M.J. Garle
Impact in
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Biochemistry top 10%
- Sulfur Compounds in Biology
Papers in
-
- Pharmacogenetics and Drug Metabolism 6
- Drug-Induced Hepatotoxicity and Protection 3
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- Sulfur Compounds in Biology 3
- Eicosanoids and Hypertension Pharmacology 3
- Co-authors
- Jeffrey R. Fry (9 shared papers)S P H Alexander (4 shared papers)Julia H. Fentem (2 shared papers)Katherine N. Hewitt (1 shared paper)Yu Sun (1 shared paper)Claire L. Gibson (1 shared paper)Suzanne P. Murphy (1 shared paper)Andrew J. Bennett (1 shared paper)
- Journals
- Toxicology in Vitro (13 papers)Xenobiotica (2 papers)British Journal of Pharmacology (2 papers)Pharmacological Research (1 paper)Toxicology and Applied Pharmacology (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
M.J. Garle
24 papers receiving 527 citations
Peers
Comparison fields: 5 of 96
- Pharmacology 168
- Biochemistry 74
- Pharmacology 71
- Small Animals 61
- Endocrine and Autonomic Systems 31
Countries citing papers authored by M.J. Garle
This map shows the geographic impact of M.J. Garle'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 M.J. Garle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.J. Garle more than expected).
Fields of papers citing papers by M.J. Garle
This network shows the impact of papers produced by M.J. Garle. 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 M.J. Garle. The network helps show where M.J. Garle may publish in the future.
Co-authors
The 25 scholars most cited alongside M.J. Garle, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 193 | |
| 2 | 1994 | 65 | |
| 3 | 1992 | 32 | |
| 4 | 2012 | 31 | |
| 5 | 1998 | 30 | |
| 6 | 1990 | 28 | |
| 7 | 1992 | 17 | |
| 8 | 2017 | 16 | |
| 9 | 2018 | 14 | |
| 10 | 1999 | 14 | |
| 11 | 1999 | 13 | |
| 12 | 2008 | 13 | |
| 13 | 2014 | 10 | |
| 14 | 1988 | 10 | |
| 15 | 2002 | 9 | |
| 16 | 1994 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 1994 | 7 | |
| 19 | 1996 | 6 | |
| 20 | 1990 | 6 |
About M.J. Garle
M.J. Garle is a scholar working on Pharmacology, Biochemistry, Small Animals, Molecular Biology and Computational Theory and Mathematics, having authored 24 papers that have together received 544 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Animal testing and alternatives (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Sulfur Compounds in Biology (3 papers), Computational Drug Discovery Methods (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Pesticide Exposure and Toxicity (2 papers). The work is most often cited by research in Pharmacology (168 citations), Biochemistry (74 citations), Pharmacology (71 citations), Small Animals (61 citations) and Endocrine and Autonomic Systems (31 citations). M.J. Garle has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Jeffrey R. Fry, S P H Alexander, Julia H. Fentem, Katherine N. Hewitt, Yu Sun, Claire L. Gibson, Suzanne P. Murphy, Andrew J. Bennett, Dave Kendal and Alison H. Hammond. Their work appears in journals such as Toxicology in Vitro, Xenobiotica, British Journal of Pharmacology, Pharmacological Research and Toxicology and Applied Pharmacology.
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.