Laura E. Randle
Impact in
- Pharmacology top 1%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Hepatology top 10%
Papers in
-
- Drug-Induced Hepatotoxicity and Protection 8
- Pharmacogenetics and Drug Metabolism 3
-
- Genomics, phytochemicals, and oxidative stress 5
- Glutathione Transferases and Polymorphisms 4
- Co-authors
- Christopher E. Goldring (11 shared papers)Neil R. Kitteringham (6 shared papers)John D. Hayes (3 shared papers)Dominic P. Williams (6 shared papers)Rosalind E. Jenkins (3 shared papers)Masayuki Yamamoto (2 shared papers)B. Kevin Park (2 shared papers)Kevin B. Park (1 shared paper)
- Journals
- European Journal of Surgical Oncology (3 papers)Hepatology (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Laura E. Randle
17 papers receiving 786 citations
Peers
Comparison fields: 5 of 87
- Pharmacology 308
- Hepatology 103
- Molecular Biology 378
- Computational Theory and Mathematics 83
- Biochemistry 38
Countries citing papers authored by Laura E. Randle
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
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-authors
The 25 scholars most cited alongside Laura E. Randle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 168 | |
| 2 | 2010 | 140 | |
| 3 | 2003 | 112 | |
| 4 | 2008 | 104 | |
| 5 | 2012 | 63 | |
| 6 | 2007 | 50 | |
| 7 | 2007 | 50 | |
| 8 | 2005 | 31 | |
| 9 | 2007 | 30 | |
| 10 | 2015 | 25 | |
| 11 | 2018 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2018 | 6 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Laura E. Randle
Laura E. Randle is a scholar working on Pharmacology, Molecular Biology, Surgery, Oncology and Hepatology, having authored 19 papers that have together received 807 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (8 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Glutathione Transferases and Polymorphisms (4 papers), Malaria Research and Control (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Liver physiology and pathology (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Pharmacology (308 citations), Hepatology (103 citations), Molecular Biology (378 citations), Computational Theory and Mathematics (83 citations) and Biochemistry (38 citations). Laura E. Randle has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Christopher E. Goldring, Neil R. Kitteringham, John D. Hayes, Dominic P. Williams, Rosalind E. Jenkins, Masayuki Yamamoto, B. Kevin Park, Kevin B. Park, Y Clément and Ken Itoh. Their work appears in journals such as European Journal of Surgical Oncology, Hepatology, PLoS ONE, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.
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.