Mitsutoshi Senoh
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
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- Aquaculture disease management and microbiota
Papers in
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- Vibrio bacteria research studies 12
- Escherichia coli research studies 5
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- Clostridium difficile and Clostridium perfringens research 14
- Viral gastroenteritis research and epidemiology 6
- Co-authors
- Takashi Hamabata (6 shared papers)Yoshifumi Takeda (4 shared papers)Thandavarayan Ramamurthy (4 shared papers)Shin‐ichi Miyoshi (3 shared papers)G. Balakrish Nair (3 shared papers)Rita R. Colwell (2 shared papers)Haru Kato (12 shared papers)Sumió Shinoda (3 shared papers)
- Journals
- Microbial Pathogenesis (3 papers)Journal of Clinical Microbiology (2 papers)Scientific Reports (1 paper)Gene (1 paper)Biologicals (1 paper)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Mitsutoshi Senoh
30 papers receiving 428 citations
Peers
Comparison fields: 5 of 55
- Endocrinology 277
- Immunology 125
- Molecular Medicine 30
- Infectious Diseases 91
- Food Science 83
Countries citing papers authored by Mitsutoshi Senoh
This map shows the geographic impact of Mitsutoshi Senoh'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 Mitsutoshi Senoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsutoshi Senoh more than expected).
Fields of papers citing papers by Mitsutoshi Senoh
This network shows the impact of papers produced by Mitsutoshi Senoh. 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 Mitsutoshi Senoh. The network helps show where Mitsutoshi Senoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsutoshi Senoh, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 70 | |
| 2 | 2012 | 52 | |
| 3 | 2010 | 51 | |
| 4 | 2005 | 36 | |
| 5 | 2013 | 31 | |
| 6 | 2014 | 20 | |
| 7 | 2013 | 18 | |
| 8 | 2015 | 16 | |
| 9 | 2011 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2013 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2007 | 9 | |
| 16 | 2015 | 8 | |
| 17 | 2018 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 6 |
About Mitsutoshi Senoh
Mitsutoshi Senoh is a scholar working on Endocrinology, Infectious Diseases, Epidemiology, Immunology and Neurology, having authored 31 papers that have together received 439 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (14 papers), Vibrio bacteria research studies (12 papers), Microscopic Colitis (9 papers), Viral gastroenteritis research and epidemiology (6 papers), Aquaculture disease management and microbiota (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Escherichia coli research studies (5 papers) and Gastrointestinal motility and disorders (4 papers). The work is most often cited by research in Endocrinology (277 citations), Immunology (125 citations), Molecular Medicine (30 citations), Infectious Diseases (91 citations) and Food Science (83 citations). Mitsutoshi Senoh has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Takashi Hamabata, Yoshifumi Takeda, Thandavarayan Ramamurthy, Shin‐ichi Miyoshi, G. Balakrish Nair, Rita R. Colwell, Haru Kato, Sumió Shinoda, G. Balakrish Nair and Youhei Takeda. Their work appears in journals such as Microbial Pathogenesis, Journal of Clinical Microbiology, Scientific Reports, Gene and Biologicals.
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.