Marina Scarlato
- Neurology top 2%
- Peripheral Neuropathies and Disorders 8
- Neurological diseases and metabolism 3
- Amyotrophic Lateral Sclerosis Research 3
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- Hereditary Neurological Disorders 15
- Genetic Neurodegenerative Diseases 6
- Nerve injury and regeneration 4
- Neurology top 5%
- Peripheral Neuropathies and Disorders 8
- Neurological diseases and metabolism 3
- Amyotrophic Lateral Sclerosis Research 3
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 5
- Developmental Neuroscience top 10%
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- Muscle Physiology and Disorders 5
- Co-authors
- Giacomo P. ComiNereo BresolinStefano C. PrevitaliRoberto Del BoAngelo QuattriniChiara BrianiSerena GhezziM. Carpo
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Marina Scarlato
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Neurology 450
- Cellular and Molecular Neuroscience 493
- Neurology 173
- Genetics 191
- Developmental Neuroscience 44
Countries citing papers authored by Marina Scarlato
This map shows the geographic impact of Marina Scarlato'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 Marina Scarlato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Scarlato more than expected).
Fields of papers citing papers by Marina Scarlato
This network shows the impact of papers produced by Marina Scarlato. 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 Marina Scarlato. The network helps show where Marina Scarlato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marina Scarlato, 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 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 7 | |
| 4 | 2016 | 51 | |
| 5 | 2015 | 28 | |
| 6 | 2015 | 47 | |
| 7 | 2013 | 62 | |
| 8 | 2012 | 48 | |
| 9 | 2011 | 110 | |
| 10 | 2011 | 31 | |
| 11 | 2011 | 5 | |
| 12 | 2010 | 32 | |
| 13 | 2010 | 32 | |
| 14 | 2010 | 29 | |
| 15 | 2009 | 84 | |
| 16 | 2007 | 21 | |
| 17 | 2006 | 35 | |
| 18 | 2005 | 54 | |
| 19 | 2003 | 54 | |
| 20 | 2000 | 23 |
About Marina Scarlato
Marina Scarlato is a scholar working on Cellular and Molecular Neuroscience, Neurology and Anatomy, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (15 papers), Peripheral Neuropathies and Disorders (8 papers), Genetic Neurodegenerative Diseases (6 papers), Muscle Physiology and Disorders (5 papers), Neurogenetic and Muscular Disorders Research (5 papers), Nerve injury and regeneration (4 papers), Neurological diseases and metabolism (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Neurology (450 citations), Cellular and Molecular Neuroscience (493 citations) and Neurology (173 citations). Marina Scarlato has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giacomo P. Comi, Nereo Bresolin, Stefano C. Previtali, Roberto Del Bo, Angelo Quattrini, Chiara Briani, Serena Ghezzi, M. Carpo, Elio Scarpini and Maria Teresa Bassi. Their work appears in journals such as PLoS ONE, Brain and 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.