Bayrem Gharsallaoui

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: “Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines”.

Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines

Nature Communications(2024)10.1038/s41467-024-54734-9

N/A

0DataRank · unranked

12 citations

David Hamelin, Peter Kubiniok, Benoîte Bourdin, Fatima Mostefai, Raphaël Poujol +24 more

Integrating Machine Learning-Enhanced Immunopeptidomics and SARS-CoV-2 Population-Scale Analyses Unveils Novel Antigenic Features for Next-Generation COVID-19 Vaccines

Research Square(2024)10.21203/rs.3.rs-3914861/v1

N/A

0DataRank · unranked

2 citations

Kevin A. Kovalchik, David Hamelin, Peter Kubiniok, Benoîte Bourdin, Fatima Mostefai +22 more

The GF-NEO discovery platform unveils a [KQE][DG] sequence motif within fusion neoantigens in pediatric cancer

iScience(2025)10.1016/j.isci.2025.114512

N/A

0DataRank · unranked

0 citations

Zhaoguan Wu, Frederic Saab, Tristan St-Laurent, Lou Nielly Thibault, Charles B. Beauparlant +16 more