What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Genome, Microsatellite, Residual feed intake and Genetic marker.
His study in Genetic linkage, Quantitative trait locus, Bovine genome, Gene mapping and Single-nucleotide polymorphism falls under the purview of Genetics.
His Bovine genome study combines topics from a wide range of disciplines, such as Synteny and Genetic variation.
His research in Genome intersects with topics in Polymerase chain reaction, Computational biology, Human genetics and Loss of heterozygosity.
The concepts of his Residual feed intake study are interwoven with issues in Animal science and Beef cattle.
His research integrates issues of Homologous chromosome and Primer in his study of Genetic marker.
His most cited work include:
- The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution (927 citations)
- Development and Characterization of a High Density SNP Genotyping Assay for Cattle (730 citations)
- Genome-wide survey of SNP variation uncovers the genetic structure of cattle breeds. (651 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Beef cattle, Quantitative trait locus, Single-nucleotide polymorphism and Gene.
Genetic marker, Genome, SNP, Microsatellite and Candidate gene are subfields of Genetics in which his conducts study.
His Genome research is multidisciplinary, relying on both Computational biology and Sequence assembly.
His Beef cattle study incorporates themes from Biotechnology, Marbled meat, Residual feed intake and Sire.
His Quantitative trait locus research incorporates themes from Linkage disequilibrium, Haplotype and Genetic association.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating elements of Genotyping, Genetic variation and Allele.
He most often published in these fields:
- Genetics (63.10%)
- Beef cattle (31.35%)
- Quantitative trait locus (28.17%)
What were the highlights of his more recent work (between 2015-2020)?
- Genetics (63.10%)
- Gene (22.62%)
- Beef cattle (31.35%)
In recent papers he was focusing on the following fields of study:
Stephen S. Moore mostly deals with Genetics, Gene, Beef cattle, Brahman and Transcriptome.
His studies in Genetic association, Genome-wide association study, Genetic variation, Single-nucleotide polymorphism and Candidate gene are all subfields of Genetics research.
His work focuses on many connections between Genetic association and other disciplines, such as Quantitative trait locus, that overlap with his field of interest in Phenotype.
His Beef cattle research includes themes of Minor allele frequency, Allele frequency, Agricultural science, Herd and Residual feed intake.
His Residual feed intake study combines topics in areas such as Genetic marker and Purebred, Crossbreed.
His study in Brahman is interdisciplinary in nature, drawing from both SNP genotyping, Statistics and Allele.
Between 2015 and 2020, his most popular works were:
- Genome-wide association for milk production and female fertility traits in Canadian dairy Holstein cattle (65 citations)
- Genome-wide association for milk production and female fertility traits in Canadian dairy Holstein cattle (65 citations)
- Human pathogens associated with the blacklegged tick Ixodes scapularis : a systematic review (65 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Genetics, Gene, Genome-wide association study, Single-nucleotide polymorphism and Dairy cattle.
In his works, Stephen S. Moore undertakes multidisciplinary study on Genetics and Trait.
In his study, Growth curve, Genetic architecture, Haplotype and Fertility is strongly linked to Genetic variation, which falls under the umbrella field of Genome-wide association study.
In Single-nucleotide polymorphism, Stephen S. Moore works on issues like Candidate gene, which are connected to Nonsynonymous substitution, Reference genome, Exon, Sequence analysis and Intron.
Stephen S. Moore has included themes like Quantitative trait locus, Phenotype, Biotechnology and Longevity in his Dairy cattle study.
His SNP research includes elements of SNP genotyping and Genotyping.
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.
