Isabella Gimon

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: “Unfolding and De-confounding: Biologically meaningful causal inference from longitudinal multi-omic networks using METALICA”.

Unfolding and De-confounding: Biologically meaningful causal inference from longitudinal multi-omic networks using METALICA

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.12.571384

N/A

0DataRank · unranked

1 citations

Isabella Gimon, Musfiqur Sazal, Kalai Mathee, Giri Narasimhan, Daniel Ruiz-Perez

Unfolding and de-confounding: biologically meaningful causal inference from longitudinal multi-omic networks using METALICA

mSystems(2024)10.1128/msystems.01303-23

N/A

0DataRank · unranked

4 citations

Isabella Gimon, Musfiqur Sazal, Kalai Mathee, Giri Narasimhan, Daniel Ruiz-Perez