Nigel CK Tan

1.6k total citations
52 papers, 1.1k citations indexed

About

Nigel CK Tan is a scholar working on Public Health, Environmental and Occupational Health, Psychiatry and Mental health and Family Practice. According to data from OpenAlex, Nigel CK Tan has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 14 papers in Psychiatry and Mental health and 12 papers in Family Practice. Recurrent topics in Nigel CK Tan's work include Innovations in Medical Education (15 papers), Clinical Reasoning and Diagnostic Skills (12 papers) and Epilepsy research and treatment (11 papers). Nigel CK Tan is often cited by papers focused on Innovations in Medical Education (15 papers), Clinical Reasoning and Diagnostic Skills (12 papers) and Epilepsy research and treatment (11 papers). Nigel CK Tan collaborates with scholars based in Singapore, Australia and United States. Nigel CK Tan's co-authors include Samuel F. Berkovic, John C. Mulley, Kevin Tan, Ingrid E. Scheffer, Thirugnanam Umapathi, Yiong Huak Chan, Sarah E. Heron, Nagaendran Kandiah, Dong Haur Phua and Jacinta M. McMahon and has published in prestigious journals such as Neurology, Stroke and Journal of Clinical Epidemiology.

In The Last Decade

Nigel CK Tan

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel CK Tan Singapore 18 417 255 177 171 143 52 1.1k
Esther Shabtai Israel 21 225 0.5× 107 0.4× 279 1.6× 101 0.6× 82 0.6× 58 1.6k
T. J. Butler United Kingdom 20 100 0.2× 125 0.5× 28 0.2× 196 1.1× 53 0.4× 36 1.3k
Weiwei Chang China 20 123 0.3× 62 0.2× 41 0.2× 97 0.6× 60 0.4× 76 1.0k
Vishal Sondhi India 11 352 0.8× 252 1.0× 19 0.1× 42 0.2× 47 0.3× 49 737
Antonio Gangemi United States 23 89 0.2× 33 0.1× 180 1.0× 78 0.5× 210 1.5× 99 1.5k
Dejan Nikolić Serbia 15 96 0.2× 81 0.3× 34 0.2× 61 0.4× 109 0.8× 156 971
Hatice Bodur Türkiye 26 163 0.4× 30 0.1× 106 0.6× 70 0.4× 124 0.9× 129 2.1k
MinYoung Kim South Korea 18 283 0.7× 251 1.0× 33 0.2× 62 0.4× 22 0.2× 72 1.2k
Hooman Ghasemi Iran 13 211 0.5× 33 0.1× 142 0.8× 81 0.5× 49 0.3× 32 1.4k
Abdulrahman J. Sabbagh Saudi Arabia 21 192 0.5× 138 0.5× 40 0.2× 110 0.6× 14 0.1× 63 998

Countries citing papers authored by Nigel CK Tan

Since Specialization
Citations

This map shows the geographic impact of Nigel CK 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 Nigel CK Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel CK Tan more than expected).

Fields of papers citing papers by Nigel CK Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel CK Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel CK Tan. A scholar is included among the top collaborators of Nigel CK 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 Nigel CK Tan. Nigel CK 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.
Saffari, Seyed Ehsan, et al.. (2024). Evaluation of prognostic scores for status epilepticus in the neurology ICU: A retrospective study. Journal of the Neurological Sciences. 459. 122953–122953. 2 indexed citations
3.
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
4.
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
5.
Tan, Kevin, et al.. (2023). Refocusing SoTL – Myopia, Context Lenses and Ecological Systems Theory. The Asia Pacific Scholar. 8(2). 80–82. 3 indexed citations
6.
Tan, Yee‐Leng, Seyed Ehsan Saffari, & Nigel CK Tan. (2022). A framework for evaluating predictive models. Journal of Clinical Epidemiology. 150. 188–190. 6 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.
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
10.
Tan, Nigel CK, et al.. (2016). Does Team-Based Learning Improve Clinical Reasoning in Neurology? (P2.373). Neurology. 86(16_supplement). 2 indexed citations
11.
Tu, Tian Ming, et al.. (2013). Clinical risk factors for non-convulsive status epilepticus during emergent electroencephalogram. Seizure. 22(9). 794–797. 18 indexed citations
12.
O’Doherty, Catherine, et al.. (2013). SCN1A variations and response to multiple antiepileptic drugs. The Pharmacogenomics Journal. 14(4). 385–389. 20 indexed citations
13.
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
14.
Johnson, Michael R., Nigel CK Tan, Patrick Kwan, & Martin J. Brodie. (2011). Newly diagnosed epilepsy and pharmacogenomics research: A step in the right direction?. Epilepsy & Behavior. 22(1). 3–8. 8 indexed citations
15.
Wong, Damon Wing Kee, Nigel CK Tan, Zhenyu Zhang, et al.. (2010). Automatic Detection of Peripapillary Atrophy in Digital Fundus Photographs. Investigative Ophthalmology & Visual Science. 51(13). 1798–1798. 1 indexed citations
16.
Tan, Nigel CK & Kevin Tan. (2008). ‘Who wants to be a neurologist?’ An undergraduate quiz. Medical Education. 42(5). 522–522. 1 indexed citations
17.
Tan, Louis C.S., et al.. (2008). Bromocriptine use and the risk of valvular heart disease. Movement Disorders. 24(3). 344–349. 33 indexed citations
18.
Umapathi, Thirugnanam, Wan Loo Tan, Nigel CK Tan, & Yiong Huak Chan. (2006). Determinants of epidermal nerve fiber density in normal individuals. Muscle & Nerve. 33(6). 742–746. 51 indexed citations
19.
Yong, Vernon K., Thirugnanam Umapathi, Tin Aung, et al.. (2004). Systemic autonomic function in subjects with primary angle‐closure glaucoma: a comparative study of symptomatic and asymptomatic disease presentation. Clinical and Experimental Ophthalmology. 32(2). 137–141. 6 indexed citations
20.
Tan, Nigel CK, John C. Mulley, & Samuel F. Berkovic. (2004). Genetic Association Studies in Epilepsy: “The Truth Is Out There”. Epilepsia. 45(11). 1429–1442. 140 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.

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