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SCImago
Q2
WOS
Q2
Impact factor
2
SJR
0.853
CiteScore
3.4
Categories
Ophthalmology
Areas
Medicine
Years of issue
2016-2025
journal names
BMJ Open Ophthalmology
BMJ OPEN OPHTHALMOL
Top-3 citing journals

Eye
(136 citations)

Journal of Clinical Medicine
(129 citations)

Clinical Ophthalmology
(125 citations)
Top-3 organizations

University of Liverpool
(24 publications)

London School of Hygiene & Tropical Medicine
(18 publications)

University College London
(17 publications)

University of Liverpool
(19 publications)

University College London
(15 publications)

London School of Hygiene & Tropical Medicine
(12 publications)
Top-3 countries
Most cited in 5 years
Found
Publications found: 1335
Q2

Characterization and function analysis of a glucose-regulated protein 78 gene in Neocaridina denticulata sinensis
Feng D., Liu Y., Wang C., Li X., Li H., Sun Y., Zhang J.
Endoplasmic reticulum (ER) homeostasis is vital to cell physiological functions. Glucose-regulated protein 78 (GRP78) is a molecular chaperone considered a sensor of ER stress and participates in maintaining ER homeostasis. However, very few studies have provided detailed descriptions of crustacean GRP78 genes. The complete coding sequence of the GRP78 of Neocaridina denticulata sinensis was obtained and termed NdGRP78 in this study. Sequence analysis showed that the open reading frame of NdGRP78 encodes a protein of 656 amino acid residues, and the encoded protein includes three heat shock proteins 70 (HSP70) family conservational motifs, one ATP/GTP binding site A, and one ER homolog region. Multiple sequence alignments demonstrated that the sequences of these key protein functional domains were highly conserved. Phylogenetic analysis revealed that the NdGRP78 protein belongs to a member of the HSP70 family. The NdGRP78 mRNA was detected in all tested tissues by realtime fluorescence quantitative PCR (qPCR), suggesting that the NdGRP78 mRNA was the constituent expression in N. denticulata sinensis. The in-situ hybridization result showed that the expression of NdGRP78 mRNA occurred in all types of hepatopancreas cells. Furthermore, the NdGRP78 expression was significantly increased when shrimp were transferred into Vibrio parahaemolyticus-EGFP infected conditions, low or high temperature, and hypoxia. The above results indicate that NdGRP78 expressions were associated with stress responses. This study provided a theoretical support to the good understanding of the role of NdGRP78 in response to different types of environmental stress tolerance.
Q2

A hybrid coupled model for the tropical Pacific constructed by integrating ROMS with a statistical atmospheric model
Zhang R., Zhang W., Yu Y., Li Y., Tian F., Gao C., Wang H.
Numerical models are crucial for quantifying the ocean-atmosphere interactions associated with the El Niño-Southern Oscillation (ENSO) phenomenon in the tropical Pacific. Current coupled models often exhibit significant biases and inter-model differences in simulating ENSO, underscoring the need for alternative modeling approaches. The Regional Ocean Modeling System (ROMS) is a sophisticated ocean model widely used for regional studies and has been coupled with various atmospheric models. However, its application in simulating ENSO processes on a basin scale in the tropical Pacific has not been explored. For the first time, this study presents the development of a basin-scale hybrid coupled model (HCM) for the tropical Pacific, integrating ROMS with a statistical atmospheric model that captures the interannual relationships between sea surface temperature (SST) and wind stress anomalies. The HCM is evaluated for its capability to simulate the annual mean, seasonal, and interannual variations of the oceanic state in the tropical Pacific. Results demonstrate that the model effectively reproduces the ENSO cycle, with a dominant oscillation period of approximately two years. The ROMS-based HCM developed here offers an efficient and robust tool for investigating climate variability in the tropical Pacific.
Q2

Plasticizers released from PVC microplastics in aquaculture environments: leaching behaviors and ecological implications
Fung L.T., Liu M., Yang K., Cao Y., Chen Y., Yan M., Leung M.Y.
Contamination of microplastics (MPs) and their associated plastic additives in the marine environment is a global concern due to their widespread distribution and toxicity to aquatic life. Although polyvinyl chloride (PVC) materials are commonly used in aquaculture environments, the potential risks of PVC MPs and the release of their additives in aquatic environments and organisms remain largely unknown. In this study, we investigated the leaching behaviors of phthalate esters (PAEs), including the mass and composition of PAEs in PVC MPs and their leaching kinetics, and evaluated the environmental risks of using PVC canvas in aquaculture activities. It was found that diethyl phthalate (DEP) was the most dominant PAE compound leached from PVC MPs (44.70±7.87 ng/g), followed by dimethyl phthalate (DMP, 24.40±1.56 ng/g). The Elovich model was applied to simulate the leaching kinetics, and the simulated curves showed similar logarithmic trends that PAEs rapidly migrated from MPs to the water column at first and followed by a gradual increase over time. The different leaching kinetics of PAEs can be explained by their chemical properties, such as water solubility, molecular weight, and octanol-water partition coefficient. Compounds with lower solubility showed higher leaching coefficients, which are the constants of different PAEs in Elovich equation. Considering the potential joint toxicity of PVC leachates and the importance of food security, it is recommended to use PVC products responsibly and manage plastic waste properly.
Q2

Geochemistry, petrology, and the tectonic evolution during the Middle Permian-Early Triassic in South Yellow Sea and East China Sea
Huang Y., Guo X., Zhang X., Cai L., Yan K., Ding D., Zhu W., Xu C.
The Yangtze Plate (YP) and the North China Plate (NCP) are key components of the East Asian continent, and their collision significantly influences the tectonic evolution of the eastern Asian continental margin. As the South Yellow Sea is located at the convergence of these plates, it becomes a pivotal area for understanding the tectonic evolution of East Asia. The characteristics and provenance of clastic rocks of the Middle Permian-the Early Triassic were analyzed and the strata in the Central Uplift including the Qinglong Formation (T1q) and Talung Formation (P3d), consisting of various mudstones and sandstones, were anatomized. Results show that quartz and feldspar are the main diagenetic minerals, while illite and chlorite show signs of secondary alterations. Geochemical imprints indicate a gradual shift in provenance from ancient sedimentary and mafic igneous rocks to intermediate igneous rocks. In the meantime, the tectonic background transformed from continent to continental island arc from the Middle Permian to the Early Triassic. Therefore, we inferred that a soft collision between the North China Plate and the Yangtze Plate likely occurred during the Late Permian, resulted in intensified collision between two plates in the Early Triassic, and shaped the South Yellow Sea. This study provided valuable information on the timing of plate collisions in the South Yellow Sea.
Q2

