Federica Parisi

13 total papers · 465 total citations
10 papers, 361 citations indexed

About

Federica Parisi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Federica Parisi has authored 10 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Federica Parisi's work include Hippo pathway signaling and YAP/TAZ (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). Federica Parisi is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). Federica Parisi collaborates with scholars based in Italy, United States and United Kingdom. Federica Parisi's co-authors include Marcos Vidal, Daniela Grifoni, Paola Bellosta, Karen Strathdee, Rhoda Stefanatos, Yachuan Yu, Annalisa Pession, Flavio Garoia, Adolfo Saiardi and Mahesh Saqcena and has published in prestigious journals such as Molecular and Cellular Biology, Oncogene and Biochemical Journal.

In The Last Decade

Federica Parisi

10 papers receiving 356 citations

Author Peers

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

Author Last Decade Papers Cites
Federica Parisi 174 130 123 100 46 10 361
Erdem Bangi 257 1.5× 157 1.2× 126 1.0× 82 0.8× 42 0.9× 16 400
Anahí Binagui-Casas 246 1.4× 166 1.3× 135 1.1× 44 0.4× 15 0.3× 8 396
Neha Diwanji 193 1.1× 92 0.7× 147 1.2× 46 0.5× 25 0.5× 13 397
Philip T. Edeen 164 0.9× 81 0.6× 57 0.5× 124 1.2× 29 0.6× 10 355
Catarina Cunha-Santos 272 1.6× 59 0.5× 69 0.6× 51 0.5× 17 0.4× 13 388
Bernhard Fuß 301 1.7× 126 1.0× 53 0.4× 74 0.7× 18 0.4× 10 381
Till Matzat 188 1.1× 120 0.9× 46 0.4× 165 1.6× 13 0.3× 12 401
Anne‐Marie Pret 262 1.5× 77 0.6× 83 0.7× 116 1.2× 47 1.0× 19 402
Manuela Sollazzo 237 1.4× 106 0.8× 53 0.4× 46 0.5× 23 0.5× 15 394
Ying‐Chen Claire Hou 191 1.1× 48 0.4× 50 0.4× 29 0.3× 25 0.5× 12 382

Countries citing papers authored by Federica Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Federica Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Parisi

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Parisi. A scholar is included among the top collaborators of Federica Parisi 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 Federica Parisi. Federica Parisi 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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2026