Chiara Chiapponi

27 total papers · 1.7k total citations
22 papers, 743 citations indexed

About

Chiara Chiapponi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Chiara Chiapponi has authored 22 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Psychiatry and Mental health. Recurrent topics in Chiara Chiapponi's work include Functional Brain Connectivity Studies (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Schizophrenia research and treatment (6 papers). Chiara Chiapponi is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Schizophrenia research and treatment (6 papers). Chiara Chiapponi collaborates with scholars based in Italy, United States and Germany. Chiara Chiapponi's co-authors include Gianfranco Spalletta, Fabrizio Piras, Carlo Caltagirone, Federica Piras, Paolo Girardi, Mariangela Iorio, Sabrina Fagioli, Debora Cutuli, Eleonora Picerni and Laura Petrosini and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and The British Journal of Psychiatry.

In The Last Decade

Chiara Chiapponi

22 papers receiving 742 citations

Author Peers

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

Author Last Decade Papers Cites
Chiara Chiapponi 336 231 218 169 96 22 743
Françoise Biver 312 0.9× 122 0.5× 197 0.9× 196 1.2× 61 0.6× 18 824
Lorenzo Pasquini 529 1.6× 235 1.0× 277 1.3× 83 0.5× 76 0.8× 30 871
Laurena Holleran 220 0.7× 216 0.9× 246 1.1× 79 0.5× 69 0.7× 36 676
A. Moffoot 442 1.3× 113 0.5× 293 1.3× 81 0.5× 139 1.4× 18 825
Jaya Padmanabhan 283 0.8× 108 0.5× 338 1.6× 80 0.5× 94 1.0× 22 705
Andrea Nani 621 1.8× 233 1.0× 186 0.9× 108 0.6× 138 1.4× 43 902
Radovan Přikryl 371 1.1× 162 0.7× 445 2.0× 163 1.0× 38 0.4× 43 788
Lian Du 494 1.5× 175 0.8× 228 1.0× 132 0.8× 164 1.7× 43 869
Pan Chen 395 1.2× 109 0.5× 241 1.1× 96 0.6× 155 1.6× 30 828
June Kang 323 1.0× 153 0.7× 114 0.5× 87 0.5× 107 1.1× 46 743

Countries citing papers authored by Chiara Chiapponi

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Chiapponi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Chiapponi

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