Bingshan Li
Genetics · 2008–2016
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 29 citations into it; #849 of 6,854 by trust here, #333 by citations
Whom Bingshan Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bingshan Li overall
- Seunggeun Lee
- Michael C. Wu
- B. E. Madsen
- Michael Bamshad
- Nicholas J. Schork
- Daniel C. Koboldt
- Farhad Hormozdiari
- Xihong Lin
- Benjamin M. Neale
- Sharon R. Browning
Papers from Bingshan Li's perspective
Ordered by how strongly the researchers Bingshan Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Joint analysis of functional genomic data and genome-wide association studies of 18 human traits (bioRxiv)
- Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. (American Journal of Human Genetics)
- Rare-variant association testing for sequencing data with the sequence kernel association test. (American Journal of Human Genetics)
- The Structure of Haplotype Blocks in the Human Genome (Science)
- SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in East Asian and European populations (Nature Genetics)
- Identification of a variant associated with adult-type hypolactasia (Nature Genetics)
- Inference of Population Structure using Dense Haplotype Data
- Principal components analysis corrects for stratification in genome-wide association studies
- A Draft Sequence of the Neandertal Genome (Science)
- 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
Their papers
- A global reference for human genetic variation (2015) — 16,925 citations
- RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data (2016) — 401 citations
- Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. (2008) — 1,578 citations