D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Genetics and Molecular Biology D-index 69 Citations 38,804 155 World Ranking 1603 National Ranking 183

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • DNA

His scientific interests lie mostly in Genetics, Quantitative trait locus, Genome, Gene and Genetic variation. His Genetics study frequently draws connections between related disciplines such as Computational biology. The concepts of his Computational biology study are interwoven with issues in Restriction map, Contig and Candidate gene.

His Quantitative trait locus research incorporates elements of Expression quantitative trait loci, Allele, Genetic association and Family-based QTL mapping. His Genome research incorporates themes from Arabidopsis thaliana, Arabidopsis, Model organism and Genetic diversity. His Genomics research focuses on Sequence analysis and how it relates to Synteny, Reference genome, Genome evolution and Comparative genomics.

His most cited work include:

  • A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes (6309 citations)
  • Initial sequencing and comparative analysis of the mouse genome. (5789 citations)
  • A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes. The Huntington's Disease Collaborative Research Group. (2779 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Genetics, Quantitative trait locus, Gene, Genome and Genetic variation. His studies in Haplotype, Inbred strain, Candidate gene, Locus and Allele are all subfields of Genetics research. His Haplotype study combines topics in areas such as Genotyping, Single-nucleotide polymorphism and Genetic marker.

The various areas that Richard Mott examines in his Quantitative trait locus study include Phenotype, Genome-wide association study, Genetic association and Heritability. In Genome-wide association study, Richard Mott works on issues like Imputation, which are connected to Whole genome sequencing and Evolutionary biology. In his research on the topic of Genome, DNA is strongly related with Computational biology.

He most often published in these fields:

  • Genetics (69.82%)
  • Quantitative trait locus (34.68%)
  • Gene (21.62%)

What were the highlights of his more recent work (between 2017-2021)?

  • Quantitative trait locus (34.68%)
  • Genetics (69.82%)
  • Candidate gene (13.96%)

In recent papers he was focusing on the following fields of study:

Richard Mott mostly deals with Quantitative trait locus, Genetics, Candidate gene, Genome-wide association study and Haplotype. Richard Mott has researched Quantitative trait locus in several fields, including Evolutionary biology, Heritability and Endocrinology. His Genetics study frequently involves adjacent topics like Confounding.

His studies in Candidate gene integrate themes in fields like Chromosome, Cystic fibrosis and Immunology. His research investigates the connection with Genome-wide association study and areas like Genetic association which intersect with concerns in Computational biology, World Wide Web, Visualization and Periodontitis. His study looks at the relationship between Haplotype and fields such as Genome, as well as how they intersect with chemical problems.

Between 2017 and 2021, his most popular works were:

  • Sixteen diverse laboratory mouse reference genomes define strain-specific haplotypes and novel functional loci (77 citations)
  • Genetic Fine-Mapping and Identification of Candidate Genes and Variants for Adiposity Traits in Outbred Rats. (33 citations)
  • Genome-wide sexually antagonistic variants reveal long-standing constraints on sexual dimorphism in fruit flies (30 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • DNA
  • Genetics

Richard Mott focuses on Quantitative trait locus, Genetics, Candidate gene, Evolutionary biology and Genome-wide association study. His research in Quantitative trait locus intersects with topics in Quantitative genetics, Autism, Autism spectrum disorder and Heritability. Gene, Reference genome, Retrotransposon, Transposable element and Laboratory mouse are among the areas of Genetics where the researcher is concentrating his efforts.

His Candidate gene study integrates concerns from other disciplines, such as Chromosome, Serotype, Genetic variation and Allele. Richard Mott interconnects Germplasm, Genetic diversity, Genomics, Plant breeding and Gene mapping in the investigation of issues within Evolutionary biology. His Genome-wide association study study combines topics from a wide range of disciplines, such as Periodontitis, Chronic periodontitis, Aggressive periodontitis and Genetic association.

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.

Best Publications

Initial sequencing and comparative analysis of the mouse genome.

Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
Nature (2002)

8034 Citations

A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes

Marcy E. MacDonald;Christine M. Ambrose;Mabel P. Duyao;Richard H. Myers.
Cell (1993)

6057 Citations

A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes. The Huntington's Disease Collaborative Research Group.

M Shah;N Datson;L Srinidhi;VP Stanton.
Cell (1993)

3953 Citations

Mouse genomic variation and its effect on phenotypes and gene regulation

T M Keane;L Goodstadt;P Danecek;M A White.
Nature (2011)

1290 Citations

The Collaborative Cross, a community resource for the genetic analysis of complex traits

Gary A. Churchill;David C. Airey;Hooman Allayee;Joe M. Angel.
Nature Genetics (2004)

974 Citations

Recent improvements to the SMART domain-based sequence annotation resource

Ivica Letunic;Leo Goodstadt;Nicholas J. Dickens;Tobias Doerks.
Nucleic Acids Research (2002)

773 Citations

1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana

Carlos Alonso-Blanco;Jorge Andrade;Claude Becker;Felix Bemm.
Cell (2016)

686 Citations

Sparse whole-genome sequencing identifies two loci for major depressive disorder

Na Cai;Tim B. Bigdeli;Warren Kretzschmar;Yihan Li.
Nature (2015)

654 Citations

Multiple reference genomes and transcriptomes for Arabidopsis thaliana

Xiangchao Gan;Oliver Stegle;Jonas Behr;Joshua G. Steffen.
Nature (2011)

651 Citations

Strategies for mapping and cloning quantitative trait genes in rodents

Jonathan Flint;William Valdar;Sagiv Shifman;Richard Mott.
Nature Reviews Genetics (2005)

604 Citations

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