Hitoshi Hasegawa
- Immunology and Allergy top 0.5%
- Immunology top 1%
- Immune Cell Function and Interaction 27
- T-cell and B-cell Immunology 17
- Immunotherapy and Immune Responses 14
- T-cell and Retrovirus Studies 12
- Hematology top 2%
- Oncology top 2%
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research 14
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- Intracranial Aneurysms: Treatment and Complications 20
- Vascular Malformations Diagnosis and Treatment 11
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- Vasculitis and related conditions 12
- Co-authors
- Shigeru FujitaTakuya MatsumotoMasaki YasukawaMasashi KohnoMargaret CallanOsamu YoshieAtsushi InoueKohsuke Yanagisawa
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Cell Biology (1 paper)Blood (11 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hitoshi Hasegawa
179 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 133
- Immunology and Allergy 690
- Immunology 2.3k
- Hematology 471
- Oncology 1.0k
- Rheumatology 460
Countries citing papers authored by Hitoshi Hasegawa
This map shows the geographic impact of Hitoshi Hasegawa'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 Hitoshi Hasegawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Hasegawa more than expected).
Fields of papers citing papers by Hitoshi Hasegawa
This network shows the impact of papers produced by Hitoshi Hasegawa. 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 Hitoshi Hasegawa. The network helps show where Hitoshi Hasegawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hitoshi Hasegawa, 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 | 2024 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2020 | 65 | |
| 6 | 2020 | 19 | |
| 7 | 2016 | 10 | |
| 8 | 2011 | 1 | |
| 9 | 2010 | 0 | |
| 10 | 2009 | 4 | |
| 11 | 2007 | 10 | |
| 12 | 2007 | 26 | |
| 13 | 2006 | 137 | |
| 14 | 2005 | 178 | |
| 15 | 2001 | 183 | |
| 16 | 1997 | 10 | |
| 17 | 1997 | 1 | |
| 18 | THE EFFECT OF LONG-TERM NITRIC OXIDE SYNTHASE INHIBITION ON CORONARY VASCULATURE AND MYOCARDIUM IN RAT HEART : ACE INHIBITOR PREVENTS MICROVESSEL DISEASE INDUCED BY NITRIC OXIDE SYNTHASE INHIBITOR | 1994 | 1 |
| 19 | 1983 | 3 | |
| 20 | 1982 | 6 |
About Hitoshi Hasegawa
Hitoshi Hasegawa is a scholar working on Immunology, Rheumatology and Hematology, having authored 190 papers that have together received 5.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), Intracranial Aneurysms: Treatment and Complications (20 papers), T-cell and B-cell Immunology (17 papers), Systemic Lupus Erythematosus Research (14 papers), Immunotherapy and Immune Responses (14 papers), T-cell and Retrovirus Studies (12 papers), Vasculitis and related conditions (12 papers) and Vascular Malformations Diagnosis and Treatment (11 papers). The work is most often cited by research in Immunology and Allergy (690 citations), Immunology (2.3k citations) and Hematology (471 citations). Hitoshi Hasegawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shigeru Fujita, Takuya Matsumoto, Masaki Yasukawa, Masashi Kohno, Margaret Callan, Osamu Yoshie, Atsushi Inoue, Kohsuke Yanagisawa, Tim Willinger and Andrew J. McMichael. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Blood.
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.