Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Highly purified murine interleukin 5 (IL-5) stimulates eosinophil function and prolongs in vitro survival. IL-5 as an eosinophil chemotactic factor.
1988537 citationsYuji Yamaguchi, Yukinori Hayashi et al.The Journal of Experimental Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Motomichi Torisu
Since
Specialization
Citations
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.
Yamaguchi, Yuji, Yukinori Hayashi, Yasuo Sugama, et al.. (1988). Highly purified murine interleukin 5 (IL-5) stimulates eosinophil function and prolongs in vitro survival. IL-5 as an eosinophil chemotactic factor.. The Journal of Experimental Medicine. 167(5). 1737–1742.537 indexed citations breakdown →
Katano, Mitsuo, et al.. (1980). Immunogenetic studies of familial large bowel cancer.. PubMed. 71(5). 583–8.7 indexed citations
14.
Tanaka, Jirō, Toru Baba, & Motomichi Torisu. (1979). Ascaris and Eosinophil. The Journal of Immunology. 122(1). 302–308.33 indexed citations
15.
Tanaka, Jiro, Toru Baba, & Motomichi Torisu. (1979). Ascaris and eosinophil. II. Isolation and characterization of eosinophil chemotactic factor and neutrophil chemotactic factor of parasite in Ascaris antigen.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 122(1). 302–8.52 indexed citations
16.
Tanaka, Jiro, et al.. (1979). Studies on the immunopotentiating effects of a streptococcal preparation, OK-432. I. Enhancement of T cell-mediated immune responses of mice.. PubMed. 37(1). 98–105.36 indexed citations
17.
Harasaki, H, et al.. (1978). Surface structure of the human cardiac valve. A comparative study of normal and diseased valves.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 19(3). 281–90.20 indexed citations
Torisu, Motomichi, et al.. (1968). The effect of C'3 inactivator and Cu-chlorophyllin on the Prausnitz-Küstner reaction.. PubMed. 101(5). 1095–8.2 indexed citations
20.
Torisu, Motomichi, et al.. (1967). C'3c deficient human sera with a beta-1c precipitin line.. PubMed. 99(3). 629–36.7 indexed citations
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.