Ken Ito

691 citations
8 papers · 589 · h-index 5

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • T-cell and B-cell Immunology 2
    • Immunotherapy and Immune Responses 1
    • Chemokine receptors and signaling 2

Ken Ito

8 papers receiving 576 citations

Peers

Ken Ito
Comparison fields: 5 of 59
  • Immunology 381
  • Immunology and Allergy 24
  • Virology 18
  • Cell Biology 60
  • Radiology, Nuclear Medicine and Imaging 75
Replace V Duprez with:
V Duprez France
Florence Baychelier France
Robert R. Getty United States
Cynthia Detre United States
Dominique Vanhecke Belgium
G.C. Spagnoli Switzerland
Uwe Schlokat Austria
Susan K. Pierce United States
Rinako Nakagawa United Kingdom
Gilles Besin United States
Ken Ito relative to V Duprez France V Duprez's profile →
Citations per field
00.5×6.5×
V Duprez · 1×
Citations per year

Countries citing papers authored by Ken Ito

Since Specialization
Citations

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

Fields of papers citing papers by Ken Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1996163
2 1995147
3 1989143
4 199376
5 200456
6 20242
7 20241
8 20251

About Ken Ito

Ken Ito is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 8 papers that have together received 589 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (2 papers), T-cell and B-cell Immunology (2 papers), Cellular transport and secretion (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Gene expression and cancer classification (1 paper), Immunotherapy and Immune Responses (1 paper), Adenosine and Purinergic Signaling (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Immunology (381 citations), Immunology and Allergy (24 citations), Virology (18 citations), Cell Biology (60 citations) and Radiology, Nuclear Medicine and Imaging (75 citations). Ken Ito has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Mamadi Yilla, Hidde L. Ploegh, Kiyoshi Miwa, Philippe Benaroch, Graça Raposo, Hans J. Geuze, Adrienne Tan, Charles A. Janeway, I. Ishida and Osami Kanagawa. Their work appears in journals such as Journal of the American Heart Association, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Endocrine Related Cancer and The EMBO Journal.

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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