James L. Maggs
Impact in
- Pharmacology top 0.1%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Drug-Induced Adverse Reactions
-
- Computational Drug Discovery Methods
Papers in
- Pharmacology 55
- Pharmacogenetics and Drug Metabolism 46
- Drug-Induced Hepatotoxicity and Protection 18
- Drug-Induced Adverse Reactions 13
- Inflammatory mediators and NSAID effects 8
- Biochemistry 10
- Co-authors
- Munir PirmohamedDominic P. WilliamsPaul M. O’NeillDean J. NaisbittB.K. ParkNeil R. KitteringhamB. Kevin ParkAndrew V. Stachulski
- Journals
- Chemical Research in Toxicology (14 papers)Biochemical Pharmacology (13 papers)Journal of Pharmacology and Experimental Therapeutics (11 papers)Journal of Medicinal Chemistry (10 papers)Xenobiotica (7 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
James L. Maggs
108 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 137
- Pharmacology 1.5k
- Pharmacology 698
- Computational Theory and Mathematics 592
- Toxicology 111
- Biochemistry 206
Countries citing papers authored by James L. Maggs
This map shows the geographic impact of James L. Maggs'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 James L. Maggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James L. Maggs more than expected).
Fields of papers citing papers by James L. Maggs
This network shows the impact of papers produced by James L. Maggs. 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 James L. Maggs. The network helps show where James L. Maggs may publish in the future.
Co-authors
The 25 scholars most cited alongside James L. Maggs, 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 | 2018 | 22 | |
| 2 | 2014 | 50 | |
| 3 | 2013 | 21 | |
| 4 | 2011 | 72 | |
| 5 | 2009 | 121 | |
| 6 | 2009 | 46 | |
| 7 | 2008 | 33 | |
| 8 | 2008 | 6 | |
| 9 | 2006 | 38 | |
| 10 | 2002 | 111 | |
| 11 | 2001 | 91 | |
| 12 | 2000 | 22 | |
| 13 | 1999 | 42 | |
| 14 | 1998 | 4 | |
| 15 | 1997 | 48 | |
| 16 | 1997 | 12 | |
| 17 | 1992 | 13 | |
| 18 | 1992 | 19 | |
| 19 | 1992 | 40 | |
| 20 | 1988 | 14 |
About James L. Maggs
James L. Maggs is a scholar working on Pharmacology, Biochemistry, Pharmacology, Oncology and Biological Psychiatry, having authored 109 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (46 papers), Drug Transport and Resistance Mechanisms (19 papers), Drug-Induced Hepatotoxicity and Protection (18 papers), Malaria Research and Control (18 papers), Estrogen and related hormone effects (16 papers), Drug-Induced Adverse Reactions (13 papers), Inflammatory mediators and NSAID effects (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Pharmacology (1.5k citations), Pharmacology (698 citations), Computational Theory and Mathematics (592 citations), Toxicology (111 citations) and Biochemistry (206 citations). James L. Maggs has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Munir Pirmohamed, Dominic P. Williams, Paul M. O’Neill, Dean J. Naisbitt, B.K. Park, Neil R. Kitteringham, B. Kevin Park, Andrew V. Stachulski, B. Kevin Park and Malcolm D. Tingle. Their work appears in journals such as Chemical Research in Toxicology, Biochemical Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry and Xenobiotica.
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.