix members of an international Dosimetry Audit Network (DAN) developed an audit for radiochromic film dosimetry. A single host center provided the materials to each participating DAN member to conduct the audits. Materials included: (1) a set of two irradiated audit films (10 Sq: 10 cm × 10 cm, 15 Sq: 15 cm × 15 cm), (2) a reference calibration film set, and (3) a blank sheet of film. The participants were blinded to the dose and tasked with producing dose maps using their standard film dosimetry process. Average Region‐Of‐Interest (ROI: 2 cm × 2 cm) dose was measured from the dose maps and compared to the known dose. In the audit, all participants used their local scanning and software protocols. Film calibration was performed in two distinct ways: (1) using a calibration film set which was provided by the host center and (2) using a calibration film set which was locally irradiated. Several variations of the audit were also performed to examine how scanning and software processing can affect film dosimetry results. In the first variation of the audit (VariantA), a set of film scans was processed using five different software solutions. In the second variation of the audit (VariantB), all films were scanned on the same scanner and processed using two in‐house software solutions.ResultsTaking one film scan from each participant, the standard deviations (1σ) (SD) in the dose returned from the host calibration and returned from the local calibration were ±7.2% and ±6.5% respectively, with variations from −12.4% to 12.9% of the known dose. The larger dose variations in the data set were attributed to the corrections applied for variations in scanner brightness during processing and incorrectly assigned calibration doses. When the raw image data set was processed by an expert user of each software solution (VariantA) the SDs were ±2.7% and ±3.7% for in‐house and vendor‐based software, respectively. When the films were scanned on a single scanner and processed with the two in‐house software solutions (VariantB) the results had a SD of ±2.3%.ConclusionsAn audit has been designed and tested for radiotherapy film dosimetry at an international level. A framework for diagnosing issues within a film dosimetry process has been proposed that could be used to audit centers that use film as a dosimeter. Incorporating quality assurance throughout the film process is important in obtaining accurate and consistent film dosimetry. A better understanding of vendor‐based software systems is necessary for users to process accurate and consistent film dosimetry.
Q1
PET/CT-based 3D multi-class semantic segmentation of ovarian cancer and the stability of the extracted radiomics features
Sadeghi M.H., Sina S., Alavi M., Giammarile F., Yeong C.H.
Accurate segmentation of ovarian cancer (OC) lesions in PET/CT images is essential for effective disease management, yet manual segmentation for radiomics analysis is labor-intensive and time-consuming. This study introduces the application of a 3D U-Net deep learning model, leveraging advanced 3D networks, for multi-class semantic segmentation of OC in PET/CT images and assesses the stability of the extracted radiomics features. Utilizing a dataset of 3120 PET/CT images from 39 OC patients, the dataset was divided into training (70%), validation (15%), and test (15%) subsets to optimize and evaluate the model’s performance. The 3D U-Net model, especially with a VGG16 backbone, achieved notable segmentation accuracy with a Dice score of 0.74, Precision of 0.76, and Recall of 0.78. Additionally, the study demonstrated high stability in radiomics features, with over 85% of PET and 84% of CT image features showing high intraclass correlation coefficients (ICCs > 0.8). These results underscore the potential of automated 3D U-Net-based segmentation to significantly enhance OC diagnosis and treatment planning. The reliability of the extracted radiomics features from automated segmentation supports its application in clinical decision-making and personalized medicine. This research marks a significant advancement in oncology diagnostics, providing a robust and efficient method for segmenting OC lesions in PET/CT images. By addressing the challenges of manual segmentation and demonstrating the effectiveness of 3D networks, this study contributes to the growing body of evidence supporting the application of artificial intelligence in improving diagnostic accuracy and patient outcomes in oncology.
Q1
Anthropometric prediction models of body composition in 3 to 24month old infants: a multicenter international study
Wickramasinghe V.P., Ariff S., Norris S.A., Santos I.S., Kuriyan R., Nyati L.H., Varghese J.S., Murphy-Alford A.J., Lucas N., Costa C., Ahuja K.D., Jayasinghe S., Kurpad A.V., Hills A.P., Wickramasinghe V.P., et. al.
Abstract
Background
Accurate assessment of body composition during infancy is an important marker of early growth. This study aimed to develop anthropometric models to predict body composition in 3–24-month-old infants from diverse socioeconomic settings and ethnic groups.
Methods
An observational, longitudinal, prospective, multi-country study of infants from 3 to 24 months with body composition assessed at three monthly intervals using deuterium dilution (DD) and anthropometry. Linear mixed modelling was utilized to generate sex-specific fat mass (FM) and fat-free mass (FFM) prediction equations, using length(m), weight-for-length (kg/m), triceps and subscapular skinfolds and South Asian ethnicity as variables. The study sample consisted of 1896 (942 measurements from 310 girls) training data sets, 941 (441 measurements from 154 girls) validation data sets of 3–24 months from Brazil, Pakistan, South Africa and Sri Lanka. The external validation group (test) comprised 349 measurements from 250 (185 from 124 girls) infants 3–6 months of age from South Africa, Australia and India.
Results
Sex-specific equations for three age categories (3–9 months; 10–18 months; 19–24 months) were developed, validated on same population and externally validated. Root mean squared error (RMSE) was similar between training, validation and test data for assessment of FM and FFM in boys and in girls. RMSPE and mean absolute percentage error (MAPE) were higher in validation compared to test data for predicting FM, however, in the assessment of FFM, both measures were lower in validation data. RMSE for test data from South Africa (M/F−0.46/0.45 kg) showed good agreement with validation data for assessment of FFM compared to Australia (M/F−0.51/0.33 kg) and India(M/F−0.77/0.80 kg).
Conclusions
Anthropometry-based FFM prediction equations provide acceptable results. Assessments based on equations developed on similar populations are more applicable than those developed from a different population.
Q1
Sperm Storage and Use Following Multiple Insemination in Aedes albopictus: Encouraging Insights for the Sterile Insect Technique
Yamada H., Hood-Nowotny R., Resch C., Bouyer J., Gruber R., Oliva C.F.
The key to success in the application of the sterile insect technique (SIT) relies on the ability of released, sterile males to outcompete their fertile wild male counterparts to mate with wild females. However, many insect species exhibit multiple-mating behavior, which can be a way for females to select paternity for their progeny. This study aims to recognize the consequences of potential double-matings during an SIT program and to detect any evidence of sperm selection favoring sperm from fertile mates. This report provides a descriptive analysis of the storage and use of sperm by female Aedes albopictus. Stable isotopes were used to mark the sperm of fertile and sterile males. Mated females were allowed to oviposit before dissecting the spermathecae to link the presence of each type of sperm to the sterility of the eggs laid. It was found that sperm in females inseminated by both males was distributed in the three spermathecae with no obvious pattern, mostly mixed but also separately, and no evidence of any mechanism for sperm selection, sperm precedence, or sperm competition in Ae. albopictus females could be found. The fact that only a few double-mated females were double-inseminated and could also produce semi-sterile eggs, together with the finding that the sperm of sterile males appeared to be no less viable than that of fertile males, is an encouraging outcome for SIT approaches.
Q1
Cytoplasmic male sterility-based hybrids: mechanistic insights
Bhattacharya J., Nitnavare R.B., Bhatnagar-Mathur P., Reddy P.S.
