Ryo Goitsuka

3.1k citations
97 papers · 2.6k · h-index 28

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Mast cells and histamine
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • T-cell and B-cell Immunology 25
    • Immune Cell Function and Interaction 24
    • Immunotherapy and Immune Responses 13
    • Immune Response and Inflammation 10
    • T-cell and Retrovirus Studies 10
    • Mast cells and histamine 7

Ryo Goitsuka

93 papers receiving 2.5k citations

Peers

Ryo Goitsuka
Comparison fields: 5 of 104
  • Immunology 1.3k
  • Virology 133
  • Immunology and Allergy 168
  • Hematology 207
  • Microbiology 114
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Peter A. Schweitzer United States
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Citations per field
00.5×3.4×
Rose G. Mage · 1×
Citations per year

Countries citing papers authored by Ryo Goitsuka

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Goitsuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005256
2 2000131
3
BASH, a novel signaling molecule preferentially expressed in B cells of the bursa of Fabricius.
1998127
4 2002120
5 2000115
6 1998109
7 200896
8 200789
9 199287
10 200367
11 199367
12 199765
13 200154
14 201152
15 200948
16 199047
17 201846
18 200043
19 200843
20 201441

About Ryo Goitsuka

Ryo Goitsuka is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Hematology, having authored 97 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (25 papers), Immune Cell Function and Interaction (24 papers), Virus-based gene therapy research (16 papers), Immunotherapy and Immune Responses (13 papers), Immune Response and Inflammation (10 papers), T-cell and Retrovirus Studies (10 papers), Mast cells and histamine (7 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Immunology (1.3k citations), Virology (133 citations), Immunology and Allergy (168 citations), Hematology (207 citations) and Microbiology (114 citations). Ryo Goitsuka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Daisuke Kitamura, Atsuhiko Hasegawa, Katsuhiko Hayashi, Toshihiro WATARI, Toshifumi Morimura, Hajime Tsujimoto, Sachiyo Tsuji, Yu‐ichi Fujimura, Yasuyuki Momoi and Hiroshi Mamada. Their work appears in journals such as The Journal of Immunology, Veterinary Immunology and Immunopathology, International Immunology, PLoS ONE and Scientific Reports.

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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