Hua Tang
Genetics · Cell · 2002–2020
A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 51 citations into it; #4,227 of 6,854 by trust here, #1,511 by citations
Whom Hua Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hua Tang overall
- David H. Alexander
- Anil Raj
- Éric Frichot
- L. Skotte
- F. Alberto
- John Novembre
- Matthew Stephens
- Daniel J. Lawson
- C. Gravlee
- Kenneth L. Lange
Papers from Hua Tang's perspective
Ordered by how strongly the researchers Hua Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. (Genetics)
- An expanded view of complex traits: from polygenic to omnigenic (Cell)
- Approximately independent linkage disequilibrium blocks in human populations (bioRxiv)
- Detection and interpretation of shared genetic influences on 42 human traits (Nature Genetics)
- RNA splicing is a primary link between genetic variation and disease
- 10 Years of GWAS Discovery: Biology, Function, and Translation. (American Journal of Human Genetics)
- FINEMAP: efficient variable selection using summary data from genome-wide association studies (bioRxiv)
- Allelic Landscape of Human Blood Cell Trait Variation and Links
- Annotation-free quantification of RNA splicing using LeafCutter (Nature Genetics)
- Mapping copy number variation by population scale genome sequencing (Nature)
Their papers
- Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes (2012) — 1,224 citations
- The Polygenic and Monogenic Basis of Blood Traits and Diseases (2020) — 602 citations
- Genetic structure, self-identified race/ethnicity, and confounding in case-control association studies. (2005) — 597 citations
- Estimation of individual admixture: Analytical and study design considerations (2005) — 645 citations
- The importance of race and ethnic background in biomedical research and clinical practice. (2003) — 1,096 citations
- Categorization of humans in biomedical research: genes, race and disease (2002) — 787 citations
- Supporting Online Material Materials and Methods Figs. S1 to S3 Tables S1 to S5 References Worldwide Human Relationships Inferred from Genome-wide Patterns of Variation