Nicole de Leeuw

Also affiliated with Radboud University Medical Center

Biochemistry, Genetics and Molecular BiologyMedicine

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 2 papers. Top paper: “PhenoScore: AI-based phenomics to quantify rare disease and genetic variation”.

PhenoScore: AI-based phenomics to quantify rare disease and genetic variation

medRxiv(2022)10.1101/2022.10.24.22281480

N/A

0DataRank · unranked

6 citations

Max Hinne, Kim M. G. Truijen, Lia Goltstein, Jeroen van Reeuwijk, Nicole de Leeuw +26 more

PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework

Nature Genetics(2023)10.1038/s41588-023-01469-w

N/A

0DataRank · unranked

77 citations

Max Hinne, Kim M. G. Truijen, Lia Goltstein, Jeroen van Reeuwijk, Nicole de Leeuw +28 more