V. Scaioli
Impact in
- Neurology top 2%
- Neurological disorders and treatments
- Botulinum Toxin and Related Neurological Disorders
- Neurological diseases and metabolism
- Peripheral Neuropathies and Disorders
-
- Hereditary Neurological Disorders
- Genetic Neurodegenerative Diseases
Papers in
- Neurology 30
- Neurological disorders and treatments 13
- Neurological diseases and metabolism 7
-
- Hereditary Neurological Disorders 15
- Genetic Neurodegenerative Diseases 11
- Co-authors
- Davide PareysonMatilde LauráFerruccio PanzicaSilvana FranceschettiAngelo SghirlanzoniLaura CanafogliaF. CarellaElisa Visani
- Journals
- Neurological Sciences (10 papers)Movement Disorders (7 papers)Neurology (6 papers)Journal of Neuro-Oncology (4 papers)Journal of Neurology (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
V. Scaioli
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 85
- Neurology 604
- Neurology 250
- Cellular and Molecular Neuroscience 536
- Rheumatology 199
- Cognitive Neuroscience 198
Countries citing papers authored by V. Scaioli
This map shows the geographic impact of V. Scaioli'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 V. Scaioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Scaioli more than expected).
Fields of papers citing papers by V. Scaioli
This network shows the impact of papers produced by V. Scaioli. 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 V. Scaioli. The network helps show where V. Scaioli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside V. Scaioli, 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 | 2015 | 1 | |
| 2 | 2012 | 13 | |
| 3 | 2011 | 21 | |
| 4 | 2010 | 18 | |
| 5 | 2008 | 32 | |
| 6 | 2008 | 7 | |
| 7 | 2006 | 129 | |
| 8 | 2005 | 4 | |
| 9 | 2005 | 25 | |
| 10 | Quantitative motor unit potentials analysis in healthy horses | 2004 | 1 |
| 11 | 2004 | 13 | |
| 12 | 2000 | 2 | |
| 13 | 1998 | 31 | |
| 14 | 1995 | 8 | |
| 15 | 1995 | 1 | |
| 16 | 1993 | 11 | |
| 17 | 1992 | 3 | |
| 18 | 1991 | 11 | |
| 19 | 1988 | 5 | |
| 20 | 1987 | 10 |
About V. Scaioli
V. Scaioli is a scholar working on Neurology, Neurology, Cellular and Molecular Neuroscience, Rheumatology and Music, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (15 papers), Glycogen Storage Diseases and Myoclonus (14 papers), Neurological disorders and treatments (13 papers), Genetic Neurodegenerative Diseases (11 papers), Neurological diseases and metabolism (7 papers), Cancer Treatment and Pharmacology (7 papers), Trigeminal Neuralgia and Treatments (6 papers) and Retinal Development and Disorders (6 papers). The work is most often cited by research in Neurology (604 citations), Neurology (250 citations), Cellular and Molecular Neuroscience (536 citations), Rheumatology (199 citations) and Cognitive Neuroscience (198 citations). V. Scaioli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Davide Pareyson, Matilde Laurá, Ferruccio Panzica, Silvana Franceschetti, Angelo Sghirlanzoni, Laura Canafoglia, F. Carella, Elisa Visani, Franco Taroni and Ludovico D’Incerti. Their work appears in journals such as Neurological Sciences, Movement Disorders, Neurology, Journal of Neuro-Oncology and Journal of Neurology.
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.