Danielle Casanova

1.0k total citations
17 papers, 852 citations indexed

About

Danielle Casanova is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Danielle Casanova has authored 17 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Neurology and 7 papers in Nutrition and Dietetics. Recurrent topics in Danielle Casanova's work include Prion Diseases and Protein Misfolding (14 papers), Neurological diseases and metabolism (7 papers) and Trace Elements in Health (7 papers). Danielle Casanova is often cited by papers focused on Prion Diseases and Protein Misfolding (14 papers), Neurological diseases and metabolism (7 papers) and Trace Elements in Health (7 papers). Danielle Casanova collaborates with scholars based in France, United States and Germany. Danielle Casanova's co-authors include Sylvain Lehmann, Ollivier Milhavet, Noriyuki Nishida, Alain Mangé, Hilary E.M. McMahon, Jacques Grassi, Hubert Laude, Christophe Créminon, David A. Harris and Yveline Frobert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Danielle Casanova

17 papers receiving 846 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Casanova France 12 782 371 336 126 46 17 852
Patrick J. Bosque United States 11 1.1k 1.3× 530 1.4× 397 1.2× 76 0.6× 32 0.7× 14 1.1k
Prusiner Sb United States 8 651 0.8× 271 0.7× 231 0.7× 96 0.8× 34 0.7× 14 726
Cinzia Tiberi Switzerland 10 714 0.9× 226 0.6× 132 0.4× 117 0.9× 48 1.0× 11 872
James F. Striebel United States 17 832 1.1× 537 1.4× 230 0.7× 224 1.8× 15 0.3× 30 927
Cathryn L. Haigh United States 20 784 1.0× 350 0.9× 316 0.9× 214 1.7× 13 0.3× 61 1.0k
Rachel Angers United States 12 765 1.0× 343 0.9× 183 0.5× 221 1.8× 20 0.4× 15 975
Tamaki Muramoto Japan 21 1.6k 2.1× 936 2.5× 630 1.9× 168 1.3× 25 0.5× 28 1.7k
Takehiro Nakagaki Japan 16 814 1.0× 340 0.9× 144 0.4× 235 1.9× 54 1.2× 38 1.0k
D. Serban United States 13 1.5k 1.9× 918 2.5× 679 2.0× 156 1.2× 39 0.8× 19 1.6k
J M Gabriel Switzerland 10 651 0.8× 332 0.9× 276 0.8× 97 0.8× 19 0.4× 14 828

Countries citing papers authored by Danielle Casanova

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Casanova

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Casanova. A scholar is included among the top collaborators of Danielle Casanova 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 Danielle Casanova. Danielle Casanova 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.
Relaño-Ginés, Aroa, Sylvain Lehmann, Maxime Bélondrade, et al.. (2018). Lithium as a disease-modifying agent for prion diseases. Translational Psychiatry. 8(1). 163–163. 11 indexed citations
2.
Lehmann, Sylvain, Aroa Relaño-Ginés, Danielle Casanova, et al.. (2014). Systemic Delivery of siRNA Down Regulates Brain Prion Protein and Ameliorates Neuropathology in Prion Disorder. PLoS ONE. 9(2). e88797–e88797. 16 indexed citations
3.
Relaño-Ginés, Aroa, Audrey Gabelle, Claire Hamela, et al.. (2013). Prion Replication Occurs in Endogenous Adult Neural Stem Cells and Alters Their Neuronal Fate: Involvement of Endogenous Neural Stem Cells in Prion Diseases. PLoS Pathogens. 9(8). e1003485–e1003485. 25 indexed citations
4.
Bélondrade, Maxime, et al.. (2011). HEPES inhibits the conversion of prion protein in cell culture. Journal of General Virology. 92(5). 1244–1250. 5 indexed citations
5.
Levivier, Marc, et al.. (2011). Se dire avec le déci: paroles alcooliques. 13(1). 20–21. 1 indexed citations
6.
Roche, Stéphane, Manuela Pastore, Danielle Casanova, et al.. (2010). Proteomic consequences of expression and pathological conversion of the prion protein in inducible neuroblastoma N2a cells. Prion. 4(4). 292–301. 13 indexed citations
7.
Chasseigneaux, Stéphanie, Manuela Pastore, Janice Britton‐Davidian, et al.. (2008). Genetic heterogeneity versus molecular analysis of prion susceptibility in neuroblasma N2a sublines. Archives of Virology. 153(9). 1693–1702. 11 indexed citations
8.
Crozet, Carole, Takuya Nishimura, Takashi Onodera, et al.. (2006). The truncated 23-230 form of the prion protein localizes to the nuclei of inducible cell lines independently of its nuclear localization signals and is not cytotoxic. Molecular and Cellular Neuroscience. 32(4). 315–323. 22 indexed citations
9.
Milhavet, Ollivier, Danielle Casanova, Nathalie Chevallier, Ronald D.G. McKay, & Sylvain Lehmann. (2006). Neural Stem Cell Model for Prion Propagation. Stem Cells. 24(10). 2284–2291. 29 indexed citations
10.
McMahon, Hilary E.M., Alain Mangé, Noriyuki Nishida, et al.. (2001). Cleavage of the Amino Terminus of the Prion Protein by Reactive Oxygen Species. Journal of Biological Chemistry. 276(3). 2286–2291. 132 indexed citations
11.
Mangé, Alain, Ollivier Milhavet, Hilary E.M. McMahon, Danielle Casanova, & Sylvain Lehmann. (2000). Effect of Amphotericin B on Wild‐Type and Mutated Prion Proteins in Cultured Cells. Journal of Neurochemistry. 74(2). 754–762. 21 indexed citations
12.
Nishida, Noriyuki, David A. Harris, Didier Vilette, et al.. (2000). Successful Transmission of Three Mouse-Adapted Scrapie Strains to Murine Neuroblastoma Cell Lines Overexpressing Wild-Type Mouse Prion Protein. Journal of Virology. 74(1). 320–325. 202 indexed citations
13.
Milhavet, Ollivier, Alain Mangé, Danielle Casanova, & Sylvain Lehmann. (2000). Effect of Congo Red on Wild‐Type and Mutated Prion Proteins in Cultured Cells. Journal of Neurochemistry. 74(1). 222–230. 44 indexed citations
14.
Milhavet, Ollivier, Hilary E.M. McMahon, Walid Rachidi, et al.. (2000). Prion infection impairs the cellular response to oxidative stress. Proceedings of the National Academy of Sciences. 97(25). 13937–13942. 177 indexed citations
15.
Mangé, Alain, Noriyuki Nishida, Ollivier Milhavet, et al.. (2000). Amphotericin B Inhibits the Generation of the Scrapie Isoform of the Prion Protein in Infected Cultures. Journal of Virology. 74(7). 3135–3140. 99 indexed citations
16.
Lebart, Marie‐Christine, Danielle Casanova, & Yves Benyamin. (1995). Actin interaction with purified dystrophin from electric organ of Torpedo marmorata: possible resemblance with filamin-actin interface. Journal of Muscle Research and Cell Motility. 16(5). 543–552. 11 indexed citations
17.
Lebart, Marie‐Christine, Caroline Méjean, Danielle Casanova, et al.. (1994). Characterization of the actin binding site on smooth muscle filamin.. Journal of Biological Chemistry. 269(6). 4279–4284. 33 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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