Journal of Ocular Pharmacology and Therapeutics
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SCImago
Q2
WOS
Q3
Impact factor
1.9
SJR
0.599
CiteScore
4.6
Categories
Ophthalmology
Pharmacology
Pharmacology (medical)
Areas
Medicine
Pharmacology, Toxicology and Pharmaceutics
Years of issue
1987, 1991-1993, 1995-2025
journal names
Journal of Ocular Pharmacology and Therapeutics
J OCUL PHARMACOL TH
Top-3 citing journals

Journal of Ocular Pharmacology and Therapeutics
(2489 citations)

Experimental Eye Research
(1162 citations)

Current Eye Research
(705 citations)
Top-3 organizations

University of California, Davis
(110 publications)

Texas A&M University
(60 publications)

Kaohsiung Medical University
(38 publications)

University of California, Davis
(52 publications)

Duke University
(9 publications)

Rutgers, The State University of New Jersey
(7 publications)
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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72 citations, 0.16%
|
|
Current Ophthalmology Reports
70 citations, 0.16%
|
|
Korean Journal of Ophthalmology
70 citations, 0.16%
|
|
International Journal of Biological Macromolecules
68 citations, 0.15%
|
|
Current Opinion in Allergy and Clinical Immunology
67 citations, 0.15%
|
|
Carbohydrate Polymers
65 citations, 0.15%
|
|
Expert Opinion on Drug Safety
65 citations, 0.15%
|
|
Acta Biomaterialia
64 citations, 0.15%
|
|
Life Sciences
63 citations, 0.14%
|
|
Biological and Pharmaceutical Bulletin
62 citations, 0.14%
|
|
Cureus
62 citations, 0.14%
|
|
Show all (70 more) | |
500
1000
1500
2000
2500
|
Citing publishers
2000
4000
6000
8000
10000
12000
|
|
Elsevier
11313 citations, 25.67%
|
|
Springer Nature
5686 citations, 12.9%
|
|
Taylor & Francis
3623 citations, 8.22%
|
|
Wiley
3218 citations, 7.3%
|
|
Ovid Technologies (Wolters Kluwer Health)
2756 citations, 6.25%
|
|
Mary Ann Liebert
2632 citations, 5.97%
|
|
MDPI
2583 citations, 5.86%
|
|
Frontiers Media S.A.
740 citations, 1.68%
|
|
SAGE
738 citations, 1.67%
|
|
Hindawi Limited
599 citations, 1.36%
|
|
American Chemical Society (ACS)
535 citations, 1.21%
|
|
Association for Research in Vision and Ophthalmology (ARVO)
459 citations, 1.04%
|
|
Public Library of Science (PLoS)
433 citations, 0.98%
|
|
BMJ
428 citations, 0.97%
|
|
S. Karger AG
327 citations, 0.74%
|
|
Bentham Science Publishers Ltd.
246 citations, 0.56%
|
|
SLACK
220 citations, 0.5%
|
|
Georg Thieme Verlag KG
207 citations, 0.47%
|
|
Royal Society of Chemistry (RSC)
186 citations, 0.42%
|
|
168 citations, 0.38%
|
|
Oxford University Press
157 citations, 0.36%
|
|
American Society for Pharmacology and Experimental Therapeutics
155 citations, 0.35%
|
|
American Medical Association (AMA)
145 citations, 0.33%
|
|
Spandidos Publications
136 citations, 0.31%
|
|
Cold Spring Harbor Laboratory
104 citations, 0.24%
|
|
American Veterinary Medical Association
95 citations, 0.22%
|
|
95 citations, 0.22%
|
|
Media Sphere Publishing House
93 citations, 0.21%
|
|
Pharmaceutical Society of Japan
90 citations, 0.2%
|
|
American Society for Microbiology
89 citations, 0.2%
|
|
American Physiological Society
89 citations, 0.2%
|
|
Baishideng Publishing Group
83 citations, 0.19%
|
|
Jaypee Brothers Medical Publishing
79 citations, 0.18%
|
|
American Society for Biochemistry and Molecular Biology
72 citations, 0.16%
|
|
IntechOpen
71 citations, 0.16%
|
|
Korean Ophthalmological Society
69 citations, 0.16%
|
|
King Saud University
61 citations, 0.14%
|
|
PE Polunina Elizareta Gennadievna
55 citations, 0.12%
|
|
Medknow
54 citations, 0.12%
|
|
AME Publishing Company
47 citations, 0.11%
|
|
Real Time, Ltd.
47 citations, 0.11%
|
|
Walter de Gruyter
44 citations, 0.1%
|
|
IOP Publishing
43 citations, 0.1%
|
|
41 citations, 0.09%
|
|
40 citations, 0.09%
|
|
Cambridge University Press
36 citations, 0.08%
|
|
Hans Publishers
36 citations, 0.08%
|
|
Eco-Vector LLC
35 citations, 0.08%
|
|
Pleiades Publishing
34 citations, 0.08%
|
|
Federation of American Societies for Experimental Biology (FASEB)
33 citations, 0.07%
|
|
Iranian Society of Ophthalmology
32 citations, 0.07%
|
|
American Association for the Advancement of Science (AAAS)
30 citations, 0.07%
|
|
American College of Allergy, Asthma, & Immunology
27 citations, 0.06%
|
|
F1000 Research
26 citations, 0.06%
|
|
Proceedings of the National Academy of Sciences (PNAS)
23 citations, 0.05%
|
|
Research Square Platform LLC
23 citations, 0.05%
|
|
American Association for Cancer Research (AACR)
21 citations, 0.05%
|
|
SciELO
21 citations, 0.05%
|
|
World Scientific
20 citations, 0.05%
|
|
Colegio Nacional de Opticos-Optometristas de Espana
19 citations, 0.04%
|
|
Annual Reviews
19 citations, 0.04%
|
|
Begell House
18 citations, 0.04%
|
|
American Diabetes Association
18 citations, 0.04%
|
|
Shenyang Pharmaceutical University
18 citations, 0.04%
|
|
Impact Journals
17 citations, 0.04%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
17 citations, 0.04%
|
|
Mark Allen Group
17 citations, 0.04%
|
|
Science Alert
17 citations, 0.04%
|
|
Scientific Research Publishing
17 citations, 0.04%
|
|
AIP Publishing
16 citations, 0.04%
|
|
Optica Publishing Group
15 citations, 0.03%
|
|
Portland Press
15 citations, 0.03%
|
|
Touch Medical Media LTD.
15 citations, 0.03%
|
|
IOS Press
14 citations, 0.03%
|
|
Microbiology Society
14 citations, 0.03%
|
|
eLife Sciences Publications
14 citations, 0.03%
|
|
Pharmaceutical Society of Korea
14 citations, 0.03%
|
|
XMLink
14 citations, 0.03%
|
|
IGI Global
13 citations, 0.03%
|
|
The Royal Society
12 citations, 0.03%
|
|
American Society for Clinical Investigation
12 citations, 0.03%
|
|
The Company of Biologists
12 citations, 0.03%
|
|
Maad Rayan Publishing Company
12 citations, 0.03%
|
|
The Korean Retina Society
12 citations, 0.03%
|
|
Institution of Engineering and Technology (IET)
11 citations, 0.02%
|
|
11 citations, 0.02%
|
|
Canadian Science Publishing
11 citations, 0.02%
|
|
Informa Healthcare
11 citations, 0.02%
|
|
The Endocrine Society
10 citations, 0.02%
|
|
A and V Publications
10 citations, 0.02%
|
|
Japanese Society of Toxicology
10 citations, 0.02%
|
|
Research Institute of Eye Diseases
10 citations, 0.02%
|
|
American Society of Clinical Oncology (ASCO)
9 citations, 0.02%
|
|
American Academy of Pediatrics
9 citations, 0.02%
|
|
Society for Neuroscience
9 citations, 0.02%
|
|
9 citations, 0.02%
|
|
American Society for Nutrition
9 citations, 0.02%
|
|
American Society of Health-System Pharmacists
9 citations, 0.02%
|
|
OMICS Publishing Group
9 citations, 0.02%
|
|
SPIE-Intl Soc Optical Eng
9 citations, 0.02%
|
|
Show all (70 more) | |
2000
4000
6000
8000
10000
12000
|
Publishing organizations
20
40
60
80
100
120
|
|
University of California, Davis
110 publications, 3.8%
|
|
Texas A&M University
60 publications, 2.08%
|
|
Kaohsiung Medical University
38 publications, 1.31%
|
|
University of Wisconsin–Madison
31 publications, 1.07%
|
|
University of Nebraska Medical Center
31 publications, 1.07%
|
|
National Taiwan University Hospital
30 publications, 1.04%
|
|
National Yang Ming Chiao Tung University
30 publications, 1.04%
|
|
Duke University
30 publications, 1.04%
|
|
Sun Yat-sen University
29 publications, 1%
|
|
Harvard University
29 publications, 1%
|
|
University of Florida
29 publications, 1%
|
|
National Eye Institute
28 publications, 0.97%
|
|
University of Southern California
26 publications, 0.9%
|
|
University of California, San Diego
26 publications, 0.9%
|
|
Wayne State University
26 publications, 0.9%
|
|
University of California, Los Angeles
25 publications, 0.86%
|
|
National Defense Medical Center
23 publications, 0.8%
|
|
Johns Hopkins University
22 publications, 0.76%
|
|
University of Missouri–Kansas City
22 publications, 0.76%
|
|
University of Tokyo
21 publications, 0.73%
|
|
University of Pisa
20 publications, 0.69%
|
|
University of California, Irvine
20 publications, 0.69%
|
|
University of Louisville
19 publications, 0.66%
|
|
University of North Texas Health Science Center
19 publications, 0.66%
|
|
Yale University
18 publications, 0.62%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
17 publications, 0.59%
|
|
Chang Gung University
17 publications, 0.59%
|
|
University of Catania
17 publications, 0.59%
|
|
Catholic University of Korea
17 publications, 0.59%
|
|
Baylor College of Medicine
17 publications, 0.59%
|
|
University of Colorado Anschutz Medical Campus
17 publications, 0.59%
|
|
University of California, San Francisco
16 publications, 0.55%
|
|
Mayo Clinic
16 publications, 0.55%
|
|
Shanghai Jiao Tong University
15 publications, 0.52%
|
|
University of Genoa
15 publications, 0.52%
|
|
Heidelberg University
15 publications, 0.52%
|
|
Case Western Reserve University
15 publications, 0.52%
|
|
University of Utah
15 publications, 0.52%
|
|
Creighton University
15 publications, 0.52%
|
|
University of Toronto
14 publications, 0.48%
|
|
University of Miami
14 publications, 0.48%
|
|
Louisiana State University
14 publications, 0.48%
|
|
University of Alabama at Birmingham
14 publications, 0.48%
|
|
New York Medical College
14 publications, 0.48%
|
|
Tel Aviv University
13 publications, 0.45%
|
|
Yonsei University
13 publications, 0.45%
|
|
University of Illinois at Chicago
13 publications, 0.45%
|
|
Ohio State University
13 publications, 0.45%
|
|
University of Arizona
13 publications, 0.45%
|
|
Wenzhou Medical University
13 publications, 0.45%
|
|
Ehime University
13 publications, 0.45%
|
|
Indiana University Bloomington
13 publications, 0.45%
|
|
All India Institute of Medical Sciences, Delhi
12 publications, 0.42%
|
|
Konyang University
12 publications, 0.42%
|
|
University of Michigan
12 publications, 0.42%
|
|
Texas Southern University
12 publications, 0.42%
|
|
Peking University
11 publications, 0.38%
|
|
Sapienza University of Rome
11 publications, 0.38%
|
|
National Taiwan University
11 publications, 0.38%
|
|
Columbia University
11 publications, 0.38%
|
|
Oregon Health & Science University
11 publications, 0.38%
|
|
Oakland University
11 publications, 0.38%
|
|
Indiana University School of Medicine
11 publications, 0.38%
|
|
Capital Medical University
10 publications, 0.35%
|
|
Medical University of Vienna
10 publications, 0.35%
|
|
Taipei Medical University
10 publications, 0.35%
|
|
Rutgers, The State University of New Jersey
10 publications, 0.35%
|
|
University of Maryland, Baltimore
10 publications, 0.35%
|
|
Kanazawa Medical University
10 publications, 0.35%
|
|
University of Pennsylvania
10 publications, 0.35%
|
|
Texas A&M University Health Science Center
10 publications, 0.35%
|
|
University Hospital of Bern
9 publications, 0.31%
|
|
University of Turku
9 publications, 0.31%
|
|
Stanford University
9 publications, 0.31%
|
|
Seoul National University
9 publications, 0.31%
|
|
Taipei Veterans General Hospital
9 publications, 0.31%
|
|
University of Texas Southwestern Medical Center
9 publications, 0.31%
|
|
Emory University
9 publications, 0.31%
|
|
Texas Tech University Health Sciences Center
9 publications, 0.31%
|
|
King Saud University
8 publications, 0.28%
|
|
Hacettepe University
8 publications, 0.28%
|
|
Ankara University
8 publications, 0.28%
|
|
Hebrew University of Jerusalem
8 publications, 0.28%
|
|
University of Milan
8 publications, 0.28%
|
|
Imperial College London
8 publications, 0.28%
|
|
Sorbonne University
8 publications, 0.28%
|
|
University of Verona
8 publications, 0.28%
|
|
Cornell University
8 publications, 0.28%
|
|
University of Florence
8 publications, 0.28%
|
|
Vita-Salute San Raffaele University
8 publications, 0.28%
|
|
University of Brescia
8 publications, 0.28%
|
|
Boston University
8 publications, 0.28%
|
|
Korea University
8 publications, 0.28%
|
|
Seoul National University Bundang Hospital
8 publications, 0.28%
|
|
Chonnam National University
8 publications, 0.28%
|
|
West Virginia University
8 publications, 0.28%
|
|
Tufts University
8 publications, 0.28%
|
|
Loyola University Chicago
8 publications, 0.28%
|
|
University of Chicago
8 publications, 0.28%
|
|
Vanderbilt University Medical Center
8 publications, 0.28%
|
|
Show all (70 more) | |
20
40
60
80
100
120
|
Publishing organizations in 5 years
10
20
30
40
50
60
|
|
University of California, Davis
52 publications, 11.98%
|
|
Duke University
9 publications, 2.07%
|
|
Rutgers, The State University of New Jersey
7 publications, 1.61%
|
|
Wenzhou Medical University
7 publications, 1.61%
|
|
Loyola University Chicago
7 publications, 1.61%
|
|
Queen's University Belfast
7 publications, 1.61%
|
|
University of Miami
7 publications, 1.61%
|
|
Indiana University Bloomington
7 publications, 1.61%
|
|
University of Health Sciences, Turkey
6 publications, 1.38%
|
|
Mayo Clinic
6 publications, 1.38%
|
|
Shanghai Jiao Tong University
5 publications, 1.15%
|
|
Fudan University
5 publications, 1.15%
|
|
University of Colorado Anschutz Medical Campus
5 publications, 1.15%
|
|
Capital Medical University
4 publications, 0.92%
|
|
Sun Yat-sen University
4 publications, 0.92%
|
|
Chinese Academy of Medical Sciences & Peking Union Medical College
4 publications, 0.92%
|
|
Konyang University
4 publications, 0.92%
|
|
University of California, Irvine
4 publications, 0.92%
|
|
University of Minnesota
4 publications, 0.92%
|
|
University of Florida
4 publications, 0.92%
|
|
University of Nebraska Medical Center
4 publications, 0.92%
|
|
Hacettepe University
3 publications, 0.69%
|
|
Cleveland Clinic Abu Dhabi
3 publications, 0.69%
|
|
All India Institute of Medical Sciences, Bhopal
3 publications, 0.69%
|
|
Central Drug Research Institute
3 publications, 0.69%
|
|
University of New South Wales
3 publications, 0.69%
|
|
Medical University of Vienna
3 publications, 0.69%
|
|
Soochow University (Suzhou)
3 publications, 0.69%
|
|
Stony Brook University
3 publications, 0.69%
|
|
Cornell University
3 publications, 0.69%
|
|
University of Florence
3 publications, 0.69%
|
|
Korea University
3 publications, 0.69%
|
|
Case Western Reserve University
3 publications, 0.69%
|
|
Harvard University
3 publications, 0.69%
|
|
Ohio State University
3 publications, 0.69%
|
|
Tufts Medical Center
3 publications, 0.69%
|
|
University of California, San Diego
3 publications, 0.69%
|
|
Zhengzhou University
3 publications, 0.69%
|
|
Baylor College of Medicine
3 publications, 0.69%
|
|
National Autonomous University of Mexico
3 publications, 0.69%
|
|
Food and Drug Administration
3 publications, 0.69%
|
|
Sapporo Medical University
3 publications, 0.69%
|
|
Kanazawa Medical University
3 publications, 0.69%
|
|
Cleveland Clinic Lerner College of Medicine
3 publications, 0.69%
|
|
University of North Texas Health Science Center
3 publications, 0.69%
|
|
University of Texas Health Science Center at San Antonio
3 publications, 0.69%
|
|
University of Utah
3 publications, 0.69%
|
|
University of Tennessee Health Science Center
3 publications, 0.69%
|
|
King Khalid University
2 publications, 0.46%
|
|
Istanbul University
2 publications, 0.46%
|
|
Mersin University
2 publications, 0.46%
|
|
Gaziosmanpasa University
2 publications, 0.46%
|
|
Başkent University
2 publications, 0.46%
|
|
Erzincan Binali Yildirim University
2 publications, 0.46%
|
|
Zhejiang University
2 publications, 0.46%
|
|
Hebrew University of Jerusalem
2 publications, 0.46%
|
|
Tongji University
2 publications, 0.46%
|
|
Bolu Abant Izzet Baysal University
2 publications, 0.46%
|
|
Trakya University
2 publications, 0.46%
|
|
University of Malaya
2 publications, 0.46%
|
|
Second Xiangya Hospital of Central South University
2 publications, 0.46%
|
|
Jordan University of Science and Technology
2 publications, 0.46%
|
|
University Hospital of Bern
2 publications, 0.46%
|
|
University of Bern
2 publications, 0.46%
|
|
Nankai University
2 publications, 0.46%
|
|
Chongqing Medical University
2 publications, 0.46%
|
|
Geneva University Hospitals
2 publications, 0.46%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
2 publications, 0.46%
|
|
Nanyang Technological University
2 publications, 0.46%
|
|
Imperial College London
2 publications, 0.46%
|
|
Oslo University Hospital
2 publications, 0.46%
|
|
Kanazawa University
2 publications, 0.46%
|
|
National University of Singapore
2 publications, 0.46%
|
|
National Taiwan University
2 publications, 0.46%
|
|
China Medical University (Liaoning)
2 publications, 0.46%
|
|
National Taiwan University Hospital
2 publications, 0.46%
|
|
Michigan State University
2 publications, 0.46%
|
|
Kaohsiung Medical University
2 publications, 0.46%
|
|
China Medical University (Taiwan)
2 publications, 0.46%
|
|
Yale University
2 publications, 0.46%
|
|
University of Pisa
2 publications, 0.46%
|
|
Cairo University
2 publications, 0.46%
|
|
Seoul National University
2 publications, 0.46%
|
|
Auburn University
2 publications, 0.46%
|
|
Hong Kong University of Science and Technology
2 publications, 0.46%
|
|
Chonnam National University
2 publications, 0.46%
|
|
University of Washington
2 publications, 0.46%
|
|
University of Arizona
2 publications, 0.46%
|
|
Leibniz Institute for Analytical Sciences - ISAS
2 publications, 0.46%
|
|
Wayne State University
2 publications, 0.46%
|
|
Tulane University
2 publications, 0.46%
|
|
Henan Provincial People's Hospital
2 publications, 0.46%
|
|
Essen University Hospital
2 publications, 0.46%
|
|
University of Tokyo
2 publications, 0.46%
|
|
Medical College of Wisconsin
2 publications, 0.46%
|
|
University of Wisconsin–Madison
2 publications, 0.46%
|
|
Kindai University
2 publications, 0.46%
|
|
Shiga University of Medical Science
2 publications, 0.46%
|
|
Toho University Ohashi Medical Center
2 publications, 0.46%
|
|
Colorado School of Mines
2 publications, 0.46%
|
|
Show all (70 more) | |
10
20
30
40
50
60
|
Publishing countries
200
400
600
800
1000
1200
1400
1600
|
|
USA
|
USA, 1428, 49.39%
USA
1428 publications, 49.39%
|
China
|
China, 318, 11%
China
318 publications, 11%
|
Japan
|
Japan, 240, 8.3%
Japan
240 publications, 8.3%
|
Turkey
|
Turkey, 144, 4.98%
Turkey
144 publications, 4.98%
|
Italy
|
Italy, 130, 4.5%
Italy
130 publications, 4.5%
|
Republic of Korea
|
Republic of Korea, 95, 3.29%
Republic of Korea
95 publications, 3.29%
|
Germany
|
Germany, 94, 3.25%
Germany
94 publications, 3.25%
|
United Kingdom
|
United Kingdom, 73, 2.53%
United Kingdom
73 publications, 2.53%
|
France
|
France, 61, 2.11%
France
61 publications, 2.11%
|
Spain
|
Spain, 53, 1.83%
Spain
53 publications, 1.83%
|
India
|
India, 51, 1.76%
India
51 publications, 1.76%
|
Switzerland
|
Switzerland, 48, 1.66%
Switzerland
48 publications, 1.66%
|
Brazil
|
Brazil, 42, 1.45%
Brazil
42 publications, 1.45%
|
Finland
|
Finland, 39, 1.35%
Finland
39 publications, 1.35%
|
Israel
|
Israel, 38, 1.31%
Israel
38 publications, 1.31%
|
Canada
|
Canada, 38, 1.31%
Canada
38 publications, 1.31%
|
Greece
|
Greece, 20, 0.69%
Greece
20 publications, 0.69%
|
Iran
|
Iran, 20, 0.69%
Iran
20 publications, 0.69%
|
Austria
|
