Max Hinne

Also affiliated with Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Donders Centre for Cognition

NeuroscienceMathematicsComputer ScienceMedicine

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

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

0.655DataRank · unranked

78 citations

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

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

medRxiv(2022)10.1101/2022.10.24.22281480

N/A

0.292DataRank · unranked

6 citations

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