D-Index & Metrics Best Publications

Gary A. Rohrer

Agricultural Research Service
United States

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 Citations Publications World Ranking National Ranking

Biology and Biochemistry D-index 42 Citations 9,639 210 World Ranking 17028 National Ranking 7008

Overview

What is he best known for?

The fields of study he is best known for:

Gene
Genetics
Genome

His primary scientific interests are in Genetics, Quantitative trait locus, Microsatellite, Chromosome and Autosome. His Genetics study typically links adjacent topics like Animal science. His work deals with themes such as Genetic marker, Ovulation and White, which intersect with Animal science.

Gary A. Rohrer combines subjects such as Litter and Genetic linkage with his study of Quantitative trait locus. Gary A. Rohrer interconnects Molecular biology and Cosmid in the investigation of issues within Autosome. In his study, SNP genotyping and Single-nucleotide polymorphism is inextricably linked to Amplicon, which falls within the broad field of Locus.

His most cited work include:

Analyses of pig genomes provide insight into porcine demography and evolution (889 citations)
Design of a High Density SNP Genotyping Assay in the Pig Using SNPs Identified and Characterized by Next Generation Sequencing Technology (634 citations)
A microsatellite linkage map of the porcine genome. (404 citations)

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

Gary A. Rohrer mainly focuses on Genetics, Gene, Quantitative trait locus, Single-nucleotide polymorphism and Animal science. His Genetics study is mostly concerned with Microsatellite, Genetic linkage, Genome, Chromosome and Gene mapping. His Genome study deals with Computational biology intersecting with Genomics.

As a member of one scientific family, Gary A. Rohrer mostly works in the field of Gene, focusing on Molecular biology and, on occasion, Fluorescence in situ hybridization and genomic DNA. The study incorporates disciplines such as Ovulation, Genome-wide association study, Allele, Genotype and Candidate gene in addition to Quantitative trait locus. His studies in Animal science integrate themes in fields like Weight gain, Birth weight and Heritability.

He most often published in these fields:

Genetics (58.70%)
Gene (25.36%)
Quantitative trait locus (24.64%)

What were the highlights of his more recent work (between 2018-2021)?

Animal science (15.94%)
Gene (25.36%)
Computational biology (10.14%)

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

His primary scientific interests are in Animal science, Gene, Computational biology, Genetics and SNP. His work in the fields of Animal science, such as Sire and Body condition, overlaps with other areas such as Infrared lamp and Individual animal. His work on Genomics, Reference genome and Genome as part of general Gene study is frequently linked to Domestic pig, therefore connecting diverse disciplines of science.

His Genetics study frequently links to other fields, such as Spermatogenesis. His study in SNP is interdisciplinary in nature, drawing from both Quantitative trait locus, Genome-wide association study and Heritability. His Quantitative trait locus research is multidisciplinary, incorporating elements of Feed conversion ratio, SNP array, Selection and Genetic association.

Between 2018 and 2021, his most popular works were:

An improved pig reference genome sequence to enable pig genetics and genomics research (33 citations)
An improved pig reference genome sequence to enable pig genetics and genomics research (17 citations)
Evaluation of genotype quality parameters for SowPro90, a new genotyping array for swine1. (3 citations)

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

Gene
Genetics
Genome

Gary A. Rohrer mostly deals with Computational biology, Gene, Genomics, Reference genome and Genome. His Computational biology research integrates issues from Breed, Purebred, Shotgun and Shotgun sequencing. His Gene study frequently intersects with other fields, such as Annotation.

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

Analyses of pig genomes provide insight into porcine demography and evolution

Martien A. M. Groenen;Alan L. Archibald;Hirohide Uenishi;Christopher K. Tuggle.
Nature (2012)

1312 Citations

Design of a High Density SNP Genotyping Assay in the Pig Using SNPs Identified and Characterized by Next Generation Sequencing Technology

António M Ramos;Richard P M A Crooijmans;Nabeel A Affara;Andreia J. Amaral.
PLOS ONE (2009)

724 Citations

A comprehensive map of the porcine genome.

Gary A. Rohrer;Leeson J. Alexander;Zhiliang Hu;Timothy P L Smith.
Genome Research (1996)

671 Citations

A microsatellite linkage map of the porcine genome.

Gary A. Rohrer;Leeson J. Alexander;John W. Keele;Tim P. Smith.
Genetics (1994)

638 Citations

Heritabilities and phenotypic and genetic correlations for bovine postrigor calpastatin activity, intramuscular fat content, Warner-Bratzler shear force, retail product yield, and growth rate

S. D. Shackelford;M. Koohmaraie;L. V. Cundiff;K. E. Gregory.
Journal of Animal Science (1994)

347 Citations

Identification of quantitative trait loci affecting carcass composition in swine: I. Fat deposition traits.

G A Rohrer;J W Keele.
Journal of Animal Science (1998)

279 Citations

Coordinated international action to accelerate genome-to-phenome with FAANG, the Functional Annotation of Animal Genomes project

Leif Andersson;Leif Andersson;Alan L. Archibald;Cynthia D. Bottema;Rudiger Brauning.
Genome Biology (2015)

261 Citations

Identification of quantitative trait loci affecting reproduction in pigs.

J. P. Cassady;R. K. Johnson;D. Pomp;G. A. Rohrer.
Journal of Animal Science (2001)

241 Citations

Identification of quantitative trait loci affecting female reproductive traits in a multigeneration Meishan-White composite swine population.

G A Rohrer;J J Ford;T H Wise;J L Vallet.
Journal of Animal Science (1999)

226 Citations

Identification of quantitative trait loci affecting birth characters and accumulation of backfat and weight in a Meishan-White Composite resource population.

G A Rohrer.
Journal of Animal Science (2000)

199 Citations

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