Veronica Cartocci

466 total citations
8 papers, 359 citations indexed

About

Veronica Cartocci is a scholar working on Cognitive Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Veronica Cartocci has authored 8 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Veronica Cartocci's work include Autism Spectrum Disorder Research (5 papers), Cannabis and Cannabinoid Research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Veronica Cartocci is often cited by papers focused on Autism Spectrum Disorder Research (5 papers), Cannabis and Cannabinoid Research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Veronica Cartocci collaborates with scholars based in Italy, France and Sweden. Veronica Cartocci's co-authors include Valentina Pallottini, Viviana Trezza, Michela Servadio, Sara Schiavi, Patrizia Campolongo, Francesca Melancia, Maura Palmery, Paolo Ascenzi, Alessandra di Masi and Antonia Manduca and has published in prestigious journals such as Neuroscience, British Journal of Pharmacology and Cell Reports.

In The Last Decade

Veronica Cartocci

8 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Veronica Cartocci Italy	6	172	127	89	87	69	8	359
Andrew D. Benson United States	12	163 0.9×	143 1.1×	178 2.0×	28 0.3×	31 0.4×	17	420
Costantino Motzo Italy	12	82 0.5×	72 0.6×	114 1.3×	19 0.2×	32 0.5×	18	402
Laura Ajram United Kingdom	7	210 1.2×	103 0.8×	42 0.5×	155 1.8×	24 0.3×	10	397
Michael Lewis United States	11	36 0.2×	39 0.3×	147 1.7×	34 0.4×	37 0.5×	18	425
Ji‐Wei Tan United States	7	78 0.5×	42 0.3×	94 1.1×	33 0.4×	8 0.1×	9	345
Tara P. Cominski United States	10	63 0.4×	38 0.3×	118 1.3×	16 0.2×	20 0.3×	15	357
Meagan R. Pitcher United States	10	126 0.7×	168 1.3×	126 1.4×	60 0.7×	8 0.1×	12	407
János Hanics Hungary	11	33 0.2×	24 0.2×	103 1.2×	59 0.7×	38 0.6×	17	355
Asha Seth United Kingdom	11	125 0.7×	49 0.4×	152 1.7×	24 0.3×	76 1.1×	15	687
Dennis K Lee Canada	5	78 0.5×	82 0.6×	417 4.7×	230 2.6×	91 1.3×	7	837

Countries citing papers authored by Veronica Cartocci

Since Specialization

Citations

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

Fields of papers citing papers by Veronica Cartocci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica Cartocci

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

All Works

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8 of 8 papers shown

Cartocci, Veronica, Eugene V. Mosharov, Ján Kehr, et al.. (2024). Dysregulated acetylcholine-mediated dopamine neurotransmission in the eIF4E Tg mouse model of autism spectrum disorders. Cell Reports. 43(12). 114997–114997. 3 indexed citations

Cartocci, Veronica, Massimo Tempestilli, Marco Segatto, et al.. (2018). Altered Brain Cholesterol/Isoprenoid Metabolism in a Rat Model of Autism Spectrum Disorders. Neuroscience. 372. 27–37. 45 indexed citations

Melancia, Francesca, Sara Schiavi, Michela Servadio, et al.. (2018). Sex‐specific autistic endophenotypes induced by prenatal exposure to valproic acid involve anandamide signalling. British Journal of Pharmacology. 175(18). 3699–3712. 105 indexed citations

Cartocci, Veronica, et al.. (2018). Prenatal exposure to valproate induces sex‐, age‐, and tissue‐dependent alterations of cholesterol metabolism: Potential implications on autism. Journal of Cellular Physiology. 234(4). 4362–4374. 13 indexed citations

Cartocci, Veronica, Michela Servadio, Viviana Trezza, & Valentina Pallottini. (2016). Can Cholesterol Metabolism Modulation Affect Brain Function and Behavior?. Journal of Cellular Physiology. 232(2). 281–286. 56 indexed citations

Servadio, Michela, Francesca Melancia, Antonia Manduca, et al.. (2016). Targeting anandamide metabolism rescues core and associated autistic-like symptoms in rats prenatally exposed to valproic acid. Translational Psychiatry. 6(9). e902–e902. 109 indexed citations

Servadio, Michela, Francesca Melancia, Veronica Cartocci, Valentina Pallottini, & Viviana Trezza. (2016). Role of the endocannabinoid system in the altered social behavior observed in the rat valproic acid model of autism. European Neuropsychopharmacology. 26. S269–S270. 2 indexed citations

Cartocci, Veronica, et al.. (2016). Modulation of the Isoprenoid/Cholesterol Biosynthetic Pathway During Neuronal Differentiation In Vitro. Journal of Cellular Biochemistry. 117(9). 2036–2044. 26 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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