Valentina Cantoni

97 total papers · 2.3k total citations
40 papers, 904 citations indexed

About

Valentina Cantoni is a scholar working on Neurology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Valentina Cantoni has authored 40 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 17 papers in Cognitive Neuroscience and 12 papers in Neurology. Recurrent topics in Valentina Cantoni's work include Transcranial Magnetic Stimulation Studies (24 papers), Functional Brain Connectivity Studies (11 papers) and Amyotrophic Lateral Sclerosis Research (8 papers). Valentina Cantoni is often cited by papers focused on Transcranial Magnetic Stimulation Studies (24 papers), Functional Brain Connectivity Studies (11 papers) and Amyotrophic Lateral Sclerosis Research (8 papers). Valentina Cantoni collaborates with scholars based in Italy, United States and United Kingdom. Valentina Cantoni's co-authors include Barbara Borroni, Alberto Benussi, Maria Sofia Cotelli, Valentina Dell’Era, Alessandro Padovani, Antonella Alberici, Enrico Premi, Maria Cotelli, Jasmine Rivolta and Rosa Manenti and has published in prestigious journals such as Brain, Neurology and Annals of Neurology.

In The Last Decade

Valentina Cantoni

37 papers receiving 894 citations

Hit Papers

Brain-derived tau: a nove... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Valentina Cantoni 452 304 277 211 177 40 904
Valentina Dell’Era 508 1.1× 273 0.9× 356 1.3× 139 0.7× 130 0.7× 26 864
Dimitrios Kazis 312 0.7× 226 0.7× 257 0.9× 152 0.7× 209 1.2× 72 977
Rosanna Turrone 227 0.5× 213 0.7× 445 1.6× 159 0.8× 140 0.8× 35 748
Andrea Assini 274 0.6× 153 0.5× 235 0.8× 180 0.9× 114 0.6× 26 868
Guoming Xiong 212 0.5× 226 0.7× 139 0.5× 135 0.6× 204 1.2× 27 871
Yong‐An Chung 276 0.6× 235 0.8× 178 0.6× 81 0.4× 171 1.0× 67 889
Florian Klinker 314 0.7× 200 0.7× 140 0.5× 109 0.5× 89 0.5× 25 711
Andrew M. Vahabzadeh‐Hagh 482 1.1× 355 1.2× 104 0.4× 120 0.6× 123 0.7× 38 902
Héla Zouari 328 0.7× 151 0.5× 151 0.5× 211 1.0× 72 0.4× 34 734
Robin Borchert 195 0.4× 191 0.6× 209 0.8× 311 1.5× 152 0.9× 16 720

Countries citing papers authored by Valentina Cantoni

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Cantoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Cantoni

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