Identification of Schizothorax species in Yarkand River, (Xinjiang, China) based on otolith morphology
Wang C., Ye S., Xia L., Yang L., Serekbol G., Hou Q., Lin X., Song Y., Wang B., Chen S.
This study explored the morphological characteristics and differences of the otoliths in three native species, Schizothorax biddulphi, S. eurystomus and S. curvifrons, in the Yarkand River of the Tarim River, Xinjiang, China. A total of 93 specimens (27 S. biddulphi, 39 S. eurystomus, and 27 S. curvifrons) were analyzed using six basic otolith morphological parameters (OA, Rmax, Rmin, OP, OL, OW) to derive six factors (F1, F2, F3, F4, F5, F6) and seven indices (RO, FF, CI, RE, EL, RR, AR) for morphological assessment. A discriminant analysis incorporating 77 Fourier coefficients of the otoliths revealed distinct morphological differences among the species. A significant power function relationship between otolith morphology and standard length was observed across the species, with R2 values ranging from 0.409 to 0.749. Principal component analysis (PCA) of 7 traditional otolith morphological indicators explained 81.243% of the variance, yielding an overall species discrimination rate of 81.65%. Further PCA of 77 Fourier harmonic values enhanced the discrimination accuracy, with the first 3 components accounting for 77.49% of the total variation and an improved discrimination rate of 100.00%. Cluster analysis resulted in the grouping of S. biddulphi and S. curvifrons together and revealed their association with S. eurystomus, indicating notable morphological distinctions. Both otolith shape indices and elliptical Fourier analysis have been useful in distinguishing the phenotypic units of different fish species. In this study, otolith morphology was applied for the first time to identify Schizothorax species, providing an in-depth description of species distribution and evolutionary history. This study provides a reference for the identification and systematic classification of Schizothorax species and a scientific basis for formulating effective species protection measures, for promoting the sustainable management of species and important habitats.
Q2

Description of two new species, Sphaerolaimus obesus sp. nov. and Pseudosteineria articulata sp. nov. (Nematoda, Sphaerolaimoidea) from the Yellow Sea, China and phylogenetic analysis within superfamily Sphaerolaimoidea with combined ribosome DNA sequences
Meng Z., Guo W., Wang C.
Two new species of superfamily Sphaerolaimoidea: Sphaerolaimus obesus sp. nov. and Pseudosteineria articulata sp. nov. are described from the Yellow Sea. Sphaerolaimus obesus sp. nov. is characterized by body stout, cuticle finely striated with lateral alae, outer labial sensilla and cephalic sensilla papilliform, eight bunches of subcephalic setae different in length, amphidial fovea situated at the level of buccal cavity, spicules arcuated with proximal end cephalated, gubernaculum with dorsal-caudal directed apophysis different in shape, seven precloacal papilliform supplements, tail conico-cylindrical with three terminal setae. Pseudosteineria articulata sp. nov. is characterized by cuticle distinctly annulated with lateral alae, six outer labial setae jointed, eight rows of subcephalic setae present, two rows of long somatic setae scattered along lateral alae, amphidial fovea posterior to subcephalic setae, spicules curved and jointed with proximal end with large manubrium, gubernaculum slightly funnel-shaped, tail conico-cylindrical. Phylogenetic analysis based on combined rDNA sequences place Sphaerolaimus obesus sp. nov. and Pseudosteineria articulata sp. nov. within family Sphaerolaimidae and Xyalidae, respectively. Relationships analysis within the superfamily Sphaerolaimoidea shows Sphaerolaimidae as a sister clade to Xyalidae and genera of Xyalidae as paraphyletic clades.
Q2

Navigating the blue economy: a comprehensive review of marine pollution and sustainable approaches
Etim I.N., Ekerenam O.O., Ikeuba A.I., Njoku C.N., Emori W., Zhang R., Duan J.
Marine pollution is a well-recognized phenomenon that has many negative effects on the marine environment. The effects of marine pollution are due to the discharge of hazardous materials, toxins, or other pollutants into the marine environment, which includes seas, estuaries, oceans, and other water bodies, and this unwanted input affects the blue economy. The blue economy, which includes industries and research associated with marine and ocean resources, is often affected by marine pollution on multiple levels, such as economic costs, direct resource impacts, health risks, and infrastructure damage. In one report, the pollution-related issues in many countries were estimated at 9 t/inh and cleanup costs between $12 to $160/t. More extensive pollution mitigation projects might take up to 15 years to conclude and cost up to $500/t. To better understand the role of marine pollution and its impact on the blue economy, some key parameters are discussed as follows: the role of biofouling, volatile organic compounds, the impact of metals, anionic pollutants, and antifouling coatings. The review findings also highlight the impact of marine pollution on ecosystems and associated economic activities, which could be reduced through measures such as better international cooperation, waste management, and the development of sustainable practices. Related information on the strategies and policies that could be adopted for sustainable blue economy are stated after each section.
Q2

Three new species of the order Enoplida (Nematoda) from the Yellow Sea, China
Sun L., Zhai H., Huang Y.
Three new free-living marine nematodes belong to the order Enoplida from the Yellow Sea, China are described. The first new species, Halanonchus gracilis sp. nov. is characterized by inner labial sensilla papillose, outer labial setae and cephalic setae thick, with thin tips; oval amphideal fovea located posterior to buccal cavity; males possessing midventral row of 10–12 papilliform pharyngeal supplements and 13–15 unequal papilliform precloacal supplements; spicules almost straight, 0.85–1.0 cloacal body diameter long; gubernaculum rod-shaped. The main difference between the described species and other known species within the genus is that precloacal supplements are unequal, 6–7 posterior supplements smaller and closer, the rest 7–8 proximal supplements larger and far away. The genus Halanonchus is the first record from the Chinese sea area. The second new species, Micoletzkyia oxycephalata sp. nov. is characterized by very sharp-pointed anterior part of body, paired spicules unequal and precloacal supplement situated anterior to proximal end of spicules. This new species can be easily distinguished from all other known species of Micoletzkyia by outstanding body shape, unequal spicules, stick shaped gubernaculum without apophysis, and the position of precloacal supplement. The third new species, Wieseria zhangi sp. nov. is characterized by slender body with a clavate tail; large amphideal fovea oblong, double contour with a manubrium basally, situated posterior to cephalic setae; spicules short, slightly arcuated, not cephalated proximally, without internal stripe and ventral alae; gubernaculum rodlike, without apophysis; a short midventral spine positioned 11–12 µm anterior to the cloaca. Updated keys to species of three genera Halanonchus, Micoletzkyia, and Wieseria are also given.
Q2

