Chiara Criscuolo

120 total papers · 3.5k total citations
58 papers, 1.5k citations indexed

About

Chiara Criscuolo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Chiara Criscuolo has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 16 papers in Molecular Biology and 16 papers in Neurology. Recurrent topics in Chiara Criscuolo's work include Genetic Neurodegenerative Diseases (20 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Mitochondrial Function and Pathology (10 papers). Chiara Criscuolo is often cited by papers focused on Genetic Neurodegenerative Diseases (20 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Mitochondrial Function and Pathology (10 papers). Chiara Criscuolo collaborates with scholars based in Italy, United States and Netherlands. Chiara Criscuolo's co-authors include Giuseppe De Michele, Alessandro Filla, Roberta Lanzillo, Anna De Rosa, Marcello Moccia, Gilda Cennamo, Antonio Carotenuto, P Mancini, Antonella Monticelli and Vincenzo Brescia Morra and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Neurology.

In The Last Decade

Chiara Criscuolo

56 papers receiving 1.5k 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 Criscuolo 682 598 403 238 190 58 1.5k
J E Olsson 1.4k 2.1× 710 1.2× 330 0.8× 98 0.4× 231 1.2× 51 2.3k
Bernd Rautenstrauß 746 1.1× 725 1.2× 239 0.6× 333 1.4× 387 2.0× 91 1.8k
Carole A. Bartlett 606 0.9× 488 0.8× 370 0.9× 280 1.2× 260 1.4× 61 1.7k
Richard Fairless 517 0.8× 596 1.0× 112 0.3× 227 1.0× 101 0.5× 39 1.4k
Paulo D. Koeberle 815 1.2× 655 1.1× 131 0.3× 317 1.3× 303 1.6× 34 1.5k
Ettore Salsano 629 0.9× 422 0.7× 529 1.3× 321 1.3× 40 0.2× 72 1.6k
G. Allt 558 0.8× 667 1.1× 273 0.7× 623 2.6× 50 0.3× 71 1.9k
Christophe Verny 853 1.3× 577 1.0× 699 1.7× 285 1.2× 115 0.6× 51 1.9k
Marie‐Hélène Canron 412 0.6× 319 0.5× 590 1.5× 349 1.5× 59 0.3× 28 1.3k
L.N. Went 1.1k 1.7× 325 0.5× 296 0.7× 113 0.5× 176 0.9× 84 2.3k

Countries citing papers authored by Chiara Criscuolo

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Criscuolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Criscuolo

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