Dyson T. Wake
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Anesthesiology and Pain Medicine top 10%
- Pain Management and Opioid Use
Papers in
- Pharmacology 10
- Pharmacogenetics and Drug Metabolism 10
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- Pharmaceutical studies and practices 5
- Co-authors
- Henry M. Dunnenberger (12 shared papers)D. Max Smith (4 shared papers)Peter J. Hulick (7 shared papers)Nicole Glaser (2 shared papers)Amy A. Lemke (2 shared papers)Sadaf Kazi (1 shared paper)Christina G. Selkirk (1 shared paper)Kristin Weitzel (2 shared papers)
- Journals
- Pharmacogenomics (3 papers)Clinical Pharmacology & Therapeutics (2 papers)Journal of Personalized Medicine (1 paper)Genetics in Medicine (1 paper)Cancers (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Dyson T. Wake
13 papers receiving 364 citations
Peers
Comparison fields: 5 of 55
- Pharmacology 241
- Anesthesiology and Pain Medicine 41
- Geriatrics and Gerontology 24
- Pediatrics, Perinatology and Child Health 125
- Statistics and Probability 23
Countries citing papers authored by Dyson T. Wake
This map shows the geographic impact of Dyson T. Wake'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 Dyson T. Wake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dyson T. Wake more than expected).
Fields of papers citing papers by Dyson T. Wake
This network shows the impact of papers produced by Dyson T. Wake. 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 Dyson T. Wake. The network helps show where Dyson T. Wake may publish in the future.
Co-authors
The 25 scholars most cited alongside Dyson T. Wake, 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 | 2019 | 109 | |
| 2 | 2017 | 57 | |
| 3 | 2021 | 45 | |
| 4 | 2018 | 41 | |
| 5 | 2019 | 36 | |
| 6 | 2018 | 30 | |
| 7 | 2022 | 22 | |
| 8 | 2021 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 6 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2026 | 0 |
About Dyson T. Wake
Dyson T. Wake is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Genetics and Statistics and Probability, having authored 14 papers that have together received 375 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Pharmaceutical studies and practices (5 papers), Statistical Methods in Clinical Trials (3 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers), BRCA gene mutations in cancer (2 papers), Ethics in Clinical Research (2 papers) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Pharmacology (241 citations), Anesthesiology and Pain Medicine (41 citations), Geriatrics and Gerontology (24 citations), Pediatrics, Perinatology and Child Health (125 citations) and Statistics and Probability (23 citations). Dyson T. Wake has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Henry M. Dunnenberger, D. Max Smith, Peter J. Hulick, Nicole Glaser, Amy A. Lemke, Sadaf Kazi, Christina G. Selkirk, Kristin Weitzel, Larisa H. Cavallari and Taimour Langaee. Their work appears in journals such as Pharmacogenomics, Clinical Pharmacology & Therapeutics, Journal of Personalized Medicine, Genetics in Medicine and Cancers.
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.