Federico Piccoli

164 total papers · 2.2k total citations
83 papers, 1.7k citations indexed

About

Federico Piccoli is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Federico Piccoli has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Cellular and Molecular Neuroscience and 15 papers in Neurology. Recurrent topics in Federico Piccoli's work include Neuroscience and Neuropharmacology Research (13 papers), Amyotrophic Lateral Sclerosis Research (8 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). Federico Piccoli is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Amyotrophic Lateral Sclerosis Research (8 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). Federico Piccoli collaborates with scholars based in Italy, United States and Spain. Federico Piccoli's co-authors include Vincenzo La Bella, Rosa Guarneri, P. Guarneri, Tommaso Piccoli, Caterina Cascio, Ábel Lajtha, Daniele Lo Coco, Rossella Spataro, Vassilios Papadopoulos and Francesco Tessarolo and has published in prestigious journals such as The Lancet, Neurology and Annals of Neurology.

In The Last Decade

Federico Piccoli

80 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Federico Piccoli 585 443 379 229 177 83 1.7k
Dieter Heuß 724 1.2× 261 0.6× 239 0.6× 222 1.0× 250 1.4× 62 1.5k
Young Seok Park 415 0.7× 296 0.7× 333 0.9× 105 0.5× 179 1.0× 116 1.5k
Hideaki Iizuka 587 1.0× 428 1.0× 350 0.9× 286 1.2× 146 0.8× 133 2.1k
Bernard M. Patten 648 1.1× 321 0.7× 172 0.5× 140 0.6× 193 1.1× 65 1.6k
Robert M. Pascuzzi 1.3k 2.2× 639 1.4× 687 1.8× 192 0.8× 135 0.8× 90 2.4k
Martijn R. Tannemaat 617 1.1× 319 0.7× 786 2.1× 97 0.4× 252 1.4× 92 2.2k
Gang Zhu 554 0.9× 452 1.0× 291 0.8× 114 0.5× 116 0.7× 82 1.6k
Edith Reske‐Nielsen 490 0.8× 523 1.2× 171 0.5× 171 0.7× 379 2.1× 97 1.9k
Ming‐Hong Chang 338 0.6× 246 0.6× 403 1.1× 227 1.0× 307 1.7× 81 1.4k
Flavio Giordano 774 1.3× 320 0.7× 332 0.9× 347 1.5× 234 1.3× 138 2.3k

Countries citing papers authored by Federico Piccoli

Since Specialization
Citations

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

Fields of papers citing papers by Federico Piccoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Piccoli

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