Gavin Tan
Impact in
- Ophthalmology top 2%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
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- Retinal Imaging and Analysis
- Retinal and Macular Surgery
Papers in
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- Retinal Diseases and Treatments 9
- Intraocular Surgery and Lenses 2
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- Retinal Imaging and Analysis 6
- Retinal and Macular Surgery 2
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Tien Yin Wong (12 shared papers)Chui Ming Gemmy Cheung (3 shared papers)Ecosse L. Lamoureux (7 shared papers)Ching‐Yu Cheng (6 shared papers)Charumathi Sabanayagam (6 shared papers)Wai‐Ching Lam (1 shared paper)Raymond Wong (1 shared paper)Beau J. Fenner (1 shared paper)
- Journals
- Diabetes Research and Clinical Practice (3 papers)Translational Vision Science & Technology (2 papers)Scientific Reports (2 papers)Ophthalmology (1 paper)PLoS ONE (1 paper)
- Partner nations
- SingaporeAustraliaUnited States
In The Last Decade
Gavin Tan
17 papers receiving 443 citations
Peers
Comparison fields: 5 of 47
- Ophthalmology 237
- Radiology, Nuclear Medicine and Imaging 164
- Nephrology 22
- Endocrinology, Diabetes and Metabolism 48
- Health Information Management 9
Countries citing papers authored by Gavin Tan
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 102 | |
| 2 | 2018 | 84 | |
| 3 | 2022 | 59 | |
| 4 | 2014 | 50 | |
| 5 | 2017 | 36 | |
| 6 | 2020 | 23 | |
| 7 | 2021 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2015 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2021 | 0 |
About Gavin Tan
Gavin Tan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Nephrology, Neurology and Artificial Intelligence, having authored 20 papers that have together received 452 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (9 papers), Retinal Imaging and Analysis (6 papers), Chronic Kidney Disease and Diabetes (2 papers), Intraocular Surgery and Lenses (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers), Retinal and Macular Surgery (2 papers), Diabetes Management and Research (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Ophthalmology (237 citations), Radiology, Nuclear Medicine and Imaging (164 citations), Nephrology (22 citations), Endocrinology, Diabetes and Metabolism (48 citations) and Health Information Management (9 citations). Gavin Tan has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Tien Yin Wong, Chui Ming Gemmy Cheung, Ecosse L. Lamoureux, Ching‐Yu Cheng, Charumathi Sabanayagam, Wai‐Ching Lam, Raymond Wong, Beau J. Fenner, Paul Mitchell and Jie Jin Wang. Their work appears in journals such as Diabetes Research and Clinical Practice, Translational Vision Science & Technology, Scientific Reports, Ophthalmology and PLoS ONE.
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.