William Tan
Impact in
- Genetics top 10%
- Inflammatory Bowel Disease
Papers in
- Genetics 7
- Inflammatory Bowel Disease 7
-
- Microscopic Colitis 3
- Co-authors
- Ashwin N. Ananthakrishnan (8 shared papers)Nienke Z. Borren (5 shared papers)Hamed Khalili (4 shared papers)Vikram Deshpande (2 shared papers)Sara Michelle Gregory (1 shared paper)Jonathan Lee (1 shared paper)Clary B. Clish (1 shared paper)Damian Rafal Plichta (1 shared paper)
- Journals
- The Journal of Urology (2 papers)Alimentary Pharmacology & Therapeutics (1 paper)IEEE Internet of Things Journal (1 paper)Natural Products and Bioprospecting (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesSingaporeIndonesia
In The Last Decade
William Tan
15 papers receiving 532 citations
Peers
Comparison fields: 5 of 76
- Genetics 249
- Gastroenterology 26
- Epidemiology 109
- Public Health, Environmental and Occupational Health 64
- Emergency Medical Services 14
Countries citing papers authored by William Tan
This map shows the geographic impact of William 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 William Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Tan more than expected).
Fields of papers citing papers by William Tan
This network shows the impact of papers produced by William 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 William Tan. The network helps show where William Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside William 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 | 2021 | 181 | |
| 2 | 2011 | 86 | |
| 3 | 2019 | 63 | |
| 4 | 2019 | 50 | |
| 5 | 2017 | 32 | |
| 6 | 2013 | 32 | |
| 7 | 2019 | 26 | |
| 8 | 2020 | 22 | |
| 9 | 2002 | 16 | |
| 10 | 2020 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2013 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2026 | 0 | |
| 17 | 2023 | 0 |
About William Tan
William Tan is a scholar working on Genetics, Epidemiology, Urology, Information Systems and Emergency Medical Services, having authored 17 papers that have together received 538 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (7 papers), Microscopic Colitis (3 papers), Pediatric Urology and Nephrology Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Edcuational Technology Systems (1 paper), Kidney Stones and Urolithiasis Treatments (1 paper), Mobile and Web Applications (1 paper) and Wireless Communication Networks Research (1 paper). The work is most often cited by research in Genetics (249 citations), Gastroenterology (26 citations), Epidemiology (109 citations), Public Health, Environmental and Occupational Health (64 citations) and Emergency Medical Services (14 citations). William Tan has collaborated with scholars based in United States, Singapore and Indonesia. Frequent co-authors include Ashwin N. Ananthakrishnan, Nienke Z. Borren, Hamed Khalili, Vikram Deshpande, Sara Michelle Gregory, Jonathan Lee, Clary B. Clish, Damian Rafal Plichta, Helena W Lau and Ramnik J. Xavier. Their work appears in journals such as The Journal of Urology, Alimentary Pharmacology & Therapeutics, IEEE Internet of Things Journal, Natural Products and Bioprospecting and Cancer Discovery.
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.