Establishing an assessment framework for the risk of dinoflagellate HABs based on cyst-mapping of marine sediments
Pan S., Shang L., Liu X., Liu Y., Tao Z., Deng Y., Chai Z., Tang Y.
Harmful algal blooms (HABs) of dinoflagellates pose significant threats to aquaculture, marine ecosystems, and human health. While resting cysts have been well known for their vital roles in initiating HABs of dinoflagellates, mapping results of the cyst abundance and distribution in marine sediments have been also well documented to be a highly valuable predictor, and thus can be used as a basis to assess the risk of HABs. We attempted to establish a framework for the risk assessment of dinoflagellate HABs based mainly on cyst-mapping of marine sediments and a case application of it to the risk assessment of HABs in the Yellow Sea. In the framework, firstly, the targeted marine area subjected to the assessment was determined and gridded into different assessment units according to their geography, administration, and ecological or economic function. Secondly, the dinoflagellate cyst abundance from the surface sediment, HABs records, and the monitoring results of vegetative cells for all or particular species of concern were collected experimentally or by literature search, as three main indicators scored and weighted respectively with different values. The scoring and weighting process was based on scientific reasoning and empirical consideration as detailed in the text. Thirdly, the risk of HABs occurrences for all or any particular species of concern at each site was ranked with five levels according to the calculated risk values. Finally, the final evaluation results were presented with tables, matrix diagrams, and color-coded textual annotations on nautical charts. As a case application, we performed a risk assessment for HABs of target species in the Yellow Sea, which warned high risks of HABs for Karlodinium veneficum, Gymnodinium catenatum, and others. This assessment framework provides a practical and testable tool for all involved stakeholders, and subject to improvement along with the advancement of ecology of HABs.
Q2

Fine-scale spatial genetic structure and gene dispersal in lake populations of submerged species
Cao W., Wang Q., Cao Q.
To assess the population development of submerged plant species in disturbed lake ecosystems, we need to better understand the genetic diversity and spatial genetic structure at a fine scale, as well as the impact of disturbances on the populations. Caohai Lake, in southwest China, is a suitable natural sampling lake because of its abundance of submerged plants and the intense human disturbance. Three widely distributed species, Potamogeton lucens, Ceratophyllum demersum, and Myriophyllum spicatum, were sampled; the spatial position of each individual was recorded in two-dimensional coordinates; and the species were analyzed genetically using microsatellite markers. Among the species studied, M. spicatum exhibited the highest genetic and clonal diversities. All P. lucens subpopulations but one showed a significant fine-scale spatial genetic structure (FSGS), which may result from the limited gene dispersal. However, M. spicatum and C. demersum, with a relatively large distance of gene dispersal, had no significant FSGS. The FSGS pattern of P. lucens at the dock site with intense boat disturbance was significantly different from that at other sites. Our results imply that the FSGS of submerged plants is affected by many factors including seed dispersal, vegetative reproduction and disturbance from birds and boats. Most subpopulations of the three species had σ scx 2 /σ veg 2 values greater than one, implying that the sexual dispersal contributes more than vegetative dispersal to total gene dispersal. Therefore, it is worth paying attention to the importance of seed dispersal for population development of submerged plants in lake ecosystems.
Q2

Population characteristics of the dominant cold-water brittle star Ophiura sarsii vadicola (Ophiurida, Ophiuroidea) in the Yellow Sea
Hu X., Li Y., Dong Y., Liao X., Zhang Q., Mou A., Li X., Zhang X., Xu Q.
Global warming has severe effects on cold-water habitats. The Yellow Sea Cold Water Mass (YSCWM) is a typical cold-water habitat in the western Pacific Ocean. The southern YSCWM face much more environmental pressure than the northern YSCWM. We hypothesize that the cold-water Ophiuroid species Ophiura sarsii vadicola, the dominant benthic species in the YSCWM, will be less abundant with an ageing population in the northern YSCWM. Based on a survey in 2018, we found the density of O. sarsii vadicola reached 315 inds./m2 in the northern Yellow Sea, higher than previous records. Biomass and organic mass peaked at 45.5 g/m2 and 4.89 g/m2. There was a strong linear relationship between wet weight and dry weight/ash-free dry weight (AFDW). Over 48 000 individuals were measured (diameter: 1.0–17.5 mm) and were notably smaller than related species from higher latitudes. A Gompertz growth model was established by examining ossicle growth bands. Age structures differed between the northern and southern YSCWM, and the former was dominated by younger individuals. This study enriched our understanding on the ecology of brittle star and provides valuable data and insights for future research on the benthic ecosystems of the Yellow Sea.
Q2

Macrophyte community changes related to water level fluctuation and anthropogenic pressure in a floodplain lake in lower Huanghe River Basin, China since the 19th century
Zhang Q., Chen Y., Chen S., Liu L., Liu E.
Decades of species composition changes can lead to the eutrophication-driven loss of submerged macrophytes in shallow lakes. Investigating the mechanisms of these nature- and human-driven changes is crucial for the restoration and management of such lakes. To investigate the changes in aquatic macrophyte communities over the past two centuries, we analyzed macrofossils in sediments from a 210Pb-dated core obtained in Dongping Lake in the lower Huanghe (Yellow) River Basin, eastern China. Multiple factor analysis (MFA) revealed an association between macrophyte shifts and changes in various environmental stressors (invertebrates, grain size, geochemistry, and documented records), indicating that macrophyte community changes before 1960 were predominately driven by flood disturbances. Ever since, anthropogenic pollution and the construction of water conservancy projects have caused variations in hydrology and nutrients, leading to significant changes in the composition of macrophyte communities. Macrofossil data reveal a decline in diversity and pollution-intolerant species during the late 1980s and the early 2000s, which is indicative of eutrophication. We also found that the current environment of Dongping Lake exhibits a clear degeneration in emergent plants and a proliferation of macrophyte species associated with eutrophic conditions, which could be attributed to water level fluctuation and nutrient input due to the water supply from the eastern route of the South-to-North Water Diversion Project as well as climate warming. Our results provide valuable insights for assessing ecosystem health and the restoration and management of Dongping Lake and similar lakes in the Huanghe River region and elsewhere.
Q2

Characterization and genomic analysis of Pseudoalteromonas phage vB_PalP_Y7, representing a novel viral genus, Miuvirus
Wu M., Wang H., Mi Y., Liang Y., Zheng K., Liu Y., Dong Y., Ren L., Su Y., Shao H., Sung Y.Y., Mok W.J., Wong L.L., Wang M.
Pseudoalteromonas is a group of marine bacteria widespread in diverse marine sediments, producing a wide range of bioactive compounds. However, only a limited number of Pseudoalteromonas phages have been isolated and studied. In this study, a novel lytic Pseudoalteromonas phage, denoted as vB_PalP_Y7, was isolated from sewage samples collected at the Seafood Market in Qingdao, China. vB_PalP_Y7 remained stable across a wide range of temperatures (−20–50 °C) and a wide pH range (3–12). The vB_PalP_Y7 phage harbors a linear double-stranded DNA molecule of 57 699 base pairs (bp) with a G+C content of 45.90%. Furthermore, it is predicted to contain 58 open reading frames (ORFs). Phylogenetic analysis and protein network relationship analysis revealed low similarity between vB_PalP_Y7 and viruses in the ICTV and IMG/VR4 database, suggesting that vB_PalP_Y7 may be a potential new genus, Miuvirus. This study contributed valuable insights to comprehend the relationship between Pseudoalteromonas phages and their host organisms.
Q2

