France Mentré
- Infectious Diseases top 0.5%
- Statistics and Probability top 0.1%
- Epidemiology top 1%
- Molecular Biology top 10%
- Pharmacology top 0.5%
- Co-authors
- Emmanuelle CometsKarl BrendelSylvie RetoutMarc LavielleJérémie GuedjAlain MalletCédric LaouenanCéline M. Laffont
- Topics
- Statistical Methods in Clinical Trials (84 papers)Optimal Experimental Design Methods (41 papers)Statistical Methods and Bayesian Inference (38 papers)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
France Mentré
282 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Infectious Diseases 2.3k
- Statistics and Probability 1.7k
- Epidemiology 1.7k
- Molecular Biology 1.1k
- Pharmacology 1.1k
Countries citing papers authored by France Mentré
This map shows the geographic impact of France Mentré'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 France Mentré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites France Mentré more than expected).
Fields of papers citing papers by France Mentré
This network shows the impact of papers produced by France Mentré. 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 France Mentré. The network helps show where France Mentré may publish in the future.
Co-authorship network of co-authors of France Mentré
This figure shows the co-authorship network connecting the top 25 collaborators of France Mentré. A scholar is included among the top collaborators of France Mentré 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 France Mentré. France Mentré 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 | 2 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 23 | |
| 6 | 6 | |
| 7 | 36 | |
| 8 | 21 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 33 | |
| 13 | Phase II Study of Cetuximab As First-Line Single-Drug Therapy in Patients With Unresectable Squamous Cell Carcinoma of the Skinbreakdown → | 334 |
| 14 | 34 | |
| 15 | 12 | |
| 16 | 14 | |
| 17 | 39 | |
| 18 | 2 | |
| 19 | The Population Approach: Measuring and Managing Variability in Response, Concentration and Dose, Commission of the European Community, Luxembourg | 4 |
| 20 | 28 |
About France Mentré
France Mentré is a scholar working on Statistics and Probability, Virology and Molecular Medicine, having authored 291 papers that have together received 9.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (84 papers), Optimal Experimental Design Methods (41 papers) and Statistical Methods and Bayesian Inference (38 papers). The work is most often cited by research in Statistics and Probability (1.7k citations), Molecular Medicine (697 citations) and Infectious Diseases (2.3k citations). France Mentré has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Emmanuelle Comets, Karl Brendel, Sylvie Retout, Marc Lavielle, Jérémie Guedj, Alain Mallet, Cédric Laouenan, Céline M. Laffont, Yazdan Yazdanpanah and Nathan Peiffer‐Smadja. Their work appears in journals such as Circulation, Nature Communications and Journal of Clinical Oncology.
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.