K. B. Tan

4.5k citations
54 papers · 2.9k indexed · h-index 22

Impact in

  • Toxicology top 1%
  • Immunology top 5%
    • Mast cells and histamine
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

K. B. Tan

54 papers receiving 2.7k citations

Peers

K. B. Tan
Comparison fields: 5 of 98
  • Toxicology 156
  • Immunology 872
  • Physiology 124
  • Oncology 736
  • Molecular Biology 1.6k
Replace Judith A. Kapp with:
Judith A. Kapp United States
Klaus Seedorf Germany
Michael Hull United States
Toshiyuki Hamaoka Japan
S Y Ng United States
Wojciech Swat United States
J. Yun Tso United States
Charles Van Beveren United States
Osvaldo Rey United States
Ana M. Zubiaga Spain
K. B. Tan relative to Judith A. Kapp United States Judith A. Kapp's profile →
Citations per field
00.5×5.0×
Judith A. Kapp · 1×
Citations per year

Countries citing papers authored by K. B. Tan

Since Specialization
Citations

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

Fields of papers citing papers by K. B. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2001255
2 200017
3 2000130
4 2000226
5 20001
6 199815
7 199821
8 1998196
9 1997229
10 1997257
11 19951
12 19892
13 1989142
14
Elevated topoisomerase II activity and altered chromatin in nitrogen mustard-resistant human cells.
198719
15 198218
16 19773
17 19741
18 197429
19 197411
20 197316

About K. B. Tan

K. B. Tan is a scholar working on Virology, Immunology, Physiology, Molecular Biology and Ecology, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (10 papers), Polyomavirus and related diseases (8 papers), Cancer therapeutics and mechanisms (8 papers), Virus-based gene therapy research (7 papers), interferon and immune responses (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Synthesis and Biological Evaluation (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Toxicology (156 citations), Immunology (872 citations), Physiology (124 citations), Oncology (736 citations) and Molecular Biology (1.6k citations). K. B. Tan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael R. Mattern, F. Sokol, Peter R. Young, Stanley T. Crooke, Christopher K. Mirabelli, Thomas D.Y. Chung, F L McCabe, Richard K. Johnson, Alemseged Truneh and John G. Emery. Their work appears in journals such as Journal of Virology, Virology, Journal of Cellular Biochemistry, Molecular Pharmacology and Journal of General Virology.

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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