Toshimichi Matsui
- Immunology top 5%
- Molecular Biology
- Oncology
- Rheumatology top 10%
- Epidemiology
- Co-authors
- Jacques BanchereauHideki UenoEynav KlechevskyJoseph W. FayJohn E. ConnollyA. Karolina PaluckaVirginia PascualTohru Akahoshi
- Topics
- Immunotherapy and Immune Responses (5 papers)Immune Response and Inflammation (4 papers)T-cell and B-cell Immunology (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Toshimichi Matsui
15 papers receiving 938 citations
Peers
Comparison fields: 5 of 89
- Immunology 660
- Molecular Biology 220
- Oncology 200
- Rheumatology 102
- Epidemiology 80
Countries citing papers authored by Toshimichi Matsui
This map shows the geographic impact of Toshimichi Matsui'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 Toshimichi Matsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshimichi Matsui more than expected).
Fields of papers citing papers by Toshimichi Matsui
This network shows the impact of papers produced by Toshimichi Matsui. 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 Toshimichi Matsui. The network helps show where Toshimichi Matsui may publish in the future.
Co-authorship network of co-authors of Toshimichi Matsui
This figure shows the co-authorship network connecting the top 25 collaborators of Toshimichi Matsui. A scholar is included among the top collaborators of Toshimichi Matsui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Toshimichi Matsui. Toshimichi Matsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 131 | |
| 2 | 17 | |
| 3 | 13 | |
| 4 | 151 | |
| 5 | A Study on Effects of Replenished Zinc on Patients with Rheumatoid Arthritis | 2 |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 321 | |
| 10 | Novel autoantibodies against 7SL RNA in patients with polymyositis/dermatomyositis. | 31 |
| 11 | 65 | |
| 12 | Differential expression of leukotriene B4 receptor subtypes (BLT1 and BLT2) in human synovial tissues and synovial fluid leukocytes of patients with rheumatoid arthritis. | 44 |
| 13 | 31 | |
| 14 | 115 | |
| 15 | 17 |
About Toshimichi Matsui
Toshimichi Matsui is a scholar working on Immunology and Allergy, Immunology and Ophthalmology, having authored 15 papers that have together received 958 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (660 citations), Oncology (200 citations) and Immunology and Allergy (44 citations). Toshimichi Matsui has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Jacques Banchereau, Hideki Ueno, Eynav Klechevsky, Joseph W. Fay, John E. Connolly, A. Karolina Palucka, Virginia Pascual, Tohru Akahoshi, Tiziana Di Pucchio and Rimpei Morita. Their work appears in journals such as The Journal of Immunology, Infection and Immunity and Immunological Reviews.
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.