Thierry Lavé

4.1k citations
68 papers · 3.0k indexed · h-index 35

Impact in

  • Pharmacology top 0.1%
    • Pharmacogenetics and Drug Metabolism
    • Antibiotics Pharmacokinetics and Efficacy
    • Drug-Induced Hepatotoxicity and Protection
  • Oncology top 2%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Pharmacogenetics and Drug Metabolism 36
    • Antibiotics Pharmacokinetics and Efficacy 7
    • Drug-Induced Hepatotoxicity and Protection 6
    • Statistical Methods in Clinical Trials 9

Thierry Lavé

68 papers receiving 2.9k citations

Peers

Thierry Lavé
Comparison fields: 5 of 131
  • Pharmacology 1.3k
  • Oncology 1.1k
  • Pharmaceutical Science 239
  • Computational Theory and Mathematics 485
  • Spectroscopy 379
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Thierry Lavé relative to Hannah M. Jones United States Hannah M. Jones's profile →
Citations per field
00.5×1.5×
Hannah M. Jones · 1×
Citations per year

Countries citing papers authored by Thierry Lavé

Since Specialization
Citations

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

Fields of papers citing papers by Thierry Lavé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 201819
3 201714
4 201788
5 201610
6 2015128
7 20152
8 201187
9 200966
10 200914
11 200930
12 200961
13 200880
14 200779
15 200582
16 200567
17 200447
18 20022
19 199541
20 19919

About Thierry Lavé

Thierry Lavé is a scholar working on Pharmacology, Statistics and Probability, Oncology, Pharmaceutical Science and Computational Theory and Mathematics, having authored 68 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (36 papers), Drug Transport and Resistance Mechanisms (22 papers), Analytical Chemistry and Chromatography (10 papers), Computational Drug Discovery Methods (10 papers), Statistical Methods in Clinical Trials (9 papers), Receptor Mechanisms and Signaling (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Drug-Induced Hepatotoxicity and Protection (6 papers). The work is most often cited by research in Pharmacology (1.3k citations), Oncology (1.1k citations), Pharmaceutical Science (239 citations), Computational Theory and Mathematics (485 citations) and Spectroscopy (379 citations). Thierry Lavé has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Neil Parrott, Philippe Coassolo, Christoph Funk, Agnès Poirier, Antje‐Christine Walz, Hannah M. Jones, Patrick Poulin, Malcolm Rowland, Nadège Blanchard and Christopher R. Gibson. Their work appears in journals such as Journal of Pharmaceutical Sciences, Xenobiotica, European Journal of Pharmaceutical Sciences, Journal of Pharmacy and Pharmacology and Drug Discovery Today.

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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