Jonathan T. Tan

1.3k citations
17 papers · 536 indexed · h-index 11

Impact in

Papers in

Jonathan T. Tan

16 papers receiving 529 citations

Peers

Jonathan T. Tan
Comparison fields: 5 of 63
  • Genetics 247
  • Endocrinology, Diabetes and Metabolism 100
  • Cardiology and Cardiovascular Medicine 95
  • Urology 25
  • Epidemiology 116
Replace Yunyang Deng with:
Yunyang Deng China
Nirmala D. Sirisena Sri Lanka
Fuat Akercan Türkiye
Erbil Doğan Türkiye
A. C. Thai Singapore
Nazlı Gönç Türkiye
Stephen D. Keay United Kingdom
Marek Pietryga Poland
Saffet Dılek Türkiye
Jan Roar Mellembakken Norway
Jonathan T. Tan relative to Yunyang Deng China Yunyang Deng's profile →
Citations per field
00.5×7.3×
Yunyang Deng · 1×
Citations per year

Countries citing papers authored by Jonathan T. Tan

Since Specialization
Citations

This map shows the geographic impact of Jonathan T. 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 Jonathan T. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan T. Tan more than expected).

Fields of papers citing papers by Jonathan T. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 20232
2 20220
3 20205
4 20198
5 20186
6 201526
7 201418
8
Nonprofit Organizations, For-profit Corporations, and the HHS Mandate: Why the Mandate Does Not Satisfy RFRA's Requirements
20131
9 201137
10 201123
11 200964
12 200960
13 200965
14 200826
15 200850
16 2008130
17 200415

About Jonathan T. Tan

Jonathan T. Tan is a scholar working on Urology, Geriatrics and Gerontology, Ophthalmology, Genetics and Epidemiology, having authored 17 papers that have together received 536 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Pelvic floor disorders treatments (2 papers), Retinal Diseases and Treatments (2 papers), Glaucoma and retinal disorders (2 papers), Urinary Tract Infections Management (2 papers), Retinal Imaging and Analysis (2 papers), Urinary Bladder and Prostate Research (2 papers) and Orthopaedic implants and arthroplasty (1 paper). The work is most often cited by research in Genetics (247 citations), Endocrinology, Diabetes and Metabolism (100 citations), Cardiology and Cardiovascular Medicine (95 citations), Urology (25 citations) and Epidemiology (116 citations). Jonathan T. Tan has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include E Shyong Tai, Suok Kai Chew, Kee Seng Chia, Mark Seielstad, Tien Yin Wong, Seang‐Mei Saw, Tin Aung, Daniel P. K. Ng, Siti Nurbaya and Xueling Sim. Their work appears in journals such as Diabetes, Health and Quality of Life Outcomes, University of Richmond law review, The Journal of Clinical Endocrinology & Metabolism and Clinical ophthalmology.

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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