What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genetics, Single-nucleotide polymorphism, Quantitative trait locus, Genetic diversity and Selection.
He frequently studies issues relating to Computational biology and Genetics.
His Single-nucleotide polymorphism research includes elements of Quantitative genetics and Functional genomics.
Henner Simianer focuses mostly in the field of Quantitative trait locus, narrowing it down to topics relating to Genome-wide association study and, in certain cases, Heritability.
His Genetic diversity research integrates issues from Livestock, Gynecology, Population genetics and Extinction.
Henner Simianer interconnects Biotechnology, Haplotype and Sire in the investigation of issues within Selection.
His most cited work include:
- Development of a high density 600K SNP genotyping array for chicken (231 citations)
- Genome-based prediction of testcross values in maize (196 citations)
- Using Whole-Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster (162 citations)
What are the main themes of his work throughout his whole career to date?
Genetics, Selection, Statistics, Animal science and Single-nucleotide polymorphism are his primary areas of study.
His research related to Linkage disequilibrium, Quantitative trait locus, Haplotype, Genetic variation and Gene might be considered part of Genetics.
His work deals with themes such as Genetic gain and Inbreeding, which intersect with Selection.
His Statistics study combines topics in areas such as Breed and Effective population size.
His studies deal with areas such as Biotechnology, Genetic correlation and Heritability as well as Animal science.
His research integrates issues of Genotyping and Genome in his study of Single-nucleotide polymorphism.
He most often published in these fields:
- Genetics (34.80%)
- Selection (19.82%)
- Statistics (18.06%)
What were the highlights of his more recent work (between 2015-2021)?
- Evolutionary biology (11.01%)
- Selection (19.82%)
- Genetics (34.80%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Evolutionary biology, Selection, Genetics, Genetic variation and Single-nucleotide polymorphism.
His Evolutionary biology research includes elements of Founder effect, Haplotype, Genomics, Quantitative trait locus and Domestication.
His Quantitative trait locus research incorporates elements of Population stratification and Candidate gene.
He works mostly in the field of Selection, limiting it down to topics relating to Population genetics and, in certain cases, Identification and Contrast.
His Single-nucleotide polymorphism study combines topics in areas such as Sampling bias, Genetic distance, Genetic diversity, Fixation index and Allele frequency.
His research in Allele frequency tackles topics such as Statistics which are related to areas like Heritability and Phenotypic trait.
Between 2015 and 2021, his most popular works were:
- Efficiency of different strategies to mitigate ascertainment bias when using SNP panels in diversity studies. (44 citations)
- Epistasis and covariance: how gene interaction translates into genomic relationship. (36 citations)
- Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE) (33 citations)
In his most recent research, the most cited papers focused on:
Henner Simianer mainly investigates Genetics, Evolutionary biology, Selection, Haplotype and Single-nucleotide polymorphism.
Gene, Gene interaction, Allele, Genetic variation and Gene expression are among the areas of Genetics where he concentrates his study.
Henner Simianer interconnects Adaptation, Ecological selection, Animal breeding and Runs of Homozygosity in the investigation of issues within Evolutionary biology.
His Selection research is multidisciplinary, incorporating perspectives in Genetic correlation, Computational biology and Longevity.
Henner Simianer combines subjects such as Indigenous, Livestock, Ecology, Quantitative trait locus and Candidate gene with his study of Haplotype.
His Single-nucleotide polymorphism research integrates issues from Sampling bias, Genome, Whole genome sequencing and Best linear unbiased prediction.
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