Detection of floating marine macro plastics using a new index with remote sensing data
Pathira Arachchilage K.R., Tang D., Wang S.
A massive amount of plastic waste has presented an immense management challenge. This escalating ecological damage, coupled with the detrimental effects of plastics infiltrating the marine food web, poses a significant threat to human livelihoods. To combat this, there is a call for the development of plastic detection algorithms using remote sensing data. Here we tested a new index, referred to indexMP, to detect clusters of floating macro plastics in the ocean using satellite imagery. The indexMP was applied to convolution high-pass filtered (3×3) Sentinel 2 Level 1C images, showing the potential to reduce atmospheric interference and enhance the object edges, thereby improving the clarity of detection. In the analysis, we used three scatter plots to identify and assess plastic pixels. To differentiate the common features of plastic from non-plastic objects, the Sentinel 2 bands 5, 8, and 9 were plotted against indexMP calculated and convolution high-pass filtered Level 1C (CHPIC) images. The plastic pixels, clustering in the three scatter plots, showed positive ‘X’, i.e., CHPIC image value and ‘Y’, i.e., each band 5, 8, and 9 reflectance values, along with a CHPIC image value exceeding 0.05. Using the indexMP and scatter plot analysis, we identified plastic pixels containing 14% or more plastic bottles. Detection of other types of plastics, such as fishing nets and plastic bags, required pixel proportions greater than 50%. Hence, plastic bottles were notably responsive even at a low pixel fraction. We further explored the classification of plastic and non-plastic objects by analyzing reed (plant) pixels; the differentiation between plastic and reed was conducted in the band 5 and 9 scatter plots.
Q2

