Gianpiero Boatto

109 total papers · 2.2k total citations
94 papers, 1.8k citations indexed

About

Gianpiero Boatto is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Organic Chemistry. According to data from OpenAlex, Gianpiero Boatto has authored 94 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 26 papers in Toxicology and 20 papers in Organic Chemistry. Recurrent topics in Gianpiero Boatto's work include Forensic Toxicology and Drug Analysis (24 papers), Neurotransmitter Receptor Influence on Behavior (16 papers) and Psychedelics and Drug Studies (11 papers). Gianpiero Boatto is often cited by papers focused on Forensic Toxicology and Drug Analysis (24 papers), Neurotransmitter Receptor Influence on Behavior (16 papers) and Psychedelics and Drug Studies (11 papers). Gianpiero Boatto collaborates with scholars based in Italy, Germany and France. Gianpiero Boatto's co-authors include Maria Nieddu, Antonio Carta, Riccardo Cerri, Irene Briguglio, Elisabetta Gavini, Giorgio Pintore, Mario Chessa, Sandra Piras, Marianna Usaï and Paola Corona and has published in prestigious journals such as PLoS ONE, Neuroscience and Journal of Medicinal Chemistry.

In The Last Decade

Gianpiero Boatto

92 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Gianpiero Boatto 397 383 351 282 254 94 1.8k
Jih‐Heng Li 526 1.3× 144 0.4× 124 0.4× 322 1.1× 178 0.7× 67 2.2k
Gabriella Roda 552 1.4× 298 0.8× 89 0.3× 211 0.7× 108 0.4× 111 1.4k
Laurent Rivier 520 1.3× 98 0.3× 190 0.5× 313 1.1× 134 0.5× 60 2.0k
Maria Nieddu 258 0.6× 241 0.6× 77 0.2× 254 0.9× 286 1.1× 77 1.3k
Mário Barroso 333 0.8× 111 0.3× 204 0.6× 829 2.9× 209 0.8× 115 2.2k
Waseem Gul 443 1.1× 386 1.0× 91 0.3× 456 1.6× 255 1.0× 89 2.4k
Michele Protti 448 1.1× 77 0.2× 194 0.6× 223 0.8× 90 0.4× 99 2.1k
Petur Weihe Dalsgaard 638 1.6× 283 0.7× 72 0.2× 693 2.5× 105 0.4× 56 1.7k
Rodney W. Snyder 399 1.0× 114 0.3× 460 1.3× 93 0.3× 311 1.2× 75 2.0k
Luı́sa M. Ferreira 312 0.8× 283 0.7× 94 0.3× 314 1.1× 245 1.0× 81 1.3k

Countries citing papers authored by Gianpiero Boatto

Since Specialization
Citations

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

Fields of papers citing papers by Gianpiero Boatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianpiero Boatto

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