Silvia Coco
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- Neuroscience and Neuropharmacology Research 18
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 5
- Physiology top 1%
- Cell Biology top 2%
- Cellular transport and secretion 12
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Botulinum Toxin and Related Neurological Disorders 5
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- Lipid Membrane Structure and Behavior 9
- Extracellular vesicles in disease 3
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- Mesenchymal stem cell research 3
- Co-authors
- Michela MatteoliClaudia VerderioElena PravettoniDavide PozziFederico CalegariPatrizia RosaElena TavernaOrnella Rossetto
- Journals
- Journal of Neuroscience (4 papers)International Journal of Molecular Sciences (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- ItalyCanadaUnited States
In The Last Decade
Silvia Coco
41 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 1.3k
- Developmental Neuroscience 228
- Physiology 216
- Cell Biology 729
- Neurology 344
Countries citing papers authored by Silvia Coco
This map shows the geographic impact of Silvia Coco'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 Silvia Coco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Coco more than expected).
Fields of papers citing papers by Silvia Coco
This network shows the impact of papers produced by Silvia Coco. 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 Silvia Coco. The network helps show where Silvia Coco may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Silvia Coco, 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 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 34 | |
| 6 | 2021 | 5 | |
| 7 | 2019 | 13 | |
| 8 | 2019 | 6 | |
| 9 | 2019 | 47 | |
| 10 | 2019 | 107 | |
| 11 | 2014 | 37 | |
| 12 | 2013 | 10 | |
| 13 | 2011 | 31 | |
| 14 | 2007 | 27 | |
| 15 | 2005 | 63 | |
| 16 | 2000 | 68 | |
| 17 | 1999 | 53 | |
| 18 | 1999 | 58 | |
| 19 | 1997 | 85 | |
| 20 | 1995 | 26 |
About Silvia Coco
Silvia Coco is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Cell Biology, Neurology and Genetics, having authored 41 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Extracellular vesicles in disease (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (228 citations), Physiology (216 citations), Cell Biology (729 citations) and Neurology (344 citations). Silvia Coco has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Michela Matteoli, Claudia Verderio, Elena Pravettoni, Davide Pozzi, Federico Calegari, Patrizia Rosa, Elena Taverna, Ornella Rossetto, Alberto Bacci and Ursula Schenk. Their work appears in journals such as Journal of Neuroscience, International Journal of Molecular Sciences, Journal of Biological Chemistry, Journal of Neurochemistry and Journal of Molecular Neuroscience.
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.