Fabio Perrucci

1.3k total citations · 1 hit paper
7 papers, 354 citations indexed

About

Fabio Perrucci is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Fabio Perrucci has authored 7 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Fabio Perrucci's work include Prion Diseases and Protein Misfolding (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Fabio Perrucci is often cited by papers focused on Prion Diseases and Protein Misfolding (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Fabio Perrucci collaborates with scholars based in Italy, United States and Switzerland. Fabio Perrucci's co-authors include Raffaella Morini, Michela Matteoli, Fabia Filipello, Matteo Bizzotto, Matteo Tamborini, Agata Witkowska, Lorena Passoni, Beth Stevens, Nicole Scott‐Hewitt and Matthew Mahoney and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Fabio Perrucci

7 papers receiving 352 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Local externalization of phosphatidylserine mediates developmental synaptic pruning by microglia

2020 285 citations Nicole Scott‐Hewitt, Fabio Perrucci et al. The EMBO Journal profile →

Peers

Fabio Perrucci

NEURO

IMMUN

MB

CMN

PHYSI

Jennifer Hua France

Iñaki Paris Spain

Anne-Laure Hemonnot-Girard France

Anna Podlesny‐Drabiniok France

Raasay S. Jones Ireland

Nasrin Saiepour Germany

Alexandra Phillips United Kingdom

Colleen J. Lawrimore United States

Liwang Liu United States

Jennifer Hua France

Fabio Perrucci

177 ×0.8

NEURO

50 ×0.5

IMMUN

121 ×1.2

MB

66 ×0.8

CMN

177 ×2.1

PHYSI

Citations per year, relative to Fabio Perrucci Fabio Perrucci (= 1×) peers Jennifer Hua

Countries citing papers authored by Fabio Perrucci

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Perrucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Perrucci

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Perrucci. A scholar is included among the top collaborators of Fabio Perrucci 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 Fabio Perrucci. Fabio Perrucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Ratto, Daniela, Fabio Perrucci, Alessandra Occhinegro, et al.. (2024). Predation cues induce predator specific changes in olfactory neurons encoding defensive responses in agile frog tadpoles. PLoS ONE. 19(5). e0302728–e0302728. 2 indexed citations

2.

Morini, Raffaella, Matteo Bizzotto, Fabio Perrucci, Fabia Filipello, & Michela Matteoli. (2021). Strategies and Tools for Studying Microglial-Mediated Synapse Elimination and Refinement. Frontiers in Immunology. 12. 640937–640937. 16 indexed citations

3.

Restelli, Elena, Raffaella Morini, Ilaria Bertani, et al.. (2020). Mutant prion proteins increase calcium permeability of AMPA receptors, exacerbating excitotoxicity. PLoS Pathogens. 16(7). e1008654–e1008654. 14 indexed citations

4.

Scott‐Hewitt, Nicole, Fabio Perrucci, Raffaella Morini, et al.. (2020). Local externalization of phosphatidylserine mediates developmental synaptic pruning by microglia. The EMBO Journal. 39(16). e105380–e105380. 285 indexed citations breakdown →

5.

Restelli, Elena, Raffaella Morini, Ilaria Bertani, et al.. (2020). Correction: Mutant prion proteins increase calcium permeability of AMPA receptors, exacerbating excitotoxicity. PLoS Pathogens. 16(12). e1009174–e1009174. 3 indexed citations

6.

Morini, Raffaella, S. D. Ferrara, Fabio Perrucci, et al.. (2018). Lack of the Actin Capping Protein, Eps8, Affects NMDA-Type Glutamate Receptor Function and Composition. Frontiers in Molecular Neuroscience. 11. 313–313. 6 indexed citations

7.

Rossi, Paola, Federico Brandalise, Alessandra Occhinegro, et al.. (2018). Dietary Supplementation of Lion’s Mane Medicinal Mushroom, Hericium erinaceus (Agaricomycetes), and Spatial Memory in Wild-Type Mice. International journal of medicinal mushrooms. 20(5). 485–494. 28 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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