Mauro Corsi

2.9k total citations
65 papers, 2.2k citations indexed

About

Mauro Corsi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Mauro Corsi has authored 65 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cellular and Molecular Neuroscience, 40 papers in Molecular Biology and 14 papers in Cognitive Neuroscience. Recurrent topics in Mauro Corsi's work include Neuroscience and Neuropharmacology Research (27 papers), Receptor Mechanisms and Signaling (27 papers) and Neuropeptides and Animal Physiology (16 papers). Mauro Corsi is often cited by papers focused on Neuroscience and Neuropharmacology Research (27 papers), Receptor Mechanisms and Signaling (27 papers) and Neuropeptides and Animal Physiology (16 papers). Mauro Corsi collaborates with scholars based in Italy, United Kingdom and United States. Mauro Corsi's co-authors include Corrado Corti, Francesco Ferraguti, Sergio Melotto, Renzo Carletti, Laura Caberlotto, Giuseppe Battaglia, Valeria Bruno, Shigetada Nakanishi, Manolo Mugnaini and Barbara Riozzi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Mauro Corsi

63 papers receiving 2.1k citations

Peers

Mauro Corsi
Dimitri De Bundel Belgium
Brian Lord United States
Estefanía Moreno Spain
Carmen Muñoz France
Maria Beatrice Passani Italy
Cam P. VanderMaelen United States
Samir Haj‐Dahmane United States
Sandi Jo Estill United States
Vincenzo Libri United Kingdom
James Heym United States
Dimitri De Bundel Belgium
Mauro Corsi
Citations per year, relative to Mauro Corsi Mauro Corsi (= 1×) peers Dimitri De Bundel

Countries citing papers authored by Mauro Corsi

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Corsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Corsi

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Corsi. A scholar is included among the top collaborators of Mauro Corsi 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 Mauro Corsi. Mauro Corsi 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.
Roberti, Marinella, Anna Maria Capelli, Matteo Biagetti, et al.. (2023). Application of an “inhalation by design” approach to the identification and in-vitro evaluation of novel purine based PI3Kδ inhibitors. European Journal of Medicinal Chemistry. 254. 115331–115331. 4 indexed citations
2.
Kina, Asato, Masataka Murakami, Kazuaki Takami, et al.. (2021). Discovery of Pyrazolo[1,5-a]pyrazin-4-ones as Potent and Brain Penetrant GluN2A-Selective Positive Allosteric Modulators Reducing AMPA Receptor Binding Activity. Bioorganic & Medicinal Chemistry. 56. 116576–116576. 6 indexed citations
3.
Chiamulera, Cristiano, Laura Padovani, & Mauro Corsi. (2017). Drug discovery for the treatment of substance use disorders: novel targets, repurposing, and the need for new paradigms. Current Opinion in Pharmacology. 35. 120–124. 11 indexed citations
4.
Corsi, Mauro, Adelheid Roth, Corrado Corti, et al.. (2014). Paradoxical response to the sedative effects of diazepam and alcohol in C57BL/6J mice lacking the neuropeptide S receptor. Peptides. 61. 107–113. 4 indexed citations
5.
Daducci, Alessandro, Stefano Tambalo, Silvia Fiorini, et al.. (2014). Manganese-enhanced magnetic resonance imaging investigation of the interferon-α model of depression in rats. Magnetic Resonance Imaging. 32(5). 529–534. 9 indexed citations
6.
Fabio, Romano Di, Giuseppe Alvaro, Simone Braggio, et al.. (2013). Identification, biological characterization and pharmacophoric analysis of a new potent and selective NK1 receptor antagonist clinical candidate. Bioorganic & Medicinal Chemistry. 21(21). 6264–6273. 19 indexed citations
7.
Ster, Jeanne, Corrado Corti, Mauro Corsi, et al.. (2013). Selective Silencing of Individual Dendritic Branches by an mGlu2-Activated Potassium Conductance in Dentate Gyrus Granule Cells. Journal of Neuroscience. 33(17). 7285–7298. 10 indexed citations
8.
Antolini, Marinella, et al.. (2012). Functional and binding kinetic studies make a distinction between OX1 and OX2 orexin receptor antagonists. European Journal of Pharmacology. 692(1-3). 1–9. 18 indexed citations
9.
Perreau‐Lenz, Stéphanie, Valentina Vengeliene, Hamid R. Noori, et al.. (2012). Inhibition of the Casein-Kinase-1-Epsilon/Delta Prevents Relapse-Like Alcohol Drinking. Neuropsychopharmacology. 37(9). 2121–2131. 49 indexed citations
10.
Costantini, Vivian J. A., Fabio Maria Sabbatini, Enzo Valerio, et al.. (2011). GSK1614343, a Novel Ghrelin Receptor Antagonist, Produces an Unexpected Increase of Food Intake and Body Weight in Rodents and Dogs. Neuroendocrinology. 94(2). 158–168. 47 indexed citations
11.
Battaglia, Giuseppe, Gemma Molinaro, Barbara Riozzi, et al.. (2009). Activation of mGlu3 Receptors Stimulates the Production of GDNF in Striatal Neurons. PLoS ONE. 4(8). e6591–e6591. 46 indexed citations
12.
Hetzenauer, Alfred, et al.. (2008). Individual contribution of metabotropic glutamate receptor (mGlu) 2 and 3 to c-Fos expression pattern evoked by mGlu2/3 antagonism. Psychopharmacology. 201(1). 1–13. 15 indexed citations
13.
Walker, David, Yong Yang, Emiliangelo Ratti, et al.. (2008). Differential Effects of the CRF-R1 Antagonist GSK876008 on Fear-Potentiated, Light- and CRF-Enhanced Startle Suggest Preferential Involvement in Sustained vs Phasic Threat Responses. Neuropsychopharmacology. 34(6). 1533–1542. 56 indexed citations
14.
Corti, Corrado, Giuseppe Battaglia, Gemma Molinaro, et al.. (2007). The Use of Knock-Out Mice Unravels Distinct Roles for mGlu2 and mGlu3 Metabotropic Glutamate Receptors in Mechanisms of Neurodegeneration/Neuroprotection. Journal of Neuroscience. 27(31). 8297–8308. 161 indexed citations
15.
Fabio, Romano Di, Giuseppe Alvaro, Barbara Bertani, et al.. (2006). Chiral tetrahydroquinoline derivatives as potent anti-hyperalgesic agents in animal models of sustained inflammation and chronic neuropathic pain. Bioorganic & Medicinal Chemistry Letters. 17(5). 1176–1180. 21 indexed citations
16.
Griffante, Cristiana, et al.. (2006). [3H]GR205171 displays similar NK1 receptor binding profile in gerbil and human brain. British Journal of Pharmacology. 148(1). 39–45. 28 indexed citations
17.
Corti, Corrado, John H. Xuereb, Mauro Corsi, & Francesco Ferraguti. (2001). Identification and Characterization of the Promoter Region of the GRM3 Gene. Biochemical and Biophysical Research Communications. 286(2). 381–387. 10 indexed citations
18.
Mugnaini, Manolo, et al.. (2000). Receptor binding characteristics of the novel NMDA receptor glycine site antagonist [3H]GV150526A in rat cerebral cortical membranes. European Journal of Pharmacology. 391(3). 233–241. 14 indexed citations
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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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