Cristina Berchio

43 total papers · 714 total citations
24 papers, 495 citations indexed

About

Cristina Berchio is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Clinical Psychology. According to data from OpenAlex, Cristina Berchio has authored 24 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 10 papers in Psychiatry and Mental health and 8 papers in Clinical Psychology. Recurrent topics in Cristina Berchio's work include Functional Brain Connectivity Studies (8 papers), Neural and Behavioral Psychology Studies (6 papers) and Action Observation and Synchronization (5 papers). Cristina Berchio is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neural and Behavioral Psychology Studies (6 papers) and Action Observation and Synchronization (5 papers). Cristina Berchio collaborates with scholars based in Switzerland, Italy and United Kingdom. Cristina Berchio's co-authors include Vittorio Gallese, Maria Alessandra Umiltà, David Freedberg, Magali Jane Rochat, Mariateresa Sestito, Christoph M. Michel, Camille Piguet, Alexandre Dayer, Jean‐Michel Aubry and Nadia Micali and has published in prestigious journals such as PLoS ONE, Experimental Brain Research and European Journal of Neuroscience.

In The Last Decade

Cristina Berchio

24 papers receiving 470 citations

Author Peers

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

Author Last Decade Papers Cites
Cristina Berchio 393 207 144 92 64 24 495
Marta Calbi 351 0.9× 174 0.8× 204 1.4× 26 0.3× 36 0.6× 25 505
Marco Zanon 364 0.9× 138 0.7× 176 1.2× 65 0.7× 27 0.4× 23 531
Giuseppe Di Cesare 342 0.9× 343 1.7× 142 1.0× 82 0.9× 109 1.7× 29 505
Ken Yaoi 398 1.0× 131 0.6× 107 0.7× 65 0.7× 40 0.6× 36 504
Takehiro Minamoto 385 1.0× 127 0.6× 113 0.8× 44 0.5× 33 0.5× 28 482
Jennifer Montagu 217 0.6× 63 0.3× 64 0.4× 99 1.1× 27 0.4× 39 517
Eriko Sugimori 266 0.7× 157 0.8× 90 0.6× 228 2.5× 21 0.3× 38 458
Lucy M. McGarry 296 0.8× 193 0.9× 111 0.8× 34 0.4× 53 0.8× 11 429
Mariana Von Mohr 235 0.6× 282 1.4× 133 0.9× 114 1.2× 13 0.2× 21 515
Vanessa Era 315 0.8× 289 1.4× 87 0.6× 32 0.3× 76 1.2× 29 439

Countries citing papers authored by Cristina Berchio

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Berchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Berchio

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