Giada Cellot
Impact in
-
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Neuroscience and Neuropharmacology Research 12
- Neuroscience and Neural Engineering 9
- Nerve injury and regeneration 2
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- Graphene and Nanomaterials Applications 12
- Co-authors
- Enrico Cherubini (6 shared papers)Laura Ballerini (27 shared papers)Maurizio Prato (13 shared papers)Denis Scaini (5 shared papers)Francesca Maria Toma (5 shared papers)Sara Cipollone (2 shared papers)Michèle Giugliano (2 shared papers)Valentina C. Martinelli (4 shared papers)
- Journals
- ACS Nano (4 papers)Nanoscale Horizons (2 papers)Journal of Neuroscience (2 papers)Progress in brain research (1 paper)Frontiers in Physiology (1 paper)
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Giada Cellot
35 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 735
- Biomaterials 275
- Biomedical Engineering 590
- Developmental Neuroscience 45
- Molecular Medicine 69
Countries citing papers authored by Giada Cellot
This map shows the geographic impact of Giada Cellot'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 Giada Cellot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giada Cellot more than expected).
Fields of papers citing papers by Giada Cellot
This network shows the impact of papers produced by Giada Cellot. 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 Giada Cellot. The network helps show where Giada Cellot may publish in the future.
Co-authors
The 25 scholars most cited alongside Giada Cellot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 465 | |
| 2 | 2014 | 236 | |
| 3 | 2015 | 199 | |
| 4 | 2012 | 198 | |
| 5 | 2011 | 142 | |
| 6 | 2013 | 101 | |
| 7 | 2024 | 82 | |
| 8 | 2013 | 77 | |
| 9 | 2020 | 66 | |
| 10 | 2009 | 65 | |
| 11 | 2016 | 56 | |
| 12 | 2009 | 49 | |
| 13 | 2013 | 49 | |
| 14 | 2021 | 38 | |
| 15 | 2014 | 32 | |
| 16 | 2010 | 31 | |
| 17 | 2016 | 30 | |
| 18 | 2013 | 29 | |
| 19 | 2011 | 27 | |
| 20 | 2013 | 24 |
About Giada Cellot
Giada Cellot is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience, Cell Biology and Genetics, having authored 36 papers that have together received 2.2k indexed citations. Recurring topics across this work include Graphene and Nanomaterials Applications (12 papers), Neuroscience and Neuropharmacology Research (12 papers), Neuroscience and Neural Engineering (9 papers), Tissue Engineering and Regenerative Medicine (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Nerve injury and regeneration (2 papers), Autism Spectrum Disorder Research (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (735 citations), Biomaterials (275 citations), Biomedical Engineering (590 citations), Developmental Neuroscience (45 citations) and Molecular Medicine (69 citations). Giada Cellot has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Enrico Cherubini, Laura Ballerini, Maurizio Prato, Denis Scaini, Francesca Maria Toma, Sara Cipollone, Michèle Giugliano, Valentina C. Martinelli, Luisa Mestroni and Vladimir Rančić. Their work appears in journals such as ACS Nano, Nanoscale Horizons, Journal of Neuroscience, Progress in brain research and Frontiers in Physiology.
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.