Marc Labriffe

589 total citations
36 papers, 386 citations indexed

About

Marc Labriffe is a scholar working on Transplantation, Pharmacology and Surgery. According to data from OpenAlex, Marc Labriffe has authored 36 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Transplantation, 10 papers in Pharmacology and 9 papers in Surgery. Recurrent topics in Marc Labriffe's work include Renal Transplantation Outcomes and Treatments (17 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Pharmacological Effects and Toxicity Studies (6 papers). Marc Labriffe is often cited by papers focused on Renal Transplantation Outcomes and Treatments (17 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Pharmacological Effects and Toxicity Studies (6 papers). Marc Labriffe collaborates with scholars based in France, Germany and Belgium. Marc Labriffe's co-authors include Pierre Marquet, Jean‐Baptiste Woillard, Jean Debord, Aurélie Prémaud, Alexandre Destère, Caroline Monchaud, Sebastian G. Wicha, Évelyne Jacqz-Aigrain, F. Thouveny and S. Willoteaux and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Pharmaceutical Research and Transplantation.

In The Last Decade

Marc Labriffe

29 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marc Labriffe France 11 112 82 79 68 59 36 386
Ulrika Wählby Sweden 7 40 0.4× 90 1.1× 49 0.6× 132 1.9× 26 0.4× 8 598
Nastya Kassir United States 13 53 0.5× 82 1.0× 48 0.6× 12 0.2× 16 0.3× 46 400
Immanuel Freedman United States 5 12 0.1× 74 0.9× 31 0.4× 36 0.5× 13 0.2× 6 374
Julie Bertrand France 15 15 0.1× 61 0.7× 34 0.4× 132 1.9× 29 0.5× 43 736
Annabelle Lemenuel‐Diot Switzerland 11 16 0.1× 80 1.0× 29 0.4× 71 1.0× 11 0.2× 24 487
Atsunori Kaibara Japan 9 25 0.2× 63 0.8× 53 0.7× 22 0.3× 7 0.1× 21 513
Aurélie Prémaud France 15 678 6.1× 83 1.0× 154 1.9× 36 0.5× 19 0.3× 26 934
Anne‐Gaëlle Dosne Belgium 8 8 0.1× 99 1.2× 52 0.7× 43 0.6× 16 0.3× 19 406
C. Dansirikul Australia 8 41 0.4× 43 0.5× 46 0.6× 19 0.3× 6 0.1× 11 436
P. Neuhaus Germany 8 39 0.3× 40 0.5× 95 1.2× 11 0.2× 22 0.4× 11 652

Countries citing papers authored by Marc Labriffe

Since Specialization
Citations

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

Fields of papers citing papers by Marc Labriffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Labriffe

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Labriffe. A scholar is included among the top collaborators of Marc Labriffe 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 Marc Labriffe. Marc Labriffe 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, 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
3.
Gérard, Alexandre O., et al.. (2025). Evaluating and leveraging large language models in clinical pharmacology and therapeutics assessment: From exam takers to exam shapers. British Journal of Clinical Pharmacology. 1 indexed citations
4.
Labriffe, Marc, et al.. (2025). Estimation of Ganciclovir Exposure in Adults Transplant Patients by Machine Learning. The AAPS Journal. 27(2). 53–53. 2 indexed citations
5.
Labriffe, Marc, et al.. (2025). Reducing aztreonam/avibactam waste: insights from Monte Carlo simulations. Journal of Antimicrobial Chemotherapy. 81(1).
6.
Sauvage, François‐Ludovic, Marc Labriffe, Dany Anglicheau, et al.. (2025). Urinary proteomics in kidney transplant recipients and influence of demographics and treatments as potential confounders of graft lesions. Journal of Pharmaceutical and Biomedical Analysis. 264. 116947–116947. 1 indexed citations
7.
Autmizguine, Julie, Marc Labriffe, Philippe Ovetchkine, et al.. (2024). Application of machine-learning models to predict the ganciclovir and valganciclovir exposure in children using a limited sampling strategy. Antimicrobial Agents and Chemotherapy. 68(10). e0086024–e0086024. 4 indexed citations
8.
Marquet, Pierre, et al.. (2024). Killing several birds with one stone: A multi‐indication population pharmacokinetic model and Bayesian estimator for enteric‐coated mycophenolate sodium. British Journal of Clinical Pharmacology. 91(5). 1396–1408. 1 indexed citations
9.
Woillard, Jean‐Baptiste, et al.. (2024). To be or not to be, when synthetic data meet clinical pharmacology: A focused study on pharmacogenetics. CPT Pharmacometrics & Systems Pharmacology. 14(1). 82–94. 2 indexed citations
10.
Monchaud, Caroline, Marc Labriffe, Lionel Couzi, et al.. (2024). Better Rejection‐Free Survival at Three Years in Kidney Transplant Recipients With Model‐Informed Precision Dosing of Mycophenolate Mofetil. Clinical Pharmacology & Therapeutics. 116(2). 351–362. 1 indexed citations
11.
Monchaud, Caroline, et al.. (2024). Synergizing pharmacometrics and pharmacovigilance for medication error management: the case of secukinumab. European Journal of Clinical Pharmacology. 80(9). 1339–1341.
12.
Marquet, Pierre, et al.. (2024). A Machine Learning Algorithm to Predict the Starting Dose of Daptomycin. Clinical Pharmacokinetics. 63(8). 1137–1146. 3 indexed citations
13.
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
14.
Deluche, Élise, Marc Labriffe, Jérôme Laloze, et al.. (2023). ACACIAS 3 : Apprentissage des consultations d’annonce dans le deuxième cycle d’études médicales. Bulletin du Cancer. 111(2). 153–163.
15.
Destère, Alexandre, Pierre Marquet, Marc Labriffe, Milou‐Daniel Drici, & Jean‐Baptiste Woillard. (2023). A Hybrid Algorithm Combining Population Pharmacokinetic and Machine Learning for Isavuconazole Exposure Prediction. Pharmaceutical Research. 40(4). 951–959. 17 indexed citations
16.
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
17.
Destère, Alexandre, et al.. (2022). Optimization of Vancomycin Initial Dose in Term and Preterm Neonates by Machine Learning. Pharmaceutical Research. 39(10). 2497–2506. 25 indexed citations
18.
Labriffe, Marc, et al.. (2022). A Machine Learning Approach to Predict Interdose Vancomycin Exposure. Pharmaceutical Research. 39(4). 721–731. 35 indexed citations
19.
Woillard, Jean‐Baptiste, Marc Labriffe, Aurélie Prémaud, & Pierre Marquet. (2021). Estimation of drug exposure by machine learning based on simulations from published pharmacokinetic models: The example of tacrolimus. Pharmacological Research. 167. 105578–105578. 48 indexed citations
20.
Thouveny, F., et al.. (2014). MRI and venographic aspects of pelvic venous insufficiency. Diagnostic and Interventional Imaging. 95(11). 1091–1102. 22 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ulrika Wählby Breakdown of academic impact, for papers by Nastya Kassir Breakdown of academic impact, for papers by Immanuel Freedman Breakdown of academic impact, for papers by Julie Bertrand Breakdown of academic impact, for papers by Annabelle Lemenuel‐Diot Breakdown of academic impact, for papers by Atsunori Kaibara Breakdown of academic impact, for papers by Aurélie Prémaud Breakdown of academic impact, for papers by Anne‐Gaëlle Dosne Breakdown of academic impact, for papers by C. Dansirikul Breakdown of academic impact, for papers by P. Neuhaus
Rankless by CCL
2026