Yvan de Féraudy

607 total citations
6 papers, 434 citations indexed

About

Yvan de Féraudy is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Yvan de Féraudy has authored 6 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Genetics. Recurrent topics in Yvan de Féraudy's work include Muscle Physiology and Disorders (3 papers), Genomics and Rare Diseases (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). Yvan de Féraudy is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Genomics and Rare Diseases (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). Yvan de Féraudy collaborates with scholars based in France, Australia and Belgium. Yvan de Féraudy's co-authors include Bogdan Mateescu, Jean-Philippe Meyniel, Tina Gruosso, Fatima Mechta‐Grigoriou, Luciana Batista, Odette Mariani, Paul Cottu, Xavier Sastre‐Garau, Mélissa Cardon and Nicolás André and has published in prestigious journals such as Nature Medicine, Annals of Neurology and Scientific Reports.

In The Last Decade

Yvan de Féraudy

5 papers receiving 431 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yvan de Féraudy France	3	326	277	44	43	29	6	434
Thomas H. Y. Leung Hong Kong	7	392 1.2×	197 0.7×	93 2.1×	32 0.7×	36 1.2×	7	469
Chenqi Lu China	13	471 1.4×	230 0.8×	54 1.2×	9 0.2×	38 1.3×	28	622
Lihua Ding China	11	314 1.0×	167 0.6×	81 1.8×	11 0.3×	35 1.2×	20	406
Yang Jiang China	9	166 0.5×	123 0.4×	39 0.9×	14 0.3×	28 1.0×	23	307
Liang Chang China	13	399 1.2×	346 1.2×	42 1.0×	12 0.3×	19 0.7×	21	478
Emuejevoke Olokpa United States	5	354 1.1×	376 1.4×	22 0.5×	27 0.6×	41 1.4×	7	478
Simran Arora United States	6	407 1.2×	308 1.1×	27 0.6×	7 0.2×	44 1.5×	11	540
Olga Kovalenko United States	9	213 0.7×	83 0.3×	70 1.6×	36 0.8×	37 1.3×	27	370
Dongli Zhao China	10	241 0.7×	154 0.6×	59 1.3×	8 0.2×	33 1.1×	21	350
Cinzia Caggiano Italy	11	259 0.8×	154 0.6×	41 0.9×	19 0.4×	15 0.5×	17	348

Countries citing papers authored by Yvan de Féraudy

Since Specialization

Citations

This map shows the geographic impact of Yvan de Féraudy'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 Yvan de Féraudy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvan de Féraudy more than expected).

Fields of papers citing papers by Yvan de Féraudy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yvan de Féraudy. 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 Yvan de Féraudy. The network helps show where Yvan de Féraudy may publish in the future.

Co-authorship network of co-authors of Yvan de Féraudy

This figure shows the co-authorship network connecting the top 25 collaborators of Yvan de Féraudy. A scholar is included among the top collaborators of Yvan de Féraudy 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 Yvan de Féraudy. Yvan de Féraudy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Féraudy, Yvan de, Norma B. Romero, Raphaël Schneider, et al.. (2024). Exome sequencing in undiagnosed congenital myopathy reveals new genes and refines genes–phenotypes correlations. Genome Medicine. 16(1). 87–87. 4 indexed citations

2.

Kharouf, Naji, Yvan de Féraudy, Gergő Gógl, et al.. (2024). The Rogdi knockout mouse is a model for Kohlschütter–Tönz syndrome. Scientific Reports. 14(1). 445–445. 2 indexed citations

3.

Baer, Sarah, Marguerite Miguet, Élise Schaefer, et al.. (2024). Copy Number Variation and Epilepsy: State of the Art in the Era of High-Throughput Sequencing—A Multicenter Cohort Study. Pediatric Neurology. 159. 16–25. 1 indexed citations

4.

Féraudy, Yvan de, Rabah Ben Yaou, Karim Wahbi, et al.. (2020). Very Low Residual Dystrophin Quantity Is Associated with Milder Dystrophinopathy. Annals of Neurology. 89(2). 280–292. 37 indexed citations

5.

Féraudy, Yvan de, Rabah Ben Yaou, Karim Wahbi, France Leturcq, & Helge Amthor. (2019). P.142Very low residual dystrophin levels mitigate dystrophinopathy towards Becker muscular dystrophy. Neuromuscular Disorders. 29. S89–S89.

6.

Mateescu, Bogdan, Luciana Batista, Mélissa Cardon, et al.. (2011). miR-141 and miR-200a act on ovarian tumorigenesis by controlling oxidative stress response. Nature Medicine. 17(12). 1627–1635. 390 indexed citations

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.

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