Marie‐Clémence Verdier
- Pharmacology top 5%
- Epidemiology
- Infectious Diseases top 10%
- Transplantation top 2%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Olivier TributÉric BellissantDanièle Bentué‐FerrerF. Lemaı̂treCamille TronAntoine PetitcollinPierre TattevinC. Michelet
- Topics
- Pharmacological Effects and Toxicity Studies (23 papers)Antibiotics Pharmacokinetics and Efficacy (23 papers)Renal Transplantation Outcomes and Treatments (14 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Marie‐Clémence Verdier
79 papers receiving 838 citations
Peers
Comparison fields: 5 of 97
- Pharmacology 297
- Epidemiology 239
- Infectious Diseases 200
- Transplantation 184
- Pediatrics, Perinatology and Child Health 173
Countries citing papers authored by Marie‐Clémence Verdier
This map shows the geographic impact of Marie‐Clémence Verdier'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 Marie‐Clémence Verdier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Clémence Verdier more than expected).
Fields of papers citing papers by Marie‐Clémence Verdier
This network shows the impact of papers produced by Marie‐Clémence Verdier. 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 Marie‐Clémence Verdier. The network helps show where Marie‐Clémence Verdier may publish in the future.
Co-authorship network of co-authors of Marie‐Clémence Verdier
This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Clémence Verdier. A scholar is included among the top collaborators of Marie‐Clémence Verdier 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 Marie‐Clémence Verdier. Marie‐Clémence Verdier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | Volumetric absorptive microsampling for the quantification of tacrolimus in capillary blood by high performance liquid chromatography-tandem mass spectrometry | 1 |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 32 | |
| 14 | 17 | |
| 15 | 21 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 20 |
About Marie‐Clémence Verdier
Marie‐Clémence Verdier is a scholar working on Transplantation, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 83 papers that have together received 849 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (23 papers), Antibiotics Pharmacokinetics and Efficacy (23 papers) and Renal Transplantation Outcomes and Treatments (14 papers). The work is most often cited by research in Transplantation (184 citations), Applied Microbiology and Biotechnology (48 citations) and Molecular Medicine (109 citations). Marie‐Clémence Verdier has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Olivier Tribut, Éric Bellissant, Danièle Bentué‐Ferrer, F. Lemaı̂tre, Camille Tron, Antoine Petitcollin, Pierre Tattevin, C. Michelet, Yves Le Tulzo and Pauline Houssel‐Debry. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and International Journal of Molecular Sciences.
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.