Beth Williamson
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
-
- Computational Drug Discovery Methods
Papers in
- Pharmacology 13
- Pharmacogenetics and Drug Metabolism 12
- Oncology 12
- 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 W. Martin (1 shared paper)Andrew Owen (2 shared papers)Yuan Zhang (1 shared paper)David J. Back (1 shared paper)Kelly E. Dooley (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Molecular Pharmaceutics (3 papers)Expert Opinion on Drug Metabolism & Toxicology (2 papers)Drug Metabolism and Disposition (2 papers)Biopharmaceutics & Drug Disposition (2 papers)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Beth Williamson
29 papers receiving 795 citations
Peers
Comparison fields: 5 of 90
- Pharmacology 168
- Computational Theory and Mathematics 178
- Oncology 225
- Molecular Biology 335
- Hematology 49
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 191 | |
| 2 | 2013 | 119 | |
| 3 | 2021 | 69 | |
| 4 | 2022 | 57 | |
| 5 | 2022 | 38 | |
| 6 | 2020 | 37 | |
| 7 | 2022 | 30 | |
| 8 | 2013 | 29 | |
| 9 | 2021 | 26 | |
| 10 | 2016 | 24 | |
| 11 | 1975 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2022 | 16 | |
| 14 | 2024 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2015 | 12 | |
| 19 | 2024 | 12 | |
| 20 | 2022 | 11 |
About Beth Williamson
Beth Williamson is a scholar working on Pharmacology, Oncology, Computational Theory and Mathematics, Immunology and Pediatrics, Perinatology and Child Health, having authored 29 papers that have together received 830 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), Protein Degradation and Inhibitors (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Phagocytosis and Immune Regulation (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Pharmacology (168 citations), Computational Theory and Mathematics (178 citations), Oncology (225 citations), Molecular Biology (335 citations) and Hematology (49 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 W. Martin, Andrew Owen, Yuan Zhang, David J. Back, Kelly E. Dooley, Robert J. Riley and Filip N. Miljković. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Pharmaceutics, Expert Opinion on Drug Metabolism & Toxicology, Drug Metabolism and Disposition and Biopharmaceutics & Drug Disposition.
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.