D.A. Buyske
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Antibiotics Pharmacokinetics and Efficacy
- Biochemistry top 10%
Papers in
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- Coenzyme Q10 studies and effects 3
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- Pharmacogenetics and Drug Metabolism 5
- Antibiotics Pharmacokinetics and Efficacy 3
- Co-authors
- Edwin A. Peets (7 shared papers)Robert G. Kelly (3 shared papers)Robert G. Kelly (2 shared papers)James R. Florini (5 shared papers)S. Gordon (2 shared papers)Virgil A. Place (2 shared papers)Marcus E. Hobbs (3 shared papers)Tibor Balázs (2 shared papers)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (4 papers)Analytical Chemistry (3 papers)Journal of Biological Chemistry (3 papers)Life Sciences (3 papers)Biochemical Pharmacology (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
D.A. Buyske
27 papers receiving 743 citations
Peers
Comparison fields: 5 of 122
- Pharmacology 112
- Biochemistry 78
- Ophthalmology 76
- Pharmaceutical Science 56
- Clinical Biochemistry 45
Countries citing papers authored by D.A. Buyske
This map shows the geographic impact of D.A. Buyske'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 D.A. Buyske with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.A. Buyske more than expected).
Fields of papers citing papers by D.A. Buyske
This network shows the impact of papers produced by D.A. Buyske. 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 D.A. Buyske. The network helps show where D.A. Buyske may publish in the future.
Co-authors
The 20 scholars most cited alongside D.A. Buyske, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1961 | 207 | |
| 2 | 1960 | 78 | |
| 3 | 1965 | 72 | |
| 4 | 1965 | 64 | |
| 5 | 1960 | 63 | |
| 6 | 1961 | 58 | |
| 7 | 1956 | 49 | |
| 8 | 1953 | 44 | |
| 9 | 1966 | 40 | |
| 10 | 1966 | 35 | |
| 11 | 1964 | 35 | |
| 12 | 1961 | 32 | |
| 13 | 1952 | 30 | |
| 14 | 1964 | 25 | |
| 15 | 1966 | 23 | |
| 16 | 1954 | 20 | |
| 17 | 1961 | 18 | |
| 18 | 1957 | 18 | |
| 19 | 1961 | 17 | |
| 20 | 1960 | 15 |
About D.A. Buyske
D.A. Buyske is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Pharmaceutical Science and Ophthalmology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Drug-Induced Ocular Toxicity (4 papers), Chemical Reactions and Isotopes (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Neurological diseases and metabolism (3 papers), Coenzyme Q10 studies and effects (3 papers), Hormonal and reproductive studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Pharmacology (112 citations), Biochemistry (78 citations), Ophthalmology (76 citations), Pharmaceutical Science (56 citations) and Clinical Biochemistry (45 citations). D.A. Buyske has collaborated with scholars based in United States and China. Frequent co-authors include Edwin A. Peets, Robert G. Kelly, Robert G. Kelly, James R. Florini, S. Gordon, Virgil A. Place, Marcus E. Hobbs, Tibor Balázs, F. M. Strong and Robert E. Handschumacher. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Analytical Chemistry, Journal of Biological Chemistry, Life Sciences and Biochemical Pharmacology.
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.