The genetic architecture of type 2 diabetes is a research paper published in Nature (2016). On theSindex it has a DataRank of 1.1. It has been cited 1,106 times.
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Base Score Contribution
1.1
From this paper's citation signal
Citation Network Contribution
0
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This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes
Additional file 1 of Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes
Additional file 1 of MethHaplo: combining allele-specific DNA methylation and SNPs for haplotype region identification
Additional file 1 of MethHaplo: combining allele-specific DNA methylation and SNPs for haplotype region identification
Additional file 1 of Divergent genes in gerbils: prevalence, relation to GC-biased substitution, and phenotypic relevance
Additional file 1 of Divergent genes in gerbils: prevalence, relation to GC-biased substitution, and phenotypic relevance
Additional file 1 of Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integration
Additional file 1 of Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integration
Additional file 2 of Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integration
Additional file 2 of Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integration
Additional file 3 of Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integration
Additional file 3 of Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integration
Additional file 4 of Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integration
Additional file 4 of Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integration
Additional file 1 of Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
Additional file 1 of Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
Additional file 3 of Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
Additional file 3 of Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
Additional file 2 of Next-Gen GWAS: full 2D epistatic interaction maps retrieve part of missing heritability and improve phenotypic prediction
Additional file 2 of Next-Gen GWAS: full 2D epistatic interaction maps retrieve part of missing heritability and improve phenotypic prediction