A comprehensive understanding of the nucleocytoplasmic interactions that occur between genes related to the restoration of fertility and cytoplasmic male sterility (CMS) provides insight into the development of hybrids of important crop species. Modern biotechnological techniques allow this to be achieved in an efficient and quick manner. Heterosis is paramount for increasing the yield and quality of a crop. The development of hybrids for achieving heterosis has been well-studied and proven to be robust and efficient. Cytoplasmic male sterility (CMS) has been explored extensively in the production of hybrids. The underlying mechanisms of CMS include the role of cytotoxic proteins, PCD of tapetal cells, and improper RNA editing of restoration factors. On the other hand, the restoration of fertility is caused by the presence of restorer-of-fertility (Rf) genes or restorer genes, which inhibit the effects of sterility-causing genes. The interaction between mitochondria and the nuclear genome is crucial for several regulatory pathways, as observed in the CMS–Rf system and occurs at the genomic, transcriptional, post-transcriptional, translational, and post-translational levels. These CMS–Rf mechanisms have been validated in several crop systems. This review aims to summarize the nucleo-mitochondrial interaction mechanism of the CMS–Rf system. It also sheds light on biotechnological interventions, such as genetic engineering and genome editing, to achieve CMS-based hybrids.
Q1
Evaluating input data sources for isotope‐enabled rainfall‐runoff models
Watson A., Birkel C., Arciniega‐Esparza S., de Waal J., Miller J., Vystavna Y., van Rooyen J., Welham A., Bong H., Yoshimura K., Helmschrot J., Künne A., Kralisch S.
AbstractIsotope‐enabled models provide a means to generate robust hydrological simulations. However, daily isotope‐enabled rainfall‐runoff models applied to larger spatial scales (>100 km2) require more input data than conventional non‐isotope models in the form of precipitation isotope time series, which are difficult to generate even with point station measurements. Spatially distributed isotope data can be circumvented by isotope‐enabled climate models. Here, we evaluate the hydrological simulations of the J2000‐isotope enabled hydrological model driven with data from corrected and un‐corrected isotope‐enabled global and regional climate models (isotope‐enabled global spectral model [IsoGSM] and isotope‐enabled regional spectral model [IsoRSM], respectively) compared with 1 year of measured reference station and a yearly average precipitation isotope input for a pilot site, the data‐scarce sub‐humid Eerste River catchment in South Africa. The models driven by all input products performed well for upstream and downstream discharge gauges with Nash Sutcliffe efficiency (NSE) from 0.58 to 0.85 and LogNSE of 0.66 to 0.93. The simulated δ2H stream isotopes using the reference J2000‐iso and J2000‐isoRSM were good for the main river with a stream Kling Gupta efficiency (KGE) of between 0.4–0.9 and the top 100 Monte Carlo simulations varying by around 5‰ for δ2H. For smaller tributaries the model was unable to capture the measured stream isotopes due to biased precipitation isotope inputs. Adjusting the J2000‐iso with a bias corrected IsoRSM improved the stream and groundwater isotope simulation and outperformed the model driven by an average yearly precipitation isotope input. Differences in simulated hydrological processes were only evident between the models when evaluating percolation with unrealistic simulations for the standard J2000 model. While the regional climate model is computationally more intensive than its global counterpart, it provided better stream isotope simulations and improvements to simulated percolation. Our results indicate that isotope‐enabled climate models can provide useful input data in data scarce regions for hydrological models, where improved water management to address climate change impacts is needed.
Found
Total publications
148
Total citations
6325
Citations per publication
42.74
Average publications per year
4.23
Average coauthors
34.39
Publications years
1990-2024 (35 years)
h-index
49
i10-index
118
m-index
1.4
o-index
106
g-index
72
w-index
10
Metrics description
h-index
A scientist has an h-index if h of his N publications are cited at least h times each, while the remaining (N - h) publications are cited no more than h times each.
i10-index
The number of the author's publications that received at least 10 links each.
m-index
The researcher's m-index is numerically equal to the ratio of his h-index to the number of years that have passed since the first publication.
o-index
The geometric mean of the h-index and the number of citations of the most cited article of the scientist.
g-index
For a given set of articles, sorted in descending order of the number of citations that these articles received, the g-index is the largest number such that the g most cited articles received (in total) at least g2 citations.
w-index
If w articles of a researcher have at least 10w citations each and other publications are less than 10(w+1) citations, then the researcher's w-index is equal to w.
Top-100
Fields of science
5
10
15
20
25
30
35
|
|
General Neuroscience
|
General Neuroscience, 32, 21.62%
General Neuroscience
32 publications, 21.62%
|
Cellular and Molecular Neuroscience
|
Cellular and Molecular Neuroscience, 26, 17.57%
Cellular and Molecular Neuroscience
26 publications, 17.57%
|
Immunology
|
Immunology, 19, 12.84%
Immunology
19 publications, 12.84%
|
Immunology and Allergy
|
Immunology and Allergy, 18, 12.16%
Immunology and Allergy
18 publications, 12.16%
|
Biochemistry
|
Biochemistry, 16, 10.81%
Biochemistry
16 publications, 10.81%
|
General Medicine
|
General Medicine, 15, 10.14%
General Medicine
15 publications, 10.14%
|
Molecular Biology
|
Molecular Biology, 13, 8.78%
Molecular Biology
13 publications, 8.78%
|
Cell Biology
|
Cell Biology, 13, 8.78%
Cell Biology
13 publications, 8.78%
|
Pharmacology
|
Pharmacology, 11, 7.43%
Pharmacology
11 publications, 7.43%
|
Pulmonary and Respiratory Medicine
|
Pulmonary and Respiratory Medicine, 11, 7.43%
Pulmonary and Respiratory Medicine
11 publications, 7.43%
|
Developmental Biology
|
Developmental Biology, 9, 6.08%
Developmental Biology
9 publications, 6.08%
|
Geriatrics and Gerontology
|
Geriatrics and Gerontology, 9, 6.08%
Geriatrics and Gerontology
9 publications, 6.08%
|
Neurology (clinical)
|
Neurology (clinical), 6, 4.05%
Neurology (clinical)
6 publications, 4.05%
|
Molecular Medicine
|
Molecular Medicine, 5, 3.38%
Molecular Medicine
5 publications, 3.38%
|
Multidisciplinary
|
Multidisciplinary, 5, 3.38%
Multidisciplinary
5 publications, 3.38%
|
Neurology
|
Neurology, 5, 3.38%
Neurology
5 publications, 3.38%
|
Nutrition and Dietetics
|
Nutrition and Dietetics, 5, 3.38%
Nutrition and Dietetics
5 publications, 3.38%
