Flavio Di Stasio

38 total papers · 920 total citations
25 papers, 592 citations indexed

About

Flavio Di Stasio is a scholar working on Neurology, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Flavio Di Stasio has authored 25 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 12 papers in Neurology and 5 papers in Cognitive Neuroscience. Recurrent topics in Flavio Di Stasio's work include Neurological disorders and treatments (14 papers), Transcranial Magnetic Stimulation Studies (12 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Flavio Di Stasio is often cited by papers focused on Neurological disorders and treatments (14 papers), Transcranial Magnetic Stimulation Studies (12 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Flavio Di Stasio collaborates with scholars based in Italy, United Kingdom and United States. Flavio Di Stasio's co-authors include Alfredo Berardelli, Antonio Suppa, Giovanni Fabbrini, Luca Marsili, Carlo Colosimo, Antonella Conte, Neeraj Upadhyay, Lorenzo Rocchi, John C. Rothwell and Daniele Belvisi and has published in prestigious journals such as Journal of Neurophysiology, Experimental Brain Research and European Journal of Neuroscience.

In The Last Decade

Flavio Di Stasio

24 papers receiving 587 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Flavio Di Stasio 440 244 140 116 60 25 592
Christopher S. Lozano 401 0.9× 169 0.7× 198 1.4× 147 1.3× 112 1.9× 17 667
Luciano Furlanetti 389 0.9× 150 0.6× 261 1.9× 108 0.9× 47 0.8× 47 684
F. Carrillo 426 1.0× 178 0.7× 129 0.9× 128 1.1× 57 0.9× 23 619
Philippe De Vloo 372 0.8× 90 0.4× 229 1.6× 70 0.6× 64 1.1× 49 596
Ute Hidding 406 0.9× 126 0.5× 159 1.1× 82 0.7× 38 0.6× 34 648
J. Dressnandt 328 0.7× 306 1.3× 117 0.8× 161 1.4× 48 0.8× 16 668
Stefano Ferrea 302 0.7× 103 0.4× 171 1.2× 135 1.2× 77 1.3× 30 655
María Teresa Cáceres‐Redondo 347 0.8× 134 0.5× 126 0.9× 90 0.8× 34 0.6× 19 529
A. Tavella 557 1.3× 128 0.5× 197 1.4× 81 0.7× 48 0.8× 17 631
A. Gerdelat-Mas 320 0.7× 200 0.8× 111 0.8× 132 1.1× 22 0.4× 14 560

Countries citing papers authored by Flavio Di Stasio

Since Specialization
Citations

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

Fields of papers citing papers by Flavio Di Stasio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flavio Di Stasio. 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 Flavio Di Stasio. The network helps show where Flavio Di Stasio may publish in the future.

Co-authorship network of co-authors of Flavio Di Stasio

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

All Works

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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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