🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Joery den Hoed

Max Planck Institute for Psycholinguistics

ORCID: 0000-0001-6614-876X

Also affiliated with MRC Holland (Netherlands)

Biochemistry, 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: “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

Induced pluripotent stem cells from subjects with Lesch-Nyhan disease

Scientific Reports(2021)10.1038/s41598-021-87955-9
N/A
0.477DataRank · unranked
23 citations

Ashok Reddy Dinasarapu, Jasper E. Visser, Joery den Hoed, Fatemeh Seifar, Piyush Joshi +8 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