Daniele Bravi

45 total papers · 1.8k total citations
38 papers, 1.4k citations indexed

About

Daniele Bravi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Daniele Bravi has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 12 papers in Cellular and Molecular Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Daniele Bravi's work include Parkinson's Disease Mechanisms and Treatments (22 papers), Neurological disorders and treatments (16 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Daniele Bravi is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (22 papers), Neurological disorders and treatments (16 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Daniele Bravi collaborates with scholars based in Italy, United States and Denmark. Daniele Bravi's co-authors include M. Maral Mouradian, Angelico Carta, Menotti Calvani, Thomas N. Chase, Thomas L. Davis, Jeffrey L. Cummings, Lynn A. Fairbanks, Angelo Antonini, John W. Roberts and Fabrizio Stocchi and has published in prestigious journals such as American Journal of Psychiatry, Neurology and Annals of Neurology.

In The Last Decade

Daniele Bravi

37 papers receiving 1.4k citations

Hit Papers

Parkinson disease therapy... 2024 2026 2024 10 20 30

Author Peers

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

Author Last Decade Papers Cites
Daniele Bravi 645 484 385 312 220 38 1.4k
Björn‐Erik Roos 351 0.5× 810 1.7× 252 0.7× 398 1.3× 207 0.9× 35 1.6k
G. Künig 527 0.8× 583 1.2× 136 0.4× 326 1.0× 179 0.8× 28 1.5k
William J. McEntee 450 0.7× 760 1.6× 181 0.5× 321 1.0× 149 0.7× 35 1.8k
K. Reinikainen 224 0.3× 381 0.8× 255 0.7× 282 0.9× 427 1.9× 32 1.4k
Artur Francisco Schumacher Schuh 531 0.8× 296 0.6× 295 0.8× 265 0.8× 198 0.9× 70 1.3k
Michel Dib 1.1k 1.7× 432 0.9× 265 0.7× 459 1.5× 288 1.3× 38 1.8k
Theodore A. Hare 181 0.3× 691 1.4× 237 0.6× 366 1.2× 207 0.9× 46 1.4k
Frederic Sampedro 645 1.0× 469 1.0× 299 0.8× 190 0.6× 275 1.3× 60 1.4k
D.W. Peterson 295 0.5× 520 1.1× 168 0.4× 336 1.1× 119 0.5× 24 1.1k
W Danielczyk 645 1.0× 538 1.1× 490 1.3× 383 1.2× 510 2.3× 77 1.8k

Countries citing papers authored by Daniele Bravi

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Bravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Bravi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Bravi. A scholar is included among the top collaborators of Daniele Bravi 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 Daniele Bravi. Daniele Bravi 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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