Pierre Marquet

16.8k total citations
414 papers, 11.5k citations indexed

About

Pierre Marquet is a scholar working on Transplantation, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Pierre Marquet has authored 414 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Transplantation, 70 papers in Pediatrics, Perinatology and Child Health and 67 papers in Surgery. Recurrent topics in Pierre Marquet's work include Renal Transplantation Outcomes and Treatments (170 papers), Pharmacological Effects and Toxicity Studies (59 papers) and Drug Transport and Resistance Mechanisms (37 papers). Pierre Marquet is often cited by papers focused on Renal Transplantation Outcomes and Treatments (170 papers), Pharmacological Effects and Toxicity Studies (59 papers) and Drug Transport and Resistance Mechanisms (37 papers). Pierre Marquet collaborates with scholars based in France, Switzerland and Belgium. Pierre Marquet's co-authors include Gérard Lachâtre, Annick Rousseau, Nicolas Picard, Yannick Le Meur, Jean‐Michel Gaulier, Franck Saint‐Marcoux, Jean‐Baptiste Woillard, François‐Ludovic Sauvage, Jean Debord and Aurélie Prémaud and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Pierre Marquet

397 papers receiving 11.2k citations

Peers

Pierre Marquet
Uwe Christians United States
David W. Holt United Kingdom
Kenneth E. Thummel United States
William J. Jusko United States
Stephan J. L. Bakker Netherlands
Stephen D. Hall United States
Paul B. Watkins United States
Ulrich M. Zanger Germany
Nicholas H. G. Holford New Zealand
Leslie Z. Benet United States
Uwe Christians United States
Pierre Marquet
Citations per year, relative to Pierre Marquet Pierre Marquet (= 1×) peers Uwe Christians

Countries citing papers authored by Pierre Marquet

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Marquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Marquet

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Marquet. A scholar is included among the top collaborators of Pierre Marquet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pierre Marquet. Pierre Marquet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Woillard, Jean‐Baptiste, Marc Labriffe, & Pierre Marquet. (2025). Estimation of Overall Cyclosporine Exposure Using Machine Learning. Therapeutic Drug Monitoring. 47(6). 779–789.
2.
Marquet, Pierre, et al.. (2025). Managing Delayed or Missed Doses of Prolonged‐Release Tacrolimus in Transplant Recipients: Implications for Drug Exposure and Recovery Strategies. Basic & Clinical Pharmacology & Toxicology. 138(1). e70157–e70157.
3.
Marquet, Pierre, Dany Anglicheau, Maarten Naesens, et al.. (2025). A thorough clinical study pipeline to discover and validate biomarkers in kidney transplantation: The European BIOMARGIN program. Journal of Pharmaceutical and Biomedical Analysis. 263. 116911–116911. 1 indexed citations
4.
5.
Sauvage, François‐Ludovic, Émilie Pinault, Gildas Bertho, et al.. (2024). Revisiting the nature and pharmacodynamics of tacrolimus metabolites. Pharmacological Research. 209. 107438–107438. 1 indexed citations
6.
Marquet, Pierre, et al.. (2024). Tacrolimus Dose Requirement in De Novo Adult Kidney Transplant Patients Treated With Adoport® Can Be Anticipated. Transplant International. 37. 13495–13495. 1 indexed citations
7.
Moreaud, Maxime, et al.. (2024). Characterizing microstructures with representative tortuosities. SHILAP Revista de lepidopterología. 79. 31–31. 1 indexed citations
8.
Marquet, Pierre, et al.. (2023). Active or passive maternal smoking increases the risk of low birth weight or preterm delivery: Benefits of cessation and tobacco control policies. Tobacco Induced Diseases. 21(May). 1–13. 13 indexed citations
9.
Sauvage, François‐Ludovic, et al.. (2023). Semi-synthetic human albumin isoforms: Production, structure, binding capacities and influence on a routine laboratory test. International Journal of Biological Macromolecules. 250. 126239–126239. 1 indexed citations
10.
Balkhi, Souleiman El, Jean-Philippe Rérolle, Marilyne Debette‐Gratien, et al.. (2023). New perspectives for the therapeutic drug monitoring of tacrolimus: Quantification in volumetric DBS based on an automated extraction and LC-MS/MS analysis. Journal of Chromatography B. 1223. 123721–123721. 11 indexed citations
11.
Destère, Alexandre, et al.. (2023). Tacrolimus population pharmacokinetics in adult heart transplant patients. British Journal of Clinical Pharmacology. 89(12). 3584–3595. 6 indexed citations
12.
Sauvage, François‐Ludovic, Lionel Forestier, Elodie Miquelestorena‐Standley, et al.. (2022). Perfusate Metabolomics Content and Expression of Tubular Transporters During Human Kidney Graft Preservation by Hypothermic Machine Perfusion. Transplantation. 106(9). 1831–1843. 7 indexed citations
13.
Guellec, Chantal Barin‐Le, et al.. (2022). Insights into the structure and function of the human organic anion transporter 1 in lipid bilayer membranes. Scientific Reports. 12(1). 10 indexed citations
14.
Labriffe, Marc, Jean‐Baptiste Woillard, Wilfried Gwinner, et al.. (2022). Machine learning-supported interpretation of kidney graft elementary lesions in combination with clinical data. American Journal of Transplantation. 22(12). 2821–2833. 19 indexed citations
15.
Tinel, Claire, Arnaud Devresse, Virginia Sauvaget, et al.. (2020). Development and validation of an optimized integrative model using urinary chemokines for noninvasive diagnosis of acute allograft rejection. American Journal of Transplantation. 20(12). 3462–3476. 50 indexed citations
16.
17.
Rappaz, Benjamin, Pascal Jourdain, Damiano Banfi, et al.. (2019). Image-Based Marker-Free Screening of GABAA Agonists, Antagonists, and Modulators. SLAS DISCOVERY. 25(5). 458–470. 4 indexed citations
18.
Fredj, Nadia Ben, Jean‐Baptiste Woillard, Jean Debord, et al.. (2016). Modeling of Tacrolimus Exposure in Kidney Transplant According to Posttransplant Time Based on Routine Trough Concentration Data.. PubMed. 14(4). 394–400. 8 indexed citations
19.
Marquet, Pierre, François‐Ludovic Sauvage, V. Loustaud‐Ratti, et al.. (2010). Stability of Ribavirin Concentrations Depending on the Type of Blood Collection Tube and Preanalytical Conditions. Therapeutic Drug Monitoring. 32(2). 237–241. 9 indexed citations
20.
Wallemacq, Pierre, Victor W. Armstrong, Merçè Brunet, et al.. (2009). Opportunities to Optimize Tacrolimus Therapy in Solid Organ Transplantation: Report of the European Consensus Conference. Therapeutic Drug Monitoring. 31(2). 139–152. 362 indexed citations

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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