S. Roy Kimura
- Virology top 10%
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- Protein Structure and Dynamics 10
- Metabolomics and Mass Spectrometry Studies 2
- Receptor Mechanisms and Signaling 2
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- Enzyme Structure and Function 4
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- Nuclear physics research studies 5
- Quantum Chromodynamics and Particle Interactions 5
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- Mass Spectrometry Techniques and Applications 3
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- Spectroscopy and Quantum Chemical Studies 2
- Co-authors
- Sándor VajdaCarlos J. CamachoCharles DeLisiDavid GatchellRichard C. BrowerDavid R. LangleyAndrew J. TebbenAngelo D. Favia
- Journals
- Few-Body Systems (4 papers)Proteins Structure Function and Bioinformatics (3 papers)The Journal of Chemical Physics (2 papers)
- Partner nations
- United StatesJapanSpain
In The Last Decade
S. Roy Kimura
25 papers receiving 591 citations
Peers
Comparison fields: 5 of 98
- Computational Theory and Mathematics 148
- Virology 42
- Molecular Biology 443
- Materials Chemistry 164
- Infectious Diseases 48
Countries citing papers authored by S. Roy Kimura
This map shows the geographic impact of S. Roy Kimura'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 S. Roy Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Roy Kimura more than expected).
Fields of papers citing papers by S. Roy Kimura
This network shows the impact of papers produced by S. Roy Kimura. 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 S. Roy Kimura. The network helps show where S. Roy Kimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. Roy Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 1 | |
| 2 | 2014 | 5 | |
| 3 | 2014 | 39 | |
| 4 | 2014 | 46 | |
| 5 | 2014 | 0 | |
| 6 | 2013 | 1 | |
| 7 | 2012 | 2 | |
| 8 | 2012 | 29 | |
| 9 | 2010 | 2 | |
| 10 | 2008 | 36 | |
| 11 | 2006 | 13 | |
| 12 | 2002 | 2 | |
| 13 | 2001 | 4 | |
| 14 | 2001 | 75 | |
| 15 | 2000 | 100 | |
| 16 | 2000 | 123 | |
| 17 | 1998 | 3 | |
| 18 | 1998 | 7 | |
| 19 | 1989 | 3 | |
| 20 | 1976 | 3 |
About S. Roy Kimura
S. Roy Kimura is a scholar working on Nuclear and High Energy Physics, Spectroscopy and Virology, having authored 26 papers that have together received 601 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Nuclear physics research studies (5 papers), Quantum Chromodynamics and Particle Interactions (5 papers), Enzyme Structure and Function (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Computational Theory and Mathematics (148 citations), Virology (42 citations) and Molecular Biology (443 citations). S. Roy Kimura has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Sándor Vajda, Carlos J. Camacho, Charles DeLisi, David Gatchell, Richard C. Brower, David R. Langley, Andrew J. Tebben, Angelo D. Favia, Woody Sherman and Anatoly M. Ruvinsky. Their work appears in journals such as Few-Body Systems, Proteins Structure Function and Bioinformatics, The Journal of Chemical Physics, Biophysical Journal and Progress in Nuclear Energy.
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.