What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
His main research concerns Genome-wide association study, Genetics, Genetic association, Genetic architecture and Quantitative trait locus.
Zoltán Kutalik combines subjects such as Bioinformatics, Medical genetics, Meta-analysis, Genetic variation and Candidate gene with his study of Genome-wide association study.
His Genetics study frequently involves adjacent topics like Body mass index.
The various areas that Zoltán Kutalik examines in his Genetic association study include Internal medicine and Glucose homeostasis.
His Genetic architecture research includes themes of Genetic variability and Disease.
His Quantitative trait locus research is multidisciplinary, incorporating perspectives in Birth weight, Menarche, Type 2 diabetes and Physiology.
His most cited work include:
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
- Hundreds of variants clustered in genomic loci and biological pathways affect human height (1614 citations)
- Hundreds of variants clustered in genomic loci and biological pathways affect human height (1614 citations)
What are the main themes of his work throughout his whole career to date?
Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Internal medicine are his primary areas of study.
His Genome-wide association study research incorporates themes from SNP, Body mass index, Meta-analysis, Quantitative trait locus and Computational biology.
His Genetic association study combines topics from a wide range of disciplines, such as Statistics, Disease, Blood pressure and Bioinformatics.
His research in Single-nucleotide polymorphism intersects with topics in Major depressive disorder and Immunology.
Zoltán Kutalik works mostly in the field of Internal medicine, limiting it down to topics relating to Type 2 diabetes and, in certain cases, Physiology, as a part of the same area of interest.
His work deals with themes such as Genotype and Genetic architecture, which intersect with Allele.
He most often published in these fields:
- Genome-wide association study (94.58%)
- Genetics (73.75%)
- Genetic association (40.62%)
What were the highlights of his more recent work (between 2018-2021)?
- Genome-wide association study (94.58%)
- Genetics (73.75%)
- Mendelian randomization (19.79%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Genome-wide association study, Genetics, Mendelian randomization, Gene and Disease.
Zoltán Kutalik has included themes like Expression quantitative trait loci, Computational biology, Genetic association and Statistics in his Genome-wide association study study.
His research in Genetics focuses on subjects like Adiponectin, which are connected to Adipose tissue.
His research integrates issues of Mendelian inheritance, Obesity, Bioinformatics, Causal inference and Confounding in his study of Mendelian randomization.
His work on Transcriptome, Phenotype and Mendelian Randomization Analysis as part of general Gene research is frequently linked to Fatty acid desaturase, bridging the gap between disciplines.
He interconnects Body mass index, Biobank, Fertility, Coronary artery disease and Ovarian reserve in the investigation of issues within Disease.
Between 2018 and 2021, his most popular works were:
- Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors (129 citations)
- Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors (129 citations)
- Assessment of network module identification across complex diseases. (69 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Computational biology, Mendelian randomization and Gene.
His Genome-wide association study study is concerned with Single-nucleotide polymorphism in general.
His studies link Etiology with Genetics.
The concepts of his Computational biology study are interwoven with issues in Public health interventions and Metabolic disease.
His study in Mendelian randomization is interdisciplinary in nature, drawing from both Birth weight, Obesity, Diabetes mellitus, Fetus and Physiology.
His work in the fields of Gene, such as Gene knockdown, intersects with other areas such as Fatty acid desaturase.
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