Satoshi Nishida
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
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- Bacterial biofilms and quorum sensing 5
-
- Antibiotic Resistance in Bacteria 14
- Co-authors
- Kazuhisa Sekimizu (14 shared papers)Yasuo Ono (17 shared papers)Kevin B. Wood (2 shared papers)Philippe Cluzel (2 shared papers)Shohko Tsunawaki (4 shared papers)Lucia S. Yoshida (4 shared papers)Toshihiro Kobayashi (3 shared papers)Takashi Shimoyama (3 shared papers)
- Journals
- Drug Discoveries & Therapeutics (5 papers)The Journal of Physical Chemistry A (4 papers)Japanese Journal of Applied Physics (3 papers)Frontiers in Microbiology (2 papers)Journal of Infection and Public Health (2 papers)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Satoshi Nishida
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Molecular Medicine 194
- Endocrinology 87
- Infectious Diseases 193
- Microbiology 65
- Genetics 262
Countries citing papers authored by Satoshi Nishida
This map shows the geographic impact of Satoshi Nishida'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 Satoshi Nishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Nishida more than expected).
Fields of papers citing papers by Satoshi Nishida
This network shows the impact of papers produced by Satoshi Nishida. 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 Satoshi Nishida. The network helps show where Satoshi Nishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Nishida, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 119 | |
| 2 | 2002 | 110 | |
| 3 | 2012 | 106 | |
| 4 | 2008 | 101 | |
| 5 | 1997 | 56 | |
| 6 | 2014 | 45 | |
| 7 | 2004 | 44 | |
| 8 | 2020 | 41 | |
| 9 | 2017 | 39 | |
| 10 | 2018 | 37 | |
| 11 | 2016 | 33 | |
| 12 | 2004 | 32 | |
| 13 | 2016 | 29 | |
| 14 | 2003 | 26 | |
| 15 | 2010 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2005 | 25 | |
| 18 | 2016 | 24 | |
| 19 | 2017 | 23 | |
| 20 | 2007 | 23 |
About Satoshi Nishida
Satoshi Nishida is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Immunology and Atmospheric Science, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Bacterial Genetics and Biotechnology (10 papers), Atmospheric chemistry and aerosols (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Atmospheric Ozone and Climate (6 papers), Probiotics and Fermented Foods (6 papers), Vibrio bacteria research studies (5 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Molecular Medicine (194 citations), Endocrinology (87 citations), Infectious Diseases (193 citations), Microbiology (65 citations) and Genetics (262 citations). Satoshi Nishida has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Kazuhisa Sekimizu, Yasuo Ono, Kevin B. Wood, Philippe Cluzel, Shohko Tsunawaki, Lucia S. Yoshida, Toshihiro Kobayashi, Takashi Shimoyama, Tsutomu Katayama and Eduardo D. Sontag. Their work appears in journals such as Drug Discoveries & Therapeutics, The Journal of Physical Chemistry A, Japanese Journal of Applied Physics, Frontiers in Microbiology and Journal of Infection and Public Health.
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.