RNA interference with foxl2 leads to upregulation of cyp19b and delayed development of female carp Cyprinus carpio var. koi gonads
Mei X., Wang X., Zhou Q., Liu B., Wang Y., Kong L., Jiang S., Wang F.
FOXL2 and CYP19B are crucial transcription factors in vertebrates and invertebrates that play pivotal roles in sex differentiation and gonadal development. The potential roles of the foxl2 and cyp19b genes in sex determination and gonadal development in Cyprinus carpio var. koi were explored using a non-invasive RNA interference (RNAi) method, histopathological observation and qPCR. Results demonstrate that foxl2 exhibited a sexually dimorphic expression pattern in gonads, with a notable expression in ovaries; cyp19b was expressed in all peripheral tissues, with a particularly prominent expression in brain and gonads. The knockdown of foxl2 by RNAi resulted in delay in the development of the female gonads. Conversely, no notable alterations were discerned in the gonads of C. carpio var. koi following the knockdown of cyp19b. The upregulation of sox9a, amh, and cyp19b following foxl2 knockdown indicates that foxl2 may play a pivotal role in gonadal development. Nevertheless, further investigation is required to ascertain the potential role of cyp19b. This study elucidated the role of foxl2 and enhanced the understanding of the mechanisms of sex determination and gonadal development in C. carpio var. koi.
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|
Vision (Switzerland)
8 citations, 0.16%
|
|
Ophthalmologe
8 citations, 0.16%
|
|
Journal of Neuro-Ophthalmology
8 citations, 0.16%
|
|
Children
8 citations, 0.16%
|
|
Eye and Vision
8 citations, 0.16%
|
|
Ophthalmic Plastic and Reconstructive Surgery
7 citations, 0.14%
|
|
Vestnik Oftalmologii
7 citations, 0.14%
|
|
Journal of Patient-Reported Outcomes
7 citations, 0.14%
|
|
Show all (70 more) | |
20
40
60
80
100
120
140
|
Citing publishers
100
200
300
400
500
600
700
800
900
1000
|
|
Springer Nature
956 citations, 19.17%
|
|
Elsevier
798 citations, 16%
|
|
MDPI
528 citations, 10.59%
|
|
Ovid Technologies (Wolters Kluwer Health)
514 citations, 10.3%
|
|
Taylor & Francis
317 citations, 6.36%
|
|
Wiley
257 citations, 5.15%
|
|
Frontiers Media S.A.
182 citations, 3.65%
|
|
BMJ
165 citations, 3.31%
|
|
SAGE
147 citations, 2.95%
|
|
Association for Research in Vision and Ophthalmology (ARVO)
105 citations, 2.11%
|
|
Public Library of Science (PLoS)
73 citations, 1.46%
|
|
SLACK
67 citations, 1.34%
|
|
Cold Spring Harbor Laboratory
52 citations, 1.04%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
45 citations, 0.9%
|
|
Hindawi Limited
40 citations, 0.8%
|
|
39 citations, 0.78%
|
|
Medknow
38 citations, 0.76%
|
|
American Medical Association (AMA)
35 citations, 0.7%
|
|
Georg Thieme Verlag KG
32 citations, 0.64%
|
|
S. Karger AG
28 citations, 0.56%
|
|
Mary Ann Liebert
24 citations, 0.48%
|
|
Oxford University Press
20 citations, 0.4%
|
|
Optica Publishing Group
19 citations, 0.38%
|
|
IntechOpen
15 citations, 0.3%
|
|
AME Publishing Company
14 citations, 0.28%
|
|
Research Square Platform LLC
14 citations, 0.28%
|
|
PE Polunina Elizareta Gennadievna
13 citations, 0.26%
|
|
American Chemical Society (ACS)
12 citations, 0.24%
|
|
Eco-Vector LLC
12 citations, 0.24%
|
|
Bentham Science Publishers Ltd.
11 citations, 0.22%
|
|
JMIR Publications
10 citations, 0.2%
|
|
Media Sphere Publishing House
10 citations, 0.2%
|
|
Royal Society of Chemistry (RSC)
9 citations, 0.18%
|
|
Spandidos Publications
8 citations, 0.16%
|
|
Jaypee Brothers Medical Publishing
8 citations, 0.16%
|
|
Baishideng Publishing Group
8 citations, 0.16%
|
|
Real Time, Ltd.
8 citations, 0.16%
|
|
IOS Press
6 citations, 0.12%
|
|
Colegio Nacional de Opticos-Optometristas de Espana
6 citations, 0.12%
|
|
F1000 Research
6 citations, 0.12%
|
|
Scientific Scholar
6 citations, 0.12%
|
|
IOP Publishing
5 citations, 0.1%
|
|
The Endocrine Society
5 citations, 0.1%
|
|
Mark Allen Group
5 citations, 0.1%
|
|
SPIE-Intl Soc Optical Eng
5 citations, 0.1%
|
|
AOSIS
5 citations, 0.1%
|
|
Hans Publishers
5 citations, 0.1%
|
|
PeerJ
4 citations, 0.08%
|
|
Association for Computing Machinery (ACM)
4 citations, 0.08%
|
|
Radiological Society of North America (RSNA)
4 citations, 0.08%
|
|
Korean Ophthalmological Society
4 citations, 0.08%
|
|
Cambridge University Press
3 citations, 0.06%
|
|
Walter de Gruyter
3 citations, 0.06%
|
|
Emerald
3 citations, 0.06%
|
|
King Saud University
3 citations, 0.06%
|
|
Microbiology Society
3 citations, 0.06%
|
|
Annual Reviews
3 citations, 0.06%
|
|
A and V Publications
3 citations, 0.06%
|
|
Human Kinetics
3 citations, 0.06%
|
|
Touch Medical Media LTD.
3 citations, 0.06%
|
|
American Society for Microbiology
2 citations, 0.04%
|
|
American Physiological Society
2 citations, 0.04%
|
|
AIP Publishing
2 citations, 0.04%
|
|
American Diabetes Association
2 citations, 0.04%
|
|
Iranian Society of Ophthalmology
2 citations, 0.04%
|
|
Savezno Ministarstvo Odbrane
2 citations, 0.04%
|
|
Association of Military Surgeons of the US
2 citations, 0.04%
|
|
Oriental Scientific Publishing Company
2 citations, 0.04%
|
|
SciELO
2 citations, 0.04%
|
|
Scientific Research Publishing
2 citations, 0.04%
|
|
XMLink
2 citations, 0.04%
|
|
Rockefeller University Press
1 citation, 0.02%
|
|
Pleiades Publishing
1 citation, 0.02%
|
|
Institution of Engineering and Technology (IET)
1 citation, 0.02%
|
|
Proceedings of the National Academy of Sciences (PNAS)
1 citation, 0.02%
|
|
American Association for the Advancement of Science (AAAS)
1 citation, 0.02%
|
|
American Society for Clinical Investigation
1 citation, 0.02%
|
|
Portland Press
1 citation, 0.02%
|
|
American Speech Language Hearing Association
1 citation, 0.02%
|
|
Associacao Paulista de Medicina
1 citation, 0.02%
|
|
1 citation, 0.02%
|
|
Journal of Neurosurgery Publishing Group (JNSPG)
1 citation, 0.02%
|
|
The Korean Society of Genetics
1 citation, 0.02%
|
|
Tsinghua University Press
1 citation, 0.02%
|
|
American Society for Biochemistry and Molecular Biology
1 citation, 0.02%
|
|
American Association for Cancer Research (AACR)
1 citation, 0.02%
|
|
Shiraz University of Medical Sciences
1 citation, 0.02%
|
|
Massachusetts Medical Society
1 citation, 0.02%
|
|
Veterinary World
1 citation, 0.02%
|
|
SPb RAACI
1 citation, 0.02%
|
|
American Society of Neuoradiology
1 citation, 0.02%
