Chiara La Rosa

20 total papers · 467 total citations
13 papers, 322 citations indexed

About

Chiara La Rosa is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Chiara La Rosa has authored 13 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Developmental Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Chiara La Rosa's work include Neurogenesis and neuroplasticity mechanisms (9 papers), Axon Guidance and Neuronal Signaling (7 papers) and MicroRNA in disease regulation (3 papers). Chiara La Rosa is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (9 papers), Axon Guidance and Neuronal Signaling (7 papers) and MicroRNA in disease regulation (3 papers). Chiara La Rosa collaborates with scholars based in Italy, United States and France. Chiara La Rosa's co-authors include Luca Bonfanti, Roberta Parolisi, Chet C. Sherwood, Frédéric Lévy, Paola Crociara, Federico Luzzati, Carla Gentile, Roberto Chiarelli, Flores Naselli and Fabio Caradonna and has published in prestigious journals such as Journal of Neuroscience, Cerebral Cortex and Nutrients.

In The Last Decade

Chiara La Rosa

13 papers receiving 317 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 La Rosa 200 113 109 49 48 13 322
Stéphanie Segura 173 0.9× 89 0.8× 74 0.7× 25 0.5× 38 0.8× 8 304
Peter Rotheneichner 163 0.8× 115 1.0× 127 1.2× 28 0.6× 93 1.9× 12 361
María Bellés 170 0.8× 69 0.6× 155 1.4× 49 1.0× 49 1.0× 14 306
Núria Masachs 184 0.9× 82 0.7× 151 1.4× 60 1.2× 32 0.7× 9 327
Sylvie Poluch 199 1.0× 152 1.3× 180 1.7× 41 0.8× 38 0.8× 12 336
Pia Zaunmair 112 0.6× 144 1.3× 92 0.8× 24 0.5× 55 1.1× 11 333
Paola Crociara 126 0.6× 121 1.1× 78 0.7× 19 0.4× 68 1.4× 12 296
Tassilo Jungenitz 144 0.7× 96 0.8× 182 1.7× 79 1.6× 65 1.4× 18 339
Laura Cocas 166 0.8× 145 1.3× 111 1.0× 71 1.4× 37 0.8× 10 323
Jagroop Dhaliwal 157 0.8× 125 1.1× 74 0.7× 22 0.4× 84 1.8× 11 302

Countries citing papers authored by Chiara La Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Chiara La Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara La Rosa

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