S Matsuda

550 citations
10 papers · 455 indexed · h-index 7
Topics
interferon and immune responses (3 papers)Cytokine Signaling Pathways and Interactions (3 papers)Microbial Metabolic Engineering and Bioproduction (2 papers)
Partner nations
United StatesJapan

In The Last Decade

S Matsuda

9 papers receiving 439 citations

Peers

S Matsuda
Comparison fields: 5 of 53
  • Molecular Biology 312
  • Immunology 97
  • Oncology 75
  • Biochemistry 60
  • Pharmacology 54
Replace K. Hirabayashi with:
K. Hirabayashi Japan
Seiji Tateyama Japan
James D. Liddil United States
Takao Matsuura Japan
Carol Mikulec United States
Etsuko Yasugi Japan
Sukdeb Mondal United States
Laurie MacKenzie United States
S Sorof United States
Azmi Yerlikaya Türkiye
S Matsuda relative to K. Hirabayashi Japan K. Hirabayashi's profile →
Citations per field
00.5×
K. Hirabayashi · 1×
Citations per year

Countries citing papers authored by S Matsuda

Since Specialization
Citations

This map shows the geographic impact of S Matsuda'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 Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Matsuda more than expected).

Fields of papers citing papers by S Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S Matsuda. 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 Matsuda. The network helps show where S Matsuda may publish in the future.

Co-authorship network of co-authors of S Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of S Matsuda. A scholar is included among the top collaborators of S Matsuda 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 S Matsuda. S Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1
[Effects of institutional therapy and factors which influence the prognosis].
1
2 90
3 191
4 110
5 28
6 17
7
Surgical management of intracavitary cardiac tumors. A review of fifteen patients and current status in Japan.
7
8 7
9
Preparation of infusion for total parenteral nutrition.
3
10
[Histochemical studies on the effect of glycyrrhizin on corticoid metabolism].
1

About S Matsuda

S Matsuda is a scholar working on Immunology, Biochemistry and Pharmacology, having authored 10 papers that have together received 455 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Biochemistry (60 citations), Biochemistry (34 citations) and Immunology (97 citations). S Matsuda has collaborated with scholars based in United States and Japan. Frequent co-authors include Bonnie Bartel, E. J. Corey, Genji Kawano, Y. Mitsui, Toshiya Senda, Hirohiko M. Shimizu, Toru Shimazu, Kazuo Nakamura, Susumu Itoh and Hiroshi Mizuno. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

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.

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