K. Tate

615 citations
12 papers · 555 · h-index 9

Impact in

    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Pharmacological Effects and Assays

Papers in

    • Protease and Inhibitor Mechanisms 3
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 2

K. Tate

12 papers receiving 502 citations

Peers

K. Tate
Comparison fields: 5 of 69
  • Immunology 173
  • Animal Science and Zoology 52
  • Cancer Research 65
  • Molecular Biology 284
  • Hematology 43
Replace Martha D. Delahunty with:
Martha D. Delahunty United States
William Gillespie United States
I Morimoto Japan
Hiroyuki Soga Japan
Guoxiang Wu China
J.W. Simons United States
Hironori Adachi United States
Karen L. Singer United States
Tetsuji Hosono Japan
Hans L. P. van Duijnhoven Netherlands
K. Tate relative to Martha D. Delahunty United States Martha D. Delahunty's profile →
Citations per field
00.5×2×3×4×4.7×
Martha D. Delahunty · 1×
Citations per year

Countries citing papers authored by K. Tate

Since Specialization
Citations

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

Fields of papers citing papers by K. Tate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1997144
2 1991111
3 198896
4 199889
5 199650
6 199121
7 199415
8 198810
9 199210
10 19876
11 19882
12
Red cell uridine monophosphate kinase (UMPK) and glyoxalase I (GLO) polymorphisms in a Japanese population: with a description of the new phenotype UMPK 4--1.
19771

About K. Tate

K. Tate is a scholar working on Cancer Research, Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Oncology, having authored 12 papers that have together received 555 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Protease and Inhibitor Mechanisms (3 papers), Immune Cell Function and Interaction (2 papers), Glycosylation and Glycoproteins Research (1 paper), Enzyme Production and Characterization (1 paper), vaccines and immunoinformatics approaches (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology (173 citations), Animal Science and Zoology (52 citations), Cancer Research (65 citations), Molecular Biology (284 citations) and Hematology (43 citations). K. Tate has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Arthur Donny Strosberg, Colette Delavier-Klutchko, Laurent Jean Emorine, Stéfano Marullo, E. J. Weinman, Deborah Steplock, Randy A. Hall, Robert F. Spurney, Shirish Shenolikar and Allen K. Wensky. Their work appears in journals such as Thrombosis and Haemostasis, European Journal of Biochemistry, The Journal of Experimental Medicine, Biochimie and Journal of Immunological Methods.

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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