Beth Williamson

1.1k total citations
25 papers, 685 citations indexed

About

Beth Williamson is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Beth Williamson has authored 25 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pharmacology, 10 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Beth Williamson's work include Pharmacogenetics and Drug Metabolism (14 papers), Computational Drug Discovery Methods (9 papers) and Drug Transport and Resistance Mechanisms (7 papers). Beth Williamson is often cited by papers focused on Pharmacogenetics and Drug Metabolism (14 papers), Computational Drug Discovery Methods (9 papers) and Drug Transport and Resistance Mechanisms (7 papers). Beth Williamson collaborates with scholars based in United Kingdom, United States and Poland. Beth Williamson's co-authors include Dermot F. McGinnity, Stephanie Harlfinger, Andy Pike, Scott Martin, Andrew Owen, Yuan Zhang, Kelly E. Dooley, David Back, Robert J. Riley and Filip Miljković and has published in prestigious journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy and Journal of Chromatography A.

In The Last Decade

Beth Williamson

25 papers receiving 660 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beth Williamson United Kingdom 13 310 229 167 165 75 25 685
Rhys D.O. Jones United Kingdom 14 264 0.9× 306 1.3× 400 2.4× 243 1.5× 29 0.4× 32 925
Ragini Vuppugalla United States 16 214 0.7× 304 1.3× 458 2.7× 150 0.9× 35 0.5× 27 898
Yuzhuo Pan United States 13 348 1.1× 260 1.1× 153 0.9× 38 0.2× 29 0.4× 27 845
Frank W. Lee United States 13 173 0.6× 184 0.8× 218 1.3× 82 0.5× 37 0.5× 21 698
Graeme Young United Kingdom 15 207 0.7× 128 0.6× 146 0.9× 55 0.3× 28 0.4× 37 655
Faraz Kazmi United States 10 194 0.6× 156 0.7× 246 1.5× 55 0.3× 41 0.5× 17 591
Jason Halladay United States 16 328 1.1× 255 1.1× 344 2.1× 112 0.7× 23 0.3× 42 769
Keith Riccardi United States 17 349 1.1× 276 1.2× 229 1.4× 112 0.7× 194 2.6× 32 949
Vikash K. Sinha Belgium 11 178 0.6× 338 1.5× 520 3.1× 216 1.3× 31 0.4× 12 878
Paul Seo United States 16 204 0.7× 115 0.5× 84 0.5× 87 0.5× 26 0.3× 24 779

