Masayuki Tsuji
- Immunology top 2%
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 2
- Sensory Systems top 5%
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms 3
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- Developmental Biology and Gene Regulation 3
- Endocrinology top 10%
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- Boron Compounds in Chemistry 2
- Medical Imaging Techniques and Applications 2
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- Clostridium difficile and Clostridium perfringens research 2
- Co-authors
- Sidonia FagarasanKeiichiro SuzukiTasuku HonjoKenji TanigakiSeon-Ah HaOsami KanagawaShohei HoriNoriko Komatsu
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masayuki Tsuji
22 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 1.2k
- Sensory Systems 119
- Developmental Neuroscience 71
- Molecular Biology 653
- Endocrinology 47
Countries citing papers authored by Masayuki Tsuji
This map shows the geographic impact of Masayuki Tsuji'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 Masayuki Tsuji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Tsuji more than expected).
Fields of papers citing papers by Masayuki Tsuji
This network shows the impact of papers produced by Masayuki Tsuji. 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 Masayuki Tsuji. The network helps show where Masayuki Tsuji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masayuki Tsuji, 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 | 2012 | 21 | |
| 2 | Preferential Generation of Follicular B Helper T Cells from Foxp3 + T Cells in Gut Peyer's Patchesbreakdown → | 2009 | 463 |
| 3 | 2009 | 20 | |
| 4 | 2008 | 59 | |
| 5 | 2008 | 340 | |
| 6 | 2007 | 43 | |
| 7 | 2006 | 235 | |
| 8 | 2006 | 107 | |
| 9 | 2006 | 102 | |
| 10 | 2005 | 131 | |
| 11 | 2004 | 261 | |
| 12 | 2004 | 52 | |
| 13 | 2004 | 5 | |
| 14 | 2004 | 13 | |
| 15 | 2003 | 44 | |
| 16 | 2003 | 69 | |
| 17 | 1999 | 4 | |
| 18 | 1994 | 10 | |
| 19 | 1989 | 11 | |
| 20 | 1989 | 24 |
About Masayuki Tsuji
Masayuki Tsuji is a scholar working on Developmental Neuroscience, Immunology and Sensory Systems, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Developmental Biology and Gene Regulation (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Boron Compounds in Chemistry (2 papers), Medical Imaging Techniques and Applications (2 papers), Immunotherapy and Immune Responses (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Immunology (1.2k citations), Sensory Systems (119 citations) and Developmental Neuroscience (71 citations). Masayuki Tsuji has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Sidonia Fagarasan, Keiichiro Suzuki, Tasuku Honjo, Kenji Tanigaki, Seon-Ah Ha, Osami Kanagawa, Shohei Hori, Noriko Komatsu, Shimpei Kawamoto and Norio Yamamoto. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.