Motomichi Torisu
- Immunology top 2%
- Surgery top 5%
- Physiology top 5%
- Oncology top 10%
- Molecular Biology
- Co-authors
- Mitsuo KatanoJiro TanakaTakashi MorisakiKazunori IwasakiSeiji MitaYukinori HayashiKiyoshi TakatsuSatoshi Kitamura
- Topics
- Immune Response and Inflammation (14 papers)Complement system in diseases (9 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Motomichi Torisu
109 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 1.1k
- Surgery 591
- Physiology 572
- Oncology 454
- Molecular Biology 432
Countries citing papers authored by Motomichi Torisu
This map shows the geographic impact of Motomichi Torisu'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 Motomichi Torisu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motomichi Torisu more than expected).
Fields of papers citing papers by Motomichi Torisu
This network shows the impact of papers produced by Motomichi Torisu. 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 Motomichi Torisu. The network helps show where Motomichi Torisu may publish in the future.
Co-authorship network of co-authors of Motomichi Torisu
This figure shows the co-authorship network connecting the top 25 collaborators of Motomichi Torisu. A scholar is included among the top collaborators of Motomichi Torisu 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 Motomichi Torisu. Motomichi Torisu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 5 | |
| 3 | 30 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 36 | |
| 8 | 53 | |
| 9 | 23 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 34 | |
| 15 | 7 | |
| 16 | Highly purified murine interleukin 5 (IL-5) stimulates eosinophil function and prolongs in vitro survival. IL-5 as an eosinophil chemotactic factor.breakdown → | 537 |
| 17 | 0 | |
| 18 | Ascaris and eosinophil. II. Isolation and characterization of eosinophil chemotactic factor and neutrophil chemotactic factor of parasite in Ascaris antigen. | 52 |
| 19 | 33 | |
| 20 | Surface structure of the human cardiac valve. A comparative study of normal and diseased valves. | 20 |
About Motomichi Torisu
Motomichi Torisu is a scholar working on Immunology, Immunology and Allergy and Hematology, having authored 116 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (14 papers), Complement system in diseases (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Immunology (1.1k citations), Immunology and Allergy (268 citations) and Rheumatology (432 citations). Motomichi Torisu has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mitsuo Katano, Jiro Tanaka, Takashi Morisaki, Kazunori Iwasaki, Seiji Mita, Yukinori Hayashi, Kiyoshi Takatsu, Satoshi Kitamura, Yuji Yamaguchi and Yasuo Sugama. Their work appears in journals such as Nature, The Journal of Experimental Medicine 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.