Monica T. Dayao

ChemistryBiochemistry, Genetics and Molecular Biology

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: “Membrane marker selection for segmenting single cell spatial proteomics data”.

Membrane marker selection for segmenting single cell spatial proteomics data

Nature Communications(2022)10.1038/s41467-022-29667-w

N/A

0DataRank · unranked

25 citations

Maigan A. Brusko, Clive Wasserfall, Ziv Bar‐Joseph, Monica T. Dayao

Deriving spatial features from in situ proteomics imaging to enhance cancer survival analysis

Bioinformatics(2023)10.1093/bioinformatics/btad245

N/A

0DataRank · unranked

17 citations

Alexandro E. Trevino, Honesty Kim, Matthew Ruffalo, H. Blaize D’Angio, Ryan Preska +4 more

Using spatial proteomics to enhance cell type assignments in histology images

Cell Reports Methods(2025)10.1016/j.crmeth.2025.101204

N/A

0DataRank · unranked

3 citations

Aaron T. Mayer, Alexandro E. Trevino, Ziv Bar‐Joseph, Monica T. Dayao