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 79 Citations 39,379 203 World Ranking 1029 National Ranking 562

Research.com Recognitions

Awards & Achievements

2019 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

Gary A. Churchill mainly focuses on Genetics, Quantitative trait locus, Inbred strain, Genetic diversity and Computational biology. Genetic marker, Allele, Genome, Genetic variation and Gene mapping are subfields of Genetics in which his conducts study. His Genetic marker research is multidisciplinary, incorporating perspectives in Genotyping, Resampling and Statistical model.

His Quantitative trait locus research incorporates themes from Hyperinsulinemia, Genomics, Expression quantitative trait loci, Family-based QTL mapping and Candidate gene. His Inbred strain research includes elements of Phenotype, Bone mineral, Bone density, Quantitative computed tomography and Internal medicine. His Computational biology research includes themes of Microarray analysis techniques and Gene expression profiling.

His most cited work include:

  • Empirical threshold values for quantitative trait mapping. (4397 citations)
  • R/qtl: QTL mapping in experimental crosses (2378 citations)
  • Analysis of Variance for Gene Expression Microarray Data (1228 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, Locus, Gene and Allele. His work in Inbred strain, Genome, Phenotype, Genetic variation and Genotype is related to Genetics. His Inbred strain study integrates concerns from other disciplines, such as Internal medicine and Genotyping.

His study focuses on the intersection of Quantitative trait locus and fields such as Family-based QTL mapping with connections in the field of Inclusive composite interval mapping. His Locus research is multidisciplinary, incorporating elements of Chromosome 4, Endocrinology and Genetic linkage. Genetic marker is closely connected to Gene mapping in his research, which is encompassed under the umbrella topic of Allele.

He most often published in these fields:

  • Genetics (60.73%)
  • Quantitative trait locus (41.39%)
  • Locus (16.62%)

What were the highlights of his more recent work (between 2015-2021)?

  • Genetics (60.73%)
  • Quantitative trait locus (41.39%)
  • Genetic variation (9.67%)

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

His main research concerns Genetics, Quantitative trait locus, Genetic variation, Computational biology and Gene. His Locus, Phenotype, Genome, Allele and Strain study are his primary interests in Genetics. The concepts of his Quantitative trait locus study are interwoven with issues in Pleiotropy and Genotyping, Association mapping, Single-nucleotide polymorphism, Genotype.

His Genotyping research integrates issues from Chromosome, Inbred strain and Haplotype. His work deals with themes such as Proteome, Genetic diversity, Epistasis, Genomics and Stem cell, which intersect with Genetic variation. His study in Computational biology is interdisciplinary in nature, drawing from both Single cell transcriptomics, Transcriptome, Proteomics, Human genetics and CpG site.

Between 2015 and 2021, his most popular works were:

  • Defining the consequences of genetic variation on a proteome-wide scale (210 citations)
  • The Mouse Universal Genotyping Array: From Substrains to Subspecies (116 citations)
  • R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations (114 citations)

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

  • Gene
  • Genetics
  • Statistics

Genetics, Genetic variation, Quantitative trait locus, Genome and Allele are his primary areas of study. His study in Genetics focuses on Genetic drift, Single-nucleotide polymorphism, Gene, RNA and RNA editing. The Genetic variation study combines topics in areas such as Meiosis, Recombination, Homologous recombination, Genetic diversity and Locus.

His Quantitative trait locus study combines topics from a wide range of disciplines, such as Phenotype, Genomics, Microbial genetics, Association mapping and Computational biology. Gary A. Churchill focuses mostly in the field of Genome, narrowing it down to topics relating to Genotyping and, in certain cases, Inbred strain. His biological study spans a wide range of topics, including Epistasis, Pleiotropy and Reference genome.

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

Empirical threshold values for quantitative trait mapping.

G A Churchill;R W Doerge.
Genetics (1994)

5754 Citations

R/qtl: QTL mapping in experimental crosses

Karl W. Broman;Hao Wu;Saunak Sen;Gary A. Churchill.
Bioinformatics (2003)

2858 Citations

A Hidden Markov Model approach to variation among sites in rate of evolution.

Joseph Felsenstein;Gary A. Churchill.
Molecular Biology and Evolution (1996)

2251 Citations

Optimizing parental selection for genetic linkage maps.

James A Anderson;G. A. Churchill;J. E. Autrique;S. D. Tanksley.
Genome (1993)

1874 Citations

Analysis of Variance for Gene Expression Microarray Data

M K Kerr;M Martin;G A Churchill.
Journal of Computational Biology (2000)

1708 Citations

Fundamentals of experimental design for cDNA microarrays.

Gary A. Churchill.
Nature Genetics (2002)

1429 Citations

Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors

Jason I Herschkowitz;Karl Simin;Victor J Weigman;Igor Mikaelian.
Genome Biology (2007)

1415 Citations

Permutation Tests for Multiple Loci Affecting a Quantitative Character

R. W. Doerge;G. A. Churchill.
Genetics (1996)

1322 Citations

Characterization of human embryonic stem cell lines by the International Stem Cell Initiative

Oluseun Adewumi;Behrouz Aflatoonian;Lars Ahrlund-Richter;Michal Amit.
Nature Biotechnology (2007)

1195 Citations

Statistical tests for differential expression in cDNA microarray experiments

Xiangqin Cui;Gary A Churchill.
Genome Biology (2003)

1122 Citations

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