Ryan Whaley
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
-
- Computational Drug Discovery Methods
Papers in
-
- Pharmacogenetics and Drug Metabolism 5
- Berberine and alkaloids research 1
-
- Biomedical Text Mining and Ontologies 4
- Co-authors
- Teri E. Klein (8 shared papers)Michelle Whirl‐Carrillo (8 shared papers)Katrin Sangkuhl (7 shared papers)Li Gong (4 shared papers)Rachel Huddart (2 shared papers)Caroline F. Thorn (1 shared paper)Mark Woon (6 shared papers)Russ B. Altman (3 shared papers)
- Journals
- Clinical Pharmacology & Therapeutics (4 papers)Nucleic Acids Research (1 paper)The American Journal of Human Genetics (1 paper)PubMed (1 paper)Figshare (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan Whaley
8 papers receiving 658 citations
Ryan Whaley's Hit Papers
Peers
Comparison fields: 5 of 87
- Pharmacology 278
- Computational Theory and Mathematics 105
- Genetics 130
- Pediatrics, Perinatology and Child Health 80
- Biological Psychiatry 10
Countries citing papers authored by Ryan Whaley
This map shows the geographic impact of Ryan Whaley'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 Whaley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Whaley more than expected).
Fields of papers citing papers by Ryan Whaley
This network shows the impact of papers produced by Ryan Whaley. 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 Whaley. The network helps show where Ryan Whaley may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Whaley, 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 | An Evidence‐Based Framework for Evaluating Pharmacogenomics Knowledge for Personalized Medicine Hit paper breakdown → | 2021 | 451 |
| 2 | 2007 | 100 | |
| 3 | 2019 | 73 | |
| 4 | 2023 | 19 | |
| 5 | 2019 | 12 | |
| 6 | 2022 | 9 | |
| 7 | 2025 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2020 | 0 |
About Ryan Whaley
Ryan Whaley is a scholar working on Pharmacology, Molecular Biology, Genetics, Pharmacology and Pathology and Forensic Medicine, having authored 9 papers that have together received 669 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Biomedical Text Mining and Ontologies (4 papers), Genomics and Rare Diseases (3 papers), Natural Language Processing Techniques (1 paper), Ethics in Clinical Research (1 paper), Berberine and alkaloids research (1 paper), Genetic factors in colorectal cancer (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Pharmacology (278 citations), Computational Theory and Mathematics (105 citations), Genetics (130 citations), Pediatrics, Perinatology and Child Health (80 citations) and Biological Psychiatry (10 citations). Ryan Whaley has collaborated with scholars based in United States. Frequent co-authors include Teri E. Klein, Michelle Whirl‐Carrillo, Katrin Sangkuhl, Li Gong, Rachel Huddart, Caroline F. Thorn, Mark Woon, Russ B. Altman, Marylyn D. Ritchie and Anurag Verma. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Nucleic Acids Research, The American Journal of Human Genetics, PubMed and Figshare.
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.