Kung-Yee Liang

Johns Hopkins University

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 4 papers. Top paper: “Longitudinal data analysis using generalized linear models”.

Longitudinal data analysis using generalized linear models

Biometrika(1986)10.1093/biomet/73.1.13

N/A

1.5DataRank · unranked

18027 citations

Scott L. Zeger, Kung‐Yee Liang, Kung-Yee Liang

Biological insights from 108 schizophrenia-associated genetic loci

Nature(2014)10.1038/nature13595

N/A

1.3DataRank · unranked

8042 citations

Stephan Ripke, Aiden Corvin, Jesse R. Dixon, Kai-How Farh, Peter Holmans +284 more

Longitudinal Data Analysis for Discrete and Continuous Outcomes

Biometrics(1986)10.2307/2531248

N/A

1.3DataRank · unranked

7817 citations

Kung-Yee Liang, Kung‐Yee Liang, Scott L. Zeger

Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

Nature Genetics(2016)10.1038/ng.3725

N/A

1.1DataRank · unranked

1129 citations

Daniel P. Howrigan, Daniele Merico, Bhooma Thiruvahindrapuram, Wenting Wu, Douglas S. Greer +267 more