Countries citing papers authored by Beth Williamson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Beth Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Beth Williamson. A scholar is included among the top collaborators of Beth Williamson 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 Beth Williamson. Beth Williamson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Obrezanova, Olga, Thomas M. Whitehead, Andreas Bender, et al.. (2022). Prediction of In Vivo Pharmacokinetic Parameters and Time–Exposure Curves in Rats Using Machine Learning from the Chemical Structure. Molecular Pharmaceutics. 19(5). 1488–1504. 46 indexed citations
2.
Miljković, Filip, et al.. (2022). Comparing the applications of machine learning, PBPK, and population pharmacokinetic models in pharmacokinetic drug–drug interaction prediction. CPT Pharmacometrics & Systems Pharmacology. 11(12). 1560–1568. 22 indexed citations
3.
Goldberg, Frederick W., Attilla Ting, David T. Beattie, et al.. (2022). Optimization of hERG and Pharmacokinetic Properties for Basic Dihydro-8H-purin-8-one Inhibitors of DNA-PK. ACS Medicinal Chemistry Letters. 13(8). 1295–1301. 7 indexed citations
4.
Miljković, Filip, et al.. (2022). Evaluating the performance of machine‐learning regression models for pharmacokinetic drug–drug interactions. CPT Pharmacometrics & Systems Pharmacology. 12(1). 122–134. 12 indexed citations
5.
Cox, Benoit, Johan Nicolaï, & Beth Williamson. (2022). The role of the efflux transporter, P‐glycoprotein, at the blood–brain barrier in drug discovery. Biopharmaceutics & Drug Disposition. 44(1). 113–126. 23 indexed citations
6.
Hamm, Grégory, Gareth Maglennon, Beth Williamson, et al.. (2022). Pharmacological inhibition of MERTK induces in vivo retinal degeneration: a multimodal imaging ocular safety assessment. Archives of Toxicology. 96(2). 613–624. 8 indexed citations
7.
Williamson, Beth, et al.. (2022). Harnessing Clinical Trial and Real-World Data Towards an Understanding of Sex Effects on Drug Pharmacokinetics, Pharmacodynamics and Efficacy. Frontiers in Pharmacology. 13. 874606–874606. 9 indexed citations
8.
Williamson, Beth, Lindsay McMurray, Scott Boyd, et al.. (2022). Identification and Strategies to Mitigate High Total Clearance of Benzylamine-Substituted Biphenyl Ring Systems. Molecular Pharmaceutics. 19(7). 2115–2132. 2 indexed citations
9.
Miljković, Filip, Olga Obrezanova, Beth Williamson, et al.. (2021). Machine Learning Models for Human In Vivo Pharmacokinetic Parameters with In-House Validation. Molecular Pharmaceutics. 18(12). 4520–4530. 59 indexed citations
10.
O’Donovan, Daniel H., Martin J. Packer, Ryan Greenwood, et al.. (2021). Free energy perturbation in the design of EED ligands as inhibitors of polycomb repressive complex 2 (PRC2) methyltransferase. Bioorganic & Medicinal Chemistry Letters. 39. 127904–127904. 11 indexed citations
11.
Williamson, Beth, Stephanie Harlfinger, & Dermot F. McGinnity. (2020). Evaluation of the Disconnect between Hepatocyte and Microsome Intrinsic Clearance and In Vitro In Vivo Extrapolation Performance. Drug Metabolism and Disposition. 48(11). 1137–1146. 30 indexed citations
12.
Pike, Andy, Beth Williamson, Stephanie Harlfinger, Scott Martin, & Dermot F. McGinnity. (2020). Optimising proteolysis-targeting chimeras (PROTACs) for oral drug delivery: a drug metabolism and pharmacokinetics perspective. Drug Discovery Today. 25(10). 1793–1800. 155 indexed citations
13.
Srivastava, Abhishek, Andy Pike, Beth Williamson, & Katherine S. Fenner. (2020). A Novel Method for Preventing Non-specific Binding in Equilibrium Dialysis Assays Using Solutol® as an Additive. Journal of Pharmaceutical Sciences. 110(3). 1412–1417. 13 indexed citations
14.
Goldberg, Frederick W., M. Raymond V. Finlay, Attilla Ting, et al.. (2019). The Discovery of 7-Methyl-2-[(7-methyl[1,2,4]triazolo[1,5-a]pyridin-6-yl)amino]-9-(tetrahydro-2H-pyran-4-yl)-7,9-dihydro-8H-purin-8-one (AZD7648), a Potent and Selective DNA-Dependent Protein Kinase (DNA-PK) Inhibitor. Journal of Medicinal Chemistry. 63(7). 3461–3471. 66 indexed citations
15.
Williamson, Beth, et al.. (2018). Development and Characterization of a Human Hepatocyte Low Intrinsic Clearance Assay for Use in Drug Discovery. Drug Metabolism and Disposition. 46(8). 1169–1178. 9 indexed citations
16.
Williamson, Beth, et al.. (2016). Harmonised high throughput microsomal stability assay. Journal of Pharmacological and Toxicological Methods. 84. 31–36. 19 indexed citations
17.
Williamson, Beth, et al.. (2016). Evaluation of a novel PXR‐knockout in HepaRG™cells. Pharmacology Research & Perspectives. 4(5). e00264–e00264. 7 indexed citations
18.
Williamson, Beth, et al.. (2013). Dissecting the relative contribution of OATP1B1-mediated uptake of xenobiotics into human hepatocytes using siRNA. Xenobiotica. 43(10). 920–931. 27 indexed citations
19.
Williamson, Beth, Kelly E. Dooley, Yuan Zhang, David Back, & Andrew Owen. (2013). Induction of Influx and Efflux Transporters and Cytochrome P450 3A4 in Primary Human Hepatocytes by Rifampin, Rifabutin, and Rifapentine. Antimicrobial Agents and Chemotherapy. 57(12). 6366–6369. 105 indexed citations
20.
Bailey, F. James, et al.. (1975). Automated chromatographic determination of chlorhexidine in pharmaceutical preparations. Journal of Chromatography A. 109(2). 305–312. 20 indexed citations

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.

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