Kensuke Shima
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Enterobacteriaceae and Cronobacter Research
- Microbiology top 2%
- Reproductive tract infections research
Papers in
- Microbiology 19
- Reproductive tract infections research 19
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- Radical Photochemical Reactions 8
- Co-authors
- Jan Rupp (26 shared papers)Shinji Yamasaki (13 shared papers)Masahiro Asakura (9 shared papers)Masahide Yasuda (14 shared papers)Werner Solbach (7 shared papers)Gregor Kuhlenbäumer (1 shared paper)Márta Szaszák (5 shared papers)Atsushi Hinenoya (6 shared papers)
- Journals
- Bulletin of the Chemical Society of Japan (6 papers)Chemistry Letters (3 papers)Frontiers in Microbiology (2 papers)mSphere (2 papers)Microbes and Infection (2 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Kensuke Shima
57 papers receiving 917 citations
Peers
Comparison fields: 5 of 99
- Endocrinology 258
- Microbiology 189
- Molecular Medicine 60
- Infectious Diseases 176
- Biological Psychiatry 19
Countries citing papers authored by Kensuke Shima
This map shows the geographic impact of Kensuke Shima'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 Kensuke Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kensuke Shima more than expected).
Fields of papers citing papers by Kensuke Shima
This network shows the impact of papers produced by Kensuke Shima. 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 Kensuke Shima. The network helps show where Kensuke Shima may publish in the future.
Co-authors
The 25 scholars most cited alongside Kensuke Shima, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 52 | |
| 2 | 2002 | 51 | |
| 3 | 2009 | 46 | |
| 4 | 2011 | 46 | |
| 5 | 2018 | 46 | |
| 6 | 2007 | 43 | |
| 7 | 2014 | 42 | |
| 8 | 2004 | 42 | |
| 9 | 2011 | 39 | |
| 10 | 1989 | 38 | |
| 11 | 2016 | 31 | |
| 12 | 2018 | 28 | |
| 13 | 2010 | 28 | |
| 14 | 2015 | 27 | |
| 15 | 2011 | 26 | |
| 16 | 2011 | 21 | |
| 17 | 2004 | 19 | |
| 18 | 1982 | 18 | |
| 19 | 2018 | 18 | |
| 20 | 2020 | 16 |
About Kensuke Shima
Kensuke Shima is a scholar working on Microbiology, Organic Chemistry, Infectious Diseases, Endocrinology and Molecular Biology, having authored 59 papers that have together received 935 indexed citations. Recurring topics across this work include Reproductive tract infections research (19 papers), Escherichia coli research studies (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Urinary Tract Infections Management (9 papers), Radical Photochemical Reactions (8 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Bacteriophages and microbial interactions (7 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Endocrinology (258 citations), Microbiology (189 citations), Molecular Medicine (60 citations), Infectious Diseases (176 citations) and Biological Psychiatry (19 citations). Kensuke Shima has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Jan Rupp, Shinji Yamasaki, Masahiro Asakura, Masahide Yasuda, Werner Solbach, Gregor Kuhlenbäumer, Márta Szaszák, Atsushi Hinenoya, Matthias Klinger and Shah M. Faruque. Their work appears in journals such as Bulletin of the Chemical Society of Japan, Chemistry Letters, Frontiers in Microbiology, mSphere and Microbes and Infection.
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.