Matteo Donegà
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Developmental Neuroscience top 2%
- Neurology top 5%
- Biomaterials top 10%
- Co-authors
- Stefano PluchinoFabrizio GelainChiara CossettiStefania AntoniniClara Alfaro‐CervellóAngelo L. VescoviDaniela CigogniniElena Giusto
- Topics
- Neurogenesis and neuroplasticity mechanisms (8 papers)Vagus Nerve Stimulation Research (6 papers)Neuroscience and Neural Engineering (6 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Matteo Donegà
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Cellular and Molecular Neuroscience 464
- Molecular Biology 373
- Developmental Neuroscience 261
- Neurology 241
- Biomaterials 186
Countries citing papers authored by Matteo Donegà
This map shows the geographic impact of Matteo Donegà'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 Matteo Donegà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Donegà more than expected).
Fields of papers citing papers by Matteo Donegà
This network shows the impact of papers produced by Matteo Donegà. 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 Matteo Donegà. The network helps show where Matteo Donegà may publish in the future.
Co-authorship network of co-authors of Matteo Donegà
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Donegà. A scholar is included among the top collaborators of Matteo Donegà 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 Matteo Donegà. Matteo Donegà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 34 | |
| 3 | 43 | |
| 4 | 24 | |
| 5 | 23 | |
| 6 | 9 | |
| 7 | 198 | |
| 8 | 49 | |
| 9 | 35 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 49 | |
| 13 | Bilateral electrical modulation of carotid sinus nerve improves glucose homeostasis in rodent type 2 diabetes model | 1 |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 66 | |
| 18 | 48 | |
| 19 | 75 | |
| 20 | 98 |
About Matteo Donegà
Matteo Donegà is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (8 papers), Vagus Nerve Stimulation Research (6 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Developmental Neuroscience (261 citations), Neurology (241 citations) and Cellular and Molecular Neuroscience (464 citations). Matteo Donegà has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Stefano Pluchino, Fabrizio Gelain, Chiara Cossetti, Stefania Antonini, Clara Alfaro‐Cervelló, Angelo L. Vescovi, Daniela Cigognini, Elena Giusto, Daniel Chew and Diego Augusto Santos Silva. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Nano and PLoS ONE.
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.