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 Genetics, Genome-wide association study, Internal medicine, Single-nucleotide polymorphism and Locus.
Genetics is a component of his Gene, Allele, Allele frequency, Haplotype and Genotype studies.
The concepts of his Genome-wide association study study are interwoven with issues in Bioinformatics, Genetic epidemiology, Quantitative trait locus, Expression quantitative trait loci and Genetic association.
In his research on the topic of Internal medicine, Mutation is strongly related with Endocrinology.
His Single-nucleotide polymorphism study integrates concerns from other disciplines, such as Odds ratio, Coronary artery disease, Myocardial infarction, Cardiology and Disease.
Andreas Ziegler interconnects Genetic variability, Case-control study and FTO gene in the investigation of issues within Locus.
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)
- Genomewide association analysis of coronary artery disease. (1726 citations)
What are the main themes of his work throughout his whole career to date?
Andreas Ziegler focuses on Genetics, Internal medicine, Statistics, Single-nucleotide polymorphism and Gene.
His works in Genome-wide association study, Locus, Genetic association, Haplotype and Allele are all subjects of inquiry into Genetics.
His research integrates issues of Endocrinology, Oncology and Allele frequency in his study of Internal medicine.
His Statistics study frequently links to adjacent areas such as Econometrics.
Andreas Ziegler works in the field of Single-nucleotide polymorphism, namely SNP.
He most often published in these fields:
- Genetics (27.31%)
- Internal medicine (12.69%)
- Statistics (11.28%)
What were the highlights of his more recent work (between 2014-2021)?
- Genetics (27.31%)
- Calcite (5.64%)
- Statistics (11.28%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Genetics, Calcite, Statistics, Genome-wide association study and Single-nucleotide polymorphism.
Andreas Ziegler combines topics linked to Evolutionary biology with his work on Genetics.
His Calcite study combines topics in areas such as Electron backscatter diffraction, Gelatin, Aggregate and Diagenesis.
The study incorporates disciplines such as Random forest and Econometrics in addition to Statistics.
His Genome-wide association study study frequently draws connections between related disciplines such as Quantitative trait locus.
His research investigates the link between Single-nucleotide polymorphism and topics such as Gene expression that cross with problems in Phenotype and Bioinformatics.
Between 2014 and 2021, his most popular works were:
- ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R (695 citations)
- Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function (273 citations)
- Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function (66 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Statistics
Andreas Ziegler spends much of his time researching Genetics, Genome-wide association study, Internal medicine, Random forest and Single-nucleotide polymorphism.
Genetics and Evolutionary biology are frequently intertwined in his study.
He combines subjects such as Quantitative trait locus, Genetic association, Genetic variation, Major histocompatibility complex and Candidate gene with his study of Genome-wide association study.
As part of one scientific family, Andreas Ziegler deals mainly with the area of Internal medicine, narrowing it down to issues related to the Oncology, and often Parkin, Clinical trial, Omics, PINK1 and Clinical endpoint.
His studies in Random forest integrate themes in fields like Statistics, Clustering high-dimensional data and Computational science.
His Single-nucleotide polymorphism study combines topics from a wide range of disciplines, such as Inflammasome, Genetic predisposition, Immunology and Gene isoform.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
