Claudia Skok Gibbs

Biochemistry, Genetics and Molecular BiologyMedicineAgricultural and Biological Sciences

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: “High performance single-cell gene regulatory network inference at scale: The Inferelator 3.0”.

High performance single-cell gene regulatory network inference at scale: The Inferelator 3.0

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.03.442499

N/A

0DataRank · unranked

11 citations

Christopher A. Jackson, Giuseppe-Antonio Saldi, Andreas Tjärnberg, Aashna Shah, Aaron Watters +11 more

High-performance single-cell gene regulatory network inference at scale: the Inferelator 3.0

Bioinformatics(2022)10.1093/bioinformatics/btac117

N/A

0DataRank · unranked

79 citations

Christopher A. Jackson, Giuseppe-Antonio Saldi, Andreas Tjärnberg, Aashna Shah, Aaron Watters +11 more

Coordinated control of neuronal differentiation and wiring by sustained transcription factors

Science(2022)10.1126/science.add1884

N/A

0DataRank · unranked

51 citations

Claudia Skok Gibbs, Isabel Holguera, Mennah Soliman, Richard Bonneau, Claude Desplan +1 more

PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization

Genome biology(2024)10.1186/s13059-024-03226-6

N/A

0DataRank · unranked

16 citations

Omar Mahmood, Richard Bonneau, Kyunghyun Cho, Claudia Skok Gibbs