|
Aging
|
Aging, 5, 3.38%
Aging
5 publications, 3.38%
|
Medicine (miscellaneous)
|
Medicine (miscellaneous), 4, 2.7%
Medicine (miscellaneous)
4 publications, 2.7%
|
Food Science
|
Food Science, 4, 2.7%
Food Science
4 publications, 2.7%
|
Psychiatry and Mental health
|
Psychiatry and Mental health, 4, 2.7%
Psychiatry and Mental health
4 publications, 2.7%
|
Toxicology
|
Toxicology, 4, 2.7%
Toxicology
4 publications, 2.7%
|
Catalysis
|
Catalysis, 3, 2.03%
Catalysis
3 publications, 2.03%
|
Organic Chemistry
|
Organic Chemistry, 3, 2.03%
Organic Chemistry
3 publications, 2.03%
|
General Biochemistry, Genetics and Molecular Biology
|
General Biochemistry, Genetics and Molecular Biology, 3, 2.03%
General Biochemistry, Genetics and Molecular Biology
3 publications, 2.03%
|
Inorganic Chemistry
|
Inorganic Chemistry, 3, 2.03%
Inorganic Chemistry
3 publications, 2.03%
|
Physical and Theoretical Chemistry
|
Physical and Theoretical Chemistry, 3, 2.03%
Physical and Theoretical Chemistry
3 publications, 2.03%
|
Computer Science Applications
|
Computer Science Applications, 3, 2.03%
Computer Science Applications
3 publications, 2.03%
|
Spectroscopy
|
Spectroscopy, 3, 2.03%
Spectroscopy
3 publications, 2.03%
|
Genetics
|
Genetics, 3, 2.03%
Genetics
3 publications, 2.03%
|
Physiology
|
Physiology, 3, 2.03%
Physiology
3 publications, 2.03%
|
Analytical Chemistry
|
Analytical Chemistry, 2, 1.35%
Analytical Chemistry
2 publications, 1.35%
|
Pharmacology (medical)
|
Pharmacology (medical), 2, 1.35%
Pharmacology (medical)
2 publications, 1.35%
|
General Physics and Astronomy
|
General Physics and Astronomy, 2, 1.35%
General Physics and Astronomy
2 publications, 1.35%
|
Biotechnology
|
Biotechnology, 2, 1.35%
Biotechnology
2 publications, 1.35%
|
General Materials Science
|
General Materials Science, 2, 1.35%
General Materials Science
2 publications, 1.35%
|
General Engineering
|
General Engineering, 2, 1.35%
General Engineering
2 publications, 1.35%
|
Endocrinology
|
Endocrinology, 2, 1.35%
Endocrinology
2 publications, 1.35%
|
Endocrinology, Diabetes and Metabolism
|
Endocrinology, Diabetes and Metabolism, 2, 1.35%
Endocrinology, Diabetes and Metabolism
2 publications, 1.35%
|
Neuropsychology and Physiological Psychology
|
Neuropsychology and Physiological Psychology, 2, 1.35%
Neuropsychology and Physiological Psychology
2 publications, 1.35%
|
Cognitive Neuroscience
|
Cognitive Neuroscience, 2, 1.35%
Cognitive Neuroscience
2 publications, 1.35%
|
History and Philosophy of Science
|
History and Philosophy of Science, 2, 1.35%
History and Philosophy of Science
2 publications, 1.35%
|
Gerontology
|
Gerontology, 2, 1.35%
Gerontology
2 publications, 1.35%
|
Materials Chemistry
|
Materials Chemistry, 1, 0.68%
Materials Chemistry
1 publication, 0.68%
|
Drug Discovery
|
Drug Discovery, 1, 0.68%
Drug Discovery
1 publication, 0.68%
|
Cancer Research
|
Cancer Research, 1, 0.68%
Cancer Research
1 publication, 0.68%
|
Structural Biology
|
Structural Biology, 1, 0.68%
Structural Biology
1 publication, 0.68%
|
Biophysics
|
Biophysics, 1, 0.68%
Biophysics
1 publication, 0.68%
|
Pharmaceutical Science
|
Pharmaceutical Science, 1, 0.68%
Pharmaceutical Science
1 publication, 0.68%
|
Clinical Biochemistry
|
Clinical Biochemistry, 1, 0.68%
Clinical Biochemistry
1 publication, 0.68%
|
Polymers and Plastics
|
Polymers and Plastics, 1, 0.68%
Polymers and Plastics
1 publication, 0.68%
|
Bioengineering
|
Bioengineering, 1, 0.68%
Bioengineering
1 publication, 0.68%
|
Biomaterials
|
Biomaterials, 1, 0.68%
Biomaterials
1 publication, 0.68%
|
Clinical Psychology
|
Clinical Psychology, 1, 0.68%
Clinical Psychology
1 publication, 0.68%
|
Public Health, Environmental and Occupational Health
|
Public Health, Environmental and Occupational Health, 1, 0.68%
Public Health, Environmental and Occupational Health
1 publication, 0.68%
|
Hematology
|
Hematology, 1, 0.68%
Hematology
1 publication, 0.68%
|
Health Policy
|
Health Policy, 1, 0.68%
Health Policy
1 publication, 0.68%
|
Biological Psychiatry
|
Biological Psychiatry, 1, 0.68%
Biological Psychiatry
1 publication, 0.68%
|
Developmental Neuroscience
|
Developmental Neuroscience, 1, 0.68%
Developmental Neuroscience
1 publication, 0.68%
|
Endocrine and Autonomic Systems
|
Endocrine and Autonomic Systems, 1, 0.68%
Endocrine and Autonomic Systems
1 publication, 0.68%
|
Education
|
Education, 1, 0.68%
Education
1 publication, 0.68%
|
Obstetrics and Gynecology
|
Obstetrics and Gynecology, 1, 0.68%
Obstetrics and Gynecology
1 publication, 0.68%
|
Behavioral Neuroscience
|
Behavioral Neuroscience, 1, 0.68%
Behavioral Neuroscience
1 publication, 0.68%
|
Show all (33 more) | |
5
10
15
20
25
30
35
|
Journals
1
2
3
4
5
6
7
|
|
Journal of Neurochemistry
7 publications, 4.73%
|
|
Clinical and Translational Allergy
7 publications, 4.73%
|
|
European Journal of Neuroscience
5 publications, 3.38%
|
|
Neurochemistry International
5 publications, 3.38%
|
|
Allergy: European Journal of Allergy and Clinical Immunology
5 publications, 3.38%
|
|
Neurotoxicity Research
4 publications, 2.7%
|
|
Brain Research
4 publications, 2.7%
|
|
PLoS ONE
4 publications, 2.7%
|
|
NeuroReport
3 publications, 2.03%
|
|
International Journal of Molecular Sciences
3 publications, 2.03%
|
|
Frontiers in Neuroscience
3 publications, 2.03%
|
|
Rejuvenation Research
3 publications, 2.03%
|
|
Stem Cells
3 publications, 2.03%
|
|
Neuropharmacology
3 publications, 2.03%
|
|
Neuroscience Letters
3 publications, 2.03%
|
|
Journal of Neuroscience
3 publications, 2.03%
|
|
Journal of Nutrition, Health and Aging
3 publications, 2.03%
|
|
Clinical and Experimental Allergy
2 publications, 1.35%
|
|
European Journal of Pharmacology
2 publications, 1.35%
|
|
European Geriatric Medicine
2 publications, 1.35%
|
|
ACS Nano
2 publications, 1.35%
|
|
FASEB Journal
2 publications, 1.35%
|
|
Frontiers in Aging Neuroscience
2 publications, 1.35%
|
|
Journal of Allergy and Clinical Immunology
2 publications, 1.35%
|
|
Frontiers in Nutrition
2 publications, 1.35%
|
|
Frontiers in Medicine
2 publications, 1.35%
|
|
Frontiers in Cellular Neuroscience
2 publications, 1.35%
|
|
Epilepsia
2 publications, 1.35%
|
|
Annals of the New York Academy of Sciences
2 publications, 1.35%
|
|
Biochemical Pharmacology
2 publications, 1.35%
|
|
Food Chemistry
2 publications, 1.35%
|
|
Journal of Thoracic Disease
2 publications, 1.35%
|
|
Cells
2 publications, 1.35%
|
|
Proceedings of the National Academy of Sciences of the United States of America
1 publication, 0.68%
|
|
American Journal of Physiology - Advances in Physiology Education
1 publication, 0.68%
|
|
FEBS Letters
1 publication, 0.68%
|
|
Frontiers in Immunology
1 publication, 0.68%
|
|
Maturitas
1 publication, 0.68%
|
|
Methods in Molecular Biology
1 publication, 0.68%
|
|
Neuropeptides
1 publication, 0.68%
|
|
Pharmaceutics
1 publication, 0.68%
|
|
Frontiers in Human Neuroscience
1 publication, 0.68%
|
|
