Masahiro Ono
- Immunology top 0.1%
- Immune Cell Function and Interaction 32
- T-cell and B-cell Immunology 28
- Immunotherapy and Immune Responses 12
- Oncology top 1%
- Biological Psychiatry top 2%
- Transplantation top 2%
- Immunology and Allergy top 2%
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- Herpesvirus Infections and Treatments 13
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- Superconducting Materials and Applications 12
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- Virus-based gene therapy research 11
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- Single-cell and spatial transcriptomics 9
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- Growth Hormone and Insulin-like Growth Factors 8
- Co-authors
- Shimon SakaguchiTakashi NomuraTomoyuki YamaguchiJun ShimizuTakeshi TakahashiHaruhiko YagiShohei HoriZoltán Fehérvári
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Masahiro Ono
155 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Immunology 7.3k
- Oncology 2.0k
- Biological Psychiatry 171
- Transplantation 178
- Immunology and Allergy 312
Countries citing papers authored by Masahiro Ono
This map shows the geographic impact of Masahiro Ono'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 Masahiro Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Ono more than expected).
Fields of papers citing papers by Masahiro Ono
This network shows the impact of papers produced by Masahiro Ono. 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 Masahiro Ono. The network helps show where Masahiro Ono may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masahiro Ono, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2021 | 19 | |
| 9 | 2018 | 34 | |
| 10 | 2015 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2012 | 2 | |
| 13 | 2011 | 1 | |
| 14 | Foxp3 controls regulatory T-cell function by interacting with AML1/Runx1breakdown → | 2007 | 533 |
| 15 | 2006 | 133 | |
| 16 | Immunodiagnosis of Acanthamoeba Keratitis using Monoclonal Antibodies | 2003 | 1 |
| 17 | 2001 | 84 | |
| 18 | 2000 | 6 | |
| 19 | 1999 | 3 | |
| 20 | 1996 | 30 |
About Masahiro Ono
Masahiro Ono is a scholar working on Immunology, Virology and Behavioral Neuroscience, having authored 167 papers that have together received 11.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (28 papers), Herpesvirus Infections and Treatments (13 papers), Immunotherapy and Immune Responses (12 papers), Superconducting Materials and Applications (12 papers), Virus-based gene therapy research (11 papers), Single-cell and spatial transcriptomics (9 papers) and Growth Hormone and Insulin-like Growth Factors (8 papers). The work is most often cited by research in Immunology (7.3k citations), Oncology (2.0k citations) and Biological Psychiatry (171 citations). Masahiro Ono has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Shimon Sakaguchi, Takashi Nomura, Tomoyuki Yamaguchi, Jun Shimizu, Takeshi Takahashi, Haruhiko Yagi, Shohei Hori, Zoltán Fehérvári, Ruka Setoguchi and Hiroko Ushikubo. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.