Malte Hasle Nielsen

MedicineBiochemistry, 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 1 paper. Top paper: “Nuclear morphology is a deep learning biomarker of cellular senescence”.

Nuclear morphology is a deep learning biomarker of cellular senescence

Nature Aging(2022)10.1038/s43587-022-00263-3

N/A

0DataRank · unranked

229 citations

Garik V. Mkrtchyan, Michael Ben Ezra, Daniela Bakula, Jakob Sture Madsen, Malte Hasle Nielsen +10 more