What is he best known for?
The fields of study he is best known for:
David Schlessinger spends much of his time researching Genetics, Genome-wide association study, Single-nucleotide polymorphism, Internal medicine and Endocrinology.
His study in Genetics is interdisciplinary in nature, drawing from both Body mass index and Disease.
His Body mass index research integrates issues from Obesity, SH2B1 and Glucose homeostasis.
His research integrates issues of Quantitative trait locus, FTO gene, Genetic association and Bioinformatics in his study of Genome-wide association study.
His research investigates the connection between Single-nucleotide polymorphism and topics such as Lipid metabolism that intersect with issues in KLF14, Liver function and Liver disease.
His Internal medicine research is multidisciplinary, relying on both Diabetes mellitus, Type 2 diabetes and Female sex determination.
His most cited work include:
- Biological, clinical and population relevance of 95 loci for blood lipids (2804 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
- New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (1707 citations)
What are the main themes of his work throughout his whole career to date?
David Schlessinger mainly investigates Genetics, Genome-wide association study, Internal medicine, Endocrinology and Molecular biology.
As a part of the same scientific family, David Schlessinger mostly works in the field of Genetics, focusing on Body mass index and, on occasion, Obesity.
His Genome-wide association study study integrates concerns from other disciplines, such as Bioinformatics, Quantitative trait locus, Disease, Allele and Candidate gene.
Internal medicine is closely attributed to Cardiology in his research.
His Endocrinology study combines topics in areas such as Gene expression and Cell biology.
David Schlessinger combines subjects such as RNA, Ribosomal RNA, Biochemistry and Escherichia coli with his study of Molecular biology.
He most often published in these fields:
- Genetics (44.56%)
- Genome-wide association study (25.65%)
- Internal medicine (21.50%)
What were the highlights of his more recent work (between 2015-2021)?
- Genetics (44.56%)
- Genome-wide association study (25.65%)
- Internal medicine (21.50%)
In recent papers he was focusing on the following fields of study:
David Schlessinger mostly deals with Genetics, Genome-wide association study, Internal medicine, Genetic association and Gene.
His study connects QRS complex and Genetics.
Genome-wide association study is a subfield of Single-nucleotide polymorphism that David Schlessinger tackles.
His work deals with themes such as Endocrinology, Cell biology and Cardiology, which intersect with Internal medicine.
His work carried out in the field of Genetic association brings together such families of science as Imputation and Computational biology.
His Behavioural genetics research is multidisciplinary, incorporating elements of Neuroticism and Heritability.
Between 2015 and 2021, his most popular works were:
- A reference panel of 64,976 haplotypes for genotype imputation (1312 citations)
- Next-generation genotype imputation service and methods. (1165 citations)
- Genome-wide association study identifies 74 loci associated with educational attainment (825 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Quantitative trait locus.
His studies deal with areas such as Phenotype, Neuroticism, Disease and Genetic variation as well as Genome-wide association study.
His Genetics study is mostly concerned with Behavioural genetics, Medical genetics, Heritability, Gene and Genetic architecture.
As a member of one scientific family, David Schlessinger mostly works in the field of Genetic association, focusing on Imputation and, on occasion, Genome informatics, Data mining and Genotype imputation.
His biological study spans a wide range of topics, including PR interval, Fibrillation, Atrial fibrillation and Cardiac conduction.
His Quantitative trait locus research includes themes of Druggability, Computational biology, Biological target and Drug discovery.
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