S. Cusack

28.0k citations
282 papers · 21.5k indexed · 9 hit papers · h-index 80

S. Cusack

278 papers receiving 21.1k citations

Hit Papers

Characterization...3121988202620002013250500750

Peers

S. Cusack
Comparison fields: 5 of 184
  • Molecular Biology 13.6k
  • Infectious Diseases 3.0k
  • Epidemiology 5.2k
  • Immunology 2.9k
  • Genetics 3.0k
Replace A. McLachlan with:
A. McLachlan United States
Kevin Cowtan United Kingdom
Jean‐Michel Claverie France
Johannes Söding Germany
Albert J. R. Heck Netherlands
Russell F. Doolittle United States
L. Aravind United States
Jesper V. Olsen Denmark
Tomas Lindahl Sweden
Kevin M. Smith United States
S. Cusack relative to A. McLachlan United States A. McLachlan's profile →
Citations per field
00.5×10×16×
A. McLachlan · 1×
Citations per year

Countries citing papers authored by S. Cusack

Since Specialization
Citations

This map shows the geographic impact of S. Cusack'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 S. Cusack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Cusack more than expected).

Fields of papers citing papers by S. Cusack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Cusack. 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 S. Cusack. The network helps show where S. Cusack may publish in the future.

Co-authorship network

The 25 scholars most cited alongside S. Cusack, 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 S. Cusack Line = papers co-authored together S. Cusack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202410
2 202410
3 20242
4 20236
5 20236
6 202341
7 202312
8 20235
9 202311
10 202218
11 202130
12 202030
13 202040
14 202016
15 202046
16 202077
17 201714
18 201759
19
An Antifungal Agent Inhibits an Aminoacyl-tRNA Synthetase by Trapping tRNA in the Editing Sitebreakdown →
2007502
20 200673

About S. Cusack

S. Cusack is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Epidemiology and Immunology, having authored 282 papers that have together received 21.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (116 papers), RNA modifications and cancer (56 papers), Influenza Virus Research Studies (47 papers), Enzyme Structure and Function (38 papers), RNA Research and Splicing (35 papers), Protein Structure and Dynamics (31 papers), interferon and immune responses (29 papers) and Virus-based gene therapy research (27 papers). The work is most often cited by research in Molecular Biology (13.6k citations), Infectious Diseases (3.0k citations), Epidemiology (5.2k citations), Immunology (2.9k citations) and Genetics (3.0k citations). S. Cusack has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Rob W. H. Ruigrok, M. A. Tukalo, W. Doster, W. Petry, Anna Yaremchuk, Delphine Guilligay, Thibaut Crépin, R. Leberman, Darren J. Hart and C. Berthet-Colominas. Their work appears in journals such as Journal of Molecular Biology, Nature Communications, Nucleic Acids Research, The EMBO Journal and Nature.

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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