Surl-Hee Ahn
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Protein Structure and Dynamics 10
- DNA and Nucleic Acid Chemistry 3
-
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Rommie E. Amaro (8 shared papers)J. Andrew McCammon (7 shared papers)Eric Darve (4 shared papers)Lorenzo Casalino (4 shared papers)Fiona L. Kearns (2 shared papers)Jason S. McLellan (2 shared papers)Ghoncheh Mashayekhi (1 shared paper)Lillian T. Chong (2 shared papers)
- Journals
- The Journal of Chemical Physics (5 papers)Journal of Chemical Information and Modeling (3 papers)Journal of Chemical Theory and Computation (3 papers)Biophysical Journal (3 papers)The Journal of Physical Chemistry B (2 papers)
- Partner nations
- United StatesRussiaIndia
In The Last Decade
Surl-Hee Ahn
22 papers receiving 446 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Infectious Diseases 170
- Structural Biology 7
- Molecular Biology 275
- Computational Theory and Mathematics 56
- Animal Science and Zoology 21
Countries citing papers authored by Surl-Hee Ahn
This map shows the geographic impact of Surl-Hee Ahn'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 Surl-Hee Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surl-Hee Ahn more than expected).
Fields of papers citing papers by Surl-Hee Ahn
This network shows the impact of papers produced by Surl-Hee Ahn. 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 Surl-Hee Ahn. The network helps show where Surl-Hee Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Surl-Hee Ahn, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A glycan gate controls opening of the SARS-CoV-2 spike protein Hit paper breakdown → | 2021 | 251 |
| 2 | 2019 | 38 | |
| 3 | 2020 | 22 | |
| 4 | 2021 | 22 | |
| 5 | 2019 | 20 | |
| 6 | 2023 | 18 | |
| 7 | 2019 | 12 | |
| 8 | 2024 | 12 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2020 | 1 |
About Surl-Hee Ahn
Surl-Hee Ahn is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 24 papers that have together received 449 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (3 papers), Bacteriophages and microbial interactions (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Machine Learning in Materials Science (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (170 citations), Structural Biology (7 citations), Molecular Biology (275 citations), Computational Theory and Mathematics (56 citations) and Animal Science and Zoology (21 citations). Surl-Hee Ahn has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Rommie E. Amaro, J. Andrew McCammon, Eric Darve, Lorenzo Casalino, Fiona L. Kearns, Jason S. McLellan, Ghoncheh Mashayekhi, Lillian T. Chong, Joachim Frank and Terra Sztain. Their work appears in journals such as The Journal of Chemical Physics, Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, Biophysical Journal and The Journal of Physical Chemistry B.
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.