Shinya Suzu

3.3k citations
96 papers · 2.7k indexed · h-index 30

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 24
    • Immune Cell Function and Interaction 28
    • Immune cells in cancer 25
    • Immunotherapy and Immune Responses 13
    • Immune Response and Inflammation 11

Shinya Suzu

95 papers receiving 2.6k citations

Peers

Shinya Suzu
Comparison fields: 5 of 101
  • Virology 371
  • Immunology 1.3k
  • Oncology 646
  • Immunology and Allergy 113
  • Hematology 160
Replace Avi Ashkenazi with:
Avi Ashkenazi United States
Dale Ando United States
Georgina J. Clark Australia
Nadir Mechti France
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Agustı́n Valenzuela-Fernández Spain
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Dennis M. Willerford United States
Patrick Schaerli Switzerland
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Citations per field
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Avi Ashkenazi · 1×
Citations per year

Countries citing papers authored by Shinya Suzu

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Suzu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20241
4 20236
5 20234
6 20219
7 201717
8 201516
9 201461
10 2012113
11 201120
12 201118
13 200722
14 200538
15 200514
16 200330
17 200118
18 200064
19 19948
20 199412

About Shinya Suzu

Shinya Suzu is a scholar working on Virology, Immunology, Immunology and Allergy, Microbiology and Cell Biology, having authored 96 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (28 papers), Immune cells in cancer (25 papers), HIV Research and Treatment (24 papers), Immunotherapy and Immune Responses (13 papers), Proteoglycans and glycosaminoglycans research (11 papers), Immune Response and Inflammation (11 papers), Cell Adhesion Molecules Research (10 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Virology (371 citations), Immunology (1.3k citations), Oncology (646 citations), Immunology and Allergy (113 citations) and Hematology (160 citations). Shinya Suzu has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Seiji Okada, Masateru Hiyoshi, Hideki Harada, Yoshihiro Komohara, Motohiro Takeya, Koji Ohnishi, Hasita Horlad, K Motoyoshi, Kazuo Motoyoshi and Yukio Fujiwara. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Physiology, Blood, The Journal of Immunology and Journal of Biological Chemistry.

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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