What is he best known for?
The fields of study he is best known for:
Narisu Narisu focuses on Genetics, Genome-wide association study, Single-nucleotide polymorphism, Internal medicine and Type 2 diabetes.
His Genetics study is mostly concerned with TCF7L2, Sex characteristics, Cell type, Regulation of gene expression and Gene.
His Genome-wide association study research integrates issues from Body mass index, Kidney, Waist–hip ratio and Genetic association.
His research integrates issues of Framingham Risk Score, Bioinformatics, Blood pressure, Medical genetics and Genetic architecture in his study of Genetic association.
His Genotyping research extends to the thematically linked field of Single-nucleotide polymorphism.
Internal medicine is frequently linked to Endocrinology in his study.
His most cited work include:
- Chromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants (477 citations)
- The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study (455 citations)
- Genome-Wide Association Identifies Nine Common Variants Associated With Fasting Proinsulin Levels and Provides New Insights Into the Pathophysiology of Type 2 Diabetes (287 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genetics, Genome-wide association study, Type 2 diabetes, Single-nucleotide polymorphism and Internal medicine.
Genetics is closely attributed to Body mass index in his research.
His Genome-wide association study research includes elements of Locus, Allelic heterogeneity, Quantitative trait locus, Expression quantitative trait loci and Genetic association.
His Type 2 diabetes research is multidisciplinary, relying on both HNF1A and Insulin, Glucose homeostasis, Insulin resistance.
His work deals with themes such as Endocrinology and Data sequences, which intersect with Internal medicine.
His work carried out in the field of Endocrinology brings together such families of science as Odds ratio and Case-control study.
He most often published in these fields:
- Genetics (52.81%)
- Genome-wide association study (31.46%)
- Type 2 diabetes (20.22%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (11.24%)
- Pancreatic islets (6.74%)
- Chromatin (10.11%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Computational biology, Pancreatic islets, Chromatin, Epigenomics and Islet.
His work in Computational biology addresses subjects such as Transcriptome, which are connected to disciplines such as Cell.
His Chromatin study which covers Enhancer that intersects with Reporter gene.
His studies in Epigenomics integrate themes in fields like PDX1 and Allele.
His Islet research incorporates elements of TCF7L2 and Transcriptional regulation.
His Transcriptional regulation study is focused on Genetics in general.
Between 2018 and 2021, his most popular works were:
- Multiomic Profiling Identifies cis-Regulatory Networks Underlying Human Pancreatic β Cell Identity and Function. (21 citations)
- In vivo base editing rescues Hutchinson-Gilford progeria syndrome in mice. (17 citations)
- Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D. (15 citations)
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