Austria, 18, 0.62%
Austria
18 publications, 0.62%
|
Egypt
|
Egypt, 18, 0.62%
Egypt
18 publications, 0.62%
|
Saudi Arabia
|
Saudi Arabia, 18, 0.62%
Saudi Arabia
18 publications, 0.62%
|
Australia
|
Australia, 16, 0.55%
Australia
16 publications, 0.55%
|
Singapore
|
Singapore, 15, 0.52%
Singapore
15 publications, 0.52%
|
Sweden
|
Sweden, 15, 0.52%
Sweden
15 publications, 0.52%
|
Mexico
|
Mexico, 14, 0.48%
Mexico
14 publications, 0.48%
|
Thailand
|
Thailand, 12, 0.42%
Thailand
12 publications, 0.42%
|
Malaysia
|
Malaysia, 11, 0.38%
Malaysia
11 publications, 0.38%
|
Netherlands
|
Netherlands, 11, 0.38%
Netherlands
11 publications, 0.38%
|
Belgium
|
Belgium, 8, 0.28%
Belgium
8 publications, 0.28%
|
Hungary
|
Hungary, 8, 0.28%
Hungary
8 publications, 0.28%
|
Poland
|
Poland, 7, 0.24%
Poland
7 publications, 0.24%
|
Portugal
|
Portugal, 6, 0.21%
Portugal
6 publications, 0.21%
|
Ireland
|
Ireland, 6, 0.21%
Ireland
6 publications, 0.21%
|
South Africa
|
South Africa, 6, 0.21%
South Africa
6 publications, 0.21%
|
UAE
|
UAE, 5, 0.17%
UAE
5 publications, 0.17%
|
Russia
|
Russia, 4, 0.14%
Russia
4 publications, 0.14%
|
Argentina
|
Argentina, 4, 0.14%
Argentina
4 publications, 0.14%
|
Denmark
|
Denmark, 4, 0.14%
Denmark
4 publications, 0.14%
|
Iceland
|
Iceland, 4, 0.14%
Iceland
4 publications, 0.14%
|
Romania
|
Romania, 4, 0.14%
Romania
4 publications, 0.14%
|
Venezuela
|
Venezuela, 3, 0.1%
Venezuela
3 publications, 0.1%
|
Vietnam
|
Vietnam, 3, 0.1%
Vietnam
3 publications, 0.1%
|
Indonesia
|
Indonesia, 3, 0.1%
Indonesia
3 publications, 0.1%
|
Lithuania
|
Lithuania, 3, 0.1%
Lithuania
3 publications, 0.1%
|
Pakistan
|
Pakistan, 3, 0.1%
Pakistan
3 publications, 0.1%
|
Ukraine
|
Ukraine, 2, 0.07%
Ukraine
2 publications, 0.07%
|
Georgia
|
Georgia, 2, 0.07%
Georgia
2 publications, 0.07%
|
Jordan
|
Jordan, 2, 0.07%
Jordan
2 publications, 0.07%
|
Kenya
|
Kenya, 2, 0.07%
Kenya
2 publications, 0.07%
|
Nepal
|
Nepal, 2, 0.07%
Nepal
2 publications, 0.07%
|
Norway
|
Norway, 2, 0.07%
Norway
2 publications, 0.07%
|
Peru
|
Peru, 2, 0.07%
Peru
2 publications, 0.07%
|
Serbia
|
Serbia, 2, 0.07%
Serbia
2 publications, 0.07%
|
Slovakia
|
Slovakia, 2, 0.07%
Slovakia
2 publications, 0.07%
|
Jamaica
|
Jamaica, 2, 0.07%
Jamaica
2 publications, 0.07%
|
Azerbaijan
|
Azerbaijan, 1, 0.03%
Azerbaijan
1 publication, 0.03%
|
Bulgaria
|
Bulgaria, 1, 0.03%
Bulgaria
1 publication, 0.03%
|
Burundi
|
Burundi, 1, 0.03%
Burundi
1 publication, 0.03%
|
Colombia
|
Colombia, 1, 0.03%
Colombia
1 publication, 0.03%
|
Costa Rica
|
Costa Rica, 1, 0.03%
Costa Rica
1 publication, 0.03%
|
Latvia
|
Latvia, 1, 0.03%
Latvia
1 publication, 0.03%
|
Maldives
|
Maldives, 1, 0.03%
Maldives
1 publication, 0.03%
|
Malta
|
Malta, 1, 0.03%
Malta
1 publication, 0.03%
|
Nigeria
|
Nigeria, 1, 0.03%
Nigeria
1 publication, 0.03%
|
New Zealand
|
New Zealand, 1, 0.03%
New Zealand
1 publication, 0.03%
|
Oman
|
Oman, 1, 0.03%
Oman
1 publication, 0.03%
|
Uruguay
|
Uruguay, 1, 0.03%
Uruguay
1 publication, 0.03%
|
Czech Republic
|
Czech Republic, 1, 0.03%
Czech Republic
1 publication, 0.03%
|
Chile
|
Chile, 1, 0.03%
Chile
1 publication, 0.03%
|
Show all (39 more) | |
200
400
600
800
1000
1200
1400
1600
|
Publishing countries in 5 years
50
100
150
200
250
|
|
USA
|
USA, 204, 47%
USA
204 publications, 47%
|
China
|
China, 55, 12.67%
China
55 publications, 12.67%
|
Turkey
|
Turkey, 31, 7.14%
Turkey
31 publications, 7.14%
|
Japan
|
Japan, 24, 5.53%
Japan
24 publications, 5.53%
|
India
|
India, 21, 4.84%
India
21 publications, 4.84%
|
Republic of Korea
|
Republic of Korea, 16, 3.69%
Republic of Korea
16 publications, 3.69%
|
United Kingdom
|
United Kingdom, 13, 3%
United Kingdom
13 publications, 3%
|
Germany
|
Germany, 11, 2.53%
Germany
11 publications, 2.53%
|
Italy
|
Italy, 10, 2.3%
Italy
10 publications, 2.3%
|
Spain
|
Spain, 6, 1.38%
Spain
6 publications, 1.38%
|
France
|
France, 5, 1.15%
France
5 publications, 1.15%
|
Australia
|
Australia, 5, 1.15%
Australia
5 publications, 1.15%
|
Brazil
|
Brazil, 5, 1.15%
Brazil
5 publications, 1.15%
|
Mexico
|
Mexico, 5, 1.15%
Mexico
5 publications, 1.15%
|
Singapore
|
Singapore, 5, 1.15%
Singapore
5 publications, 1.15%
|
Austria
|
Austria, 4, 0.92%
Austria
4 publications, 0.92%
|
Egypt
|
Egypt, 4, 0.92%
Egypt
4 publications, 0.92%
|
Israel
|
Israel, 4, 0.92%
Israel
4 publications, 0.92%
|
Saudi Arabia
|
Saudi Arabia, 4, 0.92%
Saudi Arabia
4 publications, 0.92%
|
Denmark
|
Denmark, 3, 0.69%
Denmark
3 publications, 0.69%
|
Malaysia
|
Malaysia, 3, 0.69%
Malaysia
3 publications, 0.69%
|
UAE
|
UAE, 3, 0.69%
UAE
3 publications, 0.69%
|
Switzerland
|
Switzerland, 3, 0.69%
Switzerland
3 publications, 0.69%
|
Vietnam
|
Vietnam, 2, 0.46%
Vietnam
2 publications, 0.46%
|
Indonesia
|
Indonesia, 2, 0.46%
Indonesia
2 publications, 0.46%
|
Jordan
|
Jordan, 2, 0.46%
Jordan
2 publications, 0.46%
|
Iran
|
Iran, 2, 0.46%
Iran
2 publications, 0.46%
|
Ireland
|
Ireland, 2, 0.46%
Ireland
2 publications, 0.46%
|
Canada
|
Canada, 2, 0.46%
Canada
2 publications, 0.46%
|
Lithuania
|
Lithuania, 2, 0.46%
Lithuania
2 publications, 0.46%
|
Norway
|
Norway, 2, 0.46%
Norway
2 publications, 0.46%
|
Poland
|
Poland, 2, 0.46%
Poland
2 publications, 0.46%
|
Finland
|
Finland, 2, 0.46%
Finland
2 publications, 0.46%
|
Ukraine
|
Ukraine, 1, 0.23%
Ukraine
1 publication, 0.23%
|
Portugal
|
Portugal, 1, 0.23%
Portugal
1 publication, 0.23%
|
Argentina
|
Argentina, 1, 0.23%
Argentina
1 publication, 0.23%
|
Belgium
|
Belgium, 1, 0.23%
Belgium
1 publication, 0.23%
|
Bulgaria
|
Bulgaria, 1, 0.23%
Bulgaria
1 publication, 0.23%
|
Greece
|
Greece, 1, 0.23%
Greece
1 publication, 0.23%
|
Georgia
|
Georgia, 1, 0.23%
Georgia
1 publication, 0.23%
|
Latvia
|
Latvia, 1, 0.23%
Latvia
1 publication, 0.23%
|
Pakistan
|
Pakistan, 1, 0.23%
Pakistan
1 publication, 0.23%
|
Slovakia
|
Slovakia, 1, 0.23%
Slovakia
1 publication, 0.23%
|
Czech Republic
|
Czech Republic, 1, 0.23%
Czech Republic
1 publication, 0.23%
|
South Africa
|
South Africa, 1, 0.23%
South Africa
1 publication, 0.23%
|
Show all (15 more) | |
50
100
150
200
250
|
2 profile journal articles
Ucar Fikret
50 publications,
199 citations
h-index: 8