Keith Tan

2.8k citations
50 papers · 1.7k · 1 hit paper · h-index 21

Impact in

    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
    • Statistical Methods in Clinical Trials
    • Renal Transplantation Outcomes and Treatments

Papers in

Keith Tan

49 papers receiving 1.7k citations

Keith Tan's Hit Papers

Adaptive Rejection Metropolis Sampling within Gibbs Sampling 1995 · 501 citations
5010+10+20Years since publication100200300400500

Peers

Keith Tan
Comparison fields: 5 of 170
  • Statistics and Probability 351
  • Transplantation 87
  • Infectious Diseases 336
  • Pharmacology 172
  • Epidemiology 274
Replace Bo Martin Bibby with:
Bo Martin Bibby Denmark
Franck Picard France
Dana C. Crawford United States
Brooke L. Fridley United States
Rick Chappell United States
Kenneth Rice United States
Daijin Ko United States
Jennifer C. Boldrick United States
Nengjun Yi United States
Jonathan French United States
Keith Tan relative to Bo Martin Bibby Denmark Bo Martin Bibby's profile →
Citations per field
00.5×2.8×
Bo Martin Bibby · 1×
Citations per year

Countries citing papers authored by Keith Tan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Keith Tan Line = papers co-authored together Keith Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adaptive Rejection Metropolis Sampling within Gibbs Sampling
Hit paper breakdown →
1995501
2 2006216
3 2021105
4 200388
5 201186
6 201767
7 201745
8 200640
9 201630
10 199530
11 199330
12
Enhanced absorption of new oral cyclosporin microemulsion formulation, Neoral, in liver transplant recipients with external biliary diversion.
199430
13 200427
14 199026
15 202226
16 199524
17 201423
18 199523
19 201123
20 197823

About Keith Tan

Keith Tan is a scholar working on Surgery, Infectious Diseases, Molecular Biology, Pharmacology and Physiology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (8 papers), Renal Transplantation Outcomes and Treatments (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Transplantation: Methods and Outcomes (6 papers), Pain Mechanisms and Treatments (3 papers), Alzheimer's disease research and treatments (3 papers), Neuropeptides and Animal Physiology (3 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Statistics and Probability (351 citations), Transplantation (87 citations), Infectious Diseases (336 citations), Pharmacology (172 citations) and Epidemiology (274 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, Peter F. Troke, Konrad E. Tomaszewski, Andrew K. Trull, Gary Layton, Satoshi Sobue, Nicola Best and J. Wallwork. Their work appears in journals such as British Journal of Clinical Pharmacology, Transplantation, Nature Communications, European Journal of Clinical Pharmacology 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.

Explore authors with similar magnitude of impact