Gavin Tan

667 citations
25 papers · 369 · h-index 10

Impact in

Papers in

Gavin Tan

23 papers receiving 361 citations

Peers

Gavin Tan
Comparison fields: 5 of 43
  • Ophthalmology 253
  • Radiology, Nuclear Medicine and Imaging 119
  • Health Informatics 4
  • Clinical Biochemistry 9
  • Neurology 9
Replace Masih Hashemi with:
Masih Hashemi Iran
Christina A. Korb Germany
Jared S. Nielsen United States
Henrietta Ho Singapore
Gabi Shemesh Israel
Nevbahar Tamçelik Türkiye
Pei-Yao Chang Taiwan
C Fenerty United Kingdom
Simone de Voogd Netherlands
John T. Lind United States
Gavin Tan relative to Masih Hashemi Iran Masih Hashemi's profile →
Citations per field
00.5×1.5×
Masih Hashemi · 1×
Citations per year

Countries citing papers authored by Gavin Tan

Since Specialization
Citations

This map shows the geographic impact of Gavin Tan'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 Gavin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Tan more than expected).

Fields of papers citing papers by Gavin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin Tan. 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 Gavin Tan. The network helps show where Gavin Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Gavin Tan, 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 Gavin Tan Line = papers co-authored together Gavin Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200992
2 201254
3 201154
4 201728
5 201622
6 200521
7 202120
8 201819
9 202310
10 20199
11 20126
12 20196
13
[The spontaneous otitis media in rickety rats].
19975
14 20214
15 20214
16 20164
17 20163
18 20252
19 20192
20
Handheld chromatic pupillometry detects preclinical retinal dysfunction in patients with diabetes mellitus
20201

About Gavin Tan

Gavin Tan is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Molecular Biology, Health Information Management and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 369 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (8 papers), Retinal Diseases and Treatments (7 papers), Glaucoma and retinal disorders (4 papers), Artificial Intelligence in Healthcare (3 papers), Retinal and Optic Conditions (3 papers), Retinal and Macular Surgery (3 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Ophthalmology (253 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Health Informatics (4 citations), Clinical Biochemistry (9 citations) and Neurology (9 citations). Gavin Tan has collaborated with scholars based in Singapore, United States and Switzerland. Frequent co-authors include Tin Aung, Tina Wong, Victor Koh, Shamira Perera, Mingguang He, Ian Yeo, Shu Yen Lee, David S. Friedman, Wanting Zhao and Jialiang Li. Their work appears in journals such as British Journal of Ophthalmology, American Journal of Ophthalmology, Investigative Ophthalmology & Visual Science, Clinical and Experimental Optometry and 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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