Frédéric Leprêtre
- Molecular Biology
- Epidemiology top 5%
- Physiology top 5%
- Genetics top 5%
- Surgery
- Co-authors
- Philippe FroguelChristian DinaNathalie VionnetCécile LecœurEmmanuelle DurandS. DupontFrancis VasseurEl Habib Hani
- Topics
- Metabolism, Diabetes, and Cancer (6 papers)Genomic variations and chromosomal abnormalities (5 papers)Chronic Lymphocytic Leukemia Research (4 papers)
- Journals
- Nucleic Acids ResearchJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Frédéric Leprêtre
46 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 690
- Epidemiology 473
- Physiology 460
- Genetics 405
- Surgery 244
Countries citing papers authored by Frédéric Leprêtre
This map shows the geographic impact of Frédéric Leprêtre'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 Frédéric Leprêtre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Leprêtre more than expected).
Fields of papers citing papers by Frédéric Leprêtre
This network shows the impact of papers produced by Frédéric Leprêtre. 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 Frédéric Leprêtre. The network helps show where Frédéric Leprêtre may publish in the future.
Co-authorship network of co-authors of Frédéric Leprêtre
This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Leprêtre. A scholar is included among the top collaborators of Frédéric Leprêtre 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 Frédéric Leprêtre. Frédéric Leprêtre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 27 | |
| 8 | 22 | |
| 9 | 59 | |
| 10 | 82 | |
| 11 | 13 | |
| 12 | 10 | |
| 13 | 78 | |
| 14 | 11 | |
| 15 | 22 | |
| 16 | 56 | |
| 17 | 15 | |
| 18 | 4 | |
| 19 | Genomewide Search for Type 2 Diabetes–Susceptibility Genes in French Whites: Evidence for a Novel Susceptibility Locus for Early-Onset Diabetes on Chromosome 3q27-qter and Independent Replication of a Type 2–Diabetes Locus on Chromosome 1q21–q24breakdown → | 576 |
| 20 | Type 2 diabetes mellitus: association study of five candidate genes in an Indian population of Guadeloupe, genetic contribution of FABP2 polymorphism. | 52 |
About Frédéric Leprêtre
Frédéric Leprêtre is a scholar working on Genetics, Cancer Research and Hematology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Genomic variations and chromosomal abnormalities (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (154 citations), Physiology (460 citations) and Genetics (405 citations). Frédéric Leprêtre has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Philippe Froguel, Christian Dina, Nathalie Vionnet, Cécile Lecœur, Emmanuelle Durand, S. Dupont, Francis Vasseur, El Habib Hani, Sophie Gallina and Stephan Francke. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.