Francesca Succol
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Sleep and Wakefulness Research
- Memory and Neural Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 5
- Photoreceptor and optogenetics research 3
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- Neural dynamics and brain function 4
- Co-authors
- Stephen J. Moss (3 shared papers)Hajime Takano (1 shared paper)Philip G. Haydon (1 shared paper)Michael M. Halassa (1 shared paper)Marcos G. Frank (1 shared paper)Miho Terunuma (1 shared paper)Tommaso Fellin (1 shared paper)Fabio Benfenati (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)eLife (1 paper)Journal of Neuroscience (1 paper)Journal of Neurochemistry (1 paper)Cell Reports (1 paper)
- Partner nations
- ItalyUnited StatesSaudi Arabia
In The Last Decade
Francesca Succol
9 papers receiving 540 citations
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 388
- Cognitive Neuroscience 228
- Neurology 88
- Developmental Neuroscience 31
- Endocrine and Autonomic Systems 44
Countries citing papers authored by Francesca Succol
This map shows the geographic impact of Francesca Succol'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 Francesca Succol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Succol more than expected).
Fields of papers citing papers by Francesca Succol
This network shows the impact of papers produced by Francesca Succol. 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 Francesca Succol. The network helps show where Francesca Succol may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Succol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 177 | |
| 2 | 2018 | 101 | |
| 3 | 2012 | 73 | |
| 4 | 2012 | 71 | |
| 5 | 2009 | 35 | |
| 6 | 2020 | 34 | |
| 7 | 2007 | 32 | |
| 8 | 2011 | 30 | |
| 9 | 2019 | 1 |
About Francesca Succol
Francesca Succol is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Biophysics and Neurology, having authored 9 papers that have together received 554 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Lipid Membrane Structure and Behavior (2 papers), Ion channel regulation and function (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (388 citations), Cognitive Neuroscience (228 citations), Neurology (88 citations), Developmental Neuroscience (31 citations) and Endocrine and Autonomic Systems (44 citations). Francesca Succol has collaborated with scholars based in Italy, United States and Saudi Arabia. Frequent co-authors include Stephen J. Moss, Hajime Takano, Philip G. Haydon, Michael M. Halassa, Marcos G. Frank, Miho Terunuma, Tommaso Fellin, Fabio Benfenati, Andrea Barberis and Tija C. Jacob. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Journal of Neuroscience, Journal of Neurochemistry and Cell Reports.
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.