Ryan Whaley
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
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- Computational Drug Discovery Methods
Papers in
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- Pharmacogenetics and Drug Metabolism 5
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- Biomedical Text Mining and Ontologies 4
- Genetics, Bioinformatics, and Biomedical Research 1
- Bioinformatics and Genomic Networks 1
- Co-authors
- Michelle Whirl‐Carrillo (8 shared papers)Teri E. Klein (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)The American Journal of Human Genetics (1 paper)Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)Figshare (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan Whaley
7 papers receiving 599 citations
Ryan Whaley's Hit Papers
Peers
Comparison fields: 5 of 89
- Pharmacology 268
- Computational Theory and Mathematics 112
- Genetics 143
- Biological Psychiatry 12
- Pediatrics, Perinatology and Child Health 92
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 | 410 |
| 2 | 2007 | 90 | |
| 3 | 2019 | 68 | |
| 4 | 2023 | 17 | |
| 5 | 2019 | 12 | |
| 6 | 2022 | 7 | |
| 7 | 2025 | 2 | |
| 8 | 2023 | 0 | |
| 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 606 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), Genetics, Bioinformatics, and Biomedical Research (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Bioinformatics and Genomic Networks (1 paper), Genetic Associations and Epidemiology (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Pharmacology (268 citations), Computational Theory and Mathematics (112 citations), Genetics (143 citations), Biological Psychiatry (12 citations) and Pediatrics, Perinatology and Child Health (92 citations). Ryan Whaley has collaborated with scholars based in United States. Frequent co-authors include Michelle Whirl‐Carrillo, Teri E. Klein, 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, The American Journal of Human Genetics, Nucleic Acids Research, SHILAP Revista de lepidopterología 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.