James L. Maggs

5.7k citations
109 papers · 4.5k indexed · h-index 40

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 46
    • Drug-Induced Hepatotoxicity and Protection 18
    • Drug-Induced Adverse Reactions 13
    • Inflammatory mediators and NSAID effects 8

James L. Maggs

108 papers receiving 4.3k citations

Peers

James L. Maggs
Comparison fields: 5 of 137
  • Pharmacology 1.5k
  • Pharmacology 698
  • Computational Theory and Mathematics 592
  • Toxicology 111
  • Biochemistry 206
Replace Neil R. Kitteringham with:
Neil R. Kitteringham United Kingdom
Matthew M. Ames United States
Edward H. Kerns United States
Rory P. Remmel United States
Jiunn H. Lin United States
Li Di United States
Deborah A. Nicoll‐Griffith Canada
Thomas H. Rushmore United States
Keith W. Ward United States
James W. Paxton New Zealand
James L. Maggs relative to Neil R. Kitteringham United Kingdom Neil R. Kitteringham's profile →
Citations per field
00.5×1.5×2.0×
Neil R. Kitteringham · 1×
Citations per year

Countries citing papers authored by James L. Maggs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with James L. Maggs Line = papers co-authored together James L. Maggs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201822
2 201450
3 201321
4 201172
5 2009121
6 200946
7 200833
8 20086
9 200638
10 2002111
11 200191
12 200022
13 199942
14 19984
15 199748
16 199712
17 199213
18 199219
19 199240
20 198814

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.

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