Rita Masellis

867 total citations
28 papers, 497 citations indexed

About

Rita Masellis is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rita Masellis has authored 28 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rita Masellis's work include Functional Brain Connectivity Studies (8 papers), Tryptophan and brain disorders (4 papers) and Receptor Mechanisms and Signaling (4 papers). Rita Masellis is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Tryptophan and brain disorders (4 papers) and Receptor Mechanisms and Signaling (4 papers). Rita Masellis collaborates with scholars based in Italy, United States and Switzerland. Rita Masellis's co-authors include Alessandro Bertolino, Giuseppe Blasi, Leonardo Fazio, Paolo Taurisano, Antonio Rampino, Gianluca Ursini, Raffaella Romano, Teresa Popolizio, Barbara Gelao and Grazia Caforio and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rita Masellis

25 papers receiving 485 citations

Peers

Rita Masellis
Jianguo Shi China
Naga Venkatesha Murthy United States
Tarik Dahoun United Kingdom
Caitlin E. Carey United States
Matthew T. Avila United States
Shilpa K Gandhi United States
Xiongying Chen China
Vadim D. Khait United States
Tomoyuki Saijo Japan
C. Stephenson United Kingdom
Jianguo Shi China
Rita Masellis
Citations per year, relative to Rita Masellis Rita Masellis (= 1×) peers Jianguo Shi

Countries citing papers authored by Rita Masellis

Since Specialization
Citations

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

Fields of papers citing papers by Rita Masellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Masellis

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Masellis. A scholar is included among the top collaborators of Rita Masellis 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 Rita Masellis. Rita Masellis 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
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Rampino, Antonio, Tommaso Nuzzo, Maria Favia, et al.. (2024). Variations of blood D-serine and D-aspartate homeostasis track psychosis stages. SHILAP Revista de lepidopterología. 10(1). 115–115. 7 indexed citations
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Rampino, Antonio, Silvia Torretta, Barbara Gelao, et al.. (2021). Evidence of an interaction between FXR1 and GSK3β polymorphisms on levels of Negative Symptoms of Schizophrenia and their response to antipsychotics. European Psychiatry. 64(1). e39–e39. 6 indexed citations
5.
Rampino, Antonio, Silvia Torretta, Tiziana Quarto, et al.. (2019). Emotional Stability Interacts with Cortisol Levels Before fMRI on Brain Processing of Fearful Faces. Neuroscience. 416. 190–197. 5 indexed citations
6.
Torretta, Silvia, Antonio Rampino, Manuela Basso, et al.. (2019). NURR1 and ERR1 Modulate the Expression of Genes of aDRD2Coexpression Network Enriched for Schizophrenia Risk. Journal of Neuroscience. 40(4). 932–941. 21 indexed citations
7.
Bianco, Luciana Lo, Silvia Torretta, Rita Masellis, et al.. (2017). Genetic variation is associated with RTN4R expression and working memory processing in healthy humans. Brain Research Bulletin. 134. 162–167. 3 indexed citations
8.
Rampino, Antonio, Paolo Taurisano, Giuseppe Fanelli, et al.. (2017). A Polygenic Risk Score of glutamatergic SNPs associated with schizophrenia predicts attentional behavior and related brain activity in healthy humans. European Neuropsychopharmacology. 27(9). 928–939. 13 indexed citations
9.
Quarto, Tiziana, Leonardo Fazio, Paolo Taurisano, et al.. (2017). Familial Risk and a Genome-Wide Supported DRD2 Variant for Schizophrenia Predict Lateral Prefrontal-Amygdala Effective Connectivity During Emotion Processing. Schizophrenia Bulletin. 44(4). 834–843. 13 indexed citations
10.
Taurisano, Paolo, Linda A. Antonucci, Leonardo Fazio, et al.. (2016). Prefrontal activity during working memory is modulated by the interaction of variation in CB1 and COX2 coding genes and correlates with frequency of cannabis use. Cortex. 81. 231–238. 24 indexed citations
11.
Quarto, Tiziana, Paolo Taurisano, Leonardo Fazio, et al.. (2016). Interaction between DRD2 variation and sound environment on mood and emotion-related brain activity. Neuroscience. 341. 9–17. 7 indexed citations
12.
Blasi, Giuseppe, Pierluigi Selvaggi, Leonardo Fazio, et al.. (2015). Variation in Dopamine D2 and Serotonin 5-HT2A Receptor Genes is Associated with Working Memory Processing and Response to Treatment with Antipsychotics. Neuropsychopharmacology. 40(7). 1600–1608. 49 indexed citations
13.
Colizzi, Marco, Conrad Iyegbe, John Powell, et al.. (2015). Interaction Between Functional Genetic Variation of DRD2 and Cannabis Use on Risk of Psychosis. Schizophrenia Bulletin. 41(5). 1171–1182. 57 indexed citations
14.
Colizzi, Marco, Leonardo Fazio, Laura Ferranti, et al.. (2014). Functional Genetic Variation of the Cannabinoid Receptor 1 and Cannabis Use Interact on Prefrontal Connectivity and Related Working Memory Behavior. Neuropsychopharmacology. 40(3). 640–649. 39 indexed citations
15.
Gelao, Barbara, Leonardo Fazio, Pierluigi Selvaggi, et al.. (2014). DRD2 genotype predicts prefrontal activity during working memory after stimulation of D2 receptors with bromocriptine. Psychopharmacology. 231(11). 2361–2370. 14 indexed citations
16.
Taurisano, Paolo, Raffaella Romano, Marina Mancini, et al.. (2014). Prefronto-striatal physiology is associated with schizotypy and is modulated by a functional variant of DRD2. Frontiers in Behavioral Neuroscience. 8. 235–235. 22 indexed citations
17.
Rampino, Antonio, Rosie M. Walker, Susan M. Anderson, et al.. (2014). Expression of DISC1-Interactome Members Correlates with Cognitive Phenotypes Related to Schizophrenia. PLoS ONE. 9(6). e99892–e99892. 20 indexed citations
18.
Sambataro, Fabio, Leonardo Fazio, Paolo Taurisano, et al.. (2011). DRD2 Genotype-Based Variation of Default Mode Network Activity and of Its Relationship With Striatal DAT Binding. Schizophrenia Bulletin. 39(1). 206–216. 47 indexed citations
19.
Blasi, Giuseppe, Luciana Lo Bianco, Paolo Taurisano, et al.. (2009). Functional Variation of the Dopamine D2Receptor Gene Is Associated with Emotional Control as well as Brain Activity and Connectivity during Emotion Processing in Humans. Journal of Neuroscience. 29(47). 14812–14819. 86 indexed citations
20.
Giacomo, Piero De, et al.. (2006). Un metodo di "counseling online" basato sul Modello Pragmatico Elementare. 1 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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