Roxanne Larivière

Montreal Neurological Institute and Hospital

MedicineNeuroscienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Deep Intronic FGF14 GAA Repeat Expansion in Late-Onset Cerebellar Ataxia”.

Deep Intronic FGF14 GAA Repeat Expansion in Late-Onset Cerebellar Ataxia

New England Journal of Medicine(2022)10.1056/nejmoa2207406

N/A

0.831DataRank · unranked

253 citations

Matt C. Danzi, Carlo Wilke, M. Renaud, Sarah Fazal, Marie‐Josée Dicaire +46 more

Machine learning nominates the inositol pathway and novel genes in Parkinson’s disease

Brain(2023)10.1093/brain/awad345

N/A

0.500DataRank · unranked

27 citations

Roxanne Larivière, Rhalena A. Thomas, Lang Liu, Konstantin Senkevich, Shady Rahayel +4 more

Identification of novel variants, genes and pathways potentially linked to Parkinson’s disease using machine learning

medRxiv(2023)10.1101/2023.06.20.23291658

N/A

0.208DataRank · unranked

3 citations

Roxanne Larivière, Rhalena A. Thomas, Lang Liu, Konstantin Senkevich, Shady Rahayel +4 more