Kevin Tan
Impact in
- Family Practice top 5%
- Neurology top 5%
- Peripheral Neuropathies and Disorders
Papers in
- Neurology 32
- Peripheral Neuropathies and Disorders 19
- Autoimmune Neurological Disorders and Treatments 10
-
- Multiple Sclerosis Research Studies 14
- Co-authors
- Lyle W. Ostrow (1 shared paper)Avindra Nath (1 shared paper)Justin C. McArthur (1 shared paper)Nigel CK Tan (19 shared papers)Nagaendran Kandiah (5 shared papers)C. C. Tchoyoson Lim (8 shared papers)Narayanaswamy Venketasubramanian (4 shared papers)Thirugnanam Umapathi (3 shared papers)
- Journals
- Neurology (6 papers)Journal of the Neurological Sciences (3 papers)Scientific Reports (2 papers)Medical Education (2 papers)Journal of Clinical Apheresis (2 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Kevin Tan
86 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 129
- Family Practice 47
- Neurology 205
- Pathology and Forensic Medicine 162
- Oncology 223
- Virology 31
Countries citing papers authored by Kevin Tan
This map shows the geographic impact of Kevin 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 Kevin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Tan more than expected).
Fields of papers citing papers by Kevin Tan
This network shows the impact of papers produced by Kevin 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 Kevin Tan. The network helps show where Kevin Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin 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
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 259 | |
| 2 | 2011 | 94 | |
| 3 | 2020 | 70 | |
| 4 | 2010 | 51 | |
| 5 | 2010 | 45 | |
| 6 | 2002 | 42 | |
| 7 | 2013 | 32 | |
| 8 | 2014 | 30 | |
| 9 | 2009 | 27 | |
| 10 | 2008 | 25 | |
| 11 | 2004 | 25 | |
| 12 | 2021 | 24 | |
| 13 | 2022 | 24 | |
| 14 | 2008 | 17 | |
| 15 | 2007 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 1995 | 13 | |
| 20 | 2008 | 13 |
About Kevin Tan
Kevin Tan is a scholar working on Neurology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology, having authored 98 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (19 papers), Multiple Sclerosis Research Studies (14 papers), Innovations in Medical Education (13 papers), Clinical Reasoning and Diagnostic Skills (11 papers), Autoimmune Neurological Disorders and Treatments (10 papers), Bacterial Infections and Vaccines (7 papers), Infectious Encephalopathies and Encephalitis (6 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Family Practice (47 citations), Neurology (205 citations), Pathology and Forensic Medicine (162 citations), Oncology (223 citations) and Virology (31 citations). Kevin Tan has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Lyle W. Ostrow, Avindra Nath, Justin C. McArthur, Nigel CK Tan, Nagaendran Kandiah, C. C. Tchoyoson Lim, Narayanaswamy Venketasubramanian, Thirugnanam Umapathi, Yiong Huak Chan and Tianrong Yeo. Their work appears in journals such as Neurology, Journal of the Neurological Sciences, Scientific Reports, Medical Education and Journal of Clinical Apheresis.
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.