Chiara Fenoglio

16.4k total citations
172 papers, 5.7k citations indexed

About

Chiara Fenoglio is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Chiara Fenoglio has authored 172 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Neurology, 60 papers in Physiology and 55 papers in Molecular Biology. Recurrent topics in Chiara Fenoglio's work include Alzheimer's disease research and treatments (56 papers), Amyotrophic Lateral Sclerosis Research (46 papers) and Parkinson's Disease Mechanisms and Treatments (26 papers). Chiara Fenoglio is often cited by papers focused on Alzheimer's disease research and treatments (56 papers), Amyotrophic Lateral Sclerosis Research (46 papers) and Parkinson's Disease Mechanisms and Treatments (26 papers). Chiara Fenoglio collaborates with scholars based in Italy, United States and Netherlands. Chiara Fenoglio's co-authors include Daniela Galimberti, Elio Scarpini, Nereo Bresolin, María Serpente, E. Venturelli, Milena De Riz, Ilaria Guidi, Laura Ghezzi, Chiara Villa and Elisa Ridolfi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Brain.

In The Last Decade

Chiara Fenoglio

167 papers receiving 5.6k citations

Peers

Chiara Fenoglio
Julie E. Simpson United Kingdom
Robert D. Bell United States
Patrick M. Sullivan United States
Kōji Abe Japan
Kazuhide Hayakawa United States
Julie E. Simpson United Kingdom
Chiara Fenoglio
Citations per year, relative to Chiara Fenoglio Chiara Fenoglio (= 1×) peers Julie E. Simpson

Countries citing papers authored by Chiara Fenoglio

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Fenoglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Fenoglio

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Fenoglio. A scholar is included among the top collaborators of Chiara Fenoglio 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 Fenoglio. Chiara Fenoglio 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.
Ghezzi, Laura, Georgia Watt, Dana C. Perantie, et al.. (2025). The Serum Lipid Profile of Relapsing Multiple Sclerosis Differs Reproducibly From Healthy Controls. Journal of Neurochemistry. 169(11). e70285–e70285.
2.
Serpente, María, Giuseppe Delvecchio, Chiara Fenoglio, et al.. (2025). Differential miRNA expression in neural-enriched extracellular vesicles as potential biomarker for frontotemporal dementia and bipolar disorder. Neurobiology of Disease. 208. 106867–106867.
4.
Ghezzi, Laura, Chiara Fenoglio, Anna M. Pietroboni, et al.. (2024). CSF sphingolipids are correlated with neuroinflammatory cytokines and differentiate neuromyelitis optica spectrum disorder from multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 96(1). 54–67. 3 indexed citations
5.
Dongiovanni, Paola, Marica Meroni, Gilda Aiello, et al.. (2023). Salivary proteomic profile of young healthy subjects. Frontiers in Molecular Biosciences. 10. 1 indexed citations
6.
Arcaro, Marina, Tiziana Carandini, Anna M. Pietroboni, et al.. (2023). Association between enlarged perivascular spaces and cerebrospinal fluid aquaporin-4 and tau levels: report from a memory clinic. Frontiers in Aging Neuroscience. 15. 8 indexed citations
7.
Visconte, Caterina, María Serpente, Maria Teresa Golia, et al.. (2022). miR-150-5p and let-7b-5p in Blood Myeloid Extracellular Vesicles Track Cognitive Symptoms in Patients with Multiple Sclerosis. Cells. 11(9). 1551–1551. 18 indexed citations
8.
Rosa, Francesca La, Roberta Mancuso, Simone Agostini, et al.. (2021). Pharmacological and Epigenetic Regulators of NLRP3 Inflammasome Activation in Alzheimer’s Disease. Pharmaceuticals. 14(11). 1187–1187. 16 indexed citations
9.
Rubino, Elisa, Marco Di Stefano, Daniela Galimberti, et al.. (2019). C9ORF72 hexanucleotide repeat expansion frequency in patients with Paget's disease of bone. Neurobiology of Aging. 85. 154.e1–154.e3. 2 indexed citations
10.
Galimberti, Daniela, Chiara Fenoglio, Laura Ghezzi, et al.. (2019). Inflammatory expression profile in peripheral blood mononuclear cells from patients with Nasu-Hakola Disease. Cytokine. 116. 115–119. 5 indexed citations
11.
Fenoglio, Chiara, Elio Scarpini, María Serpente, & Daniela Galimberti. (2018). Role of Genetics and Epigenetics in the Pathogenesis of Alzheimer’s Disease and Frontotemporal Dementia. Journal of Alzheimer s Disease. 62(3). 913–932. 55 indexed citations
12.
Paroni, Moira, Marco De Simone, Valeria Ranzani, et al.. (2017). Recognition of viral and self-antigens by TH1 and TH1/TH17 central memory cells in patients with multiple sclerosis reveals distinct roles in immune surveillance and relapses. Journal of Allergy and Clinical Immunology. 140(3). 797–808. 54 indexed citations
13.
Vigna, Luisella, Fabrizia Bamonti, Marina Arcaro, et al.. (2017). Effects of 1-month R-α-lipoic acid supplementation on humans oxidative status: a pilot study. Progress in nutrition. 19(1). 14–25. 2 indexed citations
14.
Piccio, Laura, Yuetiva Deming, Jorge L. Del‐Aguila, et al.. (2016). Cerebrospinal fluid soluble TREM2 is higher in Alzheimer disease and associated with mutation status. Acta Neuropathologica. 131(6). 925–933. 262 indexed citations
15.
Villa, Chiara, Chiara Fenoglio, María Serpente, et al.. (2012). Genetics and expression analysis of the transcription factor Sp4 in patients with Alzheimer’s disease and frontotemporal lobar degeneration.. Journal of Neurology. 259. 134–134. 1 indexed citations
16.
Ragheb, Samia, Yanfeng Li, Stephen VanHaerents, et al.. (2011). Multiple sclerosis: BAFF and CXCL13 in cerebrospinal fluid. Multiple Sclerosis Journal. 17(7). 819–829. 91 indexed citations
17.
Riz, Milena De, Daniela Galimberti, Chiara Fenoglio, et al.. (2009). Cerebrospinal fluid progranulin levels in patients with different multiple sclerosis subtypes. Neuroscience Letters. 469(2). 234–236. 18 indexed citations
18.
Villa, Chiara, E. Venturelli, Chiara Fenoglio, et al.. (2009). DCUN1D1is a risk factor for frontotemporal lobar degeneration. European Journal of Neurology. 16(7). 870–873. 15 indexed citations
19.
Scalabrini, D., Chiara Fenoglio, Elio Scarpini, et al.. (2007). Candidate gene analysis of SPARCL1 gene in patients with multiple sclerosis. Neuroscience Letters. 425(3). 173–176. 6 indexed citations
20.
Galimberti, Daniela, D. Scalabrini, Chiara Fenoglio, et al.. (2006). CXCL10 haplotypes and multiple sclerosis: association and correlation with clinical course. European Journal of Neurology. 14(2). 162–167. 18 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026