Frontiers in Pharmacology
1 publication, 0.68%
|
|
Neurochemical Research
1 publication, 0.68%
|
|
Molecular Pharmacology
1 publication, 0.68%
|
|
Peptides
1 publication, 0.68%
|
|
World Allergy Organization Journal
1 publication, 0.68%
|
|
Journal of Alzheimer's Disease
1 publication, 0.68%
|
|
Nitric Oxide - Biology and Chemistry
1 publication, 0.68%
|
|
Central Nervous System Agents in Medicinal Chemistry
1 publication, 0.68%
|
|
Purinergic Signalling
1 publication, 0.68%
|
|
Stem Cells and Development
1 publication, 0.68%
|
|
BMC Public Health
1 publication, 0.68%
|
|
Journal of Neuroinflammation
1 publication, 0.68%
|
|
British Journal of Pharmacology
1 publication, 0.68%
|
|
Journal of Biological Chemistry
1 publication, 0.68%
|
|
Cellular and Molecular Neurobiology
1 publication, 0.68%
|
|
International Journal of Developmental Neuroscience
1 publication, 0.68%
|
|
Journal of Neuroscience Research
1 publication, 0.68%
|
|
Current Stem Cell Research and Therapy
1 publication, 0.68%
|
|
Health Research Policy and Systems
1 publication, 0.68%
|
|
BMC Neuroscience
1 publication, 0.68%
|
|
European Respiratory Journal
1 publication, 0.68%
|
|
Journal of Bioactive and Compatible Polymers
1 publication, 0.68%
|
|
Molecular Brain Research
1 publication, 0.68%
|
|
Current Drug Targets - CNS & Neurological Disorders
1 publication, 0.68%
|
|
Current Drug Abuse Reviews
1 publication, 0.68%
|
|
Recent Patents on CNS Drug Discovery
1 publication, 0.68%
|
|
Revista Portuguesa de Pneumologia (English Edition)
1 publication, 0.68%
|
|
Show all (39 more) | |
1
2
3
4
5
6
7
|
Citing journals
50
100
150
200
250
300
350
400
|
|
Journal not defined
|
Journal not defined, 400, 6.32%
Journal not defined
400 citations, 6.32%
|
Clinical and Translational Allergy
175 citations, 2.77%
|
|
Allergy: European Journal of Allergy and Clinical Immunology
138 citations, 2.18%
|
|
Journal of Neurochemistry
121 citations, 1.91%
|
|
International Journal of Molecular Sciences
119 citations, 1.88%
|
|
Journal of Allergy and Clinical Immunology: In Practice
108 citations, 1.71%
|
|
Neuroscience
100 citations, 1.58%
|
|
Neuropharmacology
96 citations, 1.52%
|
|
Journal of Neuroscience
66 citations, 1.04%
|
|
Brain Research
61 citations, 0.96%
|
|
Neuropeptides
60 citations, 0.95%
|
|
Neurochemistry International
60 citations, 0.95%
|
|
Scientific Reports
58 citations, 0.92%
|
|
Frontiers in Cellular Neuroscience
56 citations, 0.89%
|
|
PLoS ONE
56 citations, 0.89%
|
|
Journal of Neuroinflammation
55 citations, 0.87%
|
|
Frontiers in Neuroscience
54 citations, 0.85%
|
|
European Journal of Neuroscience
53 citations, 0.84%
|
|
Neuroscience Letters
52 citations, 0.82%
|
|
Brain, Behavior, and Immunity
50 citations, 0.79%
|
|
Molecular Neurobiology
49 citations, 0.77%
|
|
Neurochemical Research
45 citations, 0.71%
|
|
European Journal of Pharmacology
44 citations, 0.7%
|
|
Neurobiology of Disease
44 citations, 0.7%
|
|
Neurotoxicity Research
42 citations, 0.66%
|
|
Epilepsia
37 citations, 0.58%
|
|
Progress in Neurobiology
35 citations, 0.55%
|
|
Clinical and Experimental Allergy
33 citations, 0.52%
|
|
Epilepsy Research
32 citations, 0.51%
|
|
Frontiers in Pharmacology
32 citations, 0.51%
|
|
Experimental Neurology
32 citations, 0.51%
|
|
GLIA
31 citations, 0.49%
|
|
Frontiers in Molecular Neuroscience
31 citations, 0.49%
|
|
Journal of Neuroscience Research
29 citations, 0.46%
|
|
Cells
28 citations, 0.44%
|
|
Journal of Allergy and Clinical Immunology
27 citations, 0.43%
|
|
Journal of Biological Chemistry
26 citations, 0.41%
|
|
Journal of Thoracic Disease
26 citations, 0.41%
|
|
Behavioural Brain Research
25 citations, 0.4%
|
|
Food Chemistry
24 citations, 0.38%
|
|
World Allergy Organization Journal
23 citations, 0.36%
|
|
Cellular and Molecular Neurobiology
22 citations, 0.35%
|
|
Pharmacology and Therapeutics
22 citations, 0.35%
|
|
Molecules
21 citations, 0.33%
|
|
Stem Cells
21 citations, 0.33%
|
|
Frontiers in Immunology
20 citations, 0.32%
|
|
Journal of Ethnopharmacology
20 citations, 0.32%
|
|
Advances in Experimental Medicine and Biology
20 citations, 0.32%
|
|
Neuron
20 citations, 0.32%
|
|
ACS Chemical Neuroscience
19 citations, 0.3%
|
|
Pediatric Allergy and Immunology
19 citations, 0.3%
|
|
Food and Chemical Toxicology
19 citations, 0.3%
|
|
British Journal of Pharmacology
19 citations, 0.3%
|
|
Hippocampus
19 citations, 0.3%
|
|
Industrial Crops and Products
17 citations, 0.27%
|
|
Biomedicines
17 citations, 0.27%
|
|
International Journal of Environmental Research and Public Health
16 citations, 0.25%
|
|
Life Sciences
16 citations, 0.25%
|
|
NeuroToxicology
16 citations, 0.25%
|
|
BioMed Research International
16 citations, 0.25%
|
|
FASEB Journal
16 citations, 0.25%
|
|
Allergy, Asthma and Immunology Research
16 citations, 0.25%
|
|
Journal of Controlled Release
16 citations, 0.25%
|
|
Pharmacy
16 citations, 0.25%
|
|
Trends in Neurosciences
15 citations, 0.24%
|
|
Epilepsy and Behavior
15 citations, 0.24%
|
|
Journal of Chemical Neuroanatomy
15 citations, 0.24%
|
|
Progress in Neuro-Psychopharmacology and Biological Psychiatry
15 citations, 0.24%
|
|
Mediators of Inflammation
15 citations, 0.24%
|
|
European Respiratory Journal
15 citations, 0.24%
|
|
Nutrients
14 citations, 0.22%
|
|
Brain Research Bulletin
14 citations, 0.22%
|
|
Frontiers in Medicine
14 citations, 0.22%
|
|
Neural Regeneration Research
14 citations, 0.22%
|
|
Stem Cells International
14 citations, 0.22%
|
|
Pharmacological Reviews
13 citations, 0.21%
|
|
Toxicology Letters
13 citations, 0.21%
|
|
Journal of Asthma and Allergy
13 citations, 0.21%
|
|
ACS Nano
13 citations, 0.21%
|
|
NeuroReport
13 citations, 0.21%
|
|
Synapse
13 citations, 0.21%
|
|
Methods in Molecular Biology
12 citations, 0.19%
|
|
Brain Sciences
12 citations, 0.19%
|
|
Pharmacological Research
12 citations, 0.19%
|
|
Ageing Research Reviews
12 citations, 0.19%
|
|
Nature Reviews Neuroscience
12 citations, 0.19%
|
|
Journal of Physiology
12 citations, 0.19%
|
|
International Immunopharmacology
12 citations, 0.19%
|
|
Psychopharmacology
12 citations, 0.19%
|
|
Frontiers in Physiology
12 citations, 0.19%
|
|
Stem Cells and Development
12 citations, 0.19%
|
|
International Review of Neurobiology
12 citations, 0.19%
|
|
Journal of NeuroImmune Pharmacology
12 citations, 0.19%
|
|
Frontiers in Neurology
11 citations, 0.17%
|
|
Journal of Neurophysiology
11 citations, 0.17%
|
|
International Archives of Allergy and Immunology
11 citations, 0.17%
|
|
Frontiers in Cell and Developmental Biology
11 citations, 0.17%
|
|
Frontiers in Aging Neuroscience
11 citations, 0.17%
|
|
Biomolecules
11 citations, 0.17%
|
|
Journal of Alzheimer's Disease
11 citations, 0.17%
|
|
Show all (70 more) | |
50
100
150
200
250
300
350
400
|
Publishers
5
10
15
20
25
30
|
|
Elsevier
29 publications, 19.59%
|
|
Wiley
27 publications, 18.24%
|
|
Springer Nature
25 publications, 16.89%
|
|
Frontiers Media S.A.