|
|
Baskent University
1 citation, 0.02%
|
|
British Institute of Radiology
1 citation, 0.02%
|
|
Optical Society of India
1 citation, 0.02%
|
|
Pirogov Russian National Research Medical University
1 citation, 0.02%
|
|
Baycinar Medical Publishing
1 citation, 0.02%
|
|
National Coordinating Centre for Health Technology Assessment
1 citation, 0.02%
|
|
Moffitt Cancer Center
1 citation, 0.02%
|
|
1 citation, 0.02%
|
|
Akademiai Kiado
1 citation, 0.02%
|
|
Show all (70 more) | |
100
200
300
400
500
600
700
800
900
1000
|
Publishing organizations
5
10
15
20
25
|
|
University of Liverpool
24 publications, 3.79%
|
|
London School of Hygiene & Tropical Medicine
18 publications, 2.84%
|
|
University College London
17 publications, 2.68%
|
|
Royal Liverpool University Hospital
15 publications, 2.37%
|
|
University of Sydney
14 publications, 2.21%
|
|
Harvard University
14 publications, 2.21%
|
|
Queen's University Belfast
13 publications, 2.05%
|
|
L. V. Prasad Eye Institute
10 publications, 1.58%
|
|
Oslo University Hospital
8 publications, 1.26%
|
|
University of Melbourne
8 publications, 1.26%
|
|
Stanford University
8 publications, 1.26%
|
|
University of Gothenburg
7 publications, 1.1%
|
|
University of Birmingham
7 publications, 1.1%
|
|
Royal Victorian Eye and Ear Hospital
7 publications, 1.1%
|
|
University of Johannesburg
7 publications, 1.1%
|
|
Aston University
6 publications, 0.95%
|
|
University of Oslo
6 publications, 0.95%
|
|
City, University of London
6 publications, 0.95%
|
|
University Hospitals Birmingham NHS Foundation Trust
6 publications, 0.95%
|
|
Johns Hopkins University
6 publications, 0.95%
|
|
University of Auckland
6 publications, 0.95%
|
|
Icahn School of Medicine at Mount Sinai
6 publications, 0.95%
|
|
University of Miami
6 publications, 0.95%
|
|
Sun Yat-sen University
5 publications, 0.79%
|
|
King's College London
5 publications, 0.79%
|
|
University of Southern California
5 publications, 0.79%
|
|
University of Western Australia
5 publications, 0.79%
|
|
Centre for Eye Research Australia
5 publications, 0.79%
|
|
University of California, San Francisco
5 publications, 0.79%
|
|
University of Chicago
5 publications, 0.79%
|
|
Keio University
5 publications, 0.79%
|
|
Charité - Universitätsmedizin Berlin
5 publications, 0.79%
|
|
Kyoto Prefectural University of Medicine
5 publications, 0.79%
|
|
Anglia Ruskin University
5 publications, 0.79%
|
|
University of Toronto
5 publications, 0.79%
|
|
University of Gondar
5 publications, 0.79%
|
|
Ghent University
4 publications, 0.63%
|
|
Örebro University
4 publications, 0.63%
|
|
Copenhagen University Hospital
4 publications, 0.63%
|
|
University of Copenhagen
4 publications, 0.63%
|
|
University of Southampton
4 publications, 0.63%
|
|
Hong Kong Polytechnic University
4 publications, 0.63%
|
|
University of Illinois at Chicago
4 publications, 0.63%
|
|
Boston Children's Hospital
4 publications, 0.63%
|
|
University of California, Irvine
4 publications, 0.63%
|
|
Osaka University
4 publications, 0.63%
|
|
Trinity College Dublin
4 publications, 0.63%
|
|
Ludwig Maximilian University of Munich
4 publications, 0.63%
|
|
Baylor College of Medicine
4 publications, 0.63%
|
|
Innsbruck Medical University
4 publications, 0.63%
|
|
University of Tokyo Hospital
4 publications, 0.63%
|
|
Yokohama City University
4 publications, 0.63%
|
|
Saitama Medical University
4 publications, 0.63%
|
|
University of Miami Health
4 publications, 0.63%
|
|
Hawassa University
4 publications, 0.63%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
3 publications, 0.47%
|
|
Vietnam Academy of Science and Technology
3 publications, 0.47%
|
|
Tel Aviv University
3 publications, 0.47%
|
|
Uppsala University
3 publications, 0.47%
|
|
Lund University
3 publications, 0.47%
|
|
Karolinska Institute
3 publications, 0.47%
|
|
Sahlgrenska University Hospital
3 publications, 0.47%
|
|
Capital Medical University
3 publications, 0.47%
|
|
University of Cambridge
3 publications, 0.47%
|
|
University of Padua
3 publications, 0.47%
|
|
University of Edinburgh
3 publications, 0.47%
|
|
Manchester University NHS Foundation Trust
3 publications, 0.47%
|
|
University of Nottingham
3 publications, 0.47%
|
|
National University of Singapore
3 publications, 0.47%
|
|
Cornell University
3 publications, 0.47%
|
|
University of Tsukuba
3 publications, 0.47%
|
|
University of Brescia
3 publications, 0.47%
|
|
Pennsylvania State University
3 publications, 0.47%
|
|
University of Tasmania
3 publications, 0.47%
|
|
Royal Children's Hospital Melbourne
3 publications, 0.47%
|
|
Hasanuddin University
3 publications, 0.47%
|
|
Khon Kaen University
3 publications, 0.47%
|
|
Northwestern University
3 publications, 0.47%
|
|
Duke University
3 publications, 0.47%
|
|
University of California, Davis
3 publications, 0.47%
|
|
Wenzhou Medical University
3 publications, 0.47%
|
|
Philippine General Hospital
3 publications, 0.47%
|
|
University of Bristol
3 publications, 0.47%
|
|
University of Michigan
3 publications, 0.47%
|
|
McGill University
3 publications, 0.47%
|
|
McMaster University
3 publications, 0.47%
|
|
Queen's University at Kingston
3 publications, 0.47%
|
|
University of Leeds
3 publications, 0.47%
|
|
National Center for Geriatrics and Gerontology
3 publications, 0.47%
|
|
Kagoshima University
3 publications, 0.47%
|
|
University of Calgary
3 publications, 0.47%
|
|
University of Ottawa
3 publications, 0.47%
|
|
Cleveland Clinic
3 publications, 0.47%
|
|
University of Utah
3 publications, 0.47%
|
|
National Health Service Lothian
3 publications, 0.47%
|
|
King Khaled Eye Specialist Hospital
2 publications, 0.32%
|
|
Aga Khan University Hospital
2 publications, 0.32%
|
|
University of Tübingen
2 publications, 0.32%
|
|
Peking University
2 publications, 0.32%
|
|
Shanghai Jiao Tong University
2 publications, 0.32%
|
|
Show all (70 more) | |
5
10
15
20
25
|
Publishing organizations in 5 years
2
4
6
8
10
12
14
16
18
20
|
|
University of Liverpool
19 publications, 3.87%
|
|
University College London
15 publications, 3.05%
|
|
London School of Hygiene & Tropical Medicine
12 publications, 2.44%
|
|
Harvard University
11 publications, 2.24%
|
|
Royal Liverpool University Hospital
10 publications, 2.04%
|
|
University of Sydney
9 publications, 1.83%
|
|
Queen's University Belfast
9 publications, 1.83%
|
|
Stanford University
