Angelo L. Vescovi

Also affiliated with Link Campus University

NeuroscienceBiochemistry, Genetics and Molecular BiologyMedicine

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 4 papers. Top paper: “APOGEE 2: multi-layer machine-learning model for the interpretable prediction of mitochondrial missense variants”.

APOGEE 2: multi-layer machine-learning model for the interpretable prediction of mitochondrial missense variants

Nature Communications(2023)10.1038/s41467-023-40797-7

N/A

0.550DataRank · unranked

38 citations

Luca Parca, Francesco Petrizzelli, Tommaso Biagini, Agnese Giovannetti, Niccolò Liorni +10 more

AQP4-dependent glioma cell features affect the phenotype of surrounding cells via extracellular vesicles

Cell & Bioscience(2022)10.1186/s13578-022-00888-2

N/A

0DataRank · unranked

15 citations

Francesco Pisani, Elena Binda, Antonio Frigeri, Angelo L. Vescovi, Maria Svelto +2 more

AQP4-dependent glioma cell features affect the phenotype of surrounding cells via extracellular vesicles

Research Square(2022)10.21203/rs.3.rs-1522630/v1

N/A

0DataRank · unranked

1 citations

Francesco Pisani, Elena Binda, Antonio Frigeri, Angelo L. Vescovi, Maria Svelto +2 more

APOGEE 2: multi-layer machine-learning model for the interpretable prediction of mitochondrial missense variants

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.18.545476

N/A

0DataRank · unranked

0 citations

Luca Parca, Francesco Petrizzelli, Tommaso Biagini, Agnese Giovannetti, Niccolò Liorni +10 more