Brian Goldman
Impact in
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- Computational Drug Discovery Methods
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- Cardiac electrophysiology and arrhythmias
Papers in
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- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 4
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- Computational Drug Discovery Methods 7
- Co-authors
- Alex M. Aronov (2 shared papers)W. Todd Wipke (4 shared papers)W. Patrick Walters (4 shared papers)Patrick Riley (3 shared papers)Ajay N. Jain (1 shared paper)Steven Kearnes (1 shared paper)Xiaodan Zhang (1 shared paper)Dmytro S. Radchenko (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Journal of Medicinal Chemistry (2 papers)Journal of Chemical Information and Modeling (2 papers)Bioorganic & Medicinal Chemistry (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesUkraine
In The Last Decade
Brian Goldman
10 papers receiving 241 citations
Peers
Comparison fields: 5 of 53
- Computational Theory and Mathematics 149
- Cardiology and Cardiovascular Medicine 67
- Molecular Biology 155
- Pharmacology 14
- Materials Chemistry 54
Countries citing papers authored by Brian Goldman
This map shows the geographic impact of Brian Goldman'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 Brian Goldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Goldman more than expected).
Fields of papers citing papers by Brian Goldman
This network shows the impact of papers produced by Brian Goldman. 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 Brian Goldman. The network helps show where Brian Goldman may publish in the future.
Co-authors
The 21 scholars most cited alongside Brian Goldman, 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 | 2004 | 100 | |
| 2 | 2000 | 42 | |
| 3 | 2024 | 26 | |
| 4 | 2022 | 24 | |
| 5 | 2012 | 24 | |
| 6 | 2000 | 21 | |
| 7 | 2025 | 7 | |
| 8 | 2000 | 5 | |
| 9 | 2020 | 3 | |
| 10 | 2000 | 3 |
About Brian Goldman
Brian Goldman is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Spectroscopy and Pharmacology, having authored 10 papers that have together received 255 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (4 papers), Chemical Synthesis and Analysis (4 papers), Enzyme Structure and Function (2 papers), Analytical Chemistry and Chromatography (2 papers), Machine Learning in Materials Science (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Computational Theory and Mathematics (149 citations), Cardiology and Cardiovascular Medicine (67 citations), Molecular Biology (155 citations), Pharmacology (14 citations) and Materials Chemistry (54 citations). Brian Goldman has collaborated with scholars based in United States and Ukraine. Frequent co-authors include Alex M. Aronov, W. Todd Wipke, W. Patrick Walters, Patrick Riley, Ajay N. Jain, Steven Kearnes, Xiaodan Zhang, Dmytro S. Radchenko, Thomas E. Cleveland and Georgia B. McGaughey. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Bioorganic & Medicinal Chemistry and Science Advances.
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.