Bryan J. Witherbee
Impact in
-
- Computational Drug Discovery Methods
- Pharmaceutical Science top 10%
- Fluorine in Organic Chemistry
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- RNA and protein synthesis mechanisms 1
- Oncology 6
- Drug Transport and Resistance Mechanisms 5
- Metal complexes synthesis and properties 2
- Co-authors
- Daniel T. Connolly (8 shared papers)Thompson N. Doman (1 shared paper)Brian K. Shoichet (1 shared paper)Ravi G. Kurumbail (1 shared paper)Susan L. McGovern (1 shared paper)William C. Stallings (1 shared paper)Thomas P. Kasten (1 shared paper)Richard C. Durley (6 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Biochemistry (1 paper)Endocrinology (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United States
In The Last Decade
Bryan J. Witherbee
9 papers receiving 522 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 222
- Pharmaceutical Science 54
- Organic Chemistry 158
- Toxicology 16
- Molecular Biology 310
Countries citing papers authored by Bryan J. Witherbee
This map shows the geographic impact of Bryan J. Witherbee'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 Bryan J. Witherbee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan J. Witherbee more than expected).
Fields of papers citing papers by Bryan J. Witherbee
This network shows the impact of papers produced by Bryan J. Witherbee. 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 Bryan J. Witherbee. The network helps show where Bryan J. Witherbee may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan J. Witherbee, 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 | 2002 | 342 | |
| 2 | 2003 | 57 | |
| 3 | 2001 | 43 | |
| 4 | 2003 | 42 | |
| 5 | 2000 | 23 | |
| 6 | 2000 | 21 | |
| 7 | 2002 | 20 | |
| 8 | 2000 | 18 | |
| 9 | 2001 | 1 |
About Bryan J. Witherbee
Bryan J. Witherbee is a scholar working on Molecular Biology, Oncology, Surgery, Computational Theory and Mathematics and Organic Chemistry, having authored 9 papers that have together received 567 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Cholesterol and Lipid Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Computational Drug Discovery Methods (2 papers), Metal complexes synthesis and properties (2 papers), RNA and protein synthesis mechanisms (1 paper), Galectins and Cancer Biology (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Computational Theory and Mathematics (222 citations), Pharmaceutical Science (54 citations), Organic Chemistry (158 citations), Toxicology (16 citations) and Molecular Biology (310 citations). Bryan J. Witherbee has collaborated with scholars based in United States. Frequent co-authors include Daniel T. Connolly, Thompson N. Doman, Brian K. Shoichet, Ravi G. Kurumbail, Susan L. McGovern, William C. Stallings, Thomas P. Kasten, Richard C. Durley, James A. Sikorski and Mark E. Smith. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Biochemistry, Endocrinology and Journal of Lipid Research.
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.