Ryan Whaley

2.3k total citations · 1 hit paper
9 papers, 606 citations indexed

About

Ryan Whaley is a scholar working on Pharmacology, Molecular Biology and Genetics. According to data from OpenAlex, Ryan Whaley has authored 9 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Ryan Whaley's work include Pharmacogenetics and Drug Metabolism (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Genomics and Rare Diseases (3 papers). Ryan Whaley is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Genomics and Rare Diseases (3 papers). Ryan Whaley collaborates with scholars based in United States. Ryan Whaley's 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 and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and The American Journal of Human Genetics.

In The Last Decade

Ryan Whaley

7 papers receiving 599 citations

Hit Papers

An Evidence‐Based Framework for Evaluating Pharmacogenomi... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan Whaley United States 6 268 237 143 112 92 9 606
Roman Tremmel Germany 13 197 0.7× 186 0.8× 91 0.6× 40 0.4× 52 0.6× 33 481
Masaki Kumondai Japan 12 270 1.0× 148 0.6× 91 0.6× 43 0.4× 36 0.4× 34 434
Seung‐been Lee United States 10 263 1.0× 132 0.6× 136 1.0× 30 0.3× 60 0.7× 17 408
Andria L. Del Tredici United States 14 457 1.7× 191 0.8× 200 1.4× 36 0.3× 203 2.2× 28 835
Padmaja Mummaneni United States 13 152 0.6× 439 1.9× 170 1.2× 36 0.3× 87 0.9× 15 817
Gregory McInnes United States 10 159 0.6× 150 0.6× 193 1.3× 38 0.3× 54 0.6× 12 414
Rachel J. Church United States 18 210 0.8× 180 0.8× 57 0.4× 33 0.3× 32 0.3× 21 685
Ming Ta Michael Lee United States 11 246 0.9× 62 0.3× 62 0.4× 40 0.4× 75 0.8× 16 452
Eriko Higashi Japan 11 274 1.0× 249 1.1× 70 0.5× 27 0.2× 52 0.6× 16 595

Countries citing papers authored by Ryan Whaley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan Whaley

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Whaley. A scholar is included among the top collaborators of Ryan Whaley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan Whaley. Ryan Whaley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Caudle, Kelly E., Michelle Whirl‐Carrillo, Mary V. Relling, et al.. (2025). Advancing Clinical Pharmacogenomics Worldwide Through the Clinical Pharmacogenetics Implementation Consortium ( CPIC ). Clinical Pharmacology & Therapeutics. 118(6). 1512–1522. 2 indexed citations
2.
Li, Binglan, Katrin Sangkuhl, Ryan Whaley, et al.. (2023). Frequencies of pharmacogenomic alleles across biogeographic groups in a large-scale biobank. The American Journal of Human Genetics. 110(10). 1628–1647. 17 indexed citations
3.
Sangkuhl, Katrin, Ryan Whaley, Mark Woon, et al.. (2023). P662: Estimating UK Biobank population-specific PGx allele and phenotype frequencies using PharmCAT. SHILAP Revista de lepidopterología. 1(1). 100727–100727.
4.
Li, Binglan, Katrin Sangkuhl, Ryan Whaley, et al.. (2022). How to Run the Pharmacogenomics Clinical Annotation Tool (PharmCAT). Clinical Pharmacology & Therapeutics. 113(5). 1036–1047. 7 indexed citations
5.
Whirl‐Carrillo, Michelle, Rachel Huddart, Li Gong, et al.. (2021). An Evidence‐Based Framework for Evaluating Pharmacogenomics Knowledge for Personalized Medicine. Clinical Pharmacology & Therapeutics. 110(3). 563–572. 410 indexed citations breakdown →
6.
7.
Sangkuhl, Katrin, Michelle Whirl‐Carrillo, Ryan Whaley, et al.. (2019). Pharmacogenomics Clinical Annotation Tool (Pharm CAT ). Clinical Pharmacology & Therapeutics. 107(1). 203–210. 68 indexed citations
8.
Lever, Jake, Julia M. Barbarino, Li Gong, et al.. (2019). PGxMine: Text mining for curation of PharmGKB. PubMed. 25. 611–622. 12 indexed citations
9.
Hernandez‐Boussard, Tina, Michelle Whirl‐Carrillo, Joan M. Hebert, et al.. (2007). The pharmacogenetics and pharmacogenomics knowledge base: accentuating the knowledge. Nucleic Acids Research. 36(Database). D913–D918. 90 indexed citations

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.

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