Keith Tan
Impact in
- Physiology top 2%
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Statistical Methods in Clinical Trials
Papers in
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- Renal Transplantation Outcomes and Treatments 6
-
- Pharmacogenetics and Drug Metabolism 6
- Co-authors
- Walter R. Gilks (1 shared paper)Nicky Best (1 shared paper)Nolan Wood (3 shared papers)Konrad E. Tomaszewski (1 shared paper)Peter F. Troke (1 shared paper)Andrew K. Trull (13 shared papers)Gary R. Layton (4 shared papers)John L. Wallwork (9 shared papers)
- Journals
- British Journal of Clinical Pharmacology (4 papers)Alzheimer s & Dementia (3 papers)Transplantation (3 papers)The Lancet (2 papers)Therapeutic Drug Monitoring (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Keith Tan
51 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 145
- Physiology 138
- Statistics and Probability 378
- Transplantation 87
- Infectious Diseases 297
- Pharmacology 153
Countries citing papers authored by Keith Tan
This map shows the geographic impact of Keith 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 Keith Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Tan more than expected).
Fields of papers citing papers by Keith Tan
This network shows the impact of papers produced by Keith 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 Keith Tan. The network helps show where Keith Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 508 | |
| 2 | 2012 | 318 | |
| 3 | 2006 | 224 | |
| 4 | 2021 | 116 | |
| 5 | 2019 | 99 | |
| 6 | 2003 | 92 | |
| 7 | 2011 | 88 | |
| 8 | 2017 | 68 | |
| 9 | 1993 | 58 | |
| 10 | 2017 | 47 | |
| 11 | 2006 | 40 | |
| 12 | 1995 | 31 | |
| 13 | 1993 | 30 | |
| 14 | Enhanced absorption of new oral cyclosporin microemulsion formulation, Neoral, in liver transplant recipients with external biliary diversion. | 1994 | 30 |
| 15 | 2022 | 30 | |
| 16 | 2004 | 28 | |
| 17 | 2011 | 28 | |
| 18 | 2014 | 27 | |
| 19 | 1990 | 26 | |
| 20 | 1995 | 24 |
About Keith Tan
Keith Tan is a scholar working on Transplantation, Pharmacology, Infectious Diseases, Physiology and Surgery, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (9 papers), Antifungal resistance and susceptibility (8 papers), Pharmacogenetics and Drug Metabolism (6 papers), Renal Transplantation Outcomes and Treatments (6 papers), Alzheimer's disease research and treatments (5 papers), Pain Mechanisms and Treatments (4 papers), Drug Solubulity and Delivery Systems (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Physiology (138 citations), Statistics and Probability (378 citations), Transplantation (87 citations), Infectious Diseases (297 citations) and Pharmacology (153 citations). Keith Tan has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Walter R. Gilks, Nicky Best, Nolan Wood, Konrad E. Tomaszewski, Peter F. Troke, Andrew K. Trull, Gary R. Layton, John L. Wallwork, Satoshi Sobue and Nicola G. Best. Their work appears in journals such as British Journal of Clinical Pharmacology, Alzheimer s & Dementia, Transplantation, The Lancet and Therapeutic Drug Monitoring.
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.