Matthew J. O’Meara

76 total papers · 10.9k total citations
29 papers, 2.7k citations indexed

About

Matthew J. O’Meara is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Matthew J. O’Meara has authored 29 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Infectious Diseases. Recurrent topics in Matthew J. O’Meara's work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers) and RNA and protein synthesis mechanisms (4 papers). Matthew J. O’Meara is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers) and RNA and protein synthesis mechanisms (4 papers). Matthew J. O’Meara collaborates with scholars based in United States, Canada and Ukraine. Matthew J. O’Meara's co-authors include Tanja Kortemme, Brian Kuhlman, David Baker, Andrew Leaver‐Fay, Frank DiMaio, Philip Bradley, Brian K. Shoichet, Jeffrey J. Gray, John J. Irwin and Jiankun Lyu and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Matthew J. O’Meara

28 papers receiving 2.6k citations

Hit Papers

The Rosetta All-Atom Ener... 2017 2026 2020 2023 2017 2019 2023 250 500 750
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
    2017 925 citations Rebecca F. Alford, Andrew Leaver‐Fay et al. Journal of Chemical Theory and Computation profile →
  2. Ultra-large library docking for discovering new chemotypes
    2019 611 citations Jiankun Lyu, Sheng Wang et al. Nature profile →
  3. A human liver organoid screening platform for DILI risk prediction
    2023 99 citations Charles J. Zhang, Matthew J. O’Meara et al. Journal of Hepatology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew J. O’Meara 2.0k 647 546 254 238 29 2.7k
Daniel Seeliger 2.5k 1.3× 792 1.2× 471 0.9× 317 1.2× 160 0.7× 43 3.7k
Wolfgang F. Bluhm 3.3k 1.7× 687 1.1× 611 1.1× 177 0.7× 202 0.8× 32 4.6k
Zhexin Xiang 2.1k 1.1× 482 0.7× 570 1.0× 184 0.7× 182 0.8× 17 2.8k
Michael E. Pique 2.5k 1.3× 703 1.1× 439 0.8× 118 0.5× 258 1.1× 34 4.2k
Jaime Prilusky 3.9k 2.0× 437 0.7× 857 1.6× 289 1.1× 182 0.8× 40 5.0k
Alexander Rose 2.1k 1.1× 538 0.8× 445 0.8× 124 0.5× 146 0.6× 46 3.0k
Radka Svobodová Vařeková 2.3k 1.2× 416 0.6× 540 1.0× 177 0.7× 256 1.1× 69 3.3k
Bill R. Miller 2.3k 1.2× 731 1.1× 296 0.5× 198 0.8× 377 1.6× 23 3.7k
Adrien S. J. Melquiond 2.4k 1.2× 402 0.6× 380 0.7× 303 1.2× 311 1.3× 23 3.1k
Barry J. Grant 3.4k 1.7× 564 0.9× 688 1.3× 161 0.6× 231 1.0× 55 4.3k

Countries citing papers authored by Matthew J. O’Meara

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. O’Meara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. O’Meara. 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 Matthew J. O’Meara. The network helps show where Matthew J. O’Meara may publish in the future.

Co-authorship network of co-authors of Matthew J. O’Meara

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

All Works

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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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