Chris Chipot
Impact in
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- Computational Drug Discovery Methods
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Protein Structure and Dynamics 5
- ATP Synthase and ATPases Research 3
- RNA and protein synthesis mechanisms 2
- Mitochondrial Function and Pathology 2
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- François Dehez (4 shared papers)Benoı̂t Roux (2 shared papers)Diane L. Lynch (3 shared papers)James C. Gumbart (4 shared papers)Ànna Pavlova (3 shared papers)Eva Pebay‐Peyroula (2 shared papers)Stéphanie Ravaud (2 shared papers)Jerry M. Parks (2 shared papers)
- Journals
- The Journal of Physical Chemistry Letters (2 papers)Scientific Reports (1 paper)Chemical Science (1 paper)Molecular Membrane Biology (1 paper)Frontiers in Physiology (1 paper)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Chris Chipot
10 papers receiving 248 citations
Peers
Comparison fields: 5 of 66
- Computational Theory and Mathematics 86
- Infectious Diseases 55
- Clinical Biochemistry 20
- Molecular Biology 177
- Structural Biology 3
Countries citing papers authored by Chris Chipot
This map shows the geographic impact of Chris Chipot'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 Chris Chipot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Chipot more than expected).
Fields of papers citing papers by Chris Chipot
This network shows the impact of papers produced by Chris Chipot. 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 Chris Chipot. The network helps show where Chris Chipot may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Chipot, 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 | 2020 | 49 | |
| 2 | 2012 | 47 | |
| 3 | 2021 | 40 | |
| 4 | 2019 | 35 | |
| 5 | 2021 | 28 | |
| 6 | 2018 | 17 | |
| 7 | 2019 | 12 | |
| 8 | 2012 | 11 | |
| 9 | 2019 | 7 | |
| 10 | 2018 | 2 |
About Chris Chipot
Chris Chipot is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Epidemiology and Hepatology, having authored 10 papers that have together received 248 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (3 papers), ATP Synthase and ATPases Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (86 citations), Infectious Diseases (55 citations), Clinical Biochemistry (20 citations), Molecular Biology (177 citations) and Structural Biology (3 citations). Chris Chipot has collaborated with scholars based in France, United States and Italy. Frequent co-authors include François Dehez, Benoı̂t Roux, Diane L. Lynch, James C. Gumbart, Ànna Pavlova, Eva Pebay‐Peyroula, Stéphanie Ravaud, Jerry M. Parks, Atanu Acharya and Sunhwan Jo. Their work appears in journals such as The Journal of Physical Chemistry Letters, Scientific Reports, Chemical Science, Molecular Membrane Biology and Frontiers in Physiology.
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.