Ryan E. Watkins
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
-
- Hormonal Regulation and Hypertension
Papers in
-
- Receptor Mechanisms and Signaling 2
- Steroid Chemistry and Biochemistry 1
- Hedgehog Signaling Pathway Studies 1
- Genetics 5
- Estrogen and related hormone effects 4
- Co-authors
- Matthew R. Redinbo (6 shared papers)Linda B. Moore (4 shared papers)G. Bruce Wisely (4 shared papers)Steven A. Kliewer (2 shared papers)Paula R. Davis-Searles (3 shared papers)Shawn P. Williams (1 shared paper)Millard H. Lambert (1 shared paper)Timothy M. Willson (1 shared paper)
- Journals
- Biochemistry (2 papers)Protein Expression and Purification (1 paper)Journal of Molecular Biology (1 paper)Science (1 paper)The Journal of Organic Chemistry (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Ryan E. Watkins
8 papers receiving 1.2k citations
Ryan E. Watkins's Hit Papers
Peers
Comparison fields: 5 of 82
- Pharmacology 675
- Endocrinology, Diabetes and Metabolism 370
- Genetics 503
- Oncology 343
- Toxicology 23
Countries citing papers authored by Ryan E. Watkins
This map shows the geographic impact of Ryan E. Watkins'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 Ryan E. Watkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan E. Watkins more than expected).
Fields of papers citing papers by Ryan E. Watkins
This network shows the impact of papers produced by Ryan E. Watkins. 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 Ryan E. Watkins. The network helps show where Ryan E. Watkins may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan E. Watkins, 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 | The Human Nuclear Xenobiotic Receptor PXR: Structural Determinants of Directed Promiscuity Hit paper breakdown → | 2001 | 646 |
| 2 | 2003 | 274 | |
| 3 | 2003 | 190 | |
| 4 | Structural insights into the promiscuity and function of the human pregnane X receptor. | 2002 | 66 |
| 5 | 2006 | 52 | |
| 6 | 2008 | 14 | |
| 7 | 1982 | 4 | |
| 8 | 2002 | 1 |
About Ryan E. Watkins
Ryan E. Watkins is a scholar working on Molecular Biology, Genetics, Pharmacology, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Estrogen and related hormone effects (4 papers), Hormonal Regulation and Hypertension (3 papers), Receptor Mechanisms and Signaling (2 papers), Steroid Chemistry and Biochemistry (1 paper), Computational Drug Discovery Methods (1 paper), Biochemical Acid Research Studies (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Pharmacology (675 citations), Endocrinology, Diabetes and Metabolism (370 citations), Genetics (503 citations), Oncology (343 citations) and Toxicology (23 citations). Ryan E. Watkins has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Matthew R. Redinbo, Linda B. Moore, G. Bruce Wisely, Steven A. Kliewer, Paula R. Davis-Searles, Shawn P. Williams, Millard H. Lambert, Timothy M. Willson, Jon L. Collins and Schroeder M. Noble. Their work appears in journals such as Biochemistry, Protein Expression and Purification, Journal of Molecular Biology, Science and The Journal of Organic Chemistry.
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.