Mauro Scarpelli
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders 15
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- Mitochondrial Function and Pathology 16
- ATP Synthase and ATPases Research 4
- Biochemical and Molecular Research 3
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- Peripheral Neuropathies and Disorders 2
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- Lysosomal Storage Disorders Research 9
- Rheumatology top 10%
- Glycogen Storage Diseases and Myoclonus 11
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- Genetic Neurodegenerative Diseases 4
- Co-authors
- Massimiliano FilostoPaola ToninAlessandro PadovaniGiuliano TomelleriAlice TodeschiniMaria Sofia CotelliValentina VielmiBridget E. Bax
- Journals
- The Journal of Clinical Endocrinology & Metabolism (1 paper)Neurology (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Mauro Scarpelli
34 papers receiving 786 citations
Peers
Comparison fields: 5 of 74
- Clinical Biochemistry 312
- Molecular Biology 535
- Neurology 62
- Physiology 179
- Rheumatology 99
Countries citing papers authored by Mauro Scarpelli
This map shows the geographic impact of Mauro Scarpelli'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 Mauro Scarpelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Scarpelli more than expected).
Fields of papers citing papers by Mauro Scarpelli
This network shows the impact of papers produced by Mauro Scarpelli. 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 Mauro Scarpelli. The network helps show where Mauro Scarpelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mauro Scarpelli, 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 | 2021 | 14 | |
| 3 | 2019 | 43 | |
| 4 | 2019 | 36 | |
| 5 | 2017 | 4 | |
| 6 | 2016 | 6 | |
| 7 | 2015 | 1 | |
| 8 | 2014 | 12 | |
| 9 | 2014 | 9 | |
| 10 | Non-muscle involvement in late-onset glycogenosis II. | 2013 | 17 |
| 11 | 2013 | 12 | |
| 12 | 2013 | 61 | |
| 13 | 2012 | 44 | |
| 14 | 2012 | 13 | |
| 15 | 2011 | 117 | |
| 16 | 2010 | 18 | |
| 17 | 2008 | 11 | |
| 18 | 2008 | 19 | |
| 19 | 2007 | 15 | |
| 20 | 2007 | 71 |
About Mauro Scarpelli
Mauro Scarpelli is a scholar working on Clinical Biochemistry, Rheumatology and Physiology, having authored 34 papers that have together received 796 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), Metabolism and Genetic Disorders (15 papers), Glycogen Storage Diseases and Myoclonus (11 papers), Lysosomal Storage Disorders Research (9 papers), ATP Synthase and ATPases Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Biochemical and Molecular Research (3 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Clinical Biochemistry (312 citations), Molecular Biology (535 citations) and Neurology (62 citations). Mauro Scarpelli has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Massimiliano Filosto, Paola Tonin, Alessandro Padovani, Giuliano Tomelleri, Alice Todeschini, Maria Sofia Cotelli, Valentina Vielmi, Bridget E. Bax, Murray Bain and Nicholas Moran. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Neurology and Human Molecular Genetics.
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.