Chiara Mariottini

832 total citations
16 papers, 381 citations indexed

About

Chiara Mariottini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Immunology. According to data from OpenAlex, Chiara Mariottini has authored 16 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 5 papers in Immunology. Recurrent topics in Chiara Mariottini's work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (5 papers) and Mast cells and histamine (3 papers). Chiara Mariottini is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (5 papers) and Mast cells and histamine (3 papers). Chiara Mariottini collaborates with scholars based in Italy, United States and Netherlands. Chiara Mariottini's co-authors include Maria Beatrice Passani, Patrizio Blandina, Corrado Bucherelli, Elisabetta Baldi, Gerold Bongers, Rob Leurs, Massimo Zerani, Danilo Zampini, Cecilia Dall’Aglio and Margherita Maranesi and has published in prestigious journals such as Nature Communications, Endocrinology and Journal of Neurochemistry.

In The Last Decade

Chiara Mariottini

15 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Mariottini Italy 10 132 124 117 95 74 16 381
Jenni Kononoff United States 12 152 1.2× 195 1.6× 90 0.8× 54 0.6× 45 0.6× 13 347
Shunit Gal-Ben-Ari Israel 8 325 2.5× 232 1.9× 70 0.6× 87 0.9× 32 0.4× 9 611
Tomotaka Murotani Japan 9 132 1.0× 119 1.0× 69 0.6× 104 1.1× 24 0.3× 12 369
Kazuhito Ikeda Japan 14 242 1.8× 219 1.8× 29 0.2× 77 0.8× 59 0.8× 31 627
Jéssica Rosa Brazil 8 74 0.6× 142 1.1× 31 0.3× 121 1.3× 62 0.8× 18 311
Joshua Ortiz‐Guzman United States 10 120 0.9× 103 0.8× 49 0.4× 69 0.7× 8 0.1× 18 386
Kyle A. Lyman United States 12 145 1.1× 176 1.4× 56 0.5× 38 0.4× 22 0.3× 26 444
Eva Tsaousidou Germany 8 116 0.9× 92 0.7× 69 0.6× 65 0.7× 14 0.2× 9 662
Ravit Madar Israel 12 133 1.0× 141 1.1× 69 0.6× 78 0.8× 17 0.2× 22 519
Junran Cao United States 15 218 1.7× 184 1.5× 28 0.2× 62 0.7× 14 0.2× 19 477

Countries citing papers authored by Chiara Mariottini

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Mariottini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Mariottini

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

All Works

16 of 16 papers shown
1.
Bliss, Carly M., Raffael Nachbagauer, Chiara Mariottini, et al.. (2024). A chimeric haemagglutinin-based universal influenza virus vaccine boosts human cellular immune responses directed towards the conserved haemagglutinin stalk domain and the viral nucleoprotein. EBioMedicine. 104. 105153–105153. 8 indexed citations
2.
Munari, Leonardo, et al.. (2023). Memory discrimination is promoted by the expression of the transcription repressor WT1 in the dentate gyrus. Frontiers in Behavioral Neuroscience. 17. 1130840–1130840.
3.
Aydillo, Teresa, Ana S. Gonzalez‐Reiche, Daniel Stadlbauer, et al.. (2022). Transcriptome signatures preceding the induction of anti-stalk antibodies elicited after universal influenza vaccination. npj Vaccines. 7(1). 160–160. 4 indexed citations
4.
Mariottini, Chiara, Leonardo Munari, Nikos Tzavaras, et al.. (2019). Wilm’s tumor 1 promotes memory flexibility. Nature Communications. 10(1). 3756–3756. 18 indexed citations
5.
Tavassoly, Iman, Yuan Hu, Shan Zhao, et al.. (2019). Genomic signatures defining responsiveness to allopurinol and combination therapy for lung cancer identified by systems therapeutics analyses. Molecular Oncology. 13(8). 1725–1743. 24 indexed citations
6.
Blandina, Patrizio, Leonardo Munari, Patrizia Giannoni, Chiara Mariottini, & Maria Beatrice Passani. (2010). Histamine neuronal system as a therapeutic target for the treatment of cognitive disorders. Future Neurology. 5(4). 543–555. 8 indexed citations
7.
Mariottini, Chiara, Tania Scartabelli, Gerold Bongers, et al.. (2009). Activation of the histaminergic H3receptor induces phosphorylation of the Akt/GSK‐3β pathway in cultured cortical neurons and protects against neurotoxic insults. Journal of Neurochemistry. 110(5). 1469–1478. 39 indexed citations
8.
Giannini, Lucia, Silvia Nistri, Rosanna Mastroianni, et al.. (2008). Activation of cannabinoid receptors prevents antigen‐induced asthma‐like reaction in guinea pigs. Journal of Cellular and Molecular Medicine. 12(6a). 2381–2394. 39 indexed citations
9.
Baldi, Elisabetta, Chiara Mariottini, & Corrado Bucherelli. (2008). Differential roles of the basolateral amygdala and nucleus basalis magnocellularis during post-reactivation contextual fear conditioning reconsolidation in rats. Neurobiology of Learning and Memory. 90(4). 604–609. 14 indexed citations
10.
Baldi, Elisabetta, Chiara Mariottini, & Corrado Bucherelli. (2007). The role of the nucleus basalis magnocellularis in fear conditioning consolidation in the rat. Learning & Memory. 14(12). 855–860. 9 indexed citations
11.
Giannini, Lucia, Rosanna Mastroianni, Chiara Mariottini, et al.. (2007). Activation of cannabinoid receptors reduces allergen-induced oxidative stress damage during asthma-like reaction in sensitised guinea-pigs. Inflammation Research. 56(S1). S11–S12. 2 indexed citations
12.
Bongers, Gerold, Tina Sallmén, Maria Beatrice Passani, et al.. (2007). The Akt/GSK‐3β axis as a new signaling pathway of the histamine H3receptor. Journal of Neurochemistry. 103(1). 248–258. 58 indexed citations
13.
Baldi, Elisabetta, Chiara Mariottini, & Corrado Bucherelli. (2006). Substantia nigra role in fear conditioning consolidation. Neurobiology of Learning and Memory. 87(1). 133–139. 10 indexed citations
14.
Bucherelli, Corrado, Elisabetta Baldi, Chiara Mariottini, Maria Beatrice Passani, & Patrizio Blandina. (2006). Aversive memory reactivation engages in the amygdala only some neurotransmitters involved in consolidation. Learning & Memory. 13(4). 426–430. 86 indexed citations
15.
Boiti, Cristiano, Gabriella Guelfi, Gabriele Brecchia, et al.. (2005). Role of the Endothelin-1 System in the Luteolytic Process of Pseudopregnant Rabbits. Endocrinology. 146(3). 1293–1300. 34 indexed citations
16.
Zerani, Massimo, Cecilia Dall’Aglio, Luisa Pascucci, et al.. (2005). Leptin receptor expression and in vitro leptin actions on prostaglandin release and nitric oxide synthase activity in the rabbit oviduct. Journal of Endocrinology. 185(2). 319–325. 28 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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