Mitsuhiro Nishimura
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
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- Anesthesia and Sedative Agents
Papers in
- Epidemiology 21
- Herpesvirus Infections and Treatments 16
- Cytomegalovirus and herpesvirus research 16
- Co-authors
- Yasuko Mori (29 shared papers)Kohji Sato (5 shared papers)Shoichi Shimada (5 shared papers)K. Sato (1 shared paper)Masaya Tohyama (4 shared papers)Hironori Murakami (2 shared papers)Jun Arii (13 shared papers)Patrick D. Schloss (2 shared papers)
In The Last Decade
Mitsuhiro Nishimura
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Biological Psychiatry 64
- Anesthesiology and Pain Medicine 79
- Developmental Neuroscience 57
- Cellular and Molecular Neuroscience 214
- Infectious Diseases 202
Countries citing papers authored by Mitsuhiro Nishimura
This map shows the geographic impact of Mitsuhiro Nishimura'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 Mitsuhiro Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Nishimura more than expected).
Fields of papers citing papers by Mitsuhiro Nishimura
This network shows the impact of papers produced by Mitsuhiro Nishimura. 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 Mitsuhiro Nishimura. The network helps show where Mitsuhiro Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuhiro Nishimura, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 98 | |
| 2 | 2021 | 74 | |
| 3 | 1993 | 69 | |
| 4 | 2013 | 63 | |
| 5 | 1999 | 57 | |
| 6 | 1997 | 52 | |
| 7 | 1990 | 44 | |
| 8 | 2013 | 42 | |
| 9 | 1998 | 39 | |
| 10 | 2022 | 38 | |
| 11 | 2004 | 34 | |
| 12 | 2021 | 25 | |
| 13 | 2022 | 24 | |
| 14 | 1985 | 20 | |
| 15 | 2019 | 18 | |
| 16 | 1996 | 18 | |
| 17 | 1989 | 18 | |
| 18 | In vivo transfer of a beta 2-adrenergic receptor gene into the pressure-overloaded rat heart enhances cardiac response to beta-adrenergic agonist. | 1998 | 17 |
| 19 | 2010 | 16 | |
| 20 | 1997 | 15 |
About Mitsuhiro Nishimura
Mitsuhiro Nishimura is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Oncology and Surgery, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (16 papers), Cytomegalovirus and herpesvirus research (16 papers), COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Viral-associated cancers and disorders (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Blood Pressure and Hypertension Studies (5 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Biological Psychiatry (64 citations), Anesthesiology and Pain Medicine (79 citations), Developmental Neuroscience (57 citations), Cellular and Molecular Neuroscience (214 citations) and Infectious Diseases (202 citations). Mitsuhiro Nishimura has collaborated with scholars based in Japan, Indonesia and Thailand. Frequent co-authors include Yasuko Mori, Kohji Sato, Shoichi Shimada, K. Sato, Masaya Tohyama, Hironori Murakami, Jun Arii, Patrick D. Schloss, Koichi Furukawa and Tomoya Okada. Their work appears in journals such as Journal of Virology, American Journal of Hypertension, PLoS Pathogens, Scientific Reports and The 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.