Ryan S. McCool

6 papers receiving 457 citations

Hit Papers

Structural basis for mismatch surveillance by CRISPR–Cas9 2022 · 175 citations
1750+1+3Years since publication50100150200250

Peers

Ryan S. McCool
Comparison fields: 5 of 64
  • Business and International Management 24
  • Aging 18
  • Infectious Diseases 170
  • Structural Biology 8
  • Molecular Biology 322
Replace Aakash Saha with:
Aakash Saha United States
Laura E. Rosen United States
Jhullian J. Alston United States
Victoria Beilsten-Edmands United Kingdom
Aleksandra Drelich United States
Wenyu Han China
Xavier Carette France
Judith Reeks United Kingdom
Srirupa Chakraborty United States
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Citations per field
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Aakash Saha · 1×
Citations per year

Countries citing papers authored by Ryan S. McCool

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryan S. McCool Line = papers co-authored together Ryan S. McCool links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
A glycan gate controls opening of the SARS-CoV-2 spike protein
Hit paper breakdown →
2021251
2
Structural basis for mismatch surveillance by CRISPR–Cas9
Hit paper breakdown →
2022175
3 202416
4 202214
5 20235
6 20261

About Ryan S. McCool

Ryan S. McCool is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Pharmacology and Animal Science and Zoology, having authored 6 papers that have together received 462 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Animal Virus Infections Studies (1 paper), Legionella and Acanthamoeba research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), RNA and protein synthesis mechanisms (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and Biofuel production and bioconversion (1 paper). The work is most often cited by research in Business and International Management (24 citations), Aging (18 citations), Infectious Diseases (170 citations), Structural Biology (8 citations) and Molecular Biology (322 citations). Ryan S. McCool has collaborated with scholars based in United States. Frequent co-authors include Grace N. Hibshman, Jack P. K. Bravo, Kenneth A. Johnson, Tyler L. Dangerfield, David W. Taylor, Mu‐Sen Liu, Jory A. Goldsmith, Jason S. McLellan, Surl-Hee Ahn and Rommie E. Amaro. Their work appears in journals such as Structure, Nature Chemistry, Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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.

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