D-Index & Metrics Best Publications

D-Index & Metrics

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
Biology and Biochemistry D-index 44 Citations 7,657 129 World Ranking 13796 National Ranking 5838

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

William M. Muir mainly focuses on Genetics, Selection, Best linear unbiased prediction, Single-nucleotide polymorphism and Biotechnology. His Selection research is multidisciplinary, incorporating perspectives in Animal science, Kin selection and Inheritance. His Sire study in the realm of Animal science connects with subjects such as Third generation and Cage.

His Best linear unbiased prediction research incorporates themes from SNP, Statistics, Quantitative trait locus and Heritability. His Single-nucleotide polymorphism study which covers Genotyping that intersects with Mixed model. He has included themes like Risk analysis and Animal breeding in his Biotechnology study.

His most cited work include:

  • Multilevel Selection 1: Quantitative Genetics of Inheritance and Response to Selection (259 citations)
  • Genome-wide association mapping including phenotypes from relatives without genotypes. (258 citations)
  • Group selection for adaptation to multiple-hen cages: selection program and direct responses (243 citations)

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

His scientific interests lie mostly in Genetics, Selection, Gene, Statistics and Animal science. His Genetics and Single-nucleotide polymorphism, Allele, Allele frequency, Genome and Genetic architecture investigations all form part of his Genetics research activities. His Single-nucleotide polymorphism study integrates concerns from other disciplines, such as Genetic marker and Marek's disease.

The study incorporates disciplines such as Kin selection and Biotechnology in addition to Selection. His work is dedicated to discovering how Statistics, Heritability are connected with Mixed model and other disciplines. His Animal science study incorporates themes from Body weight, Feed conversion ratio, Feather and Genetic stock.

He most often published in these fields:

  • Genetics (39.64%)
  • Selection (18.34%)
  • Gene (19.53%)

What were the highlights of his more recent work (between 2010-2019)?

  • Genetics (39.64%)
  • Gene (19.53%)
  • Selection (18.34%)

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

His primary scientific interests are in Genetics, Gene, Selection, Single-nucleotide polymorphism and Allele. His study on Genetics is mostly dedicated to connecting different topics, such as Best linear unbiased prediction. The concepts of his Selection study are interwoven with issues in Quantitative genetics, Statistics, Biotechnology and Inbreeding.

His Statistics research incorporates elements of Ecology and Heritability. He interconnects Genetic marker and Allelic Imbalance in the investigation of issues within Single-nucleotide polymorphism. His Genome-wide association study research includes elements of Association mapping and Genetic association.

Between 2010 and 2019, his most popular works were:

  • Genome-wide association mapping including phenotypes from relatives without genotypes. (258 citations)
  • The development and characterization of a 60K SNP chip for chicken (168 citations)
  • The CHD3 Remodeler PICKLE Associates with Genes Enriched for Trimethylation of Histone H3 Lysine 27 (118 citations)

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

  • Gene
  • Genetics
  • Internal medicine

William M. Muir mainly investigates Genetics, Selection, Quantitative trait locus, Genome-wide association study and Best linear unbiased prediction. His research in Single-nucleotide polymorphism, Allele, Minor allele frequency, Gene and Phenotype are components of Genetics. His research integrates issues of Statistics, Biotechnology, Inbreeding and Competition in his study of Selection.

His study focuses on the intersection of Quantitative trait locus and fields such as Genetic marker with connections in the field of Data set and Bayes' theorem. His Genome-wide association study study combines topics in areas such as Population stratification, Association mapping, Data mining and Genetic association. The Best linear unbiased prediction study which covers SNP that intersects with Genetic variation.

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

Group selection for adaptation to multiple-hen cages: selection program and direct responses

W. M. Muir.
Poultry Science (1996)

367 Citations

Possible ecological risks of transgenic organism release when transgenes affect mating success: sexual selection and the Trojan gene hypothesis.

William M. Muir;Richard D. Howard.
Proceedings of the National Academy of Sciences of the United States of America (1999)

347 Citations

Comparison of genomic and traditional BLUP‐estimated breeding value accuracy and selection response under alternative trait and genomic parameters

W.M. Muir.
Journal of Animal Breeding and Genetics (2007)

346 Citations

Genome-wide association mapping including phenotypes from relatives without genotypes.

H. Wang;I. Misztal;I. Aguilar;A. Legarra.
Genetics Research (2012)

339 Citations

Multilevel Selection 1: Quantitative Genetics of Inheritance and Response to Selection

Piter Bijma;William M. Muir;Johan A. M. Van Arendonk.
Genetics (2007)

338 Citations

Incorporation of Competitive Effects in Forest Tree or Animal Breeding Programs

William M Muir.
Genetics (2005)

305 Citations

A high-density SNP-based linkage map of the chicken genome reveals sequence features correlated with recombination rate.

Martien A.M. Groenen;Per Wahlberg;Mario Foglio;Hans H. Cheng.
Genome Research (2008)

275 Citations

Genome-wide assessment of worldwide chicken SNP genetic diversity indicates significant absence of rare alleles in commercial breeds

William M. Muir;Gane Ka-Shu Wong;Yong Zhang;Jun Wang.
Proceedings of the National Academy of Sciences of the United States of America (2008)

260 Citations

Multilevel Selection 2: Estimating the Genetic Parameters Determining Inheritance and Response to Selection

Piter Bijma;William M. Muir;Esther D. Ellen;Jason B. Wolf.
Genetics (2007)

233 Citations

The development and characterization of a 60K SNP chip for chicken

Martien A.M. Groenen;Hendrik Jan Megens;Yalda Zare;Wesley C. Warren.
BMC Genomics (2011)

224 Citations

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