Agnès Tran

935 citations
14 papers · 774 · h-index 13

Impact in

    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
    • Cannabis and Cannabinoid Research
    • Epilepsy research and treatment

Papers in

Agnès Tran

14 papers receiving 734 citations

Peers

Agnès Tran
Comparison fields: 5 of 88
  • Pharmacology 190
  • Psychiatry and Mental health 247
  • Pediatrics, Perinatology and Child Health 181
  • Hepatology 52
  • Infectious Diseases 106
Replace Donald W. Everett with:
Donald W. Everett United States
Vincent Tong United States
Pietro Fagiolino Uruguay
Philip Wastall United States
François Gimenez France
Philip Worboys United States
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Michel Eichelbaum Germany
Brian Ethell United Kingdom
François‐Ludovic Sauvage France
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Citations per field
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Citations per year

Countries citing papers authored by Agnès Tran

Since Specialization
Citations

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

Fields of papers citing papers by Agnès Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agnès Tran. 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 Agnès Tran. The network helps show where Agnès Tran may publish in the future.

Co-authors

The 25 scholars most cited alongside Agnès Tran, 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 Agnès Tran Line = papers co-authored together Agnès Tran links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2001137
2 2006104
3 2004104
4 199795
5 200784
6 200350
7 200643
8 200135
9 200434
10 200928
11 200121
12 197918
13 200715
14 19776

About Agnès Tran

Agnès Tran is a scholar working on Pediatrics, Perinatology and Child Health, Pharmacology, Psychiatry and Mental health, Infectious Diseases and Pharmacology, having authored 14 papers that have together received 774 indexed citations. Recurring topics across this work include Epilepsy research and treatment (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Liver Disease and Transplantation (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), HIV/AIDS drug development and treatment (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Pharmacology (190 citations), Psychiatry and Mental health (247 citations), Pediatrics, Perinatology and Child Health (181 citations), Hepatology (52 citations) and Infectious Diseases (106 citations). Agnès Tran has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Elisabeth Rey, Gérard Pons, Jean‐Marc Tréluyer, Jean‐Louis Vincent, Carole Giraud, Catherine Chiron, Philippe d’Athis, Yvon Calmus, Bernard Weill and Frédéric Batteux. Their work appears in journals such as Drug Metabolism and Disposition, British Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Journal of Hepatology and Journal of Child Neurology.

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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