8 publications, 1.63%
|
|
L. V. Prasad Eye Institute
7 publications, 1.43%
|
|
University of Melbourne
7 publications, 1.43%
|
|
University of Johannesburg
7 publications, 1.43%
|
|
Oslo University Hospital
6 publications, 1.22%
|
|
University of Birmingham
6 publications, 1.22%
|
|
Royal Victorian Eye and Ear Hospital
6 publications, 1.22%
|
|
University of Miami
6 publications, 1.22%
|
|
University of Gothenburg
5 publications, 1.02%
|
|
University of Oslo
5 publications, 1.02%
|
|
King's College London
5 publications, 1.02%
|
|
University of Southern California
5 publications, 1.02%
|
|
University Hospitals Birmingham NHS Foundation Trust
5 publications, 1.02%
|
|
Centre for Eye Research Australia
5 publications, 1.02%
|
|
Örebro University
4 publications, 0.81%
|
|
University of Southampton
4 publications, 0.81%
|
|
University of Auckland
4 publications, 0.81%
|
|
University of Western Australia
4 publications, 0.81%
|
|
University of Illinois at Chicago
4 publications, 0.81%
|
|
Boston Children's Hospital
4 publications, 0.81%
|
|
University of California, Irvine
4 publications, 0.81%
|
|
Osaka University
4 publications, 0.81%
|
|
Trinity College Dublin
4 publications, 0.81%
|
|
Baylor College of Medicine
4 publications, 0.81%
|
|
Icahn School of Medicine at Mount Sinai
4 publications, 0.81%
|
|
Innsbruck Medical University
4 publications, 0.81%
|
|
University of Tokyo Hospital
4 publications, 0.81%
|
|
University of Toronto
4 publications, 0.81%
|
|
University of Miami Health
4 publications, 0.81%
|
|
University of Gondar
4 publications, 0.81%
|
|
Hawassa University
4 publications, 0.81%
|
|
Vietnam Academy of Science and Technology
3 publications, 0.61%
|
|
Tel Aviv University
3 publications, 0.61%
|
|
Ghent University
3 publications, 0.61%
|
|
Uppsala University
3 publications, 0.61%
|
|
Lund University
3 publications, 0.61%
|
|
Karolinska Institute
3 publications, 0.61%
|
|
Sahlgrenska University Hospital
3 publications, 0.61%
|
|
Sun Yat-sen University
3 publications, 0.61%
|
|
University of Cambridge
3 publications, 0.61%
|
|
University of Copenhagen
3 publications, 0.61%
|
|
University of Padua
3 publications, 0.61%
|
|
Johns Hopkins University
3 publications, 0.61%
|
|
University of Tsukuba
3 publications, 0.61%
|
|
Pennsylvania State University
3 publications, 0.61%
|
|
University of Tasmania
3 publications, 0.61%
|
|
Hasanuddin University
3 publications, 0.61%
|
|
Khon Kaen University
3 publications, 0.61%
|
|
Northwestern University
3 publications, 0.61%
|
|
University of California, San Francisco
3 publications, 0.61%
|
|
Wenzhou Medical University
3 publications, 0.61%
|
|
Keio University
3 publications, 0.61%
|
|
Philippine General Hospital
3 publications, 0.61%
|
|
University of Michigan
3 publications, 0.61%
|
|
McGill University
3 publications, 0.61%
|
|
McMaster University
3 publications, 0.61%
|
|
Yokohama City University
3 publications, 0.61%
|
|
Kagoshima University
3 publications, 0.61%
|
|
Anglia Ruskin University
3 publications, 0.61%
|
|
University of Ottawa
3 publications, 0.61%
|
|
King Khaled Eye Specialist Hospital
2 publications, 0.41%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
2 publications, 0.41%
|
|
Aga Khan University Hospital
2 publications, 0.41%
|
|
University of Tübingen
2 publications, 0.41%
|
|
Peking University
2 publications, 0.41%
|
|
Shanghai Jiao Tong University
2 publications, 0.41%
|
|
Hadassah Medical Center
2 publications, 0.41%
|
|
Ben-Gurion University of the Negev
2 publications, 0.41%
|
|
University of Genoa
2 publications, 0.41%
|
|
Skåne University Hospital
2 publications, 0.41%
|
|
University of Zurich
2 publications, 0.41%
|
|
Capital Medical University
2 publications, 0.41%
|
|
Jinan University
2 publications, 0.41%
|
|
Aston University
2 publications, 0.41%
|
|
Cambridge University Hospitals NHS Foundation Trust
2 publications, 0.41%
|
|
Shanxi Medical University
2 publications, 0.41%
|
|
Liverpool John Moores University
2 publications, 0.41%
|
|
Copenhagen University Hospital
2 publications, 0.41%
|
|
Aarhus University Hospital
2 publications, 0.41%
|
|
University of Southern Denmark
2 publications, 0.41%
|
|
Kanazawa University
2 publications, 0.41%
|
|
Odense University Hospital
2 publications, 0.41%
|
|
Steno Diabetes Center
2 publications, 0.41%
|
|
University of Edinburgh
2 publications, 0.41%
|
|
University of Nottingham
2 publications, 0.41%
|
|
Massachusetts Institute of Technology
2 publications, 0.41%
|
|
Cornell University
2 publications, 0.41%
|
|
Yale University
2 publications, 0.41%
|
|
University of South-Eastern Norway
2 publications, 0.41%
|
|
University of Brescia
2 publications, 0.41%
|
|
University of Ferrara
2 publications, 0.41%
|
|
Hospital San Martino
2 publications, 0.41%
|
|
Institute of Biomolecular Chemistry
2 publications, 0.41%
|
|
Show all (70 more) | |
2
4
6
8
10
12
14
16
18
20
|
Publishing countries
20
40
60
80
100
120
140
|
|
USA
|
USA, 139, 21.92%
USA
139 publications, 21.92%
|
United Kingdom
|
United Kingdom, 125, 19.72%
United Kingdom
125 publications, 19.72%
|
Japan
|
Japan, 43, 6.78%
Japan
43 publications, 6.78%
|
China
|
China, 36, 5.68%
China
36 publications, 5.68%
|
Australia
|
Australia, 34, 5.36%
Australia
34 publications, 5.36%
|
Italy
|
Italy, 34, 5.36%
Italy
34 publications, 5.36%
|
Canada
|
Canada, 34, 5.36%
Canada
34 publications, 5.36%
|
Germany
|
Germany, 26, 4.1%
Germany
26 publications, 4.1%
|
India
|
India, 18, 2.84%
India
18 publications, 2.84%
|
Sweden
|
Sweden, 12, 1.89%
Sweden
12 publications, 1.89%
|
Denmark
|
Denmark, 11, 1.74%
Denmark
11 publications, 1.74%
|
South Africa
|
South Africa, 11, 1.74%
South Africa
11 publications, 1.74%
|
Brazil
|
Brazil, 10, 1.58%
Brazil
10 publications, 1.58%
|
Norway
|
Norway, 10, 1.58%
Norway
10 publications, 1.58%
|
France
|
France, 8, 1.26%
France
8 publications, 1.26%
|
Israel
|
Israel, 8, 1.26%
Israel
8 publications, 1.26%
|
Spain
|
Spain, 8, 1.26%
Spain
8 publications, 1.26%
|
Thailand
|
Thailand, 8, 1.26%
Thailand
8 publications, 1.26%
|
Singapore
|
Singapore, 7, 1.1%
Singapore
7 publications, 1.1%
|
Belgium
|
Belgium, 6, 0.95%
Belgium
6 publications, 0.95%
|
Indonesia
|
Indonesia, 6, 0.95%
Indonesia
6 publications, 0.95%
|
New Zealand
|
New Zealand, 6, 0.95%
New Zealand
6 publications, 0.95%
|
Republic of Korea
|
Republic of Korea, 6, 0.95%
Republic of Korea
