Kemin Tan

4.5k citations
65 papers · 3.0k indexed · h-index 26

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Kemin Tan

65 papers receiving 2.9k citations

Peers

Kemin Tan
Comparison fields: 5 of 124
  • Virology 421
  • Immunology 839
  • Immunology and Allergy 200
  • Infectious Diseases 418
  • Molecular Biology 1.5k
Replace Jing‐hsiung James Ou with:
Jing‐hsiung James Ou United States
Martine Pugnière France
Thomas S. Vedvick United States
Dominic Esposito United States
Elke S. Bergmann‐Leitner United States
Nga Y. Nguyen United States
Matthew J. Bottomley Italy
W.P. Burmeister France
Mitchell Gross United States
Matthew K. Higgins United Kingdom
Kemin Tan relative to Jing‐hsiung James Ou United States Jing‐hsiung James Ou's profile →
Citations per field
00.5×1.5×2.4×
Jing‐hsiung James Ou · 1×
Citations per year

Countries citing papers authored by Kemin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Kemin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kemin 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 Kemin Tan Line = papers co-authored together Kemin Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202410
2 20232
3 20229
4 202123
5 20212
6 202014
7 202044
8 202017
9 202018
10 20199
11 201834
12 201532
13 201578
14 20155
15 201319
16 200914
17 200729
18 200729
19 200673
20 200537

About Kemin Tan

Kemin Tan is a scholar working on Immunology and Allergy, Toxicology, Molecular Medicine, Biotechnology and Molecular Biology, having authored 65 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Cell Adhesion Molecules Research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Enzyme Structure and Function (9 papers), Bacterial Genetics and Biotechnology (8 papers), Cancer therapeutics and mechanisms (7 papers), T-cell and B-cell Immunology (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Virology (421 citations), Immunology (839 citations), Immunology and Allergy (200 citations), Infectious Diseases (418 citations) and Molecular Biology (1.5k citations). Kemin Tan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include A. Joachimiak, Jin‐huan Liu, Jia‐Huai Wang, Jack Lawler, Jia-huai Wang, Min Lu, Steven S. Shen, Rongguang Zhang, Mark Duquette and Ellis L. Reinherz. Their work appears in journals such as Journal of Biological Chemistry, Protein Science, Nucleic Acids Research, The FASEB Journal and Applied and Environmental Microbiology.

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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