Kevin Tan

1.9k total citations
98 papers, 1.1k citations indexed

About

Kevin Tan is a scholar working on Neurology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kevin Tan has authored 98 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Neurology, 16 papers in Pathology and Forensic Medicine and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kevin Tan's work include Peripheral Neuropathies and Disorders (19 papers), Multiple Sclerosis Research Studies (14 papers) and Innovations in Medical Education (13 papers). Kevin Tan is often cited by papers focused on Peripheral Neuropathies and Disorders (19 papers), Multiple Sclerosis Research Studies (14 papers) and Innovations in Medical Education (13 papers). Kevin Tan collaborates with scholars based in Singapore, United States and United Kingdom. Kevin Tan's co-authors include Avindra Nath, Lyle W. Ostrow, Justin C. McArthur, Nigel CK Tan, Nagaendran Kandiah, C. C. Tchoyoson Lim, Narayanaswamy Venketasubramanian, Yiong Huak Chan, Thirugnanam Umapathi and Tianrong Yeo and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Kevin Tan

86 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin Tan Singapore 15 223 205 190 162 159 98 1.1k
Vishal Gupta India 18 425 1.9× 77 0.4× 60 0.3× 130 0.8× 33 0.2× 125 1.9k
Richard H. Wiggins United States 26 308 1.4× 479 2.3× 54 0.3× 305 1.9× 49 0.3× 105 2.0k
William B. Armstrong United States 27 197 0.9× 72 0.4× 17 0.1× 61 0.4× 141 0.9× 110 2.0k
John Nguyen United States 18 55 0.2× 60 0.3× 63 0.3× 117 0.7× 58 0.4× 67 1.2k
Jau‐Min Wong Taiwan 25 366 1.6× 94 0.5× 49 0.3× 108 0.7× 40 0.3× 93 2.0k
Thomas Herold Germany 22 235 1.1× 28 0.1× 77 0.4× 50 0.3× 41 0.3× 84 1.4k
Chih‐Hung Lai Taiwan 19 231 1.0× 23 0.1× 31 0.2× 40 0.2× 206 1.3× 97 2.2k
Sachin C. Sarode India 27 318 1.4× 37 0.2× 16 0.1× 135 0.8× 175 1.1× 235 2.9k
Hongwei Zhang China 19 148 0.7× 29 0.1× 59 0.3× 316 2.0× 278 1.7× 103 1.4k
Isabel Ramos Portugal 25 79 0.4× 40 0.2× 14 0.1× 77 0.5× 144 0.9× 91 1.8k

