S. Llense

439 citations
11 papers · 307 · h-index 8

Impact in

    • Muscle Physiology and Disorders
    • RNA Research and Splicing
    • Nuclear Structure and Function
    • RNA modifications and cancer
    • RNA regulation and disease
    • Neurogenetic and Muscular Disorders Research

Papers in

S. Llense

11 papers receiving 304 citations

Peers

S. Llense
Comparison fields: 5 of 31
  • Molecular Biology 285
  • Genetics 39
  • Cardiology and Cardiovascular Medicine 60
  • Cellular and Molecular Neuroscience 38
  • Cell Biology 27
Replace Yo Okizuka with:
Yo Okizuka Japan
Manuela Ergoli Italy
C. Bouchet-Séraphin France
Nicola Carboni Italy
Nicolas Dondaine France
Carola Hedberg Sweden
Tanja Lalic Serbia
Jacopo Baldacci Italy
Katherine R. Chao United States
D. Pandolfo Italy
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Citations per field
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Citations per year

Countries citing papers authored by S. Llense

Since Specialization
Citations

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

Fields of papers citing papers by S. Llense

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. 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 S. Llense Line = papers co-authored together S. Llense links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200696
2 200861
3 200746
4 200342
5 199827
6
Clinical variability and molecular diagnosis in a four-generation family with X-linked Emery-Dreifuss muscular dystrophy.
200011
7 200110
8 19977
9 20063
10
[Symptomatic carriers of dystrophinopathy with chromosome X inactivation bias].
20033
11 20061

About S. Llense

S. Llense is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Cell Biology and Infectious Diseases, having authored 11 papers that have together received 307 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), RNA Research and Splicing (5 papers), Nuclear Structure and Function (4 papers), RNA modifications and cancer (3 papers), Cardiomyopathy and Myosin Studies (2 papers), Genetic Neurodegenerative Diseases (2 papers), RNA regulation and disease (2 papers) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Molecular Biology (285 citations), Genetics (39 citations), Cardiology and Cardiovascular Medicine (60 citations), Cellular and Molecular Neuroscience (38 citations) and Cell Biology (27 citations). S. Llense has collaborated with scholars based in France, China and United States. Frequent co-authors include France Leturcq, Dominique Récan, Cécile Peccate, Nathalie Deburgrave, Jamel Chelly, Christophe Béroud, Jean‐Claude Kaplan, Luis Garcı́a, Arthur H.M. Burghes and Niloufar Kavian. Their work appears in journals such as Neuromuscular Disorders, Neurology, European Journal of Human Genetics, Human Mutation 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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