14 publications, 9.46%
|
|
MDPI
6 publications, 4.05%
|
|
Bentham Science Publishers Ltd.
5 publications, 3.38%
|
|
Mary Ann Liebert
4 publications, 2.7%
|
|
Public Library of Science (PLoS)
4 publications, 2.7%
|
|
Oxford University Press
3 publications, 2.03%
|
|
Ovid Technologies (Wolters Kluwer Health)
3 publications, 2.03%
|
|
Society for Neuroscience
3 publications, 2.03%
|
|
American Chemical Society (ACS)
2 publications, 1.35%
|
|
AME Publishing Company
2 publications, 1.35%
|
|
Federation of American Societies for Experimental Biology (FASEB)
2 publications, 1.35%
|
|
IOS Press
1 publication, 0.68%
|
|
SAGE
1 publication, 0.68%
|
|
Proceedings of the National Academy of Sciences (PNAS)
1 publication, 0.68%
|
|
American Physiological Society
1 publication, 0.68%
|
|
American Society for Pharmacology and Experimental Therapeutics
1 publication, 0.68%
|
|
American Society for Biochemistry and Molecular Biology
1 publication, 0.68%
|
|
European Respiratory Society (ERS)
1 publication, 0.68%
|
|
5
10
15
20
25
30
|
Organizations from articles
20
40
60
80
100
120
|
|
University of Coimbra
107 publications, 72.3%
|
|
Organization not defined
|
Organization not defined, 37, 25%
Organization not defined
37 publications, 25%
|
University of Porto
11 publications, 7.43%
|
|
Medical University of Lodz
11 publications, 7.43%
|
|
Karolinska Institute
10 publications, 6.76%
|
|
University of Manchester
9 publications, 6.08%
|
|
Medical University of Warsaw
9 publications, 6.08%
|
|
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
9 publications, 6.08%
|
|
University of Versailles Saint-Quentin-en-Yvelines
9 publications, 6.08%
|
|
University of Lisbon
8 publications, 5.41%
|
|
Helsinki University Hospital
8 publications, 5.41%
|
|
Medical University of Graz
8 publications, 5.41%
|
|
Odense University Hospital
8 publications, 5.41%
|
|
Charité - Universitätsmedizin Berlin
8 publications, 5.41%
|
|
Amsterdam University Medical Center
8 publications, 5.41%
|
|
Hospital del Mar Research Institute
8 publications, 5.41%
|
|
University of Naples Federico II
7 publications, 4.73%
|
|
Sorbonne University
7 publications, 4.73%
|
|
Ghent University Hospital
7 publications, 4.73%
|
|
University of Salerno
7 publications, 4.73%
|
|
National and Kapodistrian University of Athens
7 publications, 4.73%
|
|
University of Beira Interior
7 publications, 4.73%
|
|
Centro Hospitalar e Universitário de Coimbra
7 publications, 4.73%
|
|
Hacettepe University
6 publications, 4.05%
|
|
Manisa Celal Bayar University
6 publications, 4.05%
|
|
Katholieke Universiteit Leuven
6 publications, 4.05%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
6 publications, 4.05%
|
|
University of Bari Aldo Moro
6 publications, 4.05%
|
|
University of Cologne
6 publications, 4.05%
|
|
Pompeu Fabra University
6 publications, 4.05%
|
|
University of Barcelona
6 publications, 4.05%
|
|
Université Paris-Saclay
6 publications, 4.05%
|
|
Istanbul University Cerrahpasa
5 publications, 3.38%
|
|
University of Genoa
5 publications, 3.38%
|
|
University of Turku
5 publications, 3.38%
|
|
Imperial College London
5 publications, 3.38%
|
|
University of Edinburgh
5 publications, 3.38%
|
|
University of Sydney
5 publications, 3.38%
|
|
Hospital San Martino
5 publications, 3.38%
|
|
Queen's University Belfast
5 publications, 3.38%
|
|
University Hospital Düsseldorf
5 publications, 3.38%
|
|
Leiden University Medical Center
5 publications, 3.38%
|
|
Federal University of Bahia
5 publications, 3.38%
|
|
National Research Center Institute of Immunology of the Federal Medical Biological Agency of Russia
4 publications, 2.7%
|
|
Cyprus University of Technology
4 publications, 2.7%
|
|
Karolinska University Hospital
4 publications, 2.7%
|
|
University of Zurich
4 publications, 2.7%
|
|
University of Turin
4 publications, 2.7%
|
|
University of Copenhagen
4 publications, 2.7%
|
|
Oslo University Hospital
4 publications, 2.7%
|
|
University of Southampton
4 publications, 2.7%
|
|
Universidade Federal do Rio de Janeiro
4 publications, 2.7%
|
|
Charles University
4 publications, 2.7%
|
|
Monash University
4 publications, 2.7%
|
|
The Alfred Hospital
4 publications, 2.7%
|
|
University of Crete
4 publications, 2.7%
|
|
Paris Cité University
4 publications, 2.7%
|
|
University Hospital of Giessen and Marburg
4 publications, 2.7%
|
|
University Medical Center Groningen
4 publications, 2.7%
|
|
University of Amsterdam
4 publications, 2.7%
|
|
Royal College of Surgeons in Ireland
4 publications, 2.7%
|
|
Hospital Clínic de Barcelona
4 publications, 2.7%
|
|
Getafe University Hospital
4 publications, 2.7%
|
|
National Center of Cardiology and Therapy named after academician Mirsaid Mirrahimov under the Ministry of Health of the Kyrgyz Republic
3 publications, 2.03%
|
|
David Tvildiani Medical University
3 publications, 2.03%
|
|
Grigol Robakidze University
3 publications, 2.03%
|
|
National Center for Disease Control and Public Health
3 publications, 2.03%
|
|
Eskisehir Osmangazi University
3 publications, 2.03%
|
|
Uppsala University
3 publications, 2.03%
|
|
Humboldt University of Berlin
3 publications, 2.03%
|
|
University Hospital of Zürich
3 publications, 2.03%
|
|
University of Nantes
3 publications, 2.03%
|
|
Lausanne University Hospital
3 publications, 2.03%
|
|
University of Milan
3 publications, 2.03%
|
|
Université Catholique de Louvain
3 publications, 2.03%
|
|
University College London
3 publications, 2.03%
|
|
University of Oslo
3 publications, 2.03%
|
|
University of Palermo
3 publications, 2.03%
|
|
University of Southern Denmark
3 publications, 2.03%
|
|
King's College London
3 publications, 2.03%
|
|
Humanitas University
3 publications, 2.03%
|
|
Helmholtz Zentrum München
