Massimo Pasqualetti

71 papers and 2.8k indexed citations i.

About

Massimo Pasqualetti is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Massimo Pasqualetti has authored 71 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 39 papers in Cellular and Molecular Neuroscience and 15 papers in Genetics. Recurrent topics in Massimo Pasqualetti’s work include Neuroscience and Neuropharmacology Research (21 papers), Receptor Mechanisms and Signaling (19 papers) and Neurotransmitter Receptor Influence on Behavior (18 papers). Massimo Pasqualetti is often cited by papers focused on Neuroscience and Neuropharmacology Research (21 papers), Receptor Mechanisms and Signaling (19 papers) and Neurotransmitter Receptor Influence on Behavior (18 papers). Massimo Pasqualetti collaborates with scholars based in Italy, France and United States. Massimo Pasqualetti's 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 and has published in prestigious journals such as Nature, Science and Nature Genetics.

In The Last Decade

Co-authorship network of co-authors of Massimo Pasqualetti i

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.

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).

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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