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

Andreas W. Kempa-Liehr

University of Auckland

ORCID: 0000-0001-5558-0573

Also affiliated with Auckland University of Technology

Computer SciencePhysics and AstronomyDecision Sciences

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: “Identifying the lungs as a susceptible site for allele-specific regulatory changes associated with type 1 diabetes risk”.

Identifying the lungs as a susceptible site for allele-specific regulatory changes associated with type 1 diabetes risk

Communications Biology(2021)10.1038/s42003-021-02594-0
N/A
0DataRank · unranked
7 citations

Denis M. Nyaga, William Schierding, Richard Saffery, Jo K. Perry, John Taylor +4 more

Machine learning identifies six genetic variants and alterations in the Heart Atrial Appendage as key contributors to PD risk predictivity

medRxiv(2021)10.1101/2021.06.29.21259734
N/A
0DataRank · unranked
3 citations

William Schierding, Sophie Farrow, Antony A. Cooper, Andreas W. Kempa-Liehr, Justin M. O’Sullivan +1 more

Machine Learning Identifies Six Genetic Variants and Alterations in the Heart Atrial Appendage as Key Contributors to PD Risk Predictivity

(2022)10.3389/fgene.2021.785436
N/A
0DataRank · unranked
10 citations

William Schierding, Sophie Farrow, Antony A. Cooper, Andreas W. Kempa-Liehr, Justin M. O’Sullivan +1 more