Pierre Marquet
- Transplantation top 0.02%
- Pediatrics, Perinatology and Child Health top 0.2%
- Molecular Biology top 5%
- Surgery top 2%
- Pharmacology top 0.5%
- Co-authors
- Gérard LachâtreAnnick RousseauNicolas PicardYannick Le MeurJean‐Michel GaulierFranck Saint‐MarcouxJean‐Baptiste WoillardFrançois‐Ludovic Sauvage
- Topics
- Renal Transplantation Outcomes and Treatments (170 papers)Pharmacological Effects and Toxicity Studies (59 papers)Drug Transport and Resistance Mechanisms (37 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- FranceSwitzerlandBelgium
In The Last Decade
Pierre Marquet
397 papers receiving 11.2k citations
Peers
Comparison fields: 5 of 190
- Transplantation 4.4k
- Pediatrics, Perinatology and Child Health 2.2k
- Molecular Biology 1.8k
- Surgery 1.6k
- Pharmacology 1.4k
Countries citing papers authored by Pierre Marquet
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 19 | |
| 15 | 50 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | Modeling of Tacrolimus Exposure in Kidney Transplant According to Posttransplant Time Based on Routine Trough Concentration Data. | 8 |
| 19 | 9 | |
| 20 | 362 |
About Pierre Marquet
Pierre Marquet is a scholar working on Transplantation, Toxicology and Pediatrics, Perinatology and Child Health, having authored 414 papers that have together received 11.5k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (170 papers), Pharmacological Effects and Toxicity Studies (59 papers) and Drug Transport and Resistance Mechanisms (37 papers). The work is most often cited by research in Transplantation (4.4k citations), Toxicology (970 citations) and Pediatrics, Perinatology and Child Health (2.2k citations). Pierre Marquet has collaborated with scholars based in France, Switzerland and Belgium. Frequent 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. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.