Sabrina Sacconi
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 16
- Genetics top 2%
- Neurogenetic and Muscular Disorders Research 19
- Molecular Biology top 2%
- Muscle Physiology and Disorders 41
- Mitochondrial Function and Pathology 27
- RNA modifications and cancer 14
- RNA Research and Splicing 14
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- Genetic Neurodegenerative Diseases 19
- Biochemistry top 2%
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- Lysosomal Storage Disorders Research 15
- Co-authors
- Leonardo SalviatiClaude DesnuelleRabi TawilSilvère M. van der MaarelRichard J.L.F. LemmersSalvatore DiMauroPilar CamañoRune R. Frants
- Journals
- Science (1 paper)Journal of Clinical Investigation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Sabrina Sacconi
134 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Clinical Biochemistry 552
- Genetics 593
- Molecular Biology 3.3k
- Cellular and Molecular Neuroscience 609
- Biochemistry 196
Countries citing papers authored by Sabrina Sacconi
This map shows the geographic impact of Sabrina Sacconi'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 Sabrina Sacconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabrina Sacconi more than expected).
Fields of papers citing papers by Sabrina Sacconi
This network shows the impact of papers produced by Sabrina Sacconi. 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 Sabrina Sacconi. The network helps show where Sabrina Sacconi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sabrina Sacconi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 3 | |
| 8 | Understanding the Impact of Non-Dystrophic Myotonia on Patients and Caregivers: Results from a Burden of Disease Healthcare Survey | 2021 | 4 |
| 9 | 2021 | 10 | |
| 10 | 2019 | 28 | |
| 11 | 2019 | 23 | |
| 12 | 2018 | 25 | |
| 13 | 2015 | 7 | |
| 14 | 2014 | 41 | |
| 15 | 2012 | 1 | |
| 16 | A Unifying Genetic Model for Facioscapulohumeral Muscular Dystrophybreakdown → | 2010 | 528 |
| 17 | 2007 | 39 | |
| 18 | 2005 | 2 | |
| 19 | 2005 | 26 | |
| 20 | 2005 | 25 |
About Sabrina Sacconi
Sabrina Sacconi is a scholar working on Clinical Biochemistry, Genetics and Neurology, having authored 142 papers that have together received 4.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (41 papers), Mitochondrial Function and Pathology (27 papers), Genetic Neurodegenerative Diseases (19 papers), Neurogenetic and Muscular Disorders Research (19 papers), Metabolism and Genetic Disorders (16 papers), Lysosomal Storage Disorders Research (15 papers), RNA modifications and cancer (14 papers) and RNA Research and Splicing (14 papers). The work is most often cited by research in Clinical Biochemistry (552 citations), Genetics (593 citations) and Molecular Biology (3.3k citations). Sabrina Sacconi has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Leonardo Salviati, Claude Desnuelle, Rabi Tawil, Silvère M. van der Maarel, Richard J.L.F. Lemmers, Salvatore DiMauro, Pilar Camaño, Rune R. Frants, Patrick J. van der Vliet and Stephen J. Tapscott. Their work appears in journals such as Science, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.