3 publications, 2.03%
|
|
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
3 publications, 2.03%
|
|
University Medical Center Utrecht
3 publications, 2.03%
|
|
Wrocław Medical University
3 publications, 2.03%
|
|
Polytechnic University of Valencia
3 publications, 2.03%
|
|
Université Laval
3 publications, 2.03%
|
|
University of Leicester
3 publications, 2.03%
|
|
University of Belgrade
3 publications, 2.03%
|
|
École pratique des hautes études
3 publications, 2.03%
|
|
University Hospitals of Leicester NHS Trust
3 publications, 2.03%
|
|
Pirogov Russian National Research Medical University
2 publications, 1.35%
|
|
National Medical Scientific Center of Children's Health
2 publications, 1.35%
|
|
Basque Foundation for Science
2 publications, 1.35%
|
|
Universitair Ziekenhuis Leuven
2 publications, 1.35%
|
|
University of Twente
2 publications, 1.35%
|
|
Ghent University
2 publications, 1.35%
|
|
Emek Medical Center
2 publications, 1.35%
|
|
Free University of Berlin
2 publications, 1.35%
|
|
Linköping University
2 publications, 1.35%
|
|
Show all (70 more) | |
20
40
60
80
100
120
|
Countries from articles
20
40
60
80
100
120
|
|
Portugal
|
Portugal, 119, 80.41%
Portugal
119 publications, 80.41%
|
Country not defined
|
Country not defined, 34, 22.97%
Country not defined
34 publications, 22.97%
|
Brazil
|
Brazil, 24, 16.22%
Brazil
24 publications, 16.22%
|
Spain
|
Spain, 20, 13.51%
Spain
20 publications, 13.51%
|
Italy
|
Italy, 19, 12.84%
Italy
19 publications, 12.84%
|
France
|
France, 18, 12.16%
France
18 publications, 12.16%
|
United Kingdom
|
United Kingdom, 18, 12.16%
United Kingdom
18 publications, 12.16%
|
Denmark
|
Denmark, 15, 10.14%
Denmark
15 publications, 10.14%
|
USA
|
USA, 14, 9.46%
USA
14 publications, 9.46%
|
Germany
|
Germany, 13, 8.78%
Germany
13 publications, 8.78%
|
Sweden
|
Sweden, 13, 8.78%
Sweden
13 publications, 8.78%
|
Netherlands
|
Netherlands, 12, 8.11%
Netherlands
12 publications, 8.11%
|
Poland
|
Poland, 12, 8.11%
Poland
12 publications, 8.11%
|
Belgium
|
Belgium, 9, 6.08%
Belgium
9 publications, 6.08%
|
Greece
|
Greece, 9, 6.08%
Greece
9 publications, 6.08%
|
Finland
|
Finland, 9, 6.08%
Finland
9 publications, 6.08%
|
Austria
|
Austria, 8, 5.41%
Austria
8 publications, 5.41%
|
Turkey
|
Turkey, 8, 5.41%
Turkey
8 publications, 5.41%
|
Switzerland
|
Switzerland, 8, 5.41%
Switzerland
8 publications, 5.41%
|
Lithuania
|
Lithuania, 7, 4.73%
Lithuania
7 publications, 4.73%
|
Ireland
|
Ireland, 6, 4.05%
Ireland
6 publications, 4.05%
|
Romania
|
Romania, 6, 4.05%
Romania
6 publications, 4.05%
|
Czech Republic
|
Czech Republic, 6, 4.05%
Czech Republic
6 publications, 4.05%
|
Russia
|
Russia, 5, 3.38%
Russia
5 publications, 3.38%
|
Australia
|
Australia, 5, 3.38%
Australia
5 publications, 3.38%
|
Argentina
|
Argentina, 5, 3.38%
Argentina
5 publications, 3.38%
|
Hungary
|
Hungary, 5, 3.38%
Hungary
5 publications, 3.38%
|
Mexico
|
Mexico, 5, 3.38%
Mexico
5 publications, 3.38%
|
Ukraine
|
Ukraine, 4, 2.7%
Ukraine
4 publications, 2.7%
|
Bulgaria
|
Bulgaria, 4, 2.7%
Bulgaria
4 publications, 2.7%
|
Canada
|
Canada, 4, 2.7%
Canada
4 publications, 2.7%
|
Cyprus
|
Cyprus, 4, 2.7%
Cyprus
4 publications, 2.7%
|
Norway
|
Norway, 4, 2.7%
Norway
4 publications, 2.7%
|
Slovenia
|
Slovenia, 4, 2.7%
Slovenia
4 publications, 2.7%
|
Croatia
|
Croatia, 4, 2.7%
Croatia
4 publications, 2.7%
|
Georgia
|
Georgia, 3, 2.03%
Georgia
3 publications, 2.03%
|
Kyrgyzstan
|
Kyrgyzstan, 3, 2.03%
Kyrgyzstan
3 publications, 2.03%
|
Malta
|
Malta, 3, 2.03%
Malta
3 publications, 2.03%
|
North Macedonia
|
North Macedonia, 3, 2.03%
North Macedonia
3 publications, 2.03%
|
Serbia
|
Serbia, 3, 2.03%
Serbia
3 publications, 2.03%
|
China
|
China, 2, 1.35%
China
2 publications, 1.35%
|
Venezuela
|
Venezuela, 2, 1.35%
Venezuela
2 publications, 1.35%
|
Vietnam
|
Vietnam, 2, 1.35%
Vietnam
2 publications, 1.35%
|
Egypt
|
Egypt, 2, 1.35%
Egypt
2 publications, 1.35%
|
Israel
|
Israel, 2, 1.35%
Israel
2 publications, 1.35%
|
Democratic Republic of the Congo
|
Democratic Republic of the Congo, 2, 1.35%
Democratic Republic of the Congo
2 publications, 1.35%
|
UAE
|
UAE, 2, 1.35%
UAE
2 publications, 1.35%
|
Pakistan
|
Pakistan, 2, 1.35%
Pakistan
2 publications, 1.35%
|
Paraguay
|
Paraguay, 2, 1.35%
Paraguay
2 publications, 1.35%
|
Republic of Korea
|
Republic of Korea, 2, 1.35%
Republic of Korea
2 publications, 1.35%
|
Slovakia
|
Slovakia, 2, 1.35%
Slovakia
2 publications, 1.35%
|
Chile
|
Chile, 2, 1.35%
Chile
2 publications, 1.35%
|
South Africa
|
South Africa, 2, 1.35%
South Africa
2 publications, 1.35%
|
Japan
|
Japan, 2, 1.35%
Japan
2 publications, 1.35%
|
Bangladesh
|
Bangladesh, 1, 0.68%
Bangladesh
1 publication, 0.68%
|
Burkina Faso
|
Burkina Faso, 1, 0.68%
Burkina Faso
1 publication, 0.68%
|
Iran
|
Iran, 1, 0.68%
Iran
1 publication, 0.68%
|
Colombia
|
Colombia, 1, 0.68%
Colombia
1 publication, 0.68%
|
New Zealand
|
New Zealand, 1, 0.68%
New Zealand
1 publication, 0.68%
|
Singapore
|
Singapore, 1, 0.68%
Singapore
1 publication, 0.68%
|
Syria
|
Syria, 1, 0.68%
Syria
1 publication, 0.68%
|
Trinidad and Tobago
|
Trinidad and Tobago, 1, 0.68%
Trinidad and Tobago
1 publication, 0.68%
|
Uruguay
|
Uruguay, 1, 0.68%
Uruguay
1 publication, 0.68%
|
Show all (33 more) | |
20
40
60
80
100
120
|
Citing organizations
200
400
600
800
1000
1200
1400
|
|
Organization not defined
|
Organization not defined, 1330, 21.03%
Organization not defined
1330 citations, 21.03%
|
University of Coimbra
279 citations, 4.41%
|
|
Charité - Universitätsmedizin Berlin
112 citations, 1.77%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
101 citations, 1.6%
|
|
University of Porto
93 citations, 1.47%
|
|
Amsterdam University Medical Center
81 citations, 1.28%
