Sonia Gasparini
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Molecular Biology
- Electrical and Electronic Engineering
- Neurology top 10%
- Co-authors
- Jeffrey C. MageeDario DiFrancescoMichele MiglioreL. L. VoroninEnrico CherubiniChiara SavianeCrescent L. CombeGuy M. McKhann
- Topics
- Neuroscience and Neuropharmacology Research (19 papers)Ion channel regulation and function (11 papers)Neural dynamics and brain function (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Physiology
- Partner nations
- United StatesItalyRussia
In The Last Decade
Sonia Gasparini
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 1.2k
- Cognitive Neuroscience 798
- Molecular Biology 520
- Electrical and Electronic Engineering 108
- Neurology 95
Countries citing papers authored by Sonia Gasparini
This map shows the geographic impact of Sonia Gasparini'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 Sonia Gasparini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Gasparini more than expected).
Fields of papers citing papers by Sonia Gasparini
This network shows the impact of papers produced by Sonia Gasparini. 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 Sonia Gasparini. The network helps show where Sonia Gasparini may publish in the future.
Co-authorship network of co-authors of Sonia Gasparini
This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Gasparini. A scholar is included among the top collaborators of Sonia Gasparini 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 Sonia Gasparini. Sonia Gasparini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 37 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 17 | |
| 8 | 11 | |
| 9 | 57 | |
| 10 | 63 | |
| 11 | 216 | |
| 12 | 19 | |
| 13 | 250 | |
| 14 | 15 | |
| 15 | 51 | |
| 16 | 87 | |
| 17 | 159 | |
| 18 | 18 | |
| 19 | 54 | |
| 20 | 191 |
About Sonia Gasparini
Sonia Gasparini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Ion channel regulation and function (11 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Cognitive Neuroscience (798 citations) and Sensory Systems (77 citations). Sonia Gasparini has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include Jeffrey C. Magee, Dario DiFrancesco, Michele Migliore, L. L. Voronin, Enrico Cherubini, Chiara Saviane, Crescent L. Combe, Guy M. McKhann, Raimondo D’Ambrosio and Damir Janigro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of 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.