Réka Hollandi

Biochemistry, Genetics and Molecular BiologyEngineeringComputer 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: “Deep Visual Proteomics defines single-cell identity and heterogeneity”.

Deep Visual Proteomics defines single-cell identity and heterogeneity

Nature Biotechnology(2022)10.1038/s41587-022-01302-5

N/A

10.4DataRank · unranked

555 citations

Fabian Coscia, András Kriston, Réka Hollandi, Ferenc Kovács, Andreas-David Brunner +16 more

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Cell Systems(2020)10.1016/j.cels.2020.04.003

N/A

0DataRank · unranked

280 citations

Ábel Szkalisity, Tímea Tóth, Ervin Tasnádi, Csaba Molnár, Botond Mathe +20 more

Applications of deep learning in single-cell analysis

SZTE Repository of Dissertations (University of Szeged)(2021)10.14232/phd.10801

N/A

0DataRank · unranked

0 citations

Réka Hollandi