Tetsuya Matsumoto

7.9k citations
271 papers · 5.7k indexed · h-index 39

Tetsuya Matsumoto

260 papers receiving 5.6k citations

Peers

Tetsuya Matsumoto
Comparison fields: 5 of 140
  • Molecular Medicine 742
  • Endocrinology 540
  • Microbiology 551
  • Immunology 1.4k
  • Applied Microbiology and Biotechnology 128
Replace Eileen M. Burd with:
Eileen M. Burd United States
Teruo Kirikae Japan
Carles Úbeda Spain
Bengt Wretlind Sweden
Anthony Coates United Kingdom
Kazuhiro Tateda Japan
Teruo Kirikae Japan
Gerald L. Mandell United States
Francisco García Soriano Spain
Jeanine P. Wiener-Kronish United States
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Citations per year

Countries citing papers authored by Tetsuya Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tetsuya Matsumoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tetsuya Matsumoto Line = papers co-authored together Tetsuya Matsumoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20241
5 20213
6 202130
7 201925
8 201944
9 20189
10 201779
11 201726
12 20152
13 20127
14 201124
15 20107
16 200425
17 20041
18 200050
19 19963
20
Studies on Manufacturing of Tofuyo in Okinawa, Part VIII. Changes in Chemical Components of Tofuyo Prepared by Monascus Fungus During Fermentation.:Studies on Manufacturing of Tofuyo in Okinawa, Part VIII
19936

About Tetsuya Matsumoto

Tetsuya Matsumoto is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 271 papers that have together received 5.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (52 papers), Antimicrobial Resistance in Staphylococcus (31 papers), Immune Response and Inflammation (29 papers), Bacterial biofilms and quorum sensing (26 papers), Pneumonia and Respiratory Infections (26 papers), Antibiotics Pharmacokinetics and Efficacy (23 papers), Cardiac Imaging and Diagnostics (22 papers) and Bacterial Identification and Susceptibility Testing (19 papers). The work is most often cited by research in Molecular Medicine (742 citations), Endocrinology (540 citations) and Microbiology (551 citations). Tetsuya Matsumoto has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Kazuhiro Tateda, Keizo Yamaguchi, K Yamaguchi, Yoshikazu Ishii, Nobuhiko Furuya, S Miyazaki, Minoru Horie, Itaru Nakamura, Shuichi Miyazaki and Naofumi Mukaida. Their work appears in journals such as Journal of Medical Microbiology, Antimicrobial Agents and Chemotherapy, Annals of Nuclear Medicine, Journal of Cardiovascular Pharmacology and International Journal of Infectious Diseases.

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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