Yutaka Arimura

1.3k citations
36 papers · 1.1k · h-index 19

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses
    • Protein Tyrosine Phosphatases
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • T-cell and B-cell Immunology 12
    • Immune Cell Function and Interaction 12
    • Galectins and Cancer Biology 7
    • Immunotherapy and Immune Responses 5
    • Protein Tyrosine Phosphatases 8
    • Glycosylation and Glycoproteins Research 2

Yutaka Arimura

35 papers receiving 1.1k citations

Peers

Yutaka Arimura
Comparison fields: 5 of 97
  • Immunology 518
  • Molecular Biology 499
  • Oncology 154
  • Immunology and Allergy 26
  • Virology 20
Replace Pia M. Martensen with:
Pia M. Martensen Denmark
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Martine Humbert France
Danya Liu United States
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Jill M. Carton United States
Athena W. Wong United States
Z. Sean Juo United States
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Citations per field
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Citations per year

Countries citing papers authored by Yutaka Arimura

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Arimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008146
2 2008115
3 200773
4 200066
5 200263
6 199957
7 201053
8 201549
9 200949
10 199641
11 201036
12 200435
13 200332
14 200729
15 200628
16 199323
17 200723
18 200822
19 201221
20 199418

About Yutaka Arimura

Yutaka Arimura is a scholar working on Immunology, Molecular Biology, Oncology, Surgery and Epidemiology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (12 papers), Protein Tyrosine Phosphatases (8 papers), Galectins and Cancer Biology (7 papers), Immunotherapy and Immune Responses (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Immunology (518 citations), Molecular Biology (499 citations), Oncology (154 citations), Immunology and Allergy (26 citations) and Virology (20 citations). Yutaka Arimura has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Junji Yagi, Tomas Mustelin, Lutz Tautz, Torkel Vang, Ana V. Miletic, Robert C. Rickert, Madoka Koyanagi, Takehiko Uchiyama, Scott Williams and Tatsuo Katagiri. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, International Immunology, Journal of Leukocyte Biology and Cellular Immunology.

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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