Soshi Seike
Impact in
- Infectious Diseases top 10%
- Clostridium difficile and Clostridium perfringens research
- Microbiology top 10%
- Bacterial Infections and Vaccines
Papers in
-
- Clostridium difficile and Clostridium perfringens research 13
- Antimicrobial Resistance in Staphylococcus 5
- Immunology 12
- Toxin Mechanisms and Immunotoxins 6
- Immune Response and Inflammation 3
- Aquaculture disease management and microbiota 3
- Co-authors
- Masahiro Nagahama (18 shared papers)Keiko Kobayashi (15 shared papers)Masaya Takehara (16 shared papers)Teruhisa Takagishi (11 shared papers)Kazuaki Miyamoto (8 shared papers)Eizo Takahashi (4 shared papers)Hidetomo Kobayashi (5 shared papers)Jun Sakùrai (3 shared papers)
In The Last Decade
Soshi Seike
23 papers receiving 409 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 173
- Microbiology 46
- Endocrinology 37
- Immunology 107
- Physiology 18
Countries citing papers authored by Soshi Seike
This map shows the geographic impact of Soshi Seike'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 Soshi Seike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soshi Seike more than expected).
Fields of papers citing papers by Soshi Seike
This network shows the impact of papers produced by Soshi Seike. 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 Soshi Seike. The network helps show where Soshi Seike may publish in the future.
Co-authors
The 25 scholars most cited alongside Soshi Seike, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2012 | 49 | |
| 3 | 2016 | 42 | |
| 4 | 2013 | 35 | |
| 5 | 2015 | 27 | |
| 6 | 2019 | 26 | |
| 7 | 2017 | 24 | |
| 8 | 2017 | 22 | |
| 9 | 2016 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2016 | 16 | |
| 12 | 2016 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2022 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2017 | 3 |
About Soshi Seike
Soshi Seike is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Public Health, Environmental and Occupational Health and Neurology, having authored 23 papers that have together received 412 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (13 papers), Toxin Mechanisms and Immunotoxins (6 papers), Streptococcal Infections and Treatments (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Immune Response and Inflammation (3 papers), Vibrio bacteria research studies (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Infectious Diseases (173 citations), Microbiology (46 citations), Endocrinology (37 citations), Immunology (107 citations) and Physiology (18 citations). Soshi Seike has collaborated with scholars based in Japan and India. Frequent co-authors include Masahiro Nagahama, Keiko Kobayashi, Masaya Takehara, Teruhisa Takagishi, Kazuaki Miyamoto, Eizo Takahashi, Hidetomo Kobayashi, Jun Sakùrai, Keinosuke Okamoto and Hiroyasu Yamanaka. Their work appears in journals such as Toxins, PLoS ONE, Scientific Reports, Biochimica et Biophysica Acta (BBA) - Biomembranes and Infection and Immunity.
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.