Amina Mollaysa

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 2 papers. Top paper: “Predicting adenine base editing efficiencies in different cellular contexts by deep learning”.

Predicting adenine base editing efficiencies in different cellular contexts by deep learning

Genome biology(2025)10.1186/s13059-025-03586-7

N/A

0DataRank · unranked

5 citations

Amina Mollaysa, Sharan Janjuha, Nicolas Mathis, Kim Fabiano Marquart, Yanik Weber +11 more

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence

arXiv (Cornell University)(2025)10.48550/arxiv.2506.21028

N/A

0DataRank · unranked

0 citations

Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa +4 more