Chiara Mangano

519 total citations
17 papers, 426 citations indexed

About

Chiara Mangano is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Chiara Mangano has authored 17 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Chiara Mangano's work include Alzheimer's disease research and treatments (3 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Down syndrome and intellectual disability research (2 papers). Chiara Mangano is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Down syndrome and intellectual disability research (2 papers). Chiara Mangano collaborates with scholars based in Italy, Sweden and Germany. Chiara Mangano's co-authors include Laura Calzà, Fiorenza Stagni, Renata Bartesaghi, Alessandro Giuliani, Sandra Guidi, Elisabetta Ciani, Luciana Giardino, Vito Antonio Baldassarro, Björn Meister and Gustav Colldén and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Chiara Mangano

17 papers receiving 420 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 Mangano Italy 13 154 91 88 70 60 17 426
Selene Lomoio United States 11 152 1.0× 164 1.8× 31 0.4× 32 0.5× 89 1.5× 17 349
Susana Masiá Spain 4 343 2.2× 68 0.7× 55 0.6× 18 0.3× 101 1.7× 5 486
Chenyi Yang China 14 280 1.8× 49 0.5× 23 0.3× 23 0.3× 68 1.1× 44 647
Fenghui Pan China 11 457 3.0× 53 0.6× 58 0.7× 13 0.2× 134 2.2× 18 698
Courtney Ackeifi United States 7 281 1.8× 35 0.4× 163 1.9× 23 0.3× 56 0.9× 9 534
Julia Maeve Bonner Canada 11 345 2.2× 235 2.6× 30 0.3× 19 0.3× 86 1.4× 13 701
Ulrika Björklund Sweden 17 292 1.9× 82 0.9× 28 0.3× 13 0.2× 155 2.6× 26 667
Geula Hanin Israel 13 438 2.8× 102 1.1× 46 0.5× 17 0.2× 77 1.3× 24 664
Moulinath Acharya India 14 387 2.5× 56 0.6× 88 1.0× 17 0.2× 95 1.6× 37 773
M. Garrido Spain 12 264 1.7× 144 1.6× 50 0.6× 11 0.2× 151 2.5× 22 640

Countries citing papers authored by Chiara Mangano

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Mangano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Mangano

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

All Works

17 of 17 papers shown
1.
Mangano, Chiara, Alberto Ferrarini, Claudio Forcato, et al.. (2019). Precise detection of genomic imbalances at single-cell resolution reveals intra-patient heterogeneity in Hodgkin’s lymphoma. Blood Cancer Journal. 9(12). 92–92. 10 indexed citations
2.
Bolognesi, Chiara, Claudio Forcato, Genny Buson, et al.. (2016). Digital Sorting of Pure Cell Populations Enables Unambiguous Genetic Analysis of Heterogeneous Formalin-Fixed Paraffin-Embedded Tumors by Next Generation Sequencing. Scientific Reports. 6(1). 20944–20944. 34 indexed citations
3.
Baldassarro, Vito Antonio, Luisa Stella Dolci, Chiara Mangano, et al.. (2016). In Vitro Testing of Biomaterials for Neural Repair: Focus on Cellular Systems and High-Content Analysis. BioResearch open access. 5(1). 201–211. 8 indexed citations
4.
Sivilia, Sandra, Chiara Mangano, Sarah Beggiato, et al.. (2016). CDKL5 knockout leads to altered inhibitory transmission in the cerebellum of adult mice. Genes Brain & Behavior. 15(5). 491–502. 33 indexed citations
5.
Bernardini, Chiara, Augusta Zannoni, Franca Bianchi, et al.. (2015). In vitro differentiation of porcine aortic vascular precursor cells to endothelial and vascular smooth muscle cells. American Journal of Physiology-Cell Physiology. 309(5). C320–C331. 19 indexed citations
6.
Sivilia, Sandra, Luca Lorenzini, Alessandro Giuliani, et al.. (2013). Multi-target action of the novel anti-Alzheimer compound CHF5074: in vivo study of long term treatment in Tg2576 mice. BMC Neuroscience. 14(1). 44–44. 54 indexed citations
7.
Stagni, Fiorenza, Jacopo Magistretti, Sandra Guidi, et al.. (2013). Pharmacotherapy with Fluoxetine Restores Functional Connectivity from the Dentate Gyrus to Field CA3 in the Ts65Dn Mouse Model of Down Syndrome. PLoS ONE. 8(4). e61689–e61689. 43 indexed citations
8.
Pori, Matteo, Paola Galletti, Roberto Soldati, et al.. (2013). Azetidinone–retinoid hybrids: Synthesis and differentiative effects. European Journal of Medicinal Chemistry. 70. 857–863. 8 indexed citations
9.
Calzà, Laura, Vito Antonio Baldassarro, Alessandro Giuliani, et al.. (2013). From the Multifactorial Nature of Alzheimer`s Disease to Multitarget Therapy: The Contribution of the Translational Approach. Current Topics in Medicinal Chemistry. 13(15). 1843–1852. 13 indexed citations
10.
11.
Bernardini, Chiara, Chiara Mangano, Augusta Zannoni, et al.. (2013). Cells derived from porcine aorta tunica media show mesenchymal stromal-like cell properties in in vitro culture. American Journal of Physiology-Cell Physiology. 306(4). C322–C333. 22 indexed citations
12.
Guidi, Sandra, Fiorenza Stagni, Patrizia Bianchi, et al.. (2012). Early Pharmacotherapy with Fluoxetine Rescues Dendritic Pathology in the Ts65Dn Mouse Model of Down Syndrome. Brain Pathology. 23(2). 129–143. 60 indexed citations
13.
Giuliani, Alessandro, Sarah Beggiato, Vito Antonio Baldassarro, et al.. (2012). CHF5074 restores visual memory ability and pre‐synaptic cortical acetylcholine release in pre‐plaque Tg2576 mice. Journal of Neurochemistry. 124(5). 613–620. 16 indexed citations
14.
Mangano, Chiara, Gustav Colldén, & Björn Meister. (2011). Chemical phenotypes of P2X2 purinoreceptor immunoreactive cell bodies in the area postrema. Purinergic Signalling. 8(2). 223–234. 2 indexed citations
15.
Colldén, Gustav, Chiara Mangano, & Björn Meister. (2010). P2X2 purinoreceptor protein in hypothalamic neurons associated with the regulation of food intake. Neuroscience. 171(1). 62–78. 28 indexed citations
16.
Bolognesi, María Laura, Natalia Calonghi, Chiara Mangano, Lanfranco Masotti, & Carlo Melchiorre. (2008). Parallel Synthesis and Cytotoxicity Evaluation of a Polyamine−Quinone Conjugates Library. Journal of Medicinal Chemistry. 51(17). 5463–5467. 32 indexed citations
17.
Calonghi, Natalia, Eleonora Pagnotta, Carola Parolin, et al.. (2007). A new EGFR inhibitor induces apoptosis in colon cancer cells. Biochemical and Biophysical Research Communications. 354(2). 409–413. 21 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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