Emerging roles of N-linked glycosylation in brain physiology and disorders is a research paper published in Trends in Endocrinology and Metabolism (2021). On theSindex it has a DataRank of 0. It has been cited 103 times.
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NIA
Grant: R01 AG066653
National Cancer Institute
Grant: T32CA165990
Rally Foundation
Grant: P01 NS097197
Rally Foundation
Grant: R35 NS116824
NCI NIH HHS
Grant: F99 CA264165
FWCI
5.85
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 2 of Integrating transcriptomics, glycomics and glycoproteomics to characterize hepatitis B virus-associated hepatocellular carcinoma
Additional file 1 of Integrating transcriptomics, glycomics and glycoproteomics to characterize hepatitis B virus-associated hepatocellular carcinoma
Additional file 2 of Integrating transcriptomics, glycomics and glycoproteomics to characterize hepatitis B virus-associated hepatocellular carcinoma
Additional file 1 of Integrating transcriptomics, glycomics and glycoproteomics to characterize hepatitis B virus-associated hepatocellular carcinoma
Additional file 10 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 10 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 6 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 5 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 1 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 7 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 3 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 4 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 7 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 9 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 4 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 9 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 5 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 2 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 8 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression
Additional file 1 of Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression