Sabrina Sacconi
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Clinical Biochemistry top 0.5%
- Co-authors
- Leonardo SalviatiClaude DesnuelleRabi TawilSilvère M. van der MaarelRichard J.L.F. LemmersSalvatore DiMauroPilar CamañoRune R. Frants
- Topics
- Muscle Physiology and Disorders (41 papers)Mitochondrial Function and Pathology (27 papers)Genetic Neurodegenerative Diseases (19 papers)
- Journals
- ScienceJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- FranceItalyUnited States
In The Last Decade
Sabrina Sacconi
134 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 3.3k
- Cellular and Molecular Neuroscience 609
- Genetics 593
- Cardiology and Cardiovascular Medicine 584
- Clinical Biochemistry 552
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 of co-authors of Sabrina Sacconi
This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Sacconi. A scholar is included among the top collaborators of Sabrina Sacconi 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 Sabrina Sacconi. Sabrina Sacconi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | Understanding the Impact of Non-Dystrophic Myotonia on Patients and Caregivers: Results from a Burden of Disease Healthcare Survey | 4 |
| 9 | 10 | |
| 10 | 28 | |
| 11 | 23 | |
| 12 | 25 | |
| 13 | 7 | |
| 14 | 41 | |
| 15 | 1 | |
| 16 | A Unifying Genetic Model for Facioscapulohumeral Muscular Dystrophybreakdown → | 528 |
| 17 | 39 | |
| 18 | 2 | |
| 19 | 26 | |
| 20 | 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) and Genetic Neurodegenerative Diseases (19 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.