Luigi De Acetis

32 total papers · 595 total citations
24 papers, 467 citations indexed

About

Luigi De Acetis is a scholar working on Cellular and Molecular Neuroscience, Social Psychology and Behavioral Neuroscience. According to data from OpenAlex, Luigi De Acetis has authored 24 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Social Psychology and 6 papers in Behavioral Neuroscience. Recurrent topics in Luigi De Acetis's work include Neuroendocrine regulation and behavior (9 papers), Stress Responses and Cortisol (6 papers) and Neuropeptides and Animal Physiology (6 papers). Luigi De Acetis is often cited by papers focused on Neuroendocrine regulation and behavior (9 papers), Stress Responses and Cortisol (6 papers) and Neuropeptides and Animal Physiology (6 papers). Luigi De Acetis collaborates with scholars based in Italy and Netherlands. Luigi De Acetis's co-authors include Enrico Alleva, Francesca Cirulli, Giovanni Laviola, Giorgio Bignami, Luigi Aloe, Maria Livia Terranova, Daniele Della Seta, Flavia Chiarotti, Mauro Bianchi and Daniela Santucci and has published in prestigious journals such as Brain Research, Journal of Pharmacology and Experimental Therapeutics and Psychopharmacology.

In The Last Decade

Luigi De Acetis

23 papers receiving 450 citations

Author Peers

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

Author Last Decade Papers Cites
Luigi De Acetis 164 155 120 79 71 24 467
S. Segovia 112 0.7× 224 1.4× 165 1.4× 64 0.8× 52 0.7× 18 533
José L. Payá-Cano 112 0.7× 112 0.7× 104 0.9× 165 2.1× 66 0.9× 15 509
Christopher L. Robison 193 1.2× 132 0.9× 169 1.4× 66 0.8× 49 0.7× 19 472
Atsuhiko Chiba 103 0.6× 154 1.0× 105 0.9× 70 0.9× 33 0.5× 32 409
George Ellman 70 0.4× 62 0.4× 104 0.9× 62 0.8× 89 1.3× 21 476
Naoya Kitamura 170 1.0× 130 0.8× 88 0.7× 114 1.4× 72 1.0× 34 532
Azucena Valencia 105 0.6× 159 1.0× 92 0.8× 70 0.9× 34 0.5× 18 453
Polina A. Alekseeva 62 0.4× 71 0.5× 35 0.3× 89 1.1× 43 0.6× 17 436
Yongliang Pan 53 0.3× 179 1.2× 99 0.8× 76 1.0× 42 0.6× 28 454
Gabriel Roldán-Roldán 114 0.7× 96 0.6× 123 1.0× 84 1.1× 67 0.9× 31 448

Countries citing papers authored by Luigi De Acetis

Since Specialization
Citations

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

Fields of papers citing papers by Luigi De Acetis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luigi De Acetis. 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 Luigi De Acetis. The network helps show where Luigi De Acetis may publish in the future.

Co-authorship network of co-authors of Luigi De Acetis

This figure shows the co-authorship network connecting the top 25 collaborators of Luigi De Acetis. A scholar is included among the top collaborators of Luigi De Acetis 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 Luigi De Acetis. Luigi De Acetis 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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