C. Ledeuil

1.7k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

C. Ledeuil is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, C. Ledeuil has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in C. Ledeuil's work include Muscle Physiology and Disorders (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). C. Ledeuil is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). C. Ledeuil collaborates with scholars based in France, United States and Germany. C. Ledeuil's co-authors include Pascale Richard, Michel Komajda, Olivier Dubourg, Ketty Schwartz, Lucie Carrier, Philippe Charron, Michel Desnos, Bernard Hainque, Claire Pichereau and M. Burban and has published in prestigious journals such as Circulation, Journal of Neurology Neurosurgery & Psychiatry and EMBO Reports.

In The Last Decade

C. Ledeuil

8 papers receiving 1.1k citations

Hit Papers

Hypertrophic Cardiomyopathy 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Ledeuil France 6 928 544 123 69 50 8 1.1k
Snježana Miočiċ United States 9 611 0.7× 526 1.0× 48 0.4× 10 0.1× 48 1.0× 10 907
Christopher R. Bartley United States 6 294 0.3× 243 0.4× 23 0.2× 11 0.2× 15 0.3× 6 441
Karen McGuire United Kingdom 3 356 0.4× 230 0.4× 41 0.3× 27 0.4× 22 0.4× 4 475
Elisabetta Pelo Italy 11 50 0.1× 216 0.4× 38 0.3× 18 0.3× 52 1.0× 36 480
Eline A. Nannenberg Netherlands 15 743 0.8× 422 0.8× 34 0.3× 13 0.2× 14 0.3× 21 890
Melissa Langworthy United States 6 89 0.1× 278 0.5× 52 0.4× 19 0.3× 12 0.2× 6 351
Zhyldyz Kabaeva United States 9 185 0.2× 275 0.5× 33 0.3× 9 0.1× 19 0.4× 12 436
Xiao Zhu United States 8 569 0.6× 446 0.8× 43 0.3× 6 0.1× 23 0.5× 10 790
Hervé Le Marec France 5 449 0.5× 370 0.7× 54 0.4× 4 0.1× 5 0.1× 6 574
Judith M.A. Verhagen Netherlands 11 120 0.1× 184 0.3× 84 0.7× 4 0.1× 19 0.4× 35 464

Countries citing papers authored by C. Ledeuil

Since Specialization
Citations

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

Fields of papers citing papers by C. Ledeuil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Ledeuil. 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 C. Ledeuil. The network helps show where C. Ledeuil may publish in the future.

Co-authorship network of co-authors of C. Ledeuil

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

All Works

8 of 8 papers shown
1.
Deconinck, Nicolas, Pascale Richard, Valérie Allamand, et al.. (2014). Bethlem myopathy: long-term follow-up identifies COL6 mutations predicting severe clinical evolution. Journal of Neurology Neurosurgery & Psychiatry. 86(12). 1337–1346. 31 indexed citations
2.
Bozorgmehr, Bita, Ariana Kariminejad, Shahriar Nafissi, et al.. (2013). Ullrich Congenital Muscular Dystrophy (UCMD): Clinical and Genetic Correlations.. PubMed. 7(3). 15–22. 9 indexed citations
3.
Cossée, Mireille, Marc Bartoli, Valérie Allamand, et al.. (2010). P1.15 DNA micro-arrays for revisiting molecular pathology in neuromuscular disorders. Neuromuscular Disorders. 20(9-10). 604–604. 1 indexed citations
4.
Allamand, Valérie, Corine Gartioux, Emmanuelle Lacène, et al.. (2007). C.O.3 Endoplasmic reticulum retention of COL6 chains in Ullrich congenital muscular dystrophy. Neuromuscular Disorders. 17(9-10). 833–833. 1 indexed citations
5.
Allamand, Valérie, Pascale Richard, Alain Lescure, et al.. (2006). A single homozygous point mutation in a 3′untranslated region motif of selenoprotein N mRNA causes SEPN1‐related myopathy. EMBO Reports. 7(4). 450–454. 68 indexed citations
6.
Vainzof, Mariz, Pascale Richard, Ralf Herrmann, et al.. (2005). Prenatal diagnosis in laminin α2 chain (merosin)-deficient congenital muscular dystrophy: A collective experience of five international centers. Neuromuscular Disorders. 15(9-10). 588–594. 22 indexed citations
7.
Richard, Pascale, Philippe Charron, Lucie Carrier, et al.. (2003). Hypertrophic Cardiomyopathy. Circulation. 107(17). 2227–2232. 925 indexed citations breakdown →
8.
Richard, Pascale, Philippe Charron, Christophe Leclercq, et al.. (2000). Homozygotes for a R869G Mutation in the β -myosin Heavy Chain Gene have a Severe Form of Familial Hypertrophic Cardiomyopathy. Journal of Molecular and Cellular Cardiology. 32(8). 1575–1583. 39 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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