Massimo Pasqualetti

4.5k citations
77 papers · 3.2k · h-index 33

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 22
    • Neurotransmitter Receptor Influence on Behavior 18
    • Receptor Mechanisms and Signaling 19
    • Developmental Biology and Gene Regulation 7
    • Congenital heart defects research 4

Massimo Pasqualetti

77 papers receiving 3.2k citations

Peers

Massimo Pasqualetti
Comparison fields: 5 of 137
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 218
  • Biological Psychiatry 99
  • Cognitive Neuroscience 663
  • Endocrine and Autonomic Systems 158
Replace Hidenori Aizawa with:
Hidenori Aizawa Japan
Ronald E. van Kesteren Netherlands
Nicole Calakos United States
Beatriz Rico Spain
Vladimir V. Senatorov United States
Pietro Baldelli Italy
Rajeshwar Awatramani United States
Andrii Rudenko United States
Katsuhiko Tabuchi Japan
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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 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006200
2 2000194
3 2012190
4 1999135
5 2008124
6 2006120
7 200498
8 201396
9 201495
10 202195
11 201083
12 201982
13 201479
14 201777
15 201876
16 200776
17 201768
18 201663
19 200763
20 199862

About Massimo Pasqualetti

Massimo Pasqualetti is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Genetics and Neurology, having authored 77 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (22 papers), Receptor Mechanisms and Signaling (19 papers), Neurotransmitter Receptor Influence on Behavior (18 papers), Genetics and Neurodevelopmental Disorders (10 papers), Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (8 papers), Developmental Biology and Gene Regulation (7 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (218 citations), Biological Psychiatry (99 citations), Cognitive Neuroscience (663 citations) and Endocrine and Autonomic Systems (158 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 Marta Pratelli. Their work appears in journals such as ACS Chemical Neuroscience, Scientific Reports, Journal of Neuroscience, PLoS ONE and Neurobiology of Disease.

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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