Elisa Fossale

1.8k total citations
16 papers, 1.4k citations indexed

About

Elisa Fossale is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Elisa Fossale has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Elisa Fossale's work include Genetic Neurodegenerative Diseases (14 papers), Mitochondrial Function and Pathology (11 papers) and Neurological disorders and treatments (4 papers). Elisa Fossale is often cited by papers focused on Genetic Neurodegenerative Diseases (14 papers), Mitochondrial Function and Pathology (11 papers) and Neurological disorders and treatments (4 papers). Elisa Fossale collaborates with scholars based in United States, Italy and France. Elisa Fossale's co-authors include Marcy E. MacDonald, Elena Cattaneo, Janice A. Espinola, Chiara Zuccato, Susan L. Cotman, Dorotea Rigamonti, Yi Cao, Ashish C. Massey, James F. Gusella and Ana María Cuervo and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Elisa Fossale

16 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisa Fossale United States 15 1.0k 809 357 267 253 16 1.4k
Elisabetta Babetto United States 16 620 0.6× 760 0.9× 241 0.7× 228 0.9× 225 0.9× 24 1.4k
Bénédicte C. Charrin France 3 1.3k 1.3× 1.1k 1.3× 124 0.3× 372 1.4× 331 1.3× 3 1.7k
Shinji Hadano Japan 24 788 0.8× 260 0.3× 168 0.5× 254 1.0× 792 3.1× 63 1.6k
Mariko Soda Japan 7 1.1k 1.1× 770 1.0× 302 0.8× 789 3.0× 974 3.8× 8 2.1k
Kahori Shiba‐Fukushima Japan 15 992 1.0× 270 0.3× 239 0.7× 182 0.7× 656 2.6× 20 1.6k
Jung Eun Shin South Korea 12 558 0.5× 592 0.7× 175 0.5× 234 0.9× 165 0.7× 23 1.2k
Guido Hermey Germany 21 687 0.7× 346 0.4× 457 1.3× 490 1.8× 41 0.2× 35 1.3k
Khalid Hamid El Hachimi France 18 455 0.4× 449 0.6× 286 0.8× 211 0.8× 189 0.7× 28 963
Ammar F. Mubaidin Jordan 4 395 0.4× 293 0.4× 275 0.8× 220 0.8× 605 2.4× 7 1.1k
Julia S. Schlehe United States 7 1.2k 1.2× 426 0.5× 392 1.1× 260 1.0× 723 2.9× 7 1.9k

Countries citing papers authored by Elisa Fossale

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Fossale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Fossale

This figure shows the co-authorship network connecting the top 25 collaborators of Elisa Fossale. A scholar is included among the top collaborators of Elisa Fossale 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 Elisa Fossale. Elisa Fossale 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.
Carroll, Jeffrey B., Amy Deik, Elisa Fossale, et al.. (2015). HdhQ111 Mice Exhibit Tissue Specific Metabolite Profiles that Include Striatal Lipid Accumulation. PLoS ONE. 10(8). e0134465–e0134465. 16 indexed citations
2.
Lee, Jong‐Min, Rachel Levantovsky, Elisa Fossale, et al.. (2013). Dominant effects of the Huntington's disease HTT CAG repeat length are captured in gene-expression data sets by a continuous analysis mathematical modeling strategy. Human Molecular Genetics. 22(16). 3227–3238. 21 indexed citations
3.
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
4.
Fossale, Elisa, Ihn Sik Seong, Kathryn R. Coser, et al.. (2011). Differential effects of the Huntington's disease CAG mutation in striatum and cerebellum are quantitative not qualitative. Human Molecular Genetics. 20(21). 4258–4267. 18 indexed citations
5.
Reis, Surya A., Morgan N. Thompson, Jong‐Min Lee, et al.. (2011). Striatal neurons expressing full-length mutant huntingtin exhibit decreased N-cadherin and altered neuritogenesis. Human Molecular Genetics. 20(12). 2344–2355. 30 indexed citations
6.
Gohil, Vishal M., Nicolas Offner, James A. Walker, et al.. (2010). Meclizine is neuroprotective in models of Huntington's disease. Human Molecular Genetics. 20(2). 294–300. 37 indexed citations
7.
Valenza, Marta, Valerio Leoni, Joanna M. Karasinska, et al.. (2010). Cholesterol Defect Is Marked across Multiple Rodent Models of Huntington's Disease and Is Manifest in Astrocytes. Journal of Neuroscience. 30(32). 10844–10850. 128 indexed citations
8.
Carnemolla, Alisia, Elisa Fossale, Elena Agostoni, et al.. (2009). Rrs1 Is Involved in Endoplasmic Reticulum Stress Response in Huntington Disease. Journal of Biological Chemistry. 284(27). 18167–18173. 133 indexed citations
9.
Zuccato, Chiara, Nikolai N. Belyaev, Paola Conforti, et al.. (2007). Widespread Disruption of Repressor Element-1 Silencing Transcription Factor/Neuron-Restrictive Silencer Factor Occupancy at Its Target Genes in Huntington's Disease. Journal of Neuroscience. 27(26). 6972–6983. 224 indexed citations
10.
Altmann, Stephen M., Elisa Fossale, Michele M. Maxwell, et al.. (2006). Discovery of Bioactive Small-Molecule Inhibitor of Poly ADP-Ribose Polymerase: Implications for Energy-Deficient Cells. Chemistry & Biology. 13(7). 765–770. 8 indexed citations
11.
Lloret, Alejandro, Ella Dragileva, Janice A. Espinola, et al.. (2006). Genetic background modifies nuclear mutant huntingtin accumulation and HD CAG repeat instability in Huntington's disease knock-in mice. Human Molecular Genetics. 15(12). 2015–2024. 68 indexed citations
12.
Cao, Yi, Janice A. Espinola, Elisa Fossale, et al.. (2006). Autophagy Is Disrupted in a Knock-in Mouse Model of Juvenile Neuronal Ceroid Lipofuscinosis. Journal of Biological Chemistry. 281(29). 20483–20493. 204 indexed citations
13.
Seong, Ihn Sik, Elena V. Ivanova, Jong‐Min Lee, et al.. (2005). HD CAG repeat implicates a dominant property of huntingtin in mitochondrial energy metabolism. Human Molecular Genetics. 14(19). 2871–2880. 235 indexed citations
14.
Fossale, Elisa, Pavlina Wolf, Janice A. Espinola, et al.. (2004). Membrane trafficking and mitochondrial abnormalities precede subunit c deposition in a cerebellar cell model of juvenile neuronal ceroid lipofuscinosis. BMC Neuroscience. 5(1). 57–57. 118 indexed citations
15.
Fossale, Elisa. (2002). Identification of a presymptomatic molecular phenotype in Hdh CAG knock-in mice. Human Molecular Genetics. 11(19). 2233–2241. 48 indexed citations
16.
Rigamonti, Dorotea, Simonetta Sipione, Donato Goffredo, et al.. (2001). Huntingtin's Neuroprotective Activity Occurs via Inhibition of Procaspase-9 Processing. Journal of Biological Chemistry. 276(18). 14545–14548. 123 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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