Roberta Parolisi

51 total papers · 1.4k total citations
25 papers, 1.0k citations indexed

About

Roberta Parolisi is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Roberta Parolisi has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Developmental Neuroscience and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Roberta Parolisi's work include Neurogenesis and neuroplasticity mechanisms (12 papers), MicroRNA in disease regulation (6 papers) and Congenital heart defects research (5 papers). Roberta Parolisi is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (12 papers), MicroRNA in disease regulation (6 papers) and Congenital heart defects research (5 papers). Roberta Parolisi collaborates with scholars based in Italy, United States and France. Roberta Parolisi's co-authors include Enrica Boda, Luca Bonfanti, Annalisa Buffo, Eriola Hoxha, Filippo Tempia, Chiara La Rosa, Claudia Verderio, Martina Gabrielli, Marta Lombardi and Alessandro Pini and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Roberta Parolisi

25 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Roberta Parolisi 532 288 286 224 221 25 1.0k
David R. Serwanski 590 1.1× 342 1.2× 307 1.1× 509 2.3× 162 0.7× 20 1.2k
Kathrin Kusch 445 0.8× 282 1.0× 259 0.9× 296 1.3× 76 0.3× 35 1.0k
Anna Wade 482 0.9× 553 1.9× 272 1.0× 308 1.4× 228 1.0× 18 1.1k
Suijuan Zhong 859 1.6× 233 0.8× 211 0.7× 146 0.7× 141 0.6× 19 1.2k
Enrica Boda 372 0.7× 274 1.0× 203 0.7× 256 1.1× 114 0.5× 34 910
Jean‐François Théroux 457 0.9× 154 0.5× 213 0.7× 175 0.8× 104 0.5× 16 870
Omar de Faria 363 0.7× 319 1.1× 228 0.8× 173 0.8× 218 1.0× 17 839
Li‐Jin Chew 471 0.9× 290 1.0× 284 1.0× 152 0.7× 166 0.8× 24 1.2k
Lorenza Magno 460 0.9× 279 1.0× 247 0.9× 332 1.5× 66 0.3× 23 957
M. Didier‐Bazes 377 0.7× 172 0.6× 209 0.7× 479 2.1× 135 0.6× 35 1.2k

Countries citing papers authored by Roberta Parolisi

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Parolisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Parolisi

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