Vincent Peterkin
- Pharmacology top 0.5%
- Oncology top 10%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- J. Andrew WilliamsTheunis C. GoosenSusan HurstDennis A. SmithRuth HylandJeffrey R. KoupS. BallBarry Jones
- Topics
- Pharmacogenetics and Drug Metabolism (7 papers)Drug Transport and Resistance Mechanisms (3 papers)Computational Drug Discovery Methods (3 papers)
- Journals
- British Journal of Clinical PharmacologyDrug Metabolism and DispositionAdvances in experimental medicine and biology
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Vincent Peterkin
10 papers receiving 788 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Pharmacology 563
- Oncology 315
- Molecular Biology 252
- Computational Theory and Mathematics 131
- Pediatrics, Perinatology and Child Health 119
Countries citing papers authored by Vincent Peterkin
This map shows the geographic impact of Vincent Peterkin'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 Vincent Peterkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Peterkin more than expected).
Fields of papers citing papers by Vincent Peterkin
This network shows the impact of papers produced by Vincent Peterkin. 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 Vincent Peterkin. The network helps show where Vincent Peterkin may publish in the future.
Co-authorship network of co-authors of Vincent Peterkin
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Peterkin. A scholar is included among the top collaborators of Vincent Peterkin 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 Vincent Peterkin. Vincent Peterkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 37 | |
| 7 | 46 | |
| 8 | 16 | |
| 9 | DRUG-DRUG INTERACTIONS FOR UDP-GLUCURONOSYLTRANSFERASE SUBSTRATES: A PHARMACOKINETIC EXPLANATION FOR TYPICALLY OBSERVED LOW EXPOSURE (AUCI/AUC) RATIOSbreakdown → | 687 |
| 10 | 2 |
About Vincent Peterkin
Vincent Peterkin is a scholar working on Pharmacology, Molecular Medicine and Computational Theory and Mathematics, having authored 10 papers that have together received 818 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Drug Transport and Resistance Mechanisms (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Pharmacology (563 citations), Oncology (315 citations) and Computational Theory and Mathematics (131 citations). Vincent Peterkin has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include J. Andrew Williams, Theunis C. Goosen, Susan Hurst, Dennis A. Smith, Ruth Hyland, Jeffrey R. Koup, S. Ball, Barry Jones, Jonathan Bauman and Scott P. Myrand. Their work appears in journals such as British Journal of Clinical Pharmacology, Drug Metabolism and Disposition and Advances in experimental medicine and biology.
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.