Claude Férec
- Molecular Biology top 2%
- Genetics top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Surgery top 1%
- Hematology top 0.5%
- Co-authors
- Jian‐Min ChenD.N. CooperCédric Le MaréchalOdile RaguénèsVirginie ScotetMarie‐Pierre AudrézetBernard MercierCatherine Mura
- Topics
- Cystic Fibrosis Research Advances (128 papers)Neonatal Respiratory Health Research (71 papers)Pancreatitis Pathology and Treatment (65 papers)
- Cited by
- HematologyGenetics
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Claude Férec
436 papers receiving 11.6k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 3.9k
- Genetics 2.8k
- Pulmonary and Respiratory Medicine 2.7k
- Surgery 2.2k
- Hematology 2.1k
Countries citing papers authored by Claude Férec
This map shows the geographic impact of Claude Férec'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 Claude Férec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Férec more than expected).
Fields of papers citing papers by Claude Férec
This network shows the impact of papers produced by Claude Férec. 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 Claude Férec. The network helps show where Claude Férec may publish in the future.
Co-authorship network of co-authors of Claude Férec
This figure shows the co-authorship network connecting the top 25 collaborators of Claude Férec. A scholar is included among the top collaborators of Claude Férec 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 Claude Férec. Claude Férec 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 | 2 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 22 | |
| 11 | Autosomal dominant polycystic kidney disease in University Clinic of Nephrology and Haemodialysis of Cotonou: clinical and genetical findings. | 5 |
| 12 | 122 | |
| 13 | 66 | |
| 14 | 23 | |
| 15 | 90 | |
| 16 | 66 | |
| 17 | 54 | |
| 18 | 3 | |
| 19 | Cationic Liposome-Mediated Gene Transfer: Towards Hematologic Applications. | 0 |
| 20 | [HIV2 seroconversion probably of probable transfusion origin]. | 1 |
About Claude Férec
Claude Férec is a scholar working on Hematology, Genetics and Pulmonary and Respiratory Medicine, having authored 445 papers that have together received 11.8k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (128 papers), Neonatal Respiratory Health Research (71 papers) and Pancreatitis Pathology and Treatment (65 papers). The work is most often cited by research in Hematology (2.1k citations), Genetics (1.8k citations) and Genetics (2.8k citations). Claude Férec has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Jian‐Min Chen, D.N. Cooper, Cédric Le Maréchal, Odile Raguénès, Virginie Scotet, Marie‐Pierre Audrézet, Bernard Mercier, Catherine Mura, Nadia Chuzhanova and Gérald Le Gac. Their work appears in journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.
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.