Francesca Cerbai

538 total citations
8 papers, 448 citations indexed

About

Francesca Cerbai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Francesca Cerbai has authored 8 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Pharmacology. Recurrent topics in Francesca Cerbai's work include Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Alzheimer's disease research and treatments (2 papers). Francesca Cerbai is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Alzheimer's disease research and treatments (2 papers). Francesca Cerbai collaborates with scholars based in Italy, United States and Switzerland. Francesca Cerbai's co-authors include Maria Grazia Giovannini, Holly M. Brothers, Daniele Nosi, Daniele Lana, Polina Petkova‐Kirova, Sandra Zecchi, Gary L. Wenk, Yannick Marchalant, Giancarlo Pepeu and Albert Enz and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Neuroscience.

In The Last Decade

Francesca Cerbai

8 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesca Cerbai Italy	8	183	162	121	113	111	8	448
Roberta Facchinetti Italy	13	125 0.7×	117 0.7×	127 1.0×	158 1.4×	103 0.9×	15	481
Luca Caracciolo Italy	9	241 1.3×	196 1.2×	90 0.7×	195 1.7×	213 1.9×	10	608
Ivica Granic Netherlands	9	130 0.7×	126 0.8×	89 0.7×	194 1.7×	174 1.6×	12	496
De-Liang Lei China	8	257 1.4×	162 1.0×	49 0.4×	226 2.0×	116 1.0×	9	593
Cristiane Batassini Brazil	13	95 0.5×	112 0.7×	52 0.4×	145 1.3×	126 1.1×	17	477
Wang Jun China	7	152 0.8×	154 1.0×	103 0.9×	241 2.1×	100 0.9×	10	484
Lígia Mendes Soares Brazil	9	157 0.9×	114 0.7×	190 1.6×	47 0.4×	115 1.0×	13	447
Yannick Marchalant United States	12	135 0.7×	280 1.7×	300 2.5×	256 2.3×	135 1.2×	17	750
Carlos Pomilio Argentina	11	263 1.4×	124 0.8×	57 0.5×	348 3.1×	153 1.4×	21	700
Hideo Yagi Japan	8	193 1.1×	152 0.9×	44 0.4×	257 2.3×	222 2.0×	15	645

Countries citing papers authored by Francesca Cerbai

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Cerbai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Cerbai

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Cerbai. A scholar is included among the top collaborators of Francesca Cerbai 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 Francesca Cerbai. Francesca Cerbai 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

Mercatelli, Raffaella, Daniele Lana, Monica Bucciantini, et al.. (2015). Clasmatodendrosis and β‐amyloidosis in aging hippocampus. The FASEB Journal. 30(4). 1480–1491. 17 indexed citations

Lana, Daniele, Francesca Cerbai, Jacopo Di Russo, et al.. (2013). Hippocampal long term memory: Effect of the cholinergic system on local protein synthesis. Neurobiology of Learning and Memory. 106. 246–257. 25 indexed citations

Cerbai, Francesca, Daniele Lana, Daniele Nosi, et al.. (2012). The Neuron-Astrocyte-Microglia Triad in Normal Brain Ageing and in a Model of Neuroinflammation in the Rat Hippocampus. PLoS ONE. 7(9). e45250–e45250. 209 indexed citations

Traini, Chiara, Felicita Pedata, Sara Cipriani, et al.. (2011). P2 receptor antagonists prevent synaptic failure and extracellular signal‐regulated kinase1/2 activation induced by oxygen and glucose deprivation in rat CA1 hippocampusin vitro. European Journal of Neuroscience. 33(12). 2203–2215. 20 indexed citations

Giovannini, Maria Grazia, Francesca Cerbai, Arianna Bellucci, et al.. (2008). Differential activation of mitogen-activated protein kinase signalling pathways in the hippocampus of CRND8 transgenic mouse, a model of Alzheimer's disease. Neuroscience. 153(3). 618–633. 31 indexed citations

Cerbai, Francesca, et al.. (2007). N1phenethyl-norcymserine, a selective butyrylcholinesterase inhibitor, increases acetylcholine release in rat cerebral cortex: A comparison with donepezil and rivastigmine. European Journal of Pharmacology. 572(2-3). 142–150. 48 indexed citations

Marchalant, Yannick, Francesca Cerbai, Holly M. Brothers, & Gary L. Wenk. (2007). Cannabinoid receptor stimulation is anti-inflammatory and improves memory in old rats. Neurobiology of Aging. 29(12). 1894–1901. 74 indexed citations

Giovannini, M., Marta Pazzagli, P. Malmberg‐Aiello, et al.. (2005). Inhibition of acetylcholine-induced activation of extracellular regulated protein kinase prevents the encoding of an inhibitory avoidance response in the rat. Neuroscience. 136(1). 15–32. 24 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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