Stefano Casali

849 total citations
10 papers, 599 citations indexed

About

Stefano Casali is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stefano Casali has authored 10 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stefano Casali's work include Vestibular and auditory disorders (6 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Stefano Casali is often cited by papers focused on Vestibular and auditory disorders (6 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Stefano Casali collaborates with scholars based in Italy, United Kingdom and Finland. Stefano Casali's co-authors include Egidio D’Angelo, Claudia Casellato, Claudia A. M. Gandini Wheeler‐Kingshott, Elena Sinforiani, Gloria Castellazzi, Stefano Masoli, Paolo Vitali, Fulvia Palesi, Lisa Mapelli and Jonathan Mapelli and has published in prestigious journals such as Scientific Reports, PLoS Computational Biology and Cells.

In The Last Decade

Stefano Casali

10 papers receiving 589 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefano Casali Italy 10 367 278 152 102 70 10 599
Peter L Carras United States 4 290 0.8× 199 0.7× 300 2.0× 86 0.8× 28 0.4× 5 699
Raudel Sánchez‐Campusano Spain 14 355 1.0× 343 1.2× 350 2.3× 20 0.2× 62 0.9× 23 699
Ivan Herreros Spain 9 243 0.7× 150 0.5× 122 0.8× 37 0.4× 20 0.3× 21 448
Pavel Filip Czechia 16 213 0.6× 174 0.6× 239 1.6× 120 1.2× 35 0.5× 58 774
Charles Rodenkirch United States 6 675 1.8× 106 0.4× 248 1.6× 26 0.3× 94 1.3× 7 814
Stella Koutsikou United Kingdom 12 171 0.5× 93 0.3× 275 1.8× 31 0.3× 75 1.1× 25 836
Gabrielle T Drummond United States 6 314 0.9× 175 0.6× 310 2.0× 40 0.4× 36 0.5× 8 692
Nicola Riccardo Polizzotto United States 13 697 1.9× 216 0.8× 99 0.7× 74 0.7× 12 0.2× 20 862
Thibaut Sesia Netherlands 13 374 1.0× 91 0.3× 366 2.4× 34 0.3× 24 0.3× 18 762
Manuela Rosa Italy 19 482 1.3× 391 1.4× 500 3.3× 35 0.3× 26 0.4× 27 1.2k

Countries citing papers authored by Stefano Casali

Since Specialization
Citations

This map shows the geographic impact of Stefano Casali'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 Stefano Casali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Casali more than expected).

Fields of papers citing papers by Stefano Casali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano Casali. 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 Stefano Casali. The network helps show where Stefano Casali may publish in the future.

Co-authorship network of co-authors of Stefano Casali

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Casali. A scholar is included among the top collaborators of Stefano Casali 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 Stefano Casali. Stefano Casali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Casellato, Claudia, Stefano Casali, Andrew Rowley, et al.. (2021). Towards a Bio-Inspired Real-Time Neuromorphic Cerebellum. Frontiers in Cellular Neuroscience. 15. 622870–622870. 12 indexed citations
3.
Mapelli, Jonathan, Daniela Gandolfi, Enrico Giuliani, et al.. (2021). The effects of the general anesthetic sevoflurane on neurotransmission: an experimental and computational study. Scientific Reports. 11(1). 4335–4335. 24 indexed citations
4.
Casali, Stefano, et al.. (2020). Cellular-resolution mapping uncovers spatial adaptive filtering at the rat cerebellum input stage. Communications Biology. 3(1). 635–635. 19 indexed citations
5.
Masoli, Stefano, et al.. (2020). Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity. PLoS Computational Biology. 16(12). e1007937–e1007937. 14 indexed citations
6.
Casali, Stefano, et al.. (2019). Reconstruction and Simulation of a Scaffold Model of the Cerebellar Network. Frontiers in Neuroinformatics. 13. 37–37. 37 indexed citations
7.
D’Angelo, Egidio, Alberto Antonietti, Stefano Casali, et al.. (2016). Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue. Frontiers in Cellular Neuroscience. 10. 176–176. 63 indexed citations
8.
Cattaneo, Zaira, Chiara Renzi, Stefano Casali, et al.. (2014). Cerebellar vermis plays a causal role in visual motion discrimination. Cortex. 58. 272–280. 43 indexed citations
9.
Castellazzi, Gloria, Fulvia Palesi, Stefano Casali, et al.. (2014). A comprehensive assessment of resting state networks: bidirectional modification of functional integrity in cerebro-cerebellar networks in dementia. Frontiers in Neuroscience. 8. 223–223. 66 indexed citations
10.
D’Angelo, Egidio & Stefano Casali. (2013). Seeking a unified framework for cerebellar function and dysfunction: from circuit operations to cognition. Frontiers in Neural Circuits. 6. 116–116. 308 indexed citations

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.

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