Stéphane Llense

447 citations
11 papers · 356 · h-index 8

Impact in

    • Muscle Physiology and Disorders
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Neurogenetic and Muscular Disorders Research

Papers in

Stéphane Llense

11 papers receiving 345 citations

Peers

Stéphane Llense
Comparison fields: 5 of 21
  • Molecular Biology 302
  • Genetics 61
  • Clinical Biochemistry 9
  • Cardiology and Cardiovascular Medicine 40
  • Genetics 9
Replace Ana Domazetovska with:
Ana Domazetovska Australia
Ryan R. Cupo United States
M Tojo Japan
Demetra S. Stamm United States
Elroy H. An United States
Aurore Devos France
Agnieszka Nadel Poland
Lakmini P. Wasala United States
K. Kiiski Finland
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Citations per field
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Citations per year

Countries citing papers authored by Stéphane Llense

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Llense

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stéphane Llense, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stéphane Llense Line = papers co-authored together Stéphane Llense links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2006104
2 200871
3 200758
4 200346
5 199833
6
Clinical variability and molecular diagnosis in a four-generation family with X-linked Emery-Dreifuss muscular dystrophy.
200014
7 200112
8 19978
9
[Symptomatic carriers of dystrophinopathy with chromosome X inactivation bias].
20036
10 20063
11 20061

About Stéphane Llense

Stéphane Llense is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 11 papers that have together received 356 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Cardiomyopathy and Myosin Studies (2 papers), Nuclear Structure and Function (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Molecular Biology (302 citations), Genetics (61 citations), Clinical Biochemistry (9 citations), Cardiology and Cardiovascular Medicine (40 citations) and Genetics (9 citations). Stéphane Llense has collaborated with scholars based in France, Croatia and China. Frequent co-authors include France Leturcq, Nathalie Deburgrave, Dominique Récan, Jean‐Claude Kaplan, Jamel Chelly, Fatma Daoud, Cécile Peccate, Christophe Béroud, Luis Garcı́a and Arthur H.M. Burghes. Their work appears in journals such as Neuromuscular Disorders, Neurology, Human Mutation, European Journal of Human Genetics and PubMed.

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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