D. Bryan Prince
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
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- Computational Drug Discovery Methods
Papers in
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- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 3
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- Antibiotic Resistance in Bacteria 5
- Co-authors
- Timothy E. Benson (6 shared papers)Alfredo G. Tomasselli (5 shared papers)Thomas L. Emmons (5 shared papers)Michael J. Bienkowski (4 shared papers)Joseph B. Moon (4 shared papers)Andrew D. Ferguson (4 shared papers)Gil H. Choi (1 shared paper)Ronald W. Sarver (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Journal of Molecular Biology (1 paper)European Journal of Clinical Microbiology & Infectious Diseases (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
D. Bryan Prince
14 papers receiving 407 citations
Peers
Comparison fields: 5 of 54
- Molecular Medicine 45
- Computational Theory and Mathematics 127
- Pharmacology 111
- Molecular Biology 261
- Physiology 95
Countries citing papers authored by D. Bryan Prince
This map shows the geographic impact of D. Bryan Prince'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 D. Bryan Prince with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Bryan Prince more than expected).
Fields of papers citing papers by D. Bryan Prince
This network shows the impact of papers produced by D. Bryan Prince. 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 D. Bryan Prince. The network helps show where D. Bryan Prince may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Bryan Prince, 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 | 2007 | 83 | |
| 2 | 2002 | 71 | |
| 3 | 2015 | 34 | |
| 4 | 2014 | 33 | |
| 5 | 2016 | 33 | |
| 6 | 2006 | 31 | |
| 7 | 2006 | 30 | |
| 8 | 2007 | 30 | |
| 9 | 2014 | 25 | |
| 10 | 2007 | 20 | |
| 11 | 1994 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2014 | 6 | |
| 14 | 2008 | 5 |
About D. Bryan Prince
D. Bryan Prince is a scholar working on Molecular Biology, Molecular Medicine, Infectious Diseases, Genetics and Materials Chemistry, having authored 14 papers that have together received 421 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Alzheimer's disease research and treatments (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Molecular Medicine (45 citations), Computational Theory and Mathematics (127 citations), Pharmacology (111 citations), Molecular Biology (261 citations) and Physiology (95 citations). D. Bryan Prince has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Timothy E. Benson, Alfredo G. Tomasselli, Thomas L. Emmons, Michael J. Bienkowski, Joseph B. Moon, Andrew D. Ferguson, Gil H. Choi, Ronald W. Sarver, Ed T. Buurman and Robert Garlick. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Molecular Biology and European Journal of Clinical Microbiology & Infectious Diseases.
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.