Ryan S. McCool
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
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- CRISPR and Genetic Engineering
- Protein Structure and Dynamics
- Glycosylation and Glycoproteins Research
Papers in
-
- Cytomegalovirus and herpesvirus research 1
- Respiratory viral infections research 1
- Herpesvirus Infections and Treatments 1
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- Microbial Natural Products and Biosynthesis 1
- Co-authors
- Tyler L. Dangerfield (1 shared paper)Jack P. K. Bravo (1 shared paper)Mu‐Sen Liu (1 shared paper)David Ward Taylor (1 shared paper)Kenneth Allen Johnson (1 shared paper)Grace N. Hibshman (1 shared paper)Jason S. McLellan (4 shared papers)Jory A. Goldsmith (2 shared papers)
- Journals
- Nature Chemistry (1 paper)Structure (1 paper)Nature (1 paper)Journal of Virology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan S. McCool
6 papers receiving 551 citations
Ryan S. McCool's Hit Papers
Peers
Comparison fields: 5 of 46
- Infectious Diseases 187
- Molecular Biology 314
- Structural Biology 10
- Physical and Theoretical Chemistry 13
- Epidemiology 37
Countries citing papers authored by Ryan S. McCool
This map shows the geographic impact of Ryan S. McCool'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 Ryan S. McCool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan S. McCool more than expected).
Fields of papers citing papers by Ryan S. McCool
This network shows the impact of papers produced by Ryan S. McCool. 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 Ryan S. McCool. The network helps show where Ryan S. McCool may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan S. McCool, 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 | A glycan gate controls opening of the SARS-CoV-2 spike protein Hit paper breakdown → | 2021 | 293 |
| 2 | Structural basis for mismatch surveillance by CRISPR–Cas9 Hit paper breakdown → | 2022 | 216 |
| 3 | 2024 | 25 | |
| 4 | 2022 | 15 | |
| 5 | 2023 | 11 | |
| 6 | 2026 | 2 |
About Ryan S. McCool
Ryan S. McCool is a scholar working on Epidemiology, Pharmacology, Infectious Diseases, Oncology and Molecular Biology, having authored 6 papers that have together received 562 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (1 paper), Microbial Natural Products and Biosynthesis (1 paper), vaccines and immunoinformatics approaches (1 paper), Respiratory viral infections research (1 paper), Viral-associated cancers and disorders (1 paper), CRISPR and Genetic Engineering (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (187 citations), Molecular Biology (314 citations), Structural Biology (10 citations), Physical and Theoretical Chemistry (13 citations) and Epidemiology (37 citations). Ryan S. McCool has collaborated with scholars based in United States. Frequent co-authors include Tyler L. Dangerfield, Jack P. K. Bravo, Mu‐Sen Liu, David Ward Taylor, Kenneth Allen Johnson, Grace N. Hibshman, Jason S. McLellan, Jory A. Goldsmith, Evan E. Seitz and James Andrew McCammon. Their work appears in journals such as Nature Chemistry, Structure, Nature, Journal of Virology and Proceedings of the National Academy of Sciences.
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.