Elio Acquas

6.2k total citations · 1 hit paper
105 papers, 5.0k citations indexed

About

Elio Acquas is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Elio Acquas has authored 105 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cellular and Molecular Neuroscience, 30 papers in Molecular Biology and 22 papers in Cognitive Neuroscience. Recurrent topics in Elio Acquas's work include Neurotransmitter Receptor Influence on Behavior (63 papers), Neuroscience and Neuropharmacology Research (35 papers) and Receptor Mechanisms and Signaling (22 papers). Elio Acquas is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (63 papers), Neuroscience and Neuropharmacology Research (35 papers) and Receptor Mechanisms and Signaling (22 papers). Elio Acquas collaborates with scholars based in Italy, United States and Canada. Elio Acquas's co-authors include G. Di Chiara, Ezio Carboni, Cristina Cadoni, Valentina Bassareo, Paola Leone, Sandro Fenu, Daniele Lecca, Liliana Spina, Hans C. Fibiger and Valentina Valentini and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Elio Acquas

105 papers receiving 4.8k citations

Hit Papers

Dopamine and drug addiction: the nucleus accumbens shell ... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elio Acquas Italy 38 3.6k 1.7k 1.1k 883 471 105 5.0k
Patricia Robledo Spain 34 2.9k 0.8× 1.3k 0.8× 878 0.8× 984 1.1× 309 0.7× 98 4.1k
Marco Diana Italy 41 3.4k 1.0× 1.4k 0.8× 1.2k 1.1× 1.0k 1.1× 469 1.0× 121 4.9k
Steven R. Laviolette Canada 42 3.0k 0.8× 1.5k 0.9× 1.1k 1.0× 1.8k 2.0× 515 1.1× 102 4.8k
Charles W. Schindler United States 33 3.0k 0.8× 1.4k 0.8× 761 0.7× 642 0.7× 263 0.6× 150 4.1k
Wouter Koek United States 42 4.2k 1.2× 2.3k 1.3× 746 0.7× 774 0.9× 876 1.9× 211 6.0k
Sergio Tanganelli Italy 44 3.5k 1.0× 2.4k 1.4× 968 0.9× 1.0k 1.1× 359 0.8× 136 5.3k
Ezio Carboni Italy 38 4.3k 1.2× 2.4k 1.4× 1.1k 1.0× 638 0.7× 567 1.2× 82 5.9k
Charles P. France United States 35 3.2k 0.9× 1.3k 0.7× 513 0.5× 710 0.8× 807 1.7× 253 4.4k
Jack Bergman United States 35 2.9k 0.8× 1.7k 1.0× 578 0.5× 770 0.9× 325 0.7× 163 3.7k
Micaela Morelli Italy 50 5.7k 1.6× 3.0k 1.8× 812 0.7× 808 0.9× 664 1.4× 236 9.6k

Countries citing papers authored by Elio Acquas

Since Specialization
Citations

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

Fields of papers citing papers by Elio Acquas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elio Acquas

This figure shows the co-authorship network connecting the top 25 collaborators of Elio Acquas. A scholar is included among the top collaborators of Elio Acquas 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 Elio Acquas. Elio Acquas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Biggio, Francesca, Giuseppe Talani, Valentina Bassareo, et al.. (2024). Mixing energy drinks and alcohol during adolescence impairs brain function: A study of rat hippocampal plasticity. Neuropharmacology. 254. 109993–109993. 2 indexed citations
2.
Bassareo, Valentina, Giuseppe Talani, Simone Zuffa, et al.. (2024). Receptor and metabolic insights on the ability of caffeine to prevent alcohol-induced stimulation of mesolimbic dopamine transmission. Translational Psychiatry. 14(1). 391–391. 3 indexed citations
4.
Rocchitta, Gaia, Alessandra T. Peana, Gianfranco Bazzu, et al.. (2019). Simultaneous wireless and high-resolution detection of nucleus accumbens shell ethanol concentrations and free motion of rats upon voluntary ethanol intake. Alcohol. 78. 69–78. 3 indexed citations
5.
Marotta, Roberto, Giuseppe Talani, Tiziano Catelani, et al.. (2017). Differential effects of phytotherapic preparations in the hSOD1 Drosophila melanogaster model of ALS. Scientific Reports. 7(1). 41059–41059. 19 indexed citations
6.
Peana, Alessandra T., Federico Bennardini, Gaia Rocchitta, et al.. (2017). Is catalase involved in the effects of systemic and pVTA administration of 4-methylpyrazole on ethanol self-administration?. Alcohol. 63. 61–73. 7 indexed citations
7.
Marotta, Roberto, Sandro Fenu, Simona Scheggi, et al.. (2014). Acquisition and expression of conditioned taste aversion differentially affects extracellular signal regulated kinase and glutamate receptor phosphorylation in rat prefrontal cortex and nucleus accumbens. Frontiers in Behavioral Neuroscience. 8. 153–153. 19 indexed citations
9.
Spiga, Saturnino, et al.. (2009). Ethanol‐Induced Extracellular Signal Regulated Kinase: Role of Dopamine D1 Receptors. Alcoholism Clinical and Experimental Research. 33(5). 858–867. 46 indexed citations
10.
Pisanu, Augusta, Elio Acquas, Sandro Fenu, & G. Di Chiara. (2006). Modulation of Δ9-THC-induced increase of cortical and hippocampal acetylcholine release by μ opioid and D1 dopamine receptors. Neuropharmacology. 50(6). 661–670. 32 indexed citations
11.
Cadoni, Cristina, Marcello Solinas, Augusta Pisanu, et al.. (2005). Effect of 3,4-methylendioxymethamphetamine (MDMA, “ecstasy”) on dopamine transmission in the nucleus accumbens shell and core. Brain Research. 1055(1-2). 143–148. 38 indexed citations
12.
Chiara, G. Di, Valentina Bassareo, Sandro Fenu, et al.. (2004). Dopamine and drug addiction: the nucleus accumbens shell connection. Neuropharmacology. 47. 227–241. 693 indexed citations breakdown →
13.
Acquas, Elio, et al.. (2001). Δ9-tetrahydrocannabinol enhances cortical and hippocampal acetylcholine release in vivo: a microdialysis study. European Journal of Pharmacology. 419(2-3). 155–161. 50 indexed citations
14.
Acquas, Elio, et al.. (1999). A within-subjects microdialysis/behavioural study of the role of striatal acetylcholine in D1-dependent turning. Behavioural Brain Research. 103(2). 219–228. 4 indexed citations
16.
Acquas, Elio & H.C. Fibiger. (1996). Chronic lithium attenuates dopamine D1-receptor mediated increases in acetylcholine release in rat frontal cortex. Psychopharmacology. 125(2). 162–167. 29 indexed citations
17.
Acquas, Elio, et al.. (1993). Blockade of δ-opioid receptors in the nucleus accumbens prevents ethanol-induced stimulation of dopamine release. European Journal of Pharmacology. 230(2). 239–241. 113 indexed citations
18.
Acquas, Elio, et al.. (1992). Depression of Mesolimbic Dopamine Transmission and Sensitization to Morphine During Opiate Abstinence. Journal of Neurochemistry. 58(5). 1620–1625. 199 indexed citations
20.
Acquas, Elio, Ezio Carboni, Paola Leone, & G. Di Chiara. (1989). SCH 23390 blocks drug-conditioned place-preference and place-aversion: anhedonia (lack of reward) or apathy (lack of motivation) after dopamine-receptor blockade?. Psychopharmacology. 99(2). 151–155. 176 indexed citations

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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