What is he best known for?
The fields of study he is best known for:
Kenneth K. Kidd focuses on Genetics, Allele frequency, Locus, Allele and Haplotype.
His Genetics study frequently draws connections between related disciplines such as Population genetics.
His study looks at the intersection of Allele frequency and topics like Single-nucleotide polymorphism with Context and Selection.
His Locus study also includes fields such as
- Genetic marker which intersects with area such as Disease,
- Restriction fragment length polymorphism, which have a strong connection to Chromosome and DNA.
His Allele study incorporates themes from Genotype and Age of onset.
As a part of the same scientific study, Kenneth K. Kidd usually deals with the Linkage disequilibrium, concentrating on Genetic association and frequently concerns with Genetic drift and Linkage.
His most cited work include:
- Genetic Structure of Human Populations (2253 citations)
- Genetic variation in IL28B and spontaneous clearance of hepatitis C virus (1818 citations)
- A Human Genome Diversity Cell Line Panel (849 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genetics, Gene, Locus, Allele and Haplotype.
His study in Allele frequency, Genetic linkage, DNA, Genetic marker and Gene mapping is carried out as part of his Genetics studies.
His work carried out in the field of Genetic linkage brings together such families of science as Chromosome and Linkage.
His work focuses on many connections between Locus and other disciplines, such as Restriction fragment length polymorphism, that overlap with his field of interest in Molecular biology.
His work on Allele is being expanded to include thematically relevant topics such as Genotype.
Kenneth K. Kidd focuses mostly in the field of Haplotype, narrowing it down to topics relating to Single-nucleotide polymorphism and, in certain cases, Evolutionary biology.
He most often published in these fields:
- Genetics (62.88%)
- Gene (20.00%)
- Locus (20.00%)
What were the highlights of his more recent work (between 2006-2021)?
- Genetics (62.88%)
- Single-nucleotide polymorphism (11.97%)
- Haplotype (15.76%)
In recent papers he was focusing on the following fields of study:
His main research concerns Genetics, Single-nucleotide polymorphism, Haplotype, Allele and Allele frequency.
Genetics and Population genetics are commonly linked in his work.
His Single-nucleotide polymorphism research is multidisciplinary, relying on both Evolutionary biology, Computational biology and Massive parallel sequencing.
His Haplotype research includes themes of Genetic marker, Human genome and Polymorphism.
Kenneth K. Kidd has researched Allele in several fields, including Genetic drift, Natural selection, Locus and East Asia.
His research in Allele frequency intersects with topics in Reference population and Statistics.
Between 2006 and 2021, his most popular works were:
- Genetic variation in IL28B and spontaneous clearance of hepatitis C virus (1818 citations)
- Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma. (841 citations)
- A SNP in a let-7 microRNA Complementary Site in the KRAS 3′ Untranslated Region Increases Non–Small Cell Lung Cancer Risk (553 citations)
In his most recent research, the most cited papers focused on:
Kenneth K. Kidd mainly investigates Genetics, Allele frequency, Single-nucleotide polymorphism, Allele and Haplotype.
His Genetics research integrates issues from Evolutionary biology and Population genetics.
His work investigates the relationship between Allele frequency and topics such as Polymorphism that intersect with problems in PharmGKB, dbSNP and Sample.
His Single-nucleotide polymorphism study combines topics from a wide range of disciplines, such as Context, DNA sequencing, Inference and Locus.
His Allele study integrates concerns from other disciplines, such as East Asia, Frameshift mutation, Genotype and SLITRK1, Candidate gene.
He interconnects Genetic marker, Computational biology, Identification and Massive parallel sequencing in the investigation of issues within Haplotype.
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.
