Vittoria Raffa
- Materials Chemistry top 5%
- Biomedical Engineering top 1%
- Biomaterials top 1%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- A. CuschieriGianni CiofaniArianna MenciassiCristina RiggioOrazio VittorioPaolo DarioM. Pilar CalatayudGerardo F. Goya
- Topics
- Graphene and Nanomaterials Applications (26 papers)Carbon Nanotubes in Composites (18 papers)Neuroscience and Neural Engineering (15 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Vittoria Raffa
104 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 139
- Materials Chemistry 1.7k
- Biomedical Engineering 1.6k
- Biomaterials 738
- Molecular Biology 666
- Cellular and Molecular Neuroscience 463
Countries citing papers authored by Vittoria Raffa
This map shows the geographic impact of Vittoria Raffa'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 Vittoria Raffa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vittoria Raffa more than expected).
Fields of papers citing papers by Vittoria Raffa
This network shows the impact of papers produced by Vittoria Raffa. 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 Vittoria Raffa. The network helps show where Vittoria Raffa may publish in the future.
Co-authorship network of co-authors of Vittoria Raffa
This figure shows the co-authorship network connecting the top 25 collaborators of Vittoria Raffa. A scholar is included among the top collaborators of Vittoria Raffa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vittoria Raffa. Vittoria Raffa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 16 | |
| 7 | 26 | |
| 8 | 13 | |
| 9 | 43 | |
| 10 | 4 | |
| 11 | 33 | |
| 12 | 4 | |
| 13 | 17 | |
| 14 | 224 | |
| 15 | 18 | |
| 16 | 124 | |
| 17 | 11 | |
| 18 | Cell-penetrating carbon nanotubes for delivery of therapeutics | 12 |
| 19 | 3 | |
| 20 | A methodology for high precision fabrication, modification and characterization of neural interfaces | 1 |
About Vittoria Raffa
Vittoria Raffa is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Biomaterials, having authored 108 papers that have together received 3.7k indexed citations. Recurring topics across this work include Graphene and Nanomaterials Applications (26 papers), Carbon Nanotubes in Composites (18 papers) and Neuroscience and Neural Engineering (15 papers). The work is most often cited by research in Biomaterials (738 citations), Developmental Neuroscience (159 citations) and Biomedical Engineering (1.6k citations). Vittoria Raffa has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include A. Cuschieri, Gianni Ciofani, Arianna Menciassi, Cristina Riggio, Orazio Vittorio, Paolo Dario, M. Pilar Calatayud, Gerardo F. Goya, Beatriz Sanz and Luciana Dente. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nano Letters.
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.