Steven L. Christiansen

Also affiliated with University of Virginia

MedicineBiochemistry, Genetics and Molecular BiologyComputer Science

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: “Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy”.

Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008490

N/A

0.669DataRank · unranked

29 citations

Alexander Paap, Steven L. Christiansen, Jeffrey J. Saucerman, Ali Khalilimeybodi

Network model‐based screen for FDA‐approved drugs affecting cardiac fibrosis

CPT Pharmacometrics & Systems Pharmacology(2021)10.1002/psp4.12599

N/A

0DataRank · unranked

30 citations

Anirudha S. Chandrabhatla, Steven L. Christiansen, Anders R. Nelson, Jeffrey W. Holmes, Jeffrey J. Saucerman +1 more

Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.01.530599

N/A

0DataRank · unranked

3 citations

Steven L. Christiansen, Kristen M. Naegle, Jeffrey J. Saucerman, Anders R. Nelson

Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2303513121

N/A

0DataRank · unranked

24 citations

Steven L. Christiansen, Kristen M. Naegle, Jeffrey J. Saucerman, Anders R. Nelson