S Utsumi
Impact in
- Immunology top 10%
- Immune cells in cancer
- T-cell and B-cell Immunology
- Complement system in diseases
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Glycosylation and Glycoproteins Research 11
- RNA Interference and Gene Delivery 4
- Protein purification and stability 4
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- Monoclonal and Polyclonal Antibodies Research 17
- Co-authors
- Fred Karush (3 shared papers)Hiroto Shinomiya (8 shared papers)K Ohishi (2 shared papers)Yasutake Shimizu (1 shared paper)P. A. Charlwood (1 shared paper)Mariko Okada (4 shared papers)Makoto Kanoh (7 shared papers)Keiko Udaka (3 shared papers)
In The Last Decade
S Utsumi
33 papers receiving 810 citations
Peers
Comparison fields: 5 of 90
- Immunology 319
- Radiology, Nuclear Medicine and Imaging 324
- Immunology and Allergy 56
- Hematology 90
- Molecular Biology 538
Countries citing papers authored by S Utsumi
This map shows the geographic impact of S Utsumi'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 S Utsumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Utsumi more than expected).
Fields of papers citing papers by S Utsumi
This network shows the impact of papers produced by S Utsumi. 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 S Utsumi. The network helps show where S Utsumi may publish in the future.
Co-authors
The 25 scholars most cited alongside S Utsumi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 178 | |
| 2 | 1967 | 134 | |
| 3 | 1964 | 132 | |
| 4 | 1965 | 123 | |
| 5 | 1969 | 97 | |
| 6 | 1995 | 42 | |
| 7 | 1969 | 34 | |
| 8 | 1985 | 17 | |
| 9 | 1985 | 17 | |
| 10 | 1995 | 16 | |
| 11 | 1985 | 14 | |
| 12 | 1978 | 13 | |
| 13 | 1967 | 13 | |
| 14 | 1982 | 11 | |
| 15 | Inhibition of phagocytosis by erythrocyte membrane sialoglycoprotein on target liposomes. | 1983 | 11 |
| 16 | 1989 | 10 | |
| 17 | 1992 | 9 | |
| 18 | 1986 | 8 | |
| 19 | [Mechanism of immunological tolerance]. | 1970 | 8 |
| 20 | 1993 | 7 |
About S Utsumi
S Utsumi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Hematology and Physiology, having authored 33 papers that have together received 934 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Glycosylation and Glycoproteins Research (11 papers), Blood groups and transfusion (5 papers), Immune Response and Inflammation (5 papers), RNA Interference and Gene Delivery (4 papers), Protein purification and stability (4 papers), Complement system in diseases (4 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Immunology (319 citations), Radiology, Nuclear Medicine and Imaging (324 citations), Immunology and Allergy (56 citations), Hematology (90 citations) and Molecular Biology (538 citations). S Utsumi has collaborated with scholars based in Japan, Tanzania and Spain. Frequent co-authors include Fred Karush, Hiroto Shinomiya, K Ohishi, Yasutake Shimizu, P. A. Charlwood, Mariko Okada, Makoto Kanoh, Keiko Udaka, Akifumi Hagi and Shunro Sonoda. Their work appears in journals such as The Journal of Immunology, Biochemistry, Molecular Immunology, Biochemical and Biophysical Research Communications and Clinical & Experimental 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.