James M. Grace

517 citations
12 papers · 426 · h-index 8

Impact in

Papers in

    • Drug-Induced Hepatotoxicity and Protection 5
    • Pharmacogenetics and Drug Metabolism 4
    • Drug Transport and Resistance Mechanisms 3

James M. Grace

12 papers receiving 413 citations

Peers

James M. Grace
Comparison fields: 5 of 72
  • Pharmacology 149
  • Public Health, Environmental and Occupational Health 227
  • Computational Theory and Mathematics 107
  • Infectious Diseases 42
  • Oncology 56
Replace Xun Luo with:
Xun Luo China
Kiran C. Patki United States
Gunther Wernsdorfer Austria
Jean‐René Kiechel Switzerland
Dinh Xuan Huong Sweden
Trinh Ngoc Hai Sweden
Sanjiv Mehrotra United States
J.R. Kiechel France
Anna Furimsky United States
Howard Miller United States
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Citations per field
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Citations per year

Countries citing papers authored by James M. Grace

Since Specialization
Citations

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

Fields of papers citing papers by James M. Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Grace. 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 M. Grace. The network helps show where James M. Grace may publish in the future.

Co-authors

The 21 scholars most cited alongside James M. Grace, 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 M. Grace Line = papers co-authored together James M. Grace links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2000173
2
Metabolism of beta-arteether to dihydroqinghaosu by human liver microsomes and recombinant cytochrome P450.
199884
3 199458
4 200031
5 199924
6 199619
7 199615
8 19997
9 19975
10 19974
11 20083
12 19943

About James M. Grace

James M. Grace is a scholar working on Pharmacology, Oncology, Public Health, Environmental and Occupational Health, Organic Chemistry and Molecular Biology, having authored 12 papers that have together received 426 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Malaria Research and Control (3 papers), Cancer therapeutics and mechanisms (2 papers), Computational Drug Discovery Methods (2 papers), Bioactive Compounds and Antitumor Agents (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Pharmacology (149 citations), Public Health, Environmental and Occupational Health (227 citations), Computational Theory and Mathematics (107 citations), Infectious Diseases (42 citations) and Oncology (56 citations). James M. Grace has collaborated with scholars based in United States, Thailand and Malaysia. Frequent co-authors include Timothy L. Macdonald, Piero Olliaro, Sharif Mahsufi Mansor, Qigui Li, Nam Weng Sit, Visweswaran Navaratnam, Michael Kinter, James O. Peggins, Thomas G. Brewer and Richard D. Pearson. Their work appears in journals such as Clinical Pharmacokinetics, American Journal of Tropical Medicine and Hygiene, Xenobiotica, Antimicrobial Agents and Chemotherapy and Journal of Liquid Chromatography & Related Technologies.

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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