What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Genetics
His primary scientific interests are in Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Locus.
His Genome-wide association study research is multidisciplinary, incorporating elements of Mendelian randomization, Internal medicine, Kidney disease, Renal function and Mass index.
Ayse Demirkan interconnects Cholesterol and Medical genetics in the investigation of issues within Mendelian randomization.
His research in Internal medicine focuses on subjects like Endocrinology, which are connected to C-reactive protein, Polymorphism and Heart disease.
His Genetics study incorporates themes from Body mass index and Obesity.
Ayse Demirkan has researched Single-nucleotide polymorphism in several fields, including Phenotype, Sphingolipid and Genetic variation.
His most cited work include:
- Discovery and refinement of loci associated with lipid levels (1814 citations)
- Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk (1543 citations)
- Defining the role of common variation in the genomic and biological architecture of adult human height (1407 citations)
What are the main themes of his work throughout his whole career to date?
Genome-wide association study, Genetics, Internal medicine, Genetic association and Endocrinology are his primary areas of study.
Genome-wide association study is a subfield of Single-nucleotide polymorphism that Ayse Demirkan explores.
The concepts of his Single-nucleotide polymorphism study are interwoven with issues in Meta-analysis and Metabolome.
His study in Internal medicine is interdisciplinary in nature, drawing from both Type 2 diabetes and Oncology.
The Genetic association study combines topics in areas such as Body mass index, Exome sequencing and Genetic architecture.
His studies in Mendelian randomization integrate themes in fields like Liver function, Clinical trial, Mendelian Randomization Analysis and Medical genetics.
He most often published in these fields:
- Genome-wide association study (68.86%)
- Genetics (65.27%)
- Internal medicine (53.29%)
What were the highlights of his more recent work (between 2017-2021)?
- Genome-wide association study (68.86%)
- Internal medicine (53.29%)
- Genetics (65.27%)
In recent papers he was focusing on the following fields of study:
Ayse Demirkan focuses on Genome-wide association study, Internal medicine, Genetics, Endocrinology and Genetic association.
His Genome-wide association study research includes themes of Microbiome, Genetic variation, Allele and Locus.
His research investigates the connection between Internal medicine and topics such as Oncology that intersect with problems in Prospective cohort study and Amino acid.
The Genetic model, Mendelian inheritance and Gene research Ayse Demirkan does as part of his general Genetics study is frequently linked to other disciplines of science, such as Genetic isolate, therefore creating a link between diverse domains of science.
His Genetic association research incorporates elements of Body mass index, Exome sequencing and Bioinformatics.
His studies examine the connections between Leptin and genetics, as well as such issues in Blood pressure, with regards to Insulin and Mendelian randomization.
Between 2017 and 2021, his most popular works were:
- Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes (165 citations)
- Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes (165 citations)
- Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels (66 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
Ayse Demirkan mainly focuses on Genome-wide association study, Internal medicine, Genetics, Lipoprotein and Gout.
His work is dedicated to discovering how Genome-wide association study, Genetic association are connected with Coding region and Genetic architecture and other disciplines.
His Internal medicine research focuses on Oncology and how it connects with Polymorphism, TCF7L2, Single-nucleotide polymorphism, Candidate gene and Genotype.
His Genetics study combines topics in areas such as Diabetes mellitus and Insulin.
His research in Lipoprotein intersects with topics in Metabolite, Dementia and Depression.
His work carried out in the field of Gout brings together such families of science as Exome sequencing, SLC22A12, SLC2A9 and Bioinformatics.
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