Scott P. Brown
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
Papers in
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- Protein Structure and Dynamics 12
- Advanced Biosensing Techniques and Applications 2
- Protein Interaction Studies and Fluorescence Analysis 2
-
- Computational Drug Discovery Methods 8
- Co-authors
- Steven W. Muchmore (12 shared papers)Philip J. Hajduk (4 shared papers)Gregory L. Warren (2 shared papers)Brian Kelley (2 shared papers)Teresa Head‐Gordon (4 shared papers)Nicolas L. Fawzi (3 shared papers)James T. Metz (1 shared paper)Yvonne C. Martin (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Journal of Chemical Information and Modeling (4 papers)Protein Science (2 papers)ChemMedChem (1 paper)Drug Discovery Today Technologies (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Scott P. Brown
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Computational Theory and Mathematics 546
- Molecular Biology 787
- Pharmacology 181
- Organic Chemistry 217
- Biochemistry 50
Countries citing papers authored by Scott P. Brown
This map shows the geographic impact of Scott P. Brown'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 Scott P. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott P. Brown more than expected).
Fields of papers citing papers by Scott P. Brown
This network shows the impact of papers produced by Scott P. Brown. 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 Scott P. Brown. The network helps show where Scott P. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott P. Brown, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 258 | |
| 2 | 2008 | 141 | |
| 3 | 2008 | 123 | |
| 4 | 2015 | 112 | |
| 5 | 2009 | 100 | |
| 6 | 2003 | 92 | |
| 7 | 2009 | 81 | |
| 8 | 2006 | 80 | |
| 9 | 2011 | 67 | |
| 10 | 2021 | 51 | |
| 11 | 2007 | 46 | |
| 12 | 2005 | 39 | |
| 13 | 2006 | 37 | |
| 14 | 2014 | 28 | |
| 15 | 2008 | 28 | |
| 16 | 2017 | 14 | |
| 17 | Current and Future Applications of Machine Learning for the US Army | 2018 | 4 |
| 18 | 2025 | 3 | |
| 19 | 2004 | 3 | |
| 20 | 2009 | 3 |
About Scott P. Brown
Scott P. Brown is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Biophysics and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (8 papers), Enzyme Structure and Function (6 papers), Alzheimer's disease research and treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Protein Interaction Studies and Fluorescence Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (546 citations), Molecular Biology (787 citations), Pharmacology (181 citations), Organic Chemistry (217 citations) and Biochemistry (50 citations). Scott P. Brown has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Steven W. Muchmore, Philip J. Hajduk, Gregory L. Warren, Brian Kelley, Teresa Head‐Gordon, Nicolas L. Fawzi, James T. Metz, Yvonne C. Martin, Derek A. Debe and Jennifer Grant. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Protein Science, ChemMedChem and Drug Discovery Today Technologies.
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.