|
|
Humboldt University of Berlin
67 citations, 1.06%
|
|
University of Beira Interior
65 citations, 1.03%
|
|
Karolinska Institute
62 citations, 0.98%
|
|
University of Lisbon
61 citations, 0.96%
|
|
Helsinki University Hospital
60 citations, 0.95%
|
|
Free University of Berlin
52 citations, 0.82%
|
|
University of Genoa
51 citations, 0.81%
|
|
University of Copenhagen
51 citations, 0.81%
|
|
Pompeu Fabra University
50 citations, 0.79%
|
|
University of Barcelona
50 citations, 0.79%
|
|
University Hospital of Giessen and Marburg
48 citations, 0.76%
|
|
University of Amsterdam
48 citations, 0.76%
|
|
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
48 citations, 0.76%
|
|
Mario Negri Institute for Pharmacological Research
47 citations, 0.74%
|
|
Medical University of Warsaw
46 citations, 0.73%
|
|
Medical University of Graz
45 citations, 0.71%
|
|
University College London
45 citations, 0.71%
|
|
Medical University of Lodz
45 citations, 0.71%
|
|
University of Naples Federico II
44 citations, 0.7%
|
|
University of Sydney
44 citations, 0.7%
|
|
National and Kapodistrian University of Athens
44 citations, 0.7%
|
|
Katholieke Universiteit Leuven
43 citations, 0.68%
|
|
Imperial College London
43 citations, 0.68%
|
|
Humanitas University
42 citations, 0.66%
|
|
University of Versailles Saint-Quentin-en-Yvelines
42 citations, 0.66%
|
|
University of Edinburgh
41 citations, 0.65%
|
|
University of Bari Aldo Moro
40 citations, 0.63%
|
|
Monash University
40 citations, 0.63%
|
|
Université Paris-Saclay
39 citations, 0.62%
|
|
Manisa Celal Bayar University
37 citations, 0.58%
|
|
Istanbul University Cerrahpasa
36 citations, 0.57%
|
|
University of Turin
36 citations, 0.57%
|
|
Ghent University
35 citations, 0.55%
|
|
Ghent University Hospital
35 citations, 0.55%
|
|
Fraunhofer Institute for Translational Medicine and Pharmacology
35 citations, 0.55%
|
|
Federal University of Bahia
35 citations, 0.55%
|
|
Odense University Hospital
34 citations, 0.54%
|
|
University of Manchester
34 citations, 0.54%
|
|
Universitair Ziekenhuis Leuven
33 citations, 0.52%
|
|
Sorbonne University
33 citations, 0.52%
|
|
Harvard University
33 citations, 0.52%
|
|
University of Bordeaux
32 citations, 0.51%
|
|
Universidade Federal do Rio de Janeiro
32 citations, 0.51%
|
|
University Medical Center of the Johannes Gutenberg University Mainz
32 citations, 0.51%
|
|
Autonomous University of Madrid
31 citations, 0.49%
|
|
Wrocław Medical University
31 citations, 0.49%
|
|
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
30 citations, 0.47%
|
|
McMaster University
30 citations, 0.47%
|
|
National Autonomous University of Mexico
29 citations, 0.46%
|
|
Hospital del Mar Research Institute
29 citations, 0.46%
|
|
University of Melbourne
28 citations, 0.44%
|
|
University of Cagliari
27 citations, 0.43%
|
|
University of South Florida
27 citations, 0.43%
|
|
Universidad Complutense de Madrid
27 citations, 0.43%
|
|
Johns Hopkins University
26 citations, 0.41%
|
|
University of Crete
26 citations, 0.41%
|
|
University Medical Center Groningen
26 citations, 0.41%
|
|
Hospital San Martino
25 citations, 0.4%
|
|
University of Milan
24 citations, 0.38%
|
|
University of California, Los Angeles
24 citations, 0.38%
|
|
University of Cologne
24 citations, 0.38%
|
|
Ludwig Maximilian University of Munich
24 citations, 0.38%
|
|
University of Toronto
24 citations, 0.38%
|
|
University of Liège
23 citations, 0.36%
|
|
University of Helsinki
23 citations, 0.36%
|
|
Capital Medical University
23 citations, 0.36%
|
|
University of Turku
23 citations, 0.36%
|
|
National University of Singapore
23 citations, 0.36%
|
|
Université Laval
23 citations, 0.36%
|
|
Université Catholique de Louvain
22 citations, 0.35%
|
|
Paris Cité University
22 citations, 0.35%
|
|
Karolinska University Hospital
21 citations, 0.33%
|
|
Sapienza University of Rome
21 citations, 0.33%
|
|
University of Zurich
21 citations, 0.33%
|
|
Sun Yat-sen University
21 citations, 0.33%
|
|
Università Cattolica del Sacro Cuore
21 citations, 0.33%
|
|
McGill University
21 citations, 0.33%
|
|
Emory University
21 citations, 0.33%
|
|
University of Alberta
21 citations, 0.33%
|
|
University of Palermo
20 citations, 0.32%
|
|
King's College London
20 citations, 0.32%
|
|
Charles University
20 citations, 0.32%
|
|
Boston University
20 citations, 0.32%
|
|
University of California, San Francisco
20 citations, 0.32%
|
|
University of Bristol
20 citations, 0.32%
|
|
Biomedical Research Networking Center on Neurodegenerative Diseases
20 citations, 0.32%
|
|
University of Belgrade
20 citations, 0.32%
|
|
Medical University of Gdańsk
20 citations, 0.32%
|
|
Istanbul University
19 citations, 0.3%
|
|
Technical University of Munich
19 citations, 0.3%
|
|
Skåne University Hospital
19 citations, 0.3%
|
|
Medical University of Vienna
19 citations, 0.3%
|
|
University of Salerno
19 citations, 0.3%
|
|
Stanford University
19 citations, 0.3%
|
|
Show all (70 more) | |
200
400
600
800
1000
1200
1400
|
Citing countries
100
200
300
400
500
600
700
800
900
1000
|
|
USA
|
USA, 992, 15.68%
USA
992 citations, 15.68%
|
Country not defined
|
Country not defined, 813, 12.85%
Country not defined
813 citations, 12.85%
|
China
|
China, 509, 8.05%
China
509 citations, 8.05%
|
Portugal
|
Portugal, 481, 7.6%
Portugal
481 citations, 7.6%
|
Italy
|
Italy, 440, 6.96%
Italy
440 citations, 6.96%
|
United Kingdom
|
United Kingdom, 364, 5.75%
United Kingdom
364 citations, 5.75%
|
Germany
|
Germany, 345, 5.45%
Germany
345 citations, 5.45%
|
Spain
|
Spain, 333, 5.26%
Spain
333 citations, 5.26%
|
France
|
France, 295, 4.66%
France
295 citations, 4.66%
|
Brazil
|
Brazil, 239, 3.78%
Brazil
239 citations, 3.78%
|
Canada
|
