Federica Parisi

468 total citations
10 papers, 362 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 362 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 Kingdom and United States. Federica Parisi's co-authors include Marcos Vidal, Daniela Grifoni, Paola Bellosta, Yachuan Yu, Karen Strathdee, Rhoda Stefanatos, 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 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Federica Parisi Italy 9 173 130 123 100 47 10 362
Jillian L. Lindblad United States 8 231 1.3× 137 1.1× 188 1.5× 71 0.7× 35 0.7× 9 410
Salvador C. Herrera Spain 7 288 1.7× 160 1.2× 132 1.1× 103 1.0× 21 0.4× 12 454
Dong Yan United States 10 430 2.5× 127 1.0× 106 0.9× 105 1.1× 31 0.7× 14 572
Jahda H. Hill United States 4 290 1.7× 131 1.0× 53 0.4× 40 0.4× 30 0.6× 5 491
Saurabh G. Roy United States 10 278 1.6× 55 0.4× 150 1.2× 205 2.0× 172 3.7× 10 574
Shaila Srinivasan India 11 358 2.1× 84 0.6× 60 0.5× 74 0.7× 33 0.7× 17 508
Katharina Bender Germany 5 399 2.3× 79 0.6× 76 0.6× 75 0.8× 13 0.3× 6 499
Anne‐Marie Pret France 12 262 1.5× 77 0.6× 83 0.7× 116 1.2× 47 1.0× 19 402
Hyung-Lok Chung United States 10 233 1.3× 67 0.5× 40 0.3× 47 0.5× 28 0.6× 17 344
Tony Cijsouw Netherlands 8 302 1.7× 121 0.9× 129 1.0× 114 1.1× 34 0.7× 12 505

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

10 of 10 papers shown
1.
Verginer, Luca, et al.. (2025). Acquisitions as catalysts for inventor departures in the biotechnology industry. Humanities and Social Sciences Communications. 12(1). 1 indexed citations
3.
Parisi, Federica, et al.. (2014). Inositol phosphates induce DAPI fluorescence shift. Biochemical Journal. 460(3). 377–385. 28 indexed citations
4.
Parisi, Federica, Rhoda Stefanatos, Karen Strathdee, Yachuan Yu, & Marcos Vidal. (2014). Transformed Epithelia Trigger Non-Tissue-Autonomous Tumor Suppressor Response by Adipocytes via Activation of Toll and Eiger/TNF Signaling. Cell Reports. 6(5). 855–867. 88 indexed citations
5.
Parisi, Federica, et al.. (2013). dMyc expression in the fat body affects DILP2 release and increases the expression of the fat desaturase Desat1 resulting in organismal growth. Developmental Biology. 379(1). 64–75. 41 indexed citations
6.
Parisi, Federica & Marcos Vidal. (2011). Epithelial delamination and migration. Cell Adhesion & Migration. 5(4). 366–372. 21 indexed citations
7.
Parisi, Federica, Mahesh Saqcena, Nandini Kundu, et al.. (2011). Drosophila insulin and target of rapamycin (TOR) pathways regulate GSK3 beta activity to control Myc stability and determine Myc expression in vivo. BMC Biology. 9(1). 65–65. 56 indexed citations
8.
Galletti, Margherita, Federica Parisi, Mahesh Saqcena, et al.. (2009). Identification of Domains Responsible for Ubiquitin-Dependent Degradation of dMyc by Glycogen Synthase Kinase 3β and Casein Kinase 1 Kinases. Molecular and Cellular Biology. 29(12). 3424–3434. 30 indexed citations
9.
Froldi, Francesca, Marcello Ziosi, Gianpaolo Scalia Tomba, et al.. (2008). Drosophila Lethal Giant Larvae Neoplastic Mutant as a Genetic Tool for Cancer Modeling. Current Genomics. 9(3). 147–154. 26 indexed citations
10.
Grifoni, Daniela, Flavio Garoia, Paola Bellosta, et al.. (2007). aPKCζ cortical loading is associated with Lgl cytoplasmic release and tumor growth in Drosophila and human epithelia. Oncogene. 26(40). 5960–5965. 61 indexed citations

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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