S Matsuki
Impact in
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- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- Glycosylation and Glycoproteins Research
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- Neuropeptides and Animal Physiology
Papers in
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- Advanced biosensing and bioanalysis techniques 1
- Polyamine Metabolism and Applications 1
- Protist diversity and phylogeny 1
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- Immune Response and Inflammation 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- Reproductive System and Pregnancy 1
- Co-authors
- Keiko Matsubara (2 shared papers)Eiko Ohtsuka (2 shared papers)Morio Ikehara (1 shared paper)Yuichiro Takahashi (1 shared paper)M Ikehara (1 shared paper)Kikuya Kato (1 shared paper)T. Wakabayashi (1 shared paper)Yasuo Takahashi (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Biotechnology and Applied Biochemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)Blood (1 paper)PubMed (3 papers)
- Partner nations
- Japan
In The Last Decade
S Matsuki
8 papers receiving 678 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 454
- Cellular and Molecular Neuroscience 111
- Immunology 121
- Biotechnology 43
- Hematology 52
Countries citing papers authored by S Matsuki
This map shows the geographic impact of S Matsuki'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 Matsuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Matsuki more than expected).
Fields of papers citing papers by S Matsuki
This network shows the impact of papers produced by S Matsuki. 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 Matsuki. The network helps show where S Matsuki may publish in the future.
Co-authors
The 25 scholars most cited alongside S Matsuki, 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 | 1985 | 282 | |
| 2 | 1985 | 201 | |
| 3 | Pharmacokinetics of recombinant human granulocyte colony-stimulating factor conjugated to polyethylene glycol in rats. | 1991 | 79 |
| 4 | 1995 | 70 | |
| 5 | 1990 | 47 | |
| 6 | Structural analysis of the receptors for granulocyte colony-stimulating factor on neutrophils. | 1990 | 33 |
| 7 | 1990 | 7 | |
| 8 | 1990 | 3 |
About S Matsuki
S Matsuki is a scholar working on Molecular Biology, Immunology, Physiology, Cellular and Molecular Neuroscience and Ecology, having authored 8 papers that have together received 722 indexed citations. Recurring topics across this work include Immune Response and Inflammation (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Polyamine Metabolism and Applications (1 paper), Protist diversity and phylogeny (1 paper), Blood disorders and treatments (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Molecular Biology (454 citations), Cellular and Molecular Neuroscience (111 citations), Immunology (121 citations), Biotechnology (43 citations) and Hematology (52 citations). S Matsuki has collaborated with scholars based in Japan. Frequent co-authors include Keiko Matsubara, Eiko Ohtsuka, Morio Ikehara, Yuichiro Takahashi, M Ikehara, Kikuya Kato, T. Wakabayashi, Yasuo Takahashi, Yoshihide Hayashizaki and Hideji Tanaka. Their work appears in journals such as Journal of Biological Chemistry, Biotechnology and Applied Biochemistry, Proceedings of the National Academy of Sciences, Blood and PubMed.
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.