Rommie E. Amaro
Impact in
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Protein Structure and Dynamics 79
- RNA and protein synthesis mechanisms 27
- Receptor Mechanisms and Signaling 12
-
- Computational Drug Discovery Methods 51
- Co-authors
- J. Andrew McCammon (31 shared papers)Jacob D. Durrant (19 shared papers)Lane Votapka (23 shared papers)Özlem Demir (37 shared papers)Lorenzo Casalino (20 shared papers)Robert V. Swift (18 shared papers)Christopher T. Lee (12 shared papers)Zied Gaieb (12 shared papers)
- Journals
- Biophysical Journal (25 papers)Journal of Chemical Information and Modeling (20 papers)Journal of Chemical Theory and Computation (12 papers)Biochemistry (10 papers)ACS Central Science (8 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Rommie E. Amaro
217 papers receiving 9.4k citations
Rommie E. Amaro's Hit Papers
Peers
Comparison fields: 5 of 172
- Computational Theory and Mathematics 2.3k
- Infectious Diseases 1.7k
- Molecular Biology 6.3k
- Virology 219
- Structural Biology 67
Countries citing papers authored by Rommie E. Amaro
This map shows the geographic impact of Rommie E. Amaro'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 Rommie E. Amaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rommie E. Amaro more than expected).
Fields of papers citing papers by Rommie E. Amaro
This network shows the impact of papers produced by Rommie E. Amaro. 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 Rommie E. Amaro. The network helps show where Rommie E. Amaro may publish in the future.
Co-authors
The 25 scholars most cited alongside Rommie E. Amaro, 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 226 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Beyond Shielding: The Roles of Glycans in the SARS-CoV-2 Spike Protein Hit paper breakdown → | 2020 | 634 |
| 2 | Ensemble Docking in Drug Discovery Hit paper breakdown → | 2018 | 347 |
| 3 | 2008 | 269 | |
| 4 | A glycan gate controls opening of the SARS-CoV-2 spike protein Hit paper breakdown → | 2021 | 265 |
| 5 | SARS-CoV-2 escape from a highly neutralizing COVID-19 convalescent plasma Hit paper breakdown → | 2021 | 252 |
| 6 | 2014 | 195 | |
| 7 | 2016 | 194 | |
| 8 | 2016 | 192 | |
| 9 | 2017 | 191 | |
| 10 | 2013 | 186 | |
| 11 | 2016 | 181 | |
| 12 | 2016 | 172 | |
| 13 | 2008 | 168 | |
| 14 | 2017 | 152 | |
| 15 | 2014 | 147 | |
| 16 | 2021 | 145 | |
| 17 | 2012 | 145 | |
| 18 | 2007 | 145 | |
| 19 | 2018 | 136 | |
| 20 | 2011 | 121 |
About Rommie E. Amaro
Rommie E. Amaro is a scholar working on Molecular Biology, Computational Theory and Mathematics, Epidemiology, Infectious Diseases and Materials Chemistry, having authored 226 papers that have together received 9.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (79 papers), Computational Drug Discovery Methods (51 papers), RNA and protein synthesis mechanisms (27 papers), Influenza Virus Research Studies (26 papers), SARS-CoV-2 and COVID-19 Research (19 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Enzyme Structure and Function (17 papers) and Receptor Mechanisms and Signaling (12 papers). The work is most often cited by research in Computational Theory and Mathematics (2.3k citations), Infectious Diseases (1.7k citations), Molecular Biology (6.3k citations), Virology (219 citations) and Structural Biology (67 citations). Rommie E. Amaro has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include J. Andrew McCammon, Jacob D. Durrant, Lane Votapka, Özlem Demir, Lorenzo Casalino, Robert V. Swift, Christopher T. Lee, Zied Gaieb, Zaida Luthey‐Schulten and Victoria A. Feher. Their work appears in journals such as Biophysical Journal, Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, Biochemistry and ACS Central Science.
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.