Kevin Hauser
Impact in
- Molecular Biology top 0.5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Receptor Mechanisms and Signaling
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 3
- DNA and Nucleic Acid Chemistry 3
- Diffusion and Search Dynamics 2
-
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Carlos Simmerling (5 shared papers)Lauren Wickstrom (1 shared paper)Koushik Kasavajhala (1 shared paper)Gyorgy Snell (2 shared papers)Matthew McCallum (2 shared papers)David Veesler (2 shared papers)Josh R. Dillen (2 shared papers)Davide Corti (2 shared papers)
- Journals
- Journal of Chemical Theory and Computation (2 papers)Journal of Molecular Biology (2 papers)Science (2 papers)Chemical Physics Letters (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Kevin Hauser
13 papers receiving 8.9k citations
Kevin Hauser's Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 6.0k
- Computational Theory and Mathematics 1.3k
- Infectious Diseases 998
- Toxicology 114
- Molecular Medicine 146
Countries citing papers authored by Kevin Hauser
This map shows the geographic impact of Kevin Hauser'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 Kevin Hauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Hauser more than expected).
Fields of papers citing papers by Kevin Hauser
This network shows the impact of papers produced by Kevin Hauser. 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 Kevin Hauser. The network helps show where Kevin Hauser may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Hauser, 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 | ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB Hit paper breakdown → | 2015 | 8221 |
| 2 | Structural basis of SARS-CoV-2 Omicron immune evasion and receptor engagement Hit paper breakdown → | 2022 | 322 |
| 3 | Shifting mutational constraints in the SARS-CoV-2 receptor-binding domain during viral evolution Hit paper breakdown → | 2022 | 171 |
| 4 | 2019 | 72 | |
| 5 | 2018 | 70 | |
| 6 | 2018 | 42 | |
| 7 | 1974 | 19 | |
| 8 | 2023 | 13 | |
| 9 | 2015 | 9 | |
| 10 | 2017 | 9 | |
| 11 | 2015 | 2 | |
| 12 | 2015 | 1 | |
| 13 | 2022 | 1 |
About Kevin Hauser
Kevin Hauser is a scholar working on Molecular Biology, Infectious Diseases, Atomic and Molecular Physics, and Optics, Materials Chemistry and Genetics, having authored 13 papers that have together received 9.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (3 papers), DNA and Nucleic Acid Chemistry (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Enzyme Structure and Function (2 papers), Diffusion and Search Dynamics (2 papers), Molecular spectroscopy and chirality (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Molecular Biology (6.0k citations), Computational Theory and Mathematics (1.3k citations), Infectious Diseases (998 citations), Toxicology (114 citations) and Molecular Medicine (146 citations). Kevin Hauser has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Carlos Simmerling, Lauren Wickstrom, Koushik Kasavajhala, Gyorgy Snell, Matthew McCallum, David Veesler, Josh R. Dillen, Davide Corti, Laura E. Rosen and Alexandra C. Walls. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Molecular Biology, Science, Chemical Physics Letters and Journal of Chemical Information and Modeling.
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.