Tsuneya Ohno

3.6k citations
103 papers · 3.1k · h-index 32

Impact in

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

Papers in

    • Immunotherapy and Immune Responses 30
    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 13
    • RNA Interference and Gene Delivery 12
    • Glycosylation and Glycoproteins Research 9

Tsuneya Ohno

101 papers receiving 2.9k citations

Peers

Tsuneya Ohno
Comparison fields: 5 of 105
  • Immunology 1.3k
  • Oncology 872
  • Virology 126
  • Genetics 225
  • Biotechnology 174
Replace Maurizio Zanetti with:
Maurizio Zanetti United States
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Steven R. Wiley United States
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Citations per field
00.5×2.8×
Maurizio Zanetti · 1×
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 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001240
2 1985188
3 2004178
4 2001171
5 2002106
6 1978105
7 2001104
8 199086
9 198482
10 200077
11 196772
12 199871
13 200263
14 199162
15 199561
16 200158
17 199956
18 198548
19 197947
20 197546

About Tsuneya Ohno

Tsuneya Ohno is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 103 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (30 papers), Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (13 papers), RNA Interference and Gene Delivery (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Virus-based gene therapy research (11 papers), HIV Research and Treatment (11 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (872 citations), Virology (126 citations), Genetics (225 citations) and Biotechnology (174 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, Iafa Keydar and Ricardo Mesa‐Tejada. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Cancer, Human Gene Therapy, Journal of Immunotherapy and Cancer Letters.

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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