Beth Williamson
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
-
- Computational Drug Discovery Methods
Papers in
- Pharmacology 13
- Pharmacogenetics and Drug Metabolism 12
- Drug-Induced Hepatotoxicity and Protection 2
- Oncology 11
- Drug Transport and Resistance Mechanisms 8
- Co-authors
- Dermot F. McGinnity (3 shared papers)Stephanie Harlfinger (2 shared papers)Andy Pike (2 shared papers)Scott Martin (1 shared paper)Andrew Owen (2 shared papers)Robert J. Riley (6 shared papers)Kelly E. Dooley (1 shared paper)Yuan Zhang (1 shared paper)
- Journals
- Molecular Pharmaceutics (3 papers)Drug Metabolism and Disposition (2 papers)Xenobiotica (2 papers)Biopharmaceutics & Drug Disposition (2 papers)Expert Opinion on Drug Metabolism & Toxicology (2 papers)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Beth Williamson
25 papers receiving 726 citations
Peers
Comparison fields: 5 of 86
- Pharmacology 168
- Computational Theory and Mathematics 166
- Oncology 228
- Molecular Biology 309
- Hematology 45
Countries citing papers authored by Beth Williamson
This map shows the geographic impact of Beth Williamson'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 Beth Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Williamson more than expected).
Fields of papers citing papers by Beth Williamson
This network shows the impact of papers produced by Beth Williamson. 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 Beth Williamson. The network helps show where Beth Williamson may publish in the future.
Co-authors
The 25 scholars most cited alongside Beth Williamson, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 164 | |
| 2 | 2013 | 112 | |
| 3 | 2019 | 70 | |
| 4 | 2021 | 63 | |
| 5 | 2022 | 53 | |
| 6 | 2020 | 32 | |
| 7 | 2013 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2022 | 28 | |
| 10 | 1975 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2022 | 16 | |
| 13 | 2020 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2017 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2018 | 9 |
About Beth Williamson
Beth Williamson is a scholar working on Pharmacology, Oncology, Molecular Biology, Computational Theory and Mathematics and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 751 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Drug Transport and Resistance Mechanisms (8 papers), Computational Drug Discovery Methods (7 papers), Pharmacological Effects and Toxicity Studies (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and Phagocytosis and Immune Regulation (2 papers). The work is most often cited by research in Pharmacology (168 citations), Computational Theory and Mathematics (166 citations), Oncology (228 citations), Molecular Biology (309 citations) and Hematology (45 citations). Beth Williamson has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Dermot F. McGinnity, Stephanie Harlfinger, Andy Pike, Scott Martin, Andrew Owen, Robert J. Riley, Kelly E. Dooley, Yuan Zhang, David Back and Filip Miljković. Their work appears in journals such as Molecular Pharmaceutics, Drug Metabolism and Disposition, Xenobiotica, Biopharmaceutics & Drug Disposition and Expert Opinion on Drug Metabolism & Toxicology.
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.