6 publications, 0.95%
|
Switzerland
|
Switzerland, 6, 0.95%
Switzerland
6 publications, 0.95%
|
Austria
|
Austria, 5, 0.79%
Austria
5 publications, 0.79%
|
Iran
|
Iran, 5, 0.79%
Iran
5 publications, 0.79%
|
Ireland
|
Ireland, 5, 0.79%
Ireland
5 publications, 0.79%
|
Nigeria
|
Nigeria, 5, 0.79%
Nigeria
5 publications, 0.79%
|
Pakistan
|
Pakistan, 5, 0.79%
Pakistan
5 publications, 0.79%
|
Russia
|
Russia, 4, 0.63%
Russia
4 publications, 0.63%
|
Vietnam
|
Vietnam, 4, 0.63%
Vietnam
4 publications, 0.63%
|
Greece
|
Greece, 4, 0.63%
Greece
4 publications, 0.63%
|
Egypt
|
Egypt, 4, 0.63%
Egypt
4 publications, 0.63%
|
Saudi Arabia
|
Saudi Arabia, 4, 0.63%
Saudi Arabia
4 publications, 0.63%
|
Tanzania
|
Tanzania, 4, 0.63%
Tanzania
4 publications, 0.63%
|
Argentina
|
Argentina, 3, 0.47%
Argentina
3 publications, 0.47%
|
Hungary
|
Hungary, 3, 0.47%
Hungary
3 publications, 0.47%
|
Malaysia
|
Malaysia, 3, 0.47%
Malaysia
3 publications, 0.47%
|
UAE
|
UAE, 3, 0.47%
UAE
3 publications, 0.47%
|
Panama
|
Panama, 3, 0.47%
Panama
3 publications, 0.47%
|
Philippines
|
Philippines, 3, 0.47%
Philippines
3 publications, 0.47%
|
Finland
|
Finland, 3, 0.47%
Finland
3 publications, 0.47%
|
Ghana
|
Ghana, 2, 0.32%
Ghana
2 publications, 0.32%
|
Cyprus
|
Cyprus, 2, 0.32%
Cyprus
2 publications, 0.32%
|
Malawi
|
Malawi, 2, 0.32%
Malawi
2 publications, 0.32%
|
Netherlands
|
Netherlands, 2, 0.32%
Netherlands
2 publications, 0.32%
|
Turkey
|
Turkey, 2, 0.32%
Turkey
2 publications, 0.32%
|
Uganda
|
Uganda, 2, 0.32%
Uganda
2 publications, 0.32%
|
Czech Republic
|
Czech Republic, 2, 0.32%
Czech Republic
2 publications, 0.32%
|
Portugal
|
Portugal, 1, 0.16%
Portugal
1 publication, 0.16%
|
Armenia
|
Armenia, 1, 0.16%
Armenia
1 publication, 0.16%
|
Bangladesh
|
Bangladesh, 1, 0.16%
Bangladesh
1 publication, 0.16%
|
Bulgaria
|
Bulgaria, 1, 0.16%
Bulgaria
1 publication, 0.16%
|
Iraq
|
Iraq, 1, 0.16%
Iraq
1 publication, 0.16%
|
Kenya
|
Kenya, 1, 0.16%
Kenya
1 publication, 0.16%
|
Democratic Republic of the Congo
|
Democratic Republic of the Congo, 1, 0.16%
Democratic Republic of the Congo
1 publication, 0.16%
|
Latvia
|
Latvia, 1, 0.16%
Latvia
1 publication, 0.16%
|
Poland
|
Poland, 1, 0.16%
Poland
1 publication, 0.16%
|
Syria
|
Syria, 1, 0.16%
Syria
1 publication, 0.16%
|
Croatia
|
Croatia, 1, 0.16%
Croatia
1 publication, 0.16%
|
Ethiopia
|
Ethiopia, 1, 0.16%
Ethiopia
1 publication, 0.16%
|
Show all (31 more) | |
20
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100
120
140
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Publishing countries in 5 years
20
40
60
80
100
120
|
|
USA
|
USA, 105, 21.38%
USA
105 publications, 21.38%
|
United Kingdom
|
United Kingdom, 86, 17.52%
United Kingdom
86 publications, 17.52%
|
Japan
|
Japan, 29, 5.91%
Japan
29 publications, 5.91%
|
Canada
|
Canada, 28, 5.7%
Canada
28 publications, 5.7%
|
Italy
|
Italy, 26, 5.3%
Italy
26 publications, 5.3%
|
Australia
|
Australia, 25, 5.09%
Australia
25 publications, 5.09%
|
China
|
China, 24, 4.89%
China
24 publications, 4.89%
|
Germany
|
Germany, 14, 2.85%
Germany
14 publications, 2.85%
|
India
|
India, 12, 2.44%
India
12 publications, 2.44%
|
Sweden
|
Sweden, 10, 2.04%
Sweden
10 publications, 2.04%
|
South Africa
|
South Africa, 10, 2.04%
South Africa
10 publications, 2.04%
|
Brazil
|
Brazil, 9, 1.83%
Brazil
9 publications, 1.83%
|
Denmark
|
Denmark, 8, 1.63%
Denmark
8 publications, 1.63%
|
Norway
|
Norway, 8, 1.63%
Norway
8 publications, 1.63%
|
Israel
|
Israel, 7, 1.43%
Israel
7 publications, 1.43%
|
Thailand
|
Thailand, 7, 1.43%
Thailand
7 publications, 1.43%
|
France
|
France, 6, 1.22%
France
6 publications, 1.22%
|
Indonesia
|
Indonesia, 6, 1.22%
Indonesia
6 publications, 1.22%
|
Spain
|
Spain, 6, 1.22%
Spain
6 publications, 1.22%
|
Austria
|
Austria, 5, 1.02%
Austria
5 publications, 1.02%
|
Belgium
|
Belgium, 5, 1.02%
Belgium
5 publications, 1.02%
|
Ireland
|
Ireland, 5, 1.02%
Ireland
5 publications, 1.02%
|
Pakistan
|
Pakistan, 5, 1.02%
Pakistan
5 publications, 1.02%
|
Singapore
|
Singapore, 5, 1.02%
Singapore
5 publications, 1.02%
|
Switzerland
|
Switzerland, 5, 1.02%
Switzerland
5 publications, 1.02%
|
Russia
|
Russia, 4, 0.81%
Russia
4 publications, 0.81%
|
Vietnam
|
Vietnam, 4, 0.81%
Vietnam
4 publications, 0.81%
|
Greece
|
Greece, 4, 0.81%
Greece
4 publications, 0.81%
|
Egypt
|
Egypt, 4, 0.81%
Egypt
4 publications, 0.81%
|
Iran
|
Iran, 4, 0.81%
Iran
4 publications, 0.81%
|
Nigeria
|
Nigeria, 4, 0.81%
Nigeria
4 publications, 0.81%
|
New Zealand
|
New Zealand, 4, 0.81%
New Zealand
4 publications, 0.81%
|
Republic of Korea
|
Republic of Korea, 4, 0.81%
Republic of Korea
4 publications, 0.81%
|
Saudi Arabia
|
Saudi Arabia, 4, 0.81%
Saudi Arabia
4 publications, 0.81%
|
Tanzania
|
Tanzania, 4, 0.81%
Tanzania
4 publications, 0.81%
|
Argentina
|
Argentina, 3, 0.61%
Argentina
3 publications, 0.61%
|
Philippines
|
Philippines, 3, 0.61%
Philippines
3 publications, 0.61%
|
Hungary
|
Hungary, 2, 0.41%
Hungary
2 publications, 0.41%
|
Ghana
|
Ghana, 2, 0.41%
Ghana
2 publications, 0.41%
|
Malawi
|
Malawi, 2, 0.41%
Malawi
2 publications, 0.41%
|
Malaysia
|
Malaysia, 2, 0.41%
Malaysia
2 publications, 0.41%
|
UAE
|
UAE, 2, 0.41%
UAE
2 publications, 0.41%
|
Turkey
|
Turkey, 2, 0.41%
Turkey
2 publications, 0.41%
|
Finland
|
Finland, 2, 0.41%
Finland
2 publications, 0.41%
|
Portugal
|
Portugal, 1, 0.2%
Portugal
1 publication, 0.2%
|
Armenia
|
Armenia, 1, 0.2%
Armenia
1 publication, 0.2%
|
Bangladesh
|
Bangladesh, 1, 0.2%
Bangladesh
1 publication, 0.2%
|
Bulgaria
|
Bulgaria, 1, 0.2%
Bulgaria
1 publication, 0.2%
|
Democratic Republic of the Congo
|
Democratic Republic of the Congo, 1, 0.2%
Democratic Republic of the Congo
1 publication, 0.2%
|
Netherlands
|
Netherlands, 1, 0.2%
Netherlands
1 publication, 0.2%
|
Panama
|
Panama, 1, 0.2%
Panama
1 publication, 0.2%
|
Poland
|
Poland, 1, 0.2%
Poland
1 publication, 0.2%
|
Syria
|
Syria, 1, 0.2%
Syria
1 publication, 0.2%
|
Uganda
|
Uganda, 1, 0.2%
Uganda
1 publication, 0.2%
|
Croatia
|
Croatia, 1, 0.2%
Croatia
1 publication, 0.2%
|
Czech Republic
|
Czech Republic, 1, 0.2%
Czech Republic
1 publication, 0.2%
|
Ethiopia
|
Ethiopia, 1, 0.2%
Ethiopia
1 publication, 0.2%
|
Show all (27 more) | |
20
40
60
80
100
120
|
1 profile journal article
Quhill Hibba
21 publications,
694 citations
h-index: 6
1 profile journal article
Khatibi Toktam
41 publications,
435 citations
h-index: 12