Kensuke Takada

1.6k citations
32 papers · 1.3k · h-index 18

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • CAR-T cell therapy research
    • Viral-associated cancers and disorders

Papers in

    • T-cell and B-cell Immunology 15
    • Immune Cell Function and Interaction 12
    • Immunotherapy and Immune Responses 12
    • Immune Response and Inflammation 4
    • Ubiquitin and proteasome pathways 4
    • Kruppel-like factors research 2

Kensuke Takada

32 papers receiving 1.2k citations

Peers

Kensuke Takada
Comparison fields: 5 of 92
  • Immunology 800
  • Oncology 334
  • Hematology 53
  • Molecular Biology 324
  • Virology 22
Replace Joan M. G. Sechler with:
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С А Недоспасов Russia
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Citations per field
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Citations per year

Countries citing papers authored by Kensuke Takada

Since Specialization
Citations

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

Fields of papers citing papers by Kensuke Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009295
2 2009173
3 1997120
4 201575
5 200969
6 201555
7 201052
8 201238
9 200938
10 200436
11 201733
12 201730
13 201429
14 200422
15 201721
16 200320
17 201319
18 201317
19 202017
20
[Serum levels of solubule tumor necrosis factor (TNF) receptors in patients with pulmonary tuberculosis].
199615

About Kensuke Takada

Kensuke Takada is a scholar working on Immunology, Molecular Biology, Physiology, Surgery and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (12 papers), Immune Response and Inflammation (4 papers), Ubiquitin and proteasome pathways (4 papers), Salivary Gland Disorders and Functions (3 papers), Kruppel-like factors research (2 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Immunology (800 citations), Oncology (334 citations), Hematology (53 citations), Molecular Biology (324 citations) and Virology (22 citations). Kensuke Takada has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Stephen C. Jameson, Yousuke Takahama, Kristin A. Hogquist, Michael Weinreich, S Imai, Norio Shimizu, Hironori Yoshiyama, Cara Skon-Hegg, Steven L. Reiner and Shigeo Murata. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Current Opinion in Immunology, Frontiers in Immunology and The Journal of Experimental Medicine.

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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