What is he best known for?
The fields of study he is best known for:
Genetics, Evolutionary biology, Inbreeding, Inbreeding depression and Microsatellite are his primary areas of study.
His research ties Soay sheep and Genetics together.
His Evolutionary biology study incorporates themes from Population genetics, Genetic diversity, Genome, Quantitative trait locus and Genetic variation.
His work carried out in the field of Genetic variation brings together such families of science as Genomics and Genetic architecture.
His Inbreeding depression research is multidisciplinary, incorporating perspectives in Loss of heterozygosity and Outbreeding depression.
His Microsatellite study integrates concerns from other disciplines, such as Genetic marker and Genotype.
His most cited work include:
- Statistical confidence for likelihood-based paternity inference in natural populations (3602 citations)
- The genome of a songbird (680 citations)
- Nonamplifying alleles at microsatellite loci: a caution for parentage and population studies. (635 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Evolutionary biology, Quantitative trait locus, Genetic variation and Microsatellite.
Genetics connects with themes related to Soay sheep in his study.
In his articles, Jon Slate combines various disciplines, including Evolutionary biology and Trait.
His work in Quantitative trait locus addresses issues such as Family-based QTL mapping, which are connected to fields such as Association mapping.
The concepts of his Genetic variation study are interwoven with issues in Genetic variability, Allele and Genetic diversity.
His study looks at the relationship between Microsatellite and topics such as Single-nucleotide polymorphism, which overlap with Computational biology.
He most often published in these fields:
- Genetics (66.45%)
- Evolutionary biology (49.34%)
- Quantitative trait locus (23.03%)
What were the highlights of his more recent work (between 2015-2021)?
- Evolutionary biology (49.34%)
- Genetic architecture (15.13%)
- Natural selection (9.87%)
In recent papers he was focusing on the following fields of study:
Jon Slate focuses on Evolutionary biology, Genetic architecture, Natural selection, Genetics and Parus.
His studies deal with areas such as Quantitative genetics, Genome, Reference genome, Quantitative trait locus and Genetic association as well as Evolutionary biology.
In his research on the topic of Quantitative trait locus, Heritability is strongly related with Soay sheep.
His Genetic architecture research is multidisciplinary, relying on both Adaptation, Genome-wide association study and Genetic variation.
Jon Slate combines subjects such as Nucleotide diversity, Genetic drift, Reproductive success and Candidate gene with his study of Natural selection.
His research combines Population genetics and Genetics.
Between 2015 and 2021, his most popular works were:
- A supergene determines highly divergent male reproductive morphs in the ruff (254 citations)
- Evolutionary signals of selection on cognition from the great tit genome and methylome (128 citations)
- Red Carotenoid Coloration in the Zebra Finch Is Controlled by a Cytochrome P450 Gene Cluster (113 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Genetics, Evolutionary biology, Genetic architecture, Natural selection and Genetic variation.
His Genetics research integrates issues from Carotenoid and Beak.
His biological study spans a wide range of topics, including DNA methylation, Genome, Philomachus pugnax and Supergene.
His work deals with themes such as Effective population size, Passerine, Negative selection, Nucleotide diversity and Candidate gene, which intersect with Natural selection.
His research in Genetic variation intersects with topics in Heterogametic sex, Sperm, Sperm motility, Sperm competition and Adaptation.
His Haplotype research incorporates themes from Natural population growth, Soay sheep, Locus and Heritability.
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