Canada, 216, 3.42%
Canada
216 citations, 3.42%
|
Australia
|
Australia, 205, 3.24%
Australia
205 citations, 3.24%
|
Netherlands
|
Netherlands, 186, 2.94%
Netherlands
186 citations, 2.94%
|
Japan
|
Japan, 176, 2.78%
Japan
176 citations, 2.78%
|
Poland
|
Poland, 161, 2.55%
Poland
161 citations, 2.55%
|
Belgium
|
Belgium, 159, 2.51%
Belgium
159 citations, 2.51%
|
Sweden
|
Sweden, 137, 2.17%
Sweden
137 citations, 2.17%
|
Republic of Korea
|
Republic of Korea, 136, 2.15%
Republic of Korea
136 citations, 2.15%
|
Turkey
|
Turkey, 132, 2.09%
Turkey
132 citations, 2.09%
|
India
|
India, 130, 2.06%
India
130 citations, 2.06%
|
Mexico
|
Mexico, 115, 1.82%
Mexico
115 citations, 1.82%
|
Iran
|
Iran, 112, 1.77%
Iran
112 citations, 1.77%
|
Denmark
|
Denmark, 104, 1.64%
Denmark
104 citations, 1.64%
|
Finland
|
Finland, 104, 1.64%
Finland
104 citations, 1.64%
|
Switzerland
|
Switzerland, 98, 1.55%
Switzerland
98 citations, 1.55%
|
Austria
|
Austria, 95, 1.5%
Austria
95 citations, 1.5%
|
Russia
|
Russia, 92, 1.45%
Russia
92 citations, 1.45%
|
Greece
|
Greece, 91, 1.44%
Greece
91 citations, 1.44%
|
Romania
|
Romania, 61, 0.96%
Romania
61 citations, 0.96%
|
Ireland
|
Ireland, 58, 0.92%
Ireland
58 citations, 0.92%
|
Lithuania
|
Lithuania, 58, 0.92%
Lithuania
58 citations, 0.92%
|
Hungary
|
Hungary, 53, 0.84%
Hungary
53 citations, 0.84%
|
Singapore
|
Singapore, 49, 0.77%
Singapore
49 citations, 0.77%
|
Argentina
|
Argentina, 44, 0.7%
Argentina
44 citations, 0.7%
|
Czech Republic
|
Czech Republic, 43, 0.68%
Czech Republic
43 citations, 0.68%
|
Egypt
|
Egypt, 39, 0.62%
Egypt
39 citations, 0.62%
|
Serbia
|
Serbia, 39, 0.62%
Serbia
39 citations, 0.62%
|
Israel
|
Israel, 38, 0.6%
Israel
38 citations, 0.6%
|
Norway
|
Norway, 37, 0.58%
Norway
37 citations, 0.58%
|
Saudi Arabia
|
Saudi Arabia, 33, 0.52%
Saudi Arabia
33 citations, 0.52%
|
Slovenia
|
Slovenia, 31, 0.49%
Slovenia
31 citations, 0.49%
|
Thailand
|
Thailand, 30, 0.47%
Thailand
30 citations, 0.47%
|
South Africa
|
South Africa, 29, 0.46%
South Africa
29 citations, 0.46%
|
Malaysia
|
Malaysia, 28, 0.44%
Malaysia
28 citations, 0.44%
|
New Zealand
|
New Zealand, 27, 0.43%
New Zealand
27 citations, 0.43%
|
Ukraine
|
Ukraine, 25, 0.4%
Ukraine
25 citations, 0.4%
|
Chile
|
Chile, 25, 0.4%
Chile
25 citations, 0.4%
|
Lebanon
|
Lebanon, 24, 0.38%
Lebanon
24 citations, 0.38%
|
Pakistan
|
Pakistan, 21, 0.33%
Pakistan
21 citations, 0.33%
|
Bulgaria
|
Bulgaria, 20, 0.32%
Bulgaria
20 citations, 0.32%
|
Kuwait
|
Kuwait, 18, 0.28%
Kuwait
18 citations, 0.28%
|
Slovakia
|
Slovakia, 18, 0.28%
Slovakia
18 citations, 0.28%
|
Luxembourg
|
Luxembourg, 16, 0.25%
Luxembourg
16 citations, 0.25%
|
Croatia
|
Croatia, 16, 0.25%
Croatia
16 citations, 0.25%
|
Cyprus
|
Cyprus, 14, 0.22%
Cyprus
14 citations, 0.22%
|
North Macedonia
|
North Macedonia, 14, 0.22%
North Macedonia
14 citations, 0.22%
|
UAE
|
UAE, 13, 0.21%
UAE
13 citations, 0.21%
|
Colombia
|
Colombia, 12, 0.19%
Colombia
12 citations, 0.19%
|
Ecuador
|
Ecuador, 12, 0.19%
Ecuador
12 citations, 0.19%
|
Kazakhstan
|
Kazakhstan, 11, 0.17%
Kazakhstan
11 citations, 0.17%
|
Bangladesh
|
Bangladesh, 11, 0.17%
Bangladesh
11 citations, 0.17%
|
Vietnam
|
Vietnam, 10, 0.16%
Vietnam
10 citations, 0.16%
|
Indonesia
|
Indonesia, 10, 0.16%
Indonesia
10 citations, 0.16%
|
Nigeria
|
Nigeria, 10, 0.16%
Nigeria
10 citations, 0.16%
|
Georgia
|
Georgia, 9, 0.14%
Georgia
9 citations, 0.14%
|
Malta
|
Malta, 9, 0.14%
Malta
9 citations, 0.14%
|
Qatar
|
Qatar, 8, 0.13%
Qatar
8 citations, 0.13%
|
Philippines
|
Philippines, 8, 0.13%
Philippines
8 citations, 0.13%
|
Syria
|
Syria, 7, 0.11%
Syria
7 citations, 0.11%
|
Estonia
|
Estonia, 6, 0.09%
Estonia
6 citations, 0.09%
|
Puerto Rico
|
Puerto Rico, 6, 0.09%
Puerto Rico
6 citations, 0.09%
|
Tunisia
|
Tunisia, 6, 0.09%
Tunisia
6 citations, 0.09%
|
Uruguay
|
Uruguay, 6, 0.09%
Uruguay
6 citations, 0.09%
|
Algeria
|
Algeria, 5, 0.08%
Algeria
5 citations, 0.08%
|
Venezuela
|
Venezuela, 5, 0.08%
Venezuela
5 citations, 0.08%
|
Mozambique
|
Mozambique, 5, 0.08%
Mozambique
5 citations, 0.08%
|
Jordan
|
Jordan, 4, 0.06%
Jordan
4 citations, 0.06%
|
Cape Verde
|
Cape Verde, 4, 0.06%
Cape Verde
4 citations, 0.06%
|
Democratic Republic of the Congo
|
Democratic Republic of the Congo, 4, 0.06%
Democratic Republic of the Congo
4 citations, 0.06%
|
Cuba
|
Cuba, 4, 0.06%
Cuba
4 citations, 0.06%
|
Paraguay
|
Paraguay, 4, 0.06%
Paraguay
4 citations, 0.06%
|
Albania
|
Albania, 3, 0.05%
Albania
3 citations, 0.05%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 3, 0.05%
Bosnia and Herzegovina
3 citations, 0.05%
|
Iraq
|
Iraq, 3, 0.05%
Iraq
3 citations, 0.05%
|
Kenya
|
Kenya, 3, 0.05%
Kenya
3 citations, 0.05%
|
Kyrgyzstan
|
Kyrgyzstan, 3, 0.05%
Kyrgyzstan
3 citations, 0.05%
|
Morocco
|
Morocco, 3, 0.05%
Morocco
3 citations, 0.05%
|
Oman
|
Oman, 3, 0.05%
Oman
3 citations, 0.05%
|
Sudan
|
Sudan, 3, 0.05%
Sudan
3 citations, 0.05%
|
Trinidad and Tobago
|
Trinidad and Tobago, 3, 0.05%
Trinidad and Tobago
3 citations, 0.05%
|
Montenegro
|
Montenegro, 3, 0.05%
Montenegro
3 citations, 0.05%
|
Armenia
|
Armenia, 2, 0.03%
Armenia
2 citations, 0.03%
|
Burkina Faso
|
Burkina Faso, 2, 0.03%
Burkina Faso
2 citations, 0.03%
|
Zimbabwe
|
Zimbabwe, 2, 0.03%
Zimbabwe
2 citations, 0.03%
|
Costa Rica
|
Costa Rica, 2, 0.03%
Costa Rica
2 citations, 0.03%
|
Latvia
|
Latvia, 2, 0.03%
Latvia
2 citations, 0.03%
|
Moldova
|
Moldova, 2, 0.03%
Moldova
2 citations, 0.03%
|
Nepal
|
Nepal, 2, 0.03%
Nepal
2 citations, 0.03%
|
Jamaica
|
Jamaica, 2, 0.03%
Jamaica
2 citations, 0.03%
|
Belarus
|
Belarus, 1, 0.02%
Belarus
1 citation, 0.02%
|
Show all (70 more) | |
100
200
300
400
500
600
700
800
900
1000
|
- We do not take into account publications without a DOI.
- Statistics recalculated daily.