Pasqualina Farisello

15 total papers · 1.0k total citations
10 papers, 659 citations indexed

About

Pasqualina Farisello is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Pasqualina Farisello has authored 10 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Pasqualina Farisello's work include Neuroscience and Neuropharmacology Research (7 papers), Lipid Membrane Structure and Behavior (3 papers) and Neural dynamics and brain function (3 papers). Pasqualina Farisello is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Lipid Membrane Structure and Behavior (3 papers) and Neural dynamics and brain function (3 papers). Pasqualina Farisello collaborates with scholars based in Italy, United States and Switzerland. Pasqualina Farisello's co-authors include Fabio Benfenati, Pietro Baldelli, Giambattista Bonanno, Marco Milanese, Laura Musazzi, Maurizio Raiteri, Daniela Tardito, V.S. Barbiero, Alessandra Mallei and Giorgio Racagni and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Neuroscience.

In The Last Decade

Pasqualina Farisello

10 papers receiving 654 citations

Author Peers

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

Author Last Decade Papers Cites
Pasqualina Farisello 419 244 154 140 116 10 659
Patrick T. Piantadosi 323 0.8× 258 1.1× 189 1.2× 105 0.8× 119 1.0× 16 643
William B. Siesser 320 0.8× 105 0.4× 140 0.9× 89 0.6× 111 1.0× 9 714
Danai Riga 458 1.1× 218 0.9× 222 1.4× 128 0.9× 69 0.6× 16 703
András Szőnyi 409 1.0× 248 1.0× 183 1.2× 59 0.4× 72 0.6× 13 598
Kevin B. Baker 233 0.6× 258 1.1× 160 1.0× 169 1.2× 49 0.4× 9 612
Keith Tully 346 0.8× 305 1.3× 169 1.1× 106 0.8× 31 0.3× 9 677
Hans-Gert Bernstein 261 0.6× 213 0.9× 211 1.4× 58 0.4× 54 0.5× 17 638
Virginie Lardeux 399 1.0× 157 0.6× 93 0.6× 144 1.0× 44 0.4× 15 578
Daryn K. Cass 475 1.1× 259 1.1× 146 0.9× 129 0.9× 93 0.8× 10 696
Maria Nordheim Alme 358 0.9× 164 0.7× 239 1.6× 96 0.7× 64 0.6× 9 658

Countries citing papers authored by Pasqualina Farisello

Since Specialization
Citations

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

Fields of papers citing papers by Pasqualina Farisello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasqualina Farisello

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