Keith Tan

2.8k citations
49 papers · 1.6k indexed · h-index 21

Impact in

Papers in

    • Antibiotics Pharmacokinetics and Efficacy 7
    • Musculoskeletal pain and rehabilitation 3
    • Pain Mechanisms and Treatments 6
    • Alzheimer's disease research and treatments 3

Keith Tan

48 papers receiving 1.6k citations

Peers

Keith Tan
Comparison fields: 5 of 170
  • Statistics and Probability 327
  • Transplantation 103
  • Infectious Diseases 338
  • Pharmacology 218
  • Epidemiology 321
Replace Bo Martin Bibby with:
Bo Martin Bibby Denmark
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Keith Tan relative to Bo Martin Bibby Denmark Bo Martin Bibby's profile →
Citations per field
00.5×2.6×
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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995468
2 2006198
3 2021100
4 200383
5 201182
6 201763
7 201742
8 200637
9 199329
10 199528
11
Enhanced absorption of new oral cyclosporin microemulsion formulation, Neoral, in liver transplant recipients with external biliary diversion.
199428
12 201627
13 199025
14 200424
15 199524
16 202223
17 199523
18 201123
19 201423
20 197822

About Keith Tan

Keith Tan is a scholar working on Pharmacology, Physiology, Surgery, Molecular Biology and Transplantation, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (8 papers), Transplantation: Methods and Outcomes (7 papers), Antifungal resistance and susceptibility (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Pain Mechanisms and Treatments (6 papers), Alzheimer's disease research and treatments (3 papers), Viral Infections and Immunology Research (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Statistics and Probability (327 citations), Transplantation (103 citations), Infectious Diseases (338 citations), Pharmacology (218 citations) and Epidemiology (321 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 Layton, Satoshi Sobue, Nicola Best and J. Wallwork. Their work appears in journals such as British Journal of Clinical Pharmacology, Transplantation, Nature Communications, Therapeutic Drug Monitoring and European Journal of Clinical Pharmacology.

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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