Surl-Hee Ahn

23 papers receiving 471 citations

Surl-Hee Ahn's Hit Papers

A glycan gate controls opening of the SARS-CoV-2 spike protein 2021 · 265 citations
2650+1+3Years since publication50100150200250

Peers

Surl-Hee Ahn
Comparison fields: 5 of 77
  • Infectious Diseases 171
  • Structural Biology 8
  • Molecular Biology 277
  • Computational Theory and Mathematics 56
  • Radiology, Nuclear Medicine and Imaging 44
Replace Anthony T. Bogetti with:
Anthony T. Bogetti United States
Hin Hark Gan United States
Kaijian Chen China
E. Seitz United States
F.J. Acosta-Reyes Spain
Ryan S. McCool United States
Daniel A. Nissley United States
Justin R. Porter United States
Toru Ekimoto Japan
Sukrit Singh United States
Surl-Hee Ahn relative to Anthony T. Bogetti United States Anthony T. Bogetti's profile →
Citations per field
00.5×3.5×
Anthony T. Bogetti · 1×
Citations per year

Countries citing papers authored by Surl-Hee Ahn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Surl-Hee Ahn Line = papers co-authored together Surl-Hee Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 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 →
2021265
2 201937
3 202126
4 202022
5 201921
6 202318
7 202415
8 201912
9 20188
10 20178
11 20217
12 20236
13 20156
14 20245
15 20214
16 20223
17 20242
18 20252
19 20252
20 20242

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 25 papers that have together received 474 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Photosynthetic Processes and Mechanisms (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (171 citations), Structural Biology (8 citations), Molecular Biology (277 citations), Computational Theory and Mathematics (56 citations) and Radiology, Nuclear Medicine and Imaging (44 citations). Surl-Hee Ahn has collaborated with scholars based in United States, New Zealand and India. Frequent co-authors include Rommie E. Amaro, J. Andrew McCammon, Eric Darve, Fiona L. Kearns, Lorenzo Casalino, Jason S. McLellan, E. Seitz, Anthony T. Bogetti, Jory A. Goldsmith and Joachim Frank. Their work appears in journals such as The Journal of Chemical Physics, Journal of Chemical Theory and Computation, Biophysical Journal, Journal of Chemical Information and Modeling 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.

Explore authors with similar magnitude of impact