Kathryn Pickup

1.1k total citations · 1 hit paper
15 papers, 848 citations indexed

About

Kathryn Pickup is a scholar working on Oncology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Kathryn Pickup has authored 15 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 9 papers in Pharmacology and 3 papers in Organic Chemistry. Recurrent topics in Kathryn Pickup's work include Drug Transport and Resistance Mechanisms (10 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Kathryn Pickup is often cited by papers focused on Drug Transport and Resistance Mechanisms (10 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Kathryn Pickup collaborates with scholars based in United Kingdom, Sweden and United States. Kathryn Pickup's co-authors include Mireille Cantarini, Peter Ballard, Darren A.E. Cross, Zhenfan Yang, Katarina Varnäs, Pasi A. Jänne, Jonas Malmquist, Matthew Box, James Yates and Peter Johnström and has published in prestigious journals such as Clinical Cancer Research, Biochemical Pharmacology and Drug Metabolism and Disposition.

In The Last Decade

Kathryn Pickup

14 papers receiving 838 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Preclinical Comparison of Osimertinib with Other EGFR-TKIs in EGFR-Mutant NSCLC Brain Metastases Models, and Early Evidence of Clinical Brain Metastases Activity

2016 523 citations Peter Ballard, James Yates et al. Clinical Cancer Research profile →

Peers

Kathryn Pickup

PRM

ONCOL

PHARM

GENET

Kenji Takanashi Japan

Mohamed Elmeliegy United States

Meera Tugnait United States

You-Ai He United States

Benny Amore United States

D. McKillop United Kingdom

Alex McCormick United Kingdom

Suoping Zhai United States

Yvonne Lau United States

Stefan S. De Buck United States

Kenji Takanashi Japan

Kathryn Pickup

338 ×0.6

PRM

440 ×0.8

ONCOL

310 ×1.2

248 ×2.3

PHARM

39 ×0.6

GENET

Citations per year, relative to Kathryn Pickup Kathryn Pickup (= 1×) peers Kenji Takanashi

Countries citing papers authored by Kathryn Pickup

Since Specialization

Citations

This map shows the geographic impact of Kathryn Pickup'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 Kathryn Pickup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Pickup more than expected).

Fields of papers citing papers by Kathryn Pickup

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn Pickup. 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 Kathryn Pickup. The network helps show where Kathryn Pickup may publish in the future.

Co-authorship network of co-authors of Kathryn Pickup

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

All Works

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15 of 15 papers shown

Ballard, Peter, James Yates, Zhenfan Yang, et al.. (2016). Preclinical Comparison of Osimertinib with Other EGFR-TKIs in EGFR-Mutant NSCLC Brain Metastases Models, and Early Evidence of Clinical Brain Metastases Activity. Clinical Cancer Research. 22(20). 5130–5140. 523 indexed citations breakdown →

Pickup, Kathryn, Scott Martin, E. A. Partridge, et al.. (2016). Acute liver effects, disposition and metabolic fate of [14C]-fenclozic acid following oral administration to normal and bile-cannulated male C57BL/6J mice. Archives of Toxicology. 91(7). 2643–2653. 3 indexed citations

Dickinson, Paul A., Mireille Cantarini, Paul Frewer, et al.. (2016). Metabolic Disposition of Osimertinib in Rats, Dogs, and Humans: Insights into a Drug Designed to Bind Covalently to a Cysteine Residue of Epidermal Growth Factor Receptor. Drug Metabolism and Disposition. 44(8). 1201–1212. 105 indexed citations

Samuelsson, Kristin, Kathryn Pickup, Sunil Sarda, et al.. (2014). Troglitazone metabolism and transporter effects in chimeric mice: a comparison between chimeric humanized and chimeric murinized FRG mice. Xenobiotica. 44(2). 186–195. 11 indexed citations

Foster, Alison J., Richard T. Gallagher, Michael G. Hutchison, et al.. (2014). A comparison of the metabolism of midazolam in C57BL/6J and hepatic reductase null (HRN) mice. Biochemical Pharmacology. 92(4). 701–711. 5 indexed citations

Gallagher, Richard T., et al.. (2013). Drug–drug interactions and metabolism in cytochrome P450 2C knockout mice: Application to troleandomycin and midazolam. Biochemical Pharmacology. 86(4). 529–538. 13 indexed citations

Pickup, Kathryn, Jonathan Wills, Huw B. Jones, et al.. (2013). The metabolic fate of [¹⁴C]-fenclozic acid in the hepatic reductase null (HRN) mouse. Xenobiotica. 44(2). 164–173. 8 indexed citations

Sarda, Sunil, E. A. Partridge, Kathryn Pickup, Alan McCarthy, & Ian D. Wilson. (2013). HPLC–MS Profiling and Structural Identification of [14C]-Diclofenac Metabolites in Mouse Bile. Chromatographia. 77(3-4). 233–239. 4 indexed citations

Samuelsson, Kristin, Kathryn Pickup, Sunil Sarda, et al.. (2012). Pharmacokinetics and metabolism of midazolam in chimeric mice with humanised livers. Xenobiotica. 42(11). 1128–1137. 18 indexed citations

10.

Berkel, Gary J. Van, Kathryn Pickup, Roderic O. Cole, et al.. (2011). Utility of spatially-resolved atmospheric pressure surface sampling and ionization techniques as alternatives to mass spectrometric imaging (MSI) in drug metabolism. Xenobiotica. 41(8). 720–734. 32 indexed citations

11.

Sarda, Sunil, et al.. (2011). Diclofenac metabolism in the mouse: Novelin vivometabolites identified by high performance liquid chromatography coupled to linear ion trap mass spectrometry. Xenobiotica. 42(2). 179–194. 53 indexed citations

12.

Pickup, Kathryn, et al.. (2011). The hepatic reductase null mouse as a model for exploring hepatic conjugation of xenobiotics: Application to the metabolism of diclofenac. Xenobiotica. 42(2). 195–205. 15 indexed citations

13.

McKillop, D., Alex McCormick, P. J. Phillips, et al.. (2004). In vitrometabolism of gefitinib in human liver microsomes. Xenobiotica. 34(11-12). 983–1000. 54 indexed citations

14.

McKillop, David & Kathryn Pickup. (1991). Different inhibition and induction profiles of hepatic drug metabolism in rats and dogs by two structurally related pyridyl diazinone cardiotonic agents. Biochemical Pharmacology. 41(3). 411–417. 1 indexed citations

15.

McKillop, D., et al.. (1990). The metabolic disposition of an orally active pyridyl thiadiazinone cardiotonic agent (MPTD) in rat and baboon. Xenobiotica. 20(4). 401–415. 3 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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