Marta Valenza

6.9k total citations · 3 hit papers
38 papers, 5.2k citations indexed

About

Marta Valenza is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Marta Valenza has authored 38 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cellular and Molecular Neuroscience, 29 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Marta Valenza's work include Genetic Neurodegenerative Diseases (33 papers), Mitochondrial Function and Pathology (19 papers) and Neuroscience and Neuropharmacology Research (13 papers). Marta Valenza is often cited by papers focused on Genetic Neurodegenerative Diseases (33 papers), Mitochondrial Function and Pathology (19 papers) and Neuroscience and Neuropharmacology Research (13 papers). Marta Valenza collaborates with scholars based in Italy, United States and Germany. Marta Valenza's co-authors include Elena Cattaneo, Chiara Zuccato, Giancarlo Parenti, Diego L. Medina, Francesca Donaudy, Roman Polishchuk, Andrea Ballabio, Alberto di Ronza, Marco Sardiello and Vincenzo A. Gennarino and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Marta Valenza

36 papers receiving 5.1k citations

Hit Papers

A Gene Network Regulating Lysosomal Biogenesis and Function 2003 2026 2010 2018 2009 2003 2010 500 1000 1.5k

Peers

Marta Valenza
Zdenek Berger United States
Qian Cai United States
Sara Imarisio United Kingdom
Miratul M. K. Muqit United Kingdom
Marie W. Wooten United States
Lih‐Shen Chin United States
Michal Hetman United States
Marta Valenza
Citations per year, relative to Marta Valenza Marta Valenza (= 1×) peers Ronit Pinkas‐Kramarski

Countries citing papers authored by Marta Valenza

Since Specialization
Citations

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

Fields of papers citing papers by Marta Valenza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Valenza

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Valenza. A scholar is included among the top collaborators of Marta Valenza 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 Marta Valenza. Marta Valenza 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
1.
Valenza, Marta, et al.. (2023). The translational potential of cholesterol-based therapies for neurological disease. Nature Reviews Neurology. 19(10). 583–598. 22 indexed citations
2.
Valenza, Marta, Ilaria Ottonelli, Alice Passoni, et al.. (2021). Insights into kinetics, release, and behavioral effects of brain-targeted hybrid nanoparticles for cholesterol delivery in Huntington's disease. Journal of Controlled Release. 330. 587–598. 40 indexed citations
3.
Shankaran, Mahalakshmi, Valerio Leoni, Claudio Caccia, et al.. (2016). Early and brain region-specific decrease of de novo cholesterol biosynthesis in Huntington's disease: A cross-validation study in Q175 knock-in mice. Neurobiology of Disease. 98. 66–76. 37 indexed citations
4.
Valenza, Marta, Jane Chen, Barbara Ruozi, et al.. (2015). Cholesterol‐loaded nanoparticles ameliorate synaptic and cognitive function in H untington's disease mice. EMBO Molecular Medicine. 7(12). 1547–1564. 81 indexed citations
5.
Conforti, Paola, Stefano Camnasio, Marta Valenza, et al.. (2012). Lack of huntingtin promotes neural stem cells differentiation into glial cells while neurons expressing huntingtin with expanded polyglutamine tracts undergo cell death. Neurobiology of Disease. 50. 160–170. 30 indexed citations
6.
Sardo, Valentina Lo, Chiara Zuccato, Germano Gaudenzi, et al.. (2012). An evolutionary recent neuroepithelial cell adhesion function of huntingtin implicates ADAM10-Ncadherin. Nature Neuroscience. 15(5). 713–721. 87 indexed citations
7.
Zhang, Xiang, Marta Valenza, Lei Cui, et al.. (2011). Peroxisome-Proliferator-Activated Receptor Gamma Coactivator 1   Contributes to Dysmyelination in Experimental Models of Huntington's Disease. Journal of Neuroscience. 31(26). 9544–9553. 110 indexed citations
8.
Leoni, Valerio, Caterina Mariotti, Lorenzo Nanetti, et al.. (2011). Whole body cholesterol metabolism is impaired in Huntington's disease. Neuroscience Letters. 494(3). 245–249. 74 indexed citations
9.
Valenza, Marta & Elena Cattaneo. (2011). Emerging roles for cholesterol in Huntington's disease. Trends in Neurosciences. 34(9). 474–486. 93 indexed citations
10.
Sardiello, Marco, Michela Palmieri, Alberto di Ronza, et al.. (2009). A Gene Network Regulating Lysosomal Biogenesis and Function. Science. 325(5939). 473–477. 1885 indexed citations breakdown →
12.
Leoni, Valerio, Caterina Mariotti, Sarah J. Tabrizi, et al.. (2008). Plasma 24S-hydroxycholesterol and caudate MRI in pre-manifest and early Huntington's disease. Brain. 131(11). 2851–2859. 117 indexed citations
13.
Rigamonti, Dorotea, Daniele Bolognini, Chiara Zuccato, et al.. (2007). Loss of Huntingtin Function Complemented by Small Molecules Acting as Repressor Element 1/Neuron Restrictive Silencer Element Silencer Modulators. Journal of Biological Chemistry. 282(34). 24554–24562. 38 indexed citations
14.
Valenza, Marta, Valerio Leoni, Alessia Tarditi, et al.. (2007). Progressive dysfunction of the cholesterol biosynthesis pathway in the R6/2 mouse model of Huntington’s disease. Neurobiology of Disease. 28(1). 133–142. 94 indexed citations
15.
Valenza, Marta, Jeffrey B. Carroll, Valerio Leoni, et al.. (2007). Cholesterol biosynthesis pathway is disturbed in YAC128 mice and is modulated by huntingtin mutation. Human Molecular Genetics. 16(18). 2187–2198. 98 indexed citations
16.
Valenza, Marta & Elena Cattaneo. (2006). Cholesterol dysfunction in neurodegenerative diseases: Is Huntington's disease in the list?. Progress in Neurobiology. 80(4). 165–176. 58 indexed citations
17.
Goffredo, Donato, Dorotea Rigamonti, Chiara Zuccato, et al.. (2005). Prevention of cytosolic IAPs degradation: a potential pharmacological target in Huntington's Disease. Pharmacological Research. 52(2). 140–150. 35 indexed citations
18.
Valenza, Marta, Dorotea Rigamonti, Donato Goffredo, et al.. (2005). Dysfunction of the Cholesterol Biosynthetic Pathway in Huntington's Disease. Journal of Neuroscience. 25(43). 9932–9939. 218 indexed citations
19.
Zuccato, Chiara, Daniel Liber, Alessia Tarditi, et al.. (2005). Progressive loss of BDNF in a mouse model of Huntington's disease and rescue by BDNF delivery. Pharmacological Research. 52(2). 133–139. 158 indexed citations
20.
Campisi, Domenico, et al.. (1987). Oestrogen binding sites in fresh human aortic tissue.. PubMed. 9(5). 393–8. 30 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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