Jay C Wang

1.9k citations
72 papers · 1.4k · h-index 22

Impact in

Papers in

Jay C Wang

62 papers receiving 1.4k citations

Peers

Jay C Wang
Comparison fields: 5 of 76
  • Ophthalmology 807
  • Radiology, Nuclear Medicine and Imaging 549
  • Developmental Neuroscience 33
  • Health Informatics 13
  • Biomedical Engineering 109
Replace Shyamanga Borooah with:
Shyamanga Borooah United States
Nikolas J. S. London United States
Devin M. Gattey United States
Murat Hasanreisoğlu Türkiye
Shweta Singhal Singapore
Daniel J. Salchow Germany
Ying Han United States
Suk Ho Byeon South Korea
Akihito Uji Japan
Aude Couturier France
Jay C Wang relative to Shyamanga Borooah United States Shyamanga Borooah's profile →
Citations per field
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Shyamanga Borooah · 1×
Citations per year

Countries citing papers authored by Jay C Wang

Since Specialization
Citations

This map shows the geographic impact of Jay C Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jay C Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay C Wang more than expected).

Fields of papers citing papers by Jay C Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay C Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jay C Wang. The network helps show where Jay C Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jay C Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay C Wang Line = papers co-authored together Jay C Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021232
2 2021124
3 202098
4 201775
5 201063
6 201962
7 202259
8 202039
9 201736
10 201733
11 201930
12 202030
13 199828
14 202028
15 201927
16 202027
17 201926
18 202426
19 201925
20 201924

About Jay C Wang

Jay C Wang is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition and Health Informatics, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (34 papers), Retinal Imaging and Analysis (14 papers), Retinal and Macular Surgery (10 papers), Ocular Diseases and Behçet’s Syndrome (7 papers), Optical Coherence Tomography Applications (5 papers), Retinal and Optic Conditions (4 papers), Glaucoma and retinal disorders (3 papers) and Ocular Surface and Contact Lens (2 papers). The work is most often cited by research in Ophthalmology (807 citations), Radiology, Nuclear Medicine and Imaging (549 citations), Developmental Neuroscience (33 citations), Health Informatics (13 citations) and Biomedical Engineering (109 citations). Jay C Wang has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include John B. Miller, Demetrios G. Vavvas, Joan W. Miller, Inês Laíns, Raviv Katz, Filippos Vingopoulos, Ying Cui, Deeba Husain, Leo A. Kim and Yifan Lu. Their work appears in journals such as British Journal of Ophthalmology, Graefe s Archive for Clinical and Experimental Ophthalmology, Clinical ophthalmology, American Journal of Ophthalmology and Ophthalmic surgery, lasers & imaging retina.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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