Andrew D. Mesecar

16.8k total citations · 1 hit paper
167 papers, 11.6k citations indexed

About

Andrew D. Mesecar is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Andrew D. Mesecar has authored 167 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Molecular Biology, 36 papers in Infectious Diseases and 26 papers in Computational Theory and Mathematics. Recurrent topics in Andrew D. Mesecar's work include SARS-CoV-2 and COVID-19 Research (33 papers), Computational Drug Discovery Methods (26 papers) and Protein Structure and Dynamics (16 papers). Andrew D. Mesecar is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (33 papers), Computational Drug Discovery Methods (26 papers) and Protein Structure and Dynamics (16 papers). Andrew D. Mesecar collaborates with scholars based in United States, China and Japan. Andrew D. Mesecar's co-authors include Susan C. Baker, Kiira Ratia, Bernard D. Santarsiero, Yahira M. Báez-Santos, Aimee L. Eggler, Sarah E. St. John, John M. Pezzuto, Richard B. van Breemen, Arun K. Ghosh and Barry Stoddard and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Andrew D. Mesecar

164 papers receiving 11.4k citations

Hit Papers

The SARS-coronavirus papain-like protease: Structure, fun... 2014 2026 2018 2022 2014 200 400 600

Peers

Andrew D. Mesecar
Comparison fields: 5 of 155
  • Molecular Biology 6.1k
  • Infectious Diseases 3.5k
  • Computational Theory and Mathematics 2.0k
  • Organic Chemistry 1.5k
  • Immunology 1.4k
Replace James C. Sacchettini with:
James C. Sacchettini United States
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Citations per field, relative to Andrew D. Mesecar
Andrew D. Mesecar · 1×
Citations per year, relative to Andrew D. Mesecar
Andrew D. Mesecar · 1×

Countries citing papers authored by Andrew D. Mesecar

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. Mesecar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Mesecar. 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 Andrew D. Mesecar. The network helps show where Andrew D. Mesecar may publish in the future.

Co-authorship network of co-authors of Andrew D. Mesecar

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Mesecar. A scholar is included among the top collaborators of Andrew D. Mesecar 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 Andrew D. Mesecar. Andrew D. Mesecar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 25
4 20
5 11
6 8
7 21
8 76
9 23
10 86
11 111
12 16
13
The SARS-coronavirus papain-like protease: Structure, function and inhibition by designed antiviral compounds breakdown →
621
14 18
15 31
16 179
17 293
18 366
19 26
20 66

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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2026