Massimo Pasqualetti

4.2k citations
81 papers · 3.5k · h-index 34

Impact in

Papers in

Massimo Pasqualetti

79 papers receiving 3.5k citations

Peers

Massimo Pasqualetti
Comparison fields: 5 of 114
  • Developmental Neuroscience 210
  • Cellular and Molecular Neuroscience 801
  • Biological Psychiatry 46
  • Cognitive Neuroscience 589
  • Endocrine and Autonomic Systems 110
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Arpiar Saunders United States
Hidenori Aizawa Japan
Joanna L. Jankowsky United States
Konstantin Radyushkin Germany
Jean‐Pierre Hornung Switzerland
Zhanyan Fu United States
Tiago Ferreira United States
Alan R. Mardinly United States
Randal J. Nonneman United States
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Pasqualetti

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Pasqualetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Pasqualetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Pasqualetti Line = papers co-authored together Massimo Pasqualetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006207
2 2012200
3 2000189
4 1999138
5 2008124
6 2006119
7 2021107
8 2004101
9 200499
10 201499
11 201397
12 201889
13 201988
14 201086
15 201786
16 201481
17 202281
18 200777
19 199865
20 201665

About Massimo Pasqualetti

Massimo Pasqualetti is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Cognitive Neuroscience, Neurology and Psychiatry and Mental health, having authored 81 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (21 papers), Developmental Biology and Gene Regulation (13 papers), Neuroscience and Neuropharmacology Research (12 papers), Genetics and Neurodevelopmental Disorders (8 papers), Functional Brain Connectivity Studies (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Autism Spectrum Disorder Research (6 papers) and Epilepsy research and treatment (5 papers). The work is most often cited by research in Developmental Neuroscience (210 citations), Cellular and Molecular Neuroscience (801 citations), Biological Psychiatry (46 citations), Cognitive Neuroscience (589 citations) and Endocrine and Autonomic Systems (110 citations). Massimo Pasqualetti has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Filippo M. Rijli, Irma Nardi, Michela Ori, Sara Migliarini, Barbara Pelosi, Giulia Pacini, Alessandro Gozzi, Alberto Galbusera, Donatella Marazziti and Alice Bertero. Their work appears in journals such as ACS Chemical Neuroscience, Scientific Reports, Journal of Neuroscience, PLoS ONE and Nature Communications.

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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