Férechté Encha‐Razavi
- Molecular Biology top 10%
- Genetics top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Cell Biology top 5%
- Surgery
- Co-authors
- Tania Attié‐BitachMichel VekemansArnold MünnichNathalie BoddaertStanislas LyonnetMaryse BonnièreCatherine Fallet‐BiancoYoann Saillour
- Topics
- Fetal and Pediatric Neurological Disorders (19 papers)Hedgehog Signaling Pathway Studies (11 papers)Prenatal Screening and Diagnostics (11 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Férechté Encha‐Razavi
60 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 870
- Genetics 529
- Pediatrics, Perinatology and Child Health 337
- Cell Biology 298
- Surgery 227
Countries citing papers authored by Férechté Encha‐Razavi
This map shows the geographic impact of Férechté Encha‐Razavi'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 Férechté Encha‐Razavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Férechté Encha‐Razavi more than expected).
Fields of papers citing papers by Férechté Encha‐Razavi
This network shows the impact of papers produced by Férechté Encha‐Razavi. 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 Férechté Encha‐Razavi. The network helps show where Férechté Encha‐Razavi may publish in the future.
Co-authorship network of co-authors of Férechté Encha‐Razavi
This figure shows the co-authorship network connecting the top 25 collaborators of Férechté Encha‐Razavi. A scholar is included among the top collaborators of Férechté Encha‐Razavi 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 Férechté Encha‐Razavi. Férechté Encha‐Razavi 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 | 15 | |
| 4 | 11 | |
| 5 | 28 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 38 | |
| 9 | 3 | |
| 10 | 20 | |
| 11 | 115 | |
| 12 | 20 | |
| 13 | 43 | |
| 14 | 23 | |
| 15 | 20 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 27 | |
| 19 | 124 | |
| 20 | 94 |
About Férechté Encha‐Razavi
Férechté Encha‐Razavi is a scholar working on Pediatrics, Perinatology and Child Health, Developmental Neuroscience and Genetics, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (19 papers), Hedgehog Signaling Pathway Studies (11 papers) and Prenatal Screening and Diagnostics (11 papers). The work is most often cited by research in Developmental Neuroscience (172 citations), Genetics (529 citations) and Cell Biology (298 citations). Férechté Encha‐Razavi has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Tania Attié‐Bitach, Michel Vekemans, Arnold Münnich, Nathalie Boddaert, Stanislas Lyonnet, Maryse Bonnière, Catherine Fallet‐Bianco, Yoann Saillour, Jamel Chelly and Michel Goossens. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Nature Neuroscience.
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.