Steven A. Combs
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Receptor Mechanisms and Signaling
Papers in
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- Protein Structure and Dynamics 7
- Genetics, Bioinformatics, and Biomedical Research 1
- Ion channel regulation and function 1
- Protein Degradation and Inhibitors 1
- Machine Learning in Bioinformatics 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Jens Meiler (7 shared papers)Gordon Lemmon (2 shared papers)D.P. Nannemann (1 shared paper)Jonathan H. Sheehan (1 shared paper)Jordan R. Willis (1 shared paper)Elizabeth D. Nguyen (1 shared paper)Samuel DeLuca (1 shared paper)Yadi Zhou (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Journal of Chemical Information and Modeling (2 papers)ACS Chemical Neuroscience (1 paper)Journal of Structural Biology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Steven A. Combs
9 papers receiving 324 citations
Peers
Comparison fields: 5 of 78
- Computational Theory and Mathematics 85
- Molecular Biology 244
- Cellular and Molecular Neuroscience 35
- Biotechnology 15
- Materials Chemistry 69
Countries citing papers authored by Steven A. Combs
This map shows the geographic impact of Steven A. Combs'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 Steven A. Combs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven A. Combs more than expected).
Fields of papers citing papers by Steven A. Combs
This network shows the impact of papers produced by Steven A. Combs. 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 Steven A. Combs. The network helps show where Steven A. Combs may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven A. Combs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 134 | |
| 2 | 2018 | 54 | |
| 3 | 2022 | 42 | |
| 4 | 2011 | 31 | |
| 5 | 2011 | 28 | |
| 6 | 2013 | 22 | |
| 7 | 2010 | 10 | |
| 8 | 2018 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2011 | 0 |
About Steven A. Combs
Steven A. Combs is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 11 papers that have together received 327 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (5 papers), Enzyme Structure and Function (4 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Ion channel regulation and function (1 paper), Protein Degradation and Inhibitors (1 paper), Machine Learning in Bioinformatics (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (85 citations), Molecular Biology (244 citations), Cellular and Molecular Neuroscience (35 citations), Biotechnology (15 citations) and Materials Chemistry (69 citations). Steven A. Combs has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jens Meiler, Gordon Lemmon, D.P. Nannemann, Jonathan H. Sheehan, Jordan R. Willis, Elizabeth D. Nguyen, Samuel DeLuca, Yadi Zhou, Suntara Cahya and Jie Shen. Their work appears in journals such as Journal of the American Chemical Society, Journal of Chemical Information and Modeling, ACS Chemical Neuroscience, Journal of Structural Biology and Scientific Reports.
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.