William Tan
Impact in
- Genetics top 10%
- Inflammatory Bowel Disease
- Gastroenterology top 10%
Papers in
- Epidemiology 10
- Microscopic Colitis 9
- Autoimmune and Inflammatory Disorders 2
- Genetics 9
- Inflammatory Bowel Disease 9
- Co-authors
- Ashwin N. Ananthakrishnan (9 shared papers)Nienke Z. Borren (6 shared papers)Hamed Khalili (5 shared papers)Vikram Deshpande (2 shared papers)Damian R. Plichta (1 shared paper)Clary B. Clish (1 shared paper)Sara Gregory (1 shared paper)Larson Hogstrom (1 shared paper)
- Journals
- Gastroenterology (2 papers)The Journal of Urology (2 papers)Journal of Clinical Oncology (1 paper)IEEE Internet of Things Journal (1 paper)Digestive Diseases and Sciences (1 paper)
- Partner nations
- United StatesNetherlandsSingapore
In The Last Decade
William Tan
14 papers receiving 361 citations
Peers
Comparison fields: 5 of 70
- Genetics 229
- Gastroenterology 32
- Epidemiology 169
- Biological Psychiatry 6
- Emergency Medical Services 17
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 | 143 | |
| 2 | 2019 | 50 | |
| 3 | 2019 | 44 | |
| 4 | 2013 | 27 | |
| 5 | 2017 | 26 | |
| 6 | 2019 | 25 | |
| 7 | 2020 | 16 | |
| 8 | 2002 | 16 | |
| 9 | 2020 | 10 | |
| 10 | 2018 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2013 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 0 |
About William Tan
William Tan is a scholar working on Epidemiology, Genetics, Pulmonary and Respiratory Medicine, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 367 indexed citations. Recurring topics across this work include Microscopic Colitis (9 papers), Inflammatory Bowel Disease (9 papers), Autoimmune and Inflammatory Disorders (2 papers), Mobile and Web Applications (1 paper), Healthcare Operations and Scheduling Optimization (1 paper), Autoimmune and Inflammatory Disorders Research (1 paper), Kidney Stones and Urolithiasis Treatments (1 paper) and Telecommunications and Broadcasting Technologies (1 paper). The work is most often cited by research in Genetics (229 citations), Gastroenterology (32 citations), Epidemiology (169 citations), Biological Psychiatry (6 citations) and Emergency Medical Services (17 citations). William Tan has collaborated with scholars based in United States, Netherlands and Singapore. Frequent co-authors include Ashwin N. Ananthakrishnan, Nienke Z. Borren, Hamed Khalili, Vikram Deshpande, Damian R. Plichta, Clary B. Clish, Sara Gregory, Larson Hogstrom, Jonathan Lee and Helena Lau. Their work appears in journals such as Gastroenterology, The Journal of Urology, Journal of Clinical Oncology, IEEE Internet of Things Journal and Digestive Diseases and Sciences.
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.