Laura E. Randle

1.0k total citations
19 papers, 807 citations indexed

About

Laura E. Randle is a scholar working on Pharmacology, Molecular Biology and Surgery. According to data from OpenAlex, Laura E. Randle has authored 19 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Laura E. Randle's work include Drug-Induced Hepatotoxicity and Protection (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Laura E. Randle is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Laura E. Randle collaborates with scholars based in United Kingdom, United States and Japan. Laura E. Randle's co-authors include Christopher E. Goldring, Neil R. Kitteringham, Dominic P. Williams, John D. Hayes, Rosalind E. Jenkins, Masayuki Yamamoto, B. Kevin Park, Ken Itoh, Robert Elsby and Kevin B. Park and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Laura E. Randle

17 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura E. Randle United Kingdom 11 378 308 114 103 94 19 807
Daniel Fau France 19 457 1.2× 519 1.7× 158 1.4× 88 0.9× 159 1.7× 31 1.3k
Chenshu Xu China 17 271 0.7× 347 1.1× 78 0.7× 49 0.5× 226 2.4× 31 834
Ahmed E. Khodir Egypt 19 397 1.1× 91 0.3× 86 0.8× 35 0.3× 89 0.9× 31 789
Jouko Uusitalo Finland 18 350 0.9× 547 1.8× 40 0.4× 76 0.7× 243 2.6× 23 1.1k
Shingo Oda Japan 19 368 1.0× 455 1.5× 74 0.6× 76 0.7× 221 2.4× 53 962
James Greenhaw United States 18 308 0.8× 256 0.8× 79 0.7× 78 0.8× 93 1.0× 25 696
Liyun Yuan United States 10 296 0.8× 346 1.1× 271 2.4× 188 1.8× 135 1.4× 21 914
Yasuhiro Masubuchi Japan 16 153 0.4× 598 1.9× 115 1.0× 221 2.1× 242 2.6× 29 902
Anna-Karin Sohlenius-Sternbeck Sweden 12 171 0.5× 282 0.9× 54 0.5× 70 0.7× 212 2.3× 22 594
Xiuhong Wu China 15 624 1.7× 223 0.7× 104 0.9× 28 0.3× 48 0.5× 59 1.0k

Countries citing papers authored by Laura E. Randle

Since Specialization
Citations

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

Fields of papers citing papers by Laura E. Randle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura E. Randle. 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 Laura E. Randle. The network helps show where Laura E. Randle may publish in the future.

Co-authorship network of co-authors of Laura E. Randle

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

All Works

19 of 19 papers shown
1.
2.
Gilbert, Timothy, et al.. (2024). The importance of preclinical models in cholangiocarcinoma. European Journal of Surgical Oncology. 51(2). 108304–108304. 2 indexed citations
3.
Gilbert, Timothy, et al.. (2024). Developing a patient-derived model of cholangiocarcinoma using Precision Cut Tissue Slices (PCTS).. European Journal of Surgical Oncology. 50(2). 107758–107758. 1 indexed citations
4.
Gilbert, Timothy, Laura E. Randle, Robert Jones, et al.. (2024). Molecular biology of cholangiocarcinoma and its implications for targeted therapy in patient management. European Journal of Surgical Oncology. 51(2). 108352–108352.
5.
Randle, Laura E., et al.. (2022). Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling. PLoS ONE. 17(11). e0275788–e0275788. 4 indexed citations
6.
Gilbert, Timothy, et al.. (2022). HPB O06 Developing a patient-derived model of cholangiocarcinoma using Precision Cut Tissue Slices (PCTS). British journal of surgery. 109(Supplement_9). 1 indexed citations
7.
Leedale, Joseph, et al.. (2018). Modelling the impact of changes in the extracellular environment on the cytosolic free NAD+/NADH ratio during cell culture. PLoS ONE. 13(11). e0207803–e0207803. 10 indexed citations
8.
Randle, Laura E., Michael J. Dascombe, Michael G. B. Drew, et al.. (2018). Synthesis, Structural Determination, and Pharmacology of Putative Dinitroaniline Antimalarials. ChemistrySelect. 3(26). 7572–7580. 6 indexed citations
9.
Fielding, Alistair J., Philip G. Evans, Roger H. Bisby, et al.. (2017). Modulation of Antimalarial Activity at a Putative Bisquinoline Receptor In Vivo Using Fluorinated Bisquinolines. Chemistry - A European Journal. 23(28). 6811–6828. 10 indexed citations
10.
Walsh, Joanne, Laura E. Randle, Ina Schuppe‐Koistinen, et al.. (2015). Adaptation to acetaminophen exposure elicits major changes in expression and distribution of the hepatic proteome. Scientific Reports. 5(1). 16423–16423. 25 indexed citations
11.
Stachulski, Andrew V., Thomas A. Baillie, B. Kevin Park, et al.. (2012). The Generation, Detection, and Effects of Reactive Drug Metabolites. Medicinal Research Reviews. 33(5). 985–1080. 63 indexed citations
12.
Kitteringham, Neil R., Joanne Walsh, Laura E. Randle, et al.. (2010). Proteomic analysis of Nrf2 deficient transgenic mice reveals cellular defence and lipid metabolism as primary Nrf2-dependent pathways in the liver. Journal of Proteomics. 73(8). 1612–1631. 140 indexed citations
13.
Copple, Ian M., Christopher E. Goldring, Rosalind E. Jenkins, et al.. (2008). The hepatotoxic metabolite of acetaminophen directly activates the Keap1‐Nrf2 cell defense system†. Hepatology. 48(4). 1292–1301. 104 indexed citations
14.
Randle, Laura E., et al.. (2007). Investigation of the effect of a panel of model hepatotoxins on the Nrf2-Keap1 defence response pathway in CD-1 mice. Toxicology. 243(3). 249–260. 50 indexed citations
15.
Williams, Dominic P., Daniel J. Antoine, Russell G. Jones, et al.. (2007). The Metabolism and Toxicity of Furosemide in the Wistar Rat and CD-1 Mouse: a Chemical and Biochemical Definition of the Toxicophore. Journal of Pharmacology and Experimental Therapeutics. 322(3). 1208–1220. 50 indexed citations
16.
Randle, Laura E., Jean G. Sathish, N.R. Kitteringham, et al.. (2007). α1‐Adrenoceptor antagonists prevent paracetamol‐induced hepatotoxicity in mice. British Journal of Pharmacology. 153(4). 820–830. 30 indexed citations
17.
Goldring, Christopher E., Neil R. Kitteringham, Rosalind E. Jenkins, et al.. (2005). Development of a transactivator in hepatoma cells that allows expression of phase I, phase II, and chemical defense genes. American Journal of Physiology-Cell Physiology. 290(1). C104–C115. 31 indexed citations
18.
Goldring, Christopher E., Neil R. Kitteringham, Robert Elsby, et al.. (2004). Activation of hepatic Nrf2 in vivo by acetaminophen in CD-1 mice. Hepatology. 39(5). 1267–1276. 168 indexed citations
19.
O’Neill, Paul M., Paul A. Stocks, Laura E. Randle, et al.. (2003). Isoquine and Related Amodiaquine Analogues:  A New Generation of Improved 4-Aminoquinoline Antimalarials. Journal of Medicinal Chemistry. 46(23). 4933–4945. 112 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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