Tomohisa Okamura
- Immunology top 2%
- T-cell and B-cell Immunology 33
- Immune Cell Function and Interaction 32
- Immunotherapy and Immune Responses 8
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research 16
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 8
- Immunology and Allergy top 10%
- Sensory Systems top 10%
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- TGF-β signaling in diseases 6
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- Inflammatory Myopathies and Dermatomyositis 5
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Keishi FujioKazuhiko YamamotoShuji SumitomoHirofumi ShodaYukiko IwasakiToshihiko KomaiKaoru MoritaMariko Inoue
- Cited by
- ImmunologyRheumatologyOncology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- JapanUnited StatesSouth Sudan
In The Last Decade
Tomohisa Okamura
71 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Immunology 1.1k
- Rheumatology 303
- Oncology 418
- Immunology and Allergy 79
- Sensory Systems 35
Countries citing papers authored by Tomohisa Okamura
This map shows the geographic impact of Tomohisa Okamura'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 Tomohisa Okamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohisa Okamura more than expected).
Fields of papers citing papers by Tomohisa Okamura
This network shows the impact of papers produced by Tomohisa Okamura. 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 Tomohisa Okamura. The network helps show where Tomohisa Okamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomohisa Okamura, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 21 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 8 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 33 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 15 | |
| 11 | 2018 | 97 | |
| 12 | 2017 | 33 | |
| 13 | 2017 | 52 | |
| 14 | 2016 | 18 | |
| 15 | 2014 | 2 | |
| 16 | 2012 | 58 | |
| 17 | 2010 | 140 | |
| 18 | 2003 | 61 | |
| 19 | 2002 | 11 | |
| 20 | 2002 | 5 |
About Tomohisa Okamura
Tomohisa Okamura is a scholar working on Immunology, Rheumatology and Immunology and Allergy, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (33 papers), Immune Cell Function and Interaction (32 papers), Systemic Lupus Erythematosus Research (16 papers), Immunotherapy and Immune Responses (8 papers), Cytokine Signaling Pathways and Interactions (8 papers), TGF-β signaling in diseases (6 papers), Inflammatory Myopathies and Dermatomyositis (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (1.1k citations), Rheumatology (303 citations) and Oncology (418 citations). Tomohisa Okamura has collaborated with scholars based in Japan, United States and South Sudan. Frequent co-authors include Keishi Fujio, Kazuhiko Yamamoto, Shuji Sumitomo, Hirofumi Shoda, Yukiko Iwasaki, Kazuhiko Yamamoto, Toshihiko Komai, Kaoru Morita, Mariko Inoue and Mihoko Shibuya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.
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.