Tsuneya Ohno

3.6k citations
100 papers · 2.9k · h-index 31

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 30
    • Immune Cell Function and Interaction 17
    • T-cell and B-cell Immunology 16
    • RNA Interference and Gene Delivery 14

Tsuneya Ohno

100 papers receiving 2.8k citations

Peers

Tsuneya Ohno
Comparison fields: 5 of 104
  • Immunology 1.4k
  • Oncology 935
  • Virology 122
  • Genetics 244
  • Biotechnology 183
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Citations per field
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Citations per year

Countries citing papers authored by Tsuneya Ohno

Since Specialization
Citations

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

Fields of papers citing papers by Tsuneya Ohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001226
2 1985175
3 2004167
4 2001162
5 2001102
6 2002100
7 197892
8 199083
9 198474
10 200071
11 199868
12 196768
13 200263
14 199162
15 199559
16 200156
17 199954
18 198545
19 200543
20 200642

About Tsuneya Ohno

Tsuneya Ohno is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (30 papers), Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (16 papers), RNA Interference and Gene Delivery (14 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Virus-based gene therapy research (11 papers), HIV Research and Treatment (11 papers) and HIV/AIDS drug development and treatment (8 papers). The work is most often cited by research in Immunology (1.4k citations), Oncology (935 citations), Virology (122 citations), Genetics (244 citations) and Biotechnology (183 citations). Tsuneya Ohno has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Tetsuro Kikuchi, Donald Küfe, Sadamu Homma, Toshiaki Abe, Yasuharu Akasaki, S. Spiegelman, Gotaro Toda, Masaki Irie, Ricardo Mesa‐Tejada and Iafa Keydar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Human Gene Therapy, Cancer Letters, International Journal of Cancer and Journal of Immunotherapy.

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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