Ryan S. McCool

842 total citations · 2 hit papers
6 papers, 462 citations indexed

About

Ryan S. McCool is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Ryan S. McCool has authored 6 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Infectious Diseases and 1 paper in Molecular Biology. Recurrent topics in Ryan S. McCool's work include Legionella and Acanthamoeba research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Influenza Virus Research Studies (1 paper). Ryan S. McCool is often cited by papers focused on Legionella and Acanthamoeba research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Influenza Virus Research Studies (1 paper). Ryan S. McCool collaborates with scholars based in United States. Ryan S. McCool's co-authors include Mu‐Sen Liu, David W. Taylor, Tyler L. Dangerfield, Jack P. K. Bravo, Kenneth A. Johnson, Grace N. Hibshman, Jory A. Goldsmith, Jason S. McLellan, Lillian T. Chong and Anthony T. Bogetti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ryan S. McCool

6 papers receiving 457 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A glycan gate controls opening of the SARS-CoV-2 spike protein

2021 251 citations Terra Sztain, Surl-Hee Ahn et al. Nature Chemistry profile →
Structural basis for mismatch surveillance by CRISPR–Cas9

2022 175 citations Jack P. K. Bravo, Mu‐Sen Liu et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ryan S. McCool United States	5	322	170	51	50	39	6	462
Aleksandra Drelich United States	12	188 0.6×	288 1.7×	54 1.1×	70 1.4×	81 2.1×	26	493
Laura E. Rosen United States	8	439 1.4×	462 2.7×	24 0.5×	45 0.9×	69 1.8×	9	773
Jhullian J. Alston United States	7	267 0.8×	221 1.3×	24 0.5×	67 1.3×	11 0.3×	8	463
Wenyu Han China	9	284 0.9×	334 2.0×	35 0.7×	48 1.0×	62 1.6×	12	516
Nitin Sharma India	10	168 0.5×	113 0.7×	57 1.1×	18 0.4×	18 0.5×	26	388
Srirupa Chakraborty United States	11	243 0.8×	180 1.1×	29 0.6×	42 0.8×	40 1.0×	18	388
Wahyu Surya Singapore	14	328 1.0×	311 1.8×	94 1.8×	53 1.1×	11 0.3×	35	641
Adrien Lugari France	9	242 0.8×	180 1.1×	30 0.6×	60 1.2×	30 0.8×	13	463
Karoline Leopold Canada	7	195 0.6×	237 1.4×	27 0.5×	25 0.5×	37 0.9×	7	419

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-authorship network of co-authors of Ryan S. McCool

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan S. McCool. A scholar is included among the top collaborators of Ryan S. McCool based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan S. McCool. Ryan S. McCool is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

McCool, Ryan S., Abigail E. Powell, Daniel J Stieh, et al.. (2026). Structure and immunogenicity of an engineered soluble prefusion-stabilized EBV gB antigen. Nature Communications. 17(1). 1197–1197. 1 indexed citations

2.

Byrne, Patrick O., Alison G. Lee, Jory A. Goldsmith, et al.. (2024). Structure-based design of a soluble human cytomegalovirus glycoprotein B antigen stabilized in a prefusion-like conformation. Proceedings of the National Academy of Sciences. 121(37). e2404250121–e2404250121. 16 indexed citations

3.

McCool, Ryan S., Alexandrine Derrien-Colemyn, Daniel Wrapp, et al.. (2023). Vaccination with prefusion-stabilized respiratory syncytial virus fusion protein elicits antibodies targeting a membrane-proximal epitope. Journal of Virology. 97(10). e0092923–e0092923. 5 indexed citations

4.

Bravo, Jack P. K., Mu‐Sen Liu, Grace N. Hibshman, et al.. (2022). Structural basis for mismatch surveillance by CRISPR–Cas9. Nature. 603(7900). 343–347. 175 indexed citations breakdown →

5.

Dickinson, Miles Sasha, Takeshi Miyazawa, Ryan S. McCool, & Adrian T. Keatinge‐Clay. (2022). Priming enzymes from the pikromycin synthase reveal how assembly-line ketosynthases catalyze carbon-carbon chemistry. Structure. 30(9). 1331–1339.e3. 14 indexed citations

6.

Sztain, Terra, Surl-Hee Ahn, Anthony T. Bogetti, et al.. (2021). A glycan gate controls opening of the SARS-CoV-2 spike protein. Nature Chemistry. 13(10). 963–968. 251 indexed citations breakdown →

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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