Alessandra Fabbro
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering top 5%
- Materials Chemistry
- Psychiatry and Mental health top 5%
- Molecular Biology
- Co-authors
- Laura BalleriniMaurizio PratoSusanna BosiAndrea NistriDenis ScainiRashid GiniatullinElsa FabbrettiDaniela Pietrobon
- Topics
- Neuroscience and Neural Engineering (10 papers)Graphene and Nanomaterials Applications (8 papers)Neuroscience of respiration and sleep (4 papers)
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Alessandra Fabbro
23 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 604
- Biomedical Engineering 572
- Materials Chemistry 296
- Psychiatry and Mental health 259
- Molecular Biology 241
Countries citing papers authored by Alessandra Fabbro
This map shows the geographic impact of Alessandra Fabbro'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 Alessandra Fabbro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra Fabbro more than expected).
Fields of papers citing papers by Alessandra Fabbro
This network shows the impact of papers produced by Alessandra Fabbro. 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 Alessandra Fabbro. The network helps show where Alessandra Fabbro may publish in the future.
Co-authorship network of co-authors of Alessandra Fabbro
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Fabbro. A scholar is included among the top collaborators of Alessandra Fabbro 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 Alessandra Fabbro. Alessandra Fabbro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 125 | |
| 3 | 141 | |
| 4 | 127 | |
| 5 | 40 | |
| 6 | 59 | |
| 7 | 85 | |
| 8 | 27 | |
| 9 | 114 | |
| 10 | 23 | |
| 11 | 10 | |
| 12 | 253 | |
| 13 | 74 | |
| 14 | 25 | |
| 15 | 34 | |
| 16 | 42 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 19 | |
| 20 | A Physics-Based, Accurate Spice Model of Impact-Ionization Effects in Bipolar Transistors | 4 |
About Alessandra Fabbro
Alessandra Fabbro is a scholar working on Physiology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), Graphene and Nanomaterials Applications (8 papers) and Neuroscience of respiration and sleep (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (604 citations), Physiology (129 citations) and Endocrine and Autonomic Systems (189 citations). Alessandra Fabbro has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Laura Ballerini, Maurizio Prato, Susanna Bosi, Andrea Nistri, Denis Scaini, Rashid Giniatullin, Elsa Fabbretti, Daniela Pietrobon, Michel D. Ferrari and Dania Vecchia. Their work appears in journals such as Journal of Biological Chemistry, Neuron and Journal of 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.