Matthew Holcomb
Impact in
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- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
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- Computational Drug Discovery Methods
Papers in
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- Chemical Synthesis and Analysis 6
- Protein Structure and Dynamics 5
- Biochemical and Structural Characterization 3
- Lipid Membrane Structure and Behavior 2
- RNA and protein synthesis mechanisms 2
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- Computational Drug Discovery Methods 6
- Co-authors
- Stefano Forli (14 shared papers)David S. Goodsell (1 shared paper)Ya‐Ting Chang (1 shared paper)Floyd E. Romesberg (4 shared papers)Tammy J. Dwyer (1 shared paper)Vivian T. Dien (1 shared paper)Aaron W. Feldman (1 shared paper)Emil C. Fischer (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Journal of the American Chemical Society (2 papers)Protein Science (2 papers)Communications Chemistry (2 papers)ACS Central Science (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Matthew Holcomb
17 papers receiving 258 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 176
- Computational Theory and Mathematics 36
- Biological Psychiatry 5
- Organic Chemistry 57
- Cellular and Molecular Neuroscience 25
Countries citing papers authored by Matthew Holcomb
This map shows the geographic impact of Matthew Holcomb'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 Holcomb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Holcomb more than expected).
Fields of papers citing papers by Matthew Holcomb
This network shows the impact of papers produced by Matthew Holcomb. 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 Holcomb. The network helps show where Matthew Holcomb may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Holcomb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 58 | |
| 2 | 2023 | 40 | |
| 3 | 2018 | 35 | |
| 4 | 2018 | 29 | |
| 5 | 2015 | 18 | |
| 6 | 2022 | 15 | |
| 7 | 2023 | 13 | |
| 8 | 2020 | 11 | |
| 9 | 2017 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2017 | 6 | |
| 13 | 2025 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Matthew Holcomb
Matthew Holcomb is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 263 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (6 papers), Protein Structure and Dynamics (5 papers), Microbial Natural Products and Biosynthesis (3 papers), Biochemical and Structural Characterization (3 papers), Click Chemistry and Applications (3 papers), Lipid Membrane Structure and Behavior (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (176 citations), Computational Theory and Mathematics (36 citations), Biological Psychiatry (5 citations), Organic Chemistry (57 citations) and Cellular and Molecular Neuroscience (25 citations). Matthew Holcomb has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Stefano Forli, David S. Goodsell, Ya‐Ting Chang, Floyd E. Romesberg, Tammy J. Dwyer, Vivian T. Dien, Aaron W. Feldman, Emil C. Fischer, Jörg Zimmermann and Ramkrishna Adhikary. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of the American Chemical Society, Protein Science, Communications Chemistry and ACS Central Science.
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.