Countries citing papers authored by Kevin Tan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kevin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Tan. A scholar is included among the top collaborators of Kevin Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Tan. Kevin Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McCoy, Liam G., Stephen Bacchi, Nigel CK Tan, et al.. (2025). Assessment of Large Language Models in Clinical Reasoning: A Novel Benchmarking Study. NEJM AI. 2(10). 3 indexed citations
2.
Tan, Kevin, et al.. (2024). High-Fidelity Simulations of Active Flow Control Over an Airfoil with Deep Reinforcement Learning. The Proceedings of Mechanical Engineering Congress Japan. 2024(0). S053–16.
3.
Siritho, Sasitorn, Shanthi Viswanathan, Fu Liong Hiew, et al.. (2023). Facilities, selection, outcome measurement, and limitations of therapeutic plasma exchange for neuroimmunological disorders: The South East Asian survey study. Journal of Clinical Apheresis. 38(4). 437–446. 1 indexed citations
4.
Xin, Xiaohui, Jai Prashanth Rao, Nigel CK Tan, et al.. (2023). Measuring Interprofessional Collaboration’s Impact on Healthcare Services Using the Quadruple Aim Framework: A Protocol Paper. International Journal of Environmental Research and Public Health. 20(9). 5704–5704. 1 indexed citations
5.
Tan, Nigel CK, et al.. (2023). How community and organizational culture interact and affect senior clinical educator identity. Medical Teacher. 46(4). 564–572. 4 indexed citations
6.
Koh, Jasmine Shimin, Yihui Goh, Benjamin Yong‐Qiang Tan, et al.. (2022). Low incidence of neurological recurrent side-effects following COVID-19 reimmunization. QJM. 116(3). 221–226. 5 indexed citations
7.
Tan, Nigel CK, et al.. (2022). Effective online large-group teaching in health professions education. Korean journal of medical education. 34(2). 155–166. 3 indexed citations
8.
Tan, Kevin, Jai Prashanth Rao, Wee Shiong Lim, et al.. (2022). Viewing interprofessional collaboration through the lens of networked ecological systems theory. Journal of Interprofessional Care. 36(6). 777–785. 4 indexed citations
9.
Yeo, Tianrong, et al.. (2022). COVID-19 infection after two doses of SARS-CoV-2 mRNA vaccine in multiple sclerosis, AQP4-antibody NMOSD and MOGAD. Multiple Sclerosis and Related Disorders. 65. 104003–104003. 9 indexed citations
10.
Monaco, Daniel R., Sanjay Kottapalli, Florian P. Breitwieser, et al.. (2021). Deconvoluting virome-wide antibody epitope reactivity profiles. EBioMedicine. 75. 103747–103747. 24 indexed citations
11.
Rajalingam, Preman, et al.. (2021). Is Virtual Team-Based Learning Feasible and Effective in Teaching Neurolocalisation?. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 49(6). 817–819. 1 indexed citations
12.
Chen, E-Hung, Hyun Woo Park, Chun-Cheng Liu, et al.. (2020). 6.2 A 460mW 112Gb/s DSP-Based Transceiver with 38dB Loss Compensation for Next-Generation Data Centers in 7nm FinFET Technology. 118–120. 70 indexed citations
13.
Zellweger, Raphaël M., Sophie Yacoub, Yvonne Fu Zi Chan, et al.. (2020). Disentangling etiologies of CNS infections in Singapore using multiple correspondence analysis and random forest. Scientific Reports. 10(1). 18219–18219. 5 indexed citations
14.
Tan, Natalie WH, Helen May‐Lin Oh, Derrick Chan, et al.. (2015). Neurology of the H1N1 pandemic in Singapore: a nationwide case series of children and adults. Journal of NeuroVirology. 21(5). 491–499. 11 indexed citations
15.
16.
Tan, Nigel CK, et al.. (2011). A controlled study of team-based learning for undergraduate clinical neurology education. BMC Medical Education. 11(1). 91–91. 94 indexed citations
17.
Tan, Kevin, Emma M. Lessieur, Alecia Cutler, et al.. (2010). Impaired function of circulating CD34+ CD45− cells in patients with proliferative diabetic retinopathy. Experimental Eye Research. 91(2). 229–237. 45 indexed citations
18.
Tan, Kevin, et al.. (2009). PML-IRIS in patients with HIV infection. Neurology. 72(17). 1458–1464. 259 indexed citations
19.
Kandiah, Nagaendran, Kevin Tan, C. C. Tchoyoson Lim, & Narayanaswamy Venketasubramanian. (2009). Hyperglycemic choreoathetosis: Role of the putamen in pathogenesis. Movement Disorders. 24(6). 915–919. 27 indexed citations
20.
Tan, Nigel CK & Kevin Tan. (2008). ‘Who wants to be a neurologist?’ An undergraduate quiz. Medical Education. 42(5). 522–522. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Vishal Gupta Breakdown of academic impact, for papers by Richard H. Wiggins Breakdown of academic impact, for papers by William B. Armstrong Breakdown of academic impact, for papers by John Nguyen Breakdown of academic impact, for papers by Jau‐Min Wong Breakdown of academic impact, for papers by Thomas Herold Breakdown of academic impact, for papers by Chih‐Hung Lai Breakdown of academic impact, for papers by Sachin C. Sarode Breakdown of academic impact, for papers by Hongwei Zhang Breakdown of academic impact, for papers by Isabel Ramos
Rankless by CCL
2026