Sunnie Grace McCalla

Also affiliated with Wisconsin Institutes for Discovery

Biochemistry, Genetics and Molecular BiologyEnvironmental 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 3 papers. Top paper: “Identifying strengths and weaknesses of methods for computational network inference from single cell RNA-seq data”.

Identifying strengths and weaknesses of methods for computational network inference from single cell RNA-seq data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.01.446671

N/A

0DataRank · unranked

11 citations

Alireza Fotuhi Siahpirani, Jiaxin Li, Saptarshi Pyne, Matthew R. Stone, Viswesh Periyasamy +3 more

Inference of cell type-specific gene regulatory networks on cell lineages from single cell omic datasets

Nature Communications(2023)10.1038/s41467-023-38637-9

N/A

0DataRank · unranked

115 citations

Saptarshi Pyne, Stefan Pietrzak, Spencer Halberg, Sunnie Grace McCalla, Alireza Fotuhi Siahpirani +3 more

Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data

G3 Genes Genomes Genetics(2023)10.1093/g3journal/jkad004

N/A

0DataRank · unranked

53 citations

Alireza Fotuhi Siahpirani, Jiaxin Li, Saptarshi Pyne, Matthew R. Stone, Viswesh Periyasamy +3 more