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
Genetics and Molecular Biology D-index 54 Citations 10,452 162 World Ranking 3102 National Ranking 1484

Research.com Recognitions

Awards & Achievements

2007 - The Rockefeller Prentice Memorial Award in Animal Breeding and Genetics, American Society of Animal Science

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Statistics

His scientific interests lie mostly in Genetics, Quantitative trait locus, Dairy cattle, Animal science and Heritability. His study in Genetics is interdisciplinary in nature, drawing from both Statistics, Selection and Bayes' theorem. The various areas that Jack C. M. Dekkers examines in his Selection study include Biotechnology, Computational biology, Marker-assisted selection and Sire.

Jack C. M. Dekkers interconnects Linkage disequilibrium, Genetic marker, Allele, Inclusive composite interval mapping and Family-based QTL mapping in the investigation of issues within Quantitative trait locus. His Dairy cattle research is multidisciplinary, incorporating elements of Veterinary medicine, Culling, Herd and Mastitis, Udder. His work in the fields of Animal science, such as Marbled meat, Loin and Dry matter, intersects with other areas such as Energy balance.

His most cited work include:

  • The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values (865 citations)
  • The use of molecular genetics in the improvement of agricultural populations. (551 citations)
  • Commercial application of marker- and gene-assisted selection in livestock: Strategies and lessons (537 citations)

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

Jack C. M. Dekkers spends much of his time researching Genetics, Animal science, Quantitative trait locus, Selection and Residual feed intake. His Genetics study is mostly concerned with Single-nucleotide polymorphism, Genotype, Genetic variation, Linkage disequilibrium and Allele. His Animal science research incorporates themes from Feed conversion ratio and Heritability.

His Heritability study combines topics in areas such as Veterinary medicine, Statistics, Genetic correlation and Sire. He has researched Quantitative trait locus in several fields, including Evolutionary biology, Genome-wide association study, Genetic marker, Inclusive composite interval mapping and Family-based QTL mapping. His Residual feed intake research includes elements of Food science and Loin.

He most often published in these fields:

  • Genetics (30.38%)
  • Animal science (22.22%)
  • Quantitative trait locus (22.40%)

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

  • Genetics (30.38%)
  • Animal science (22.22%)
  • Virology (10.42%)

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

Genetics, Animal science, Virology, Residual feed intake and Quantitative trait locus are his primary areas of study. Genetic marker and Strain are subfields of Genetics in which his conducts study. Many of his studies on Animal science involve topics that are commonly interrelated, such as Selection.

His studies deal with areas such as Loin and Lawsonia intracellularis as well as Residual feed intake. His Quantitative trait locus research focuses on Single-nucleotide polymorphism and how it relates to Genetic variation and Haplotype. His study focuses on the intersection of Genetic variation and fields such as Heritability with connections in the field of Genetic correlation and Statistics.

Between 2015 and 2021, his most popular works were:

  • Genome-Wide Association Study Singles Out SCD and LEPR as the Two Main Loci Influencing Intramuscular Fat Content and Fatty Acid Composition in Duroc Pigs (43 citations)
  • Novel Mechanisms Revealed in the Trachea Transcriptome of Resistant and Susceptible Chicken Lines following Infection with Newcastle Disease Virus (33 citations)
  • Application of Whole-Genome Prediction Methods for Genome-Wide Association Studies: A Bayesian Approach (31 citations)

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

The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values

D. Habier;R. L. Fernando;J. C. M. Dekkers.
Genetics (2007)

1100 Citations

Commercial application of marker- and gene-assisted selection in livestock: Strategies and lessons

J. C. M. Dekkers.
Journal of Animal Science (2004)

960 Citations

The use of molecular genetics in the improvement of agricultural populations.

Jack C. M. Dekkers.
Nature Reviews Genetics (2002)

784 Citations

Alteration in immune responsiveness during the peripartum period and its ramification on dairy cow and calf health

B A Mallard;J C Dekkers;M J Ireland;K E Leslie.
Journal of Dairy Science (1998)

619 Citations

Correlations among selected pork quality traits

Elisabeth J. Huff-Lonergan;Thomas J. Baas;Massoud Malek;Jack C. M. Dekkers.
Journal of Animal Science (2002)

477 Citations

Relationships Between Energy Balance and Health Traits of Dairy Cattle in Early Lactation

B.L. Collard;P.J. Boettcher;J.C.M. Dekkers;D. Petitclerc.
Journal of Dairy Science (2000)

458 Citations

A molecular genome scan analysis to identify chromosomal regions influencing economic traits in the pig. II. Meat and muscle composition

Massoud Malek;Jack C.M. Dekkers;Hakkyo K. Lee;Thomas J. Baas.
Mammalian Genome (2001)

391 Citations

Factors Affecting Accuracy From Genomic Selection in Populations Derived From Multiple Inbred Lines: A Barley Case Study

Shengqiang Zhong;Jack C.M. Dekkers;Rohan Luigi Fernando;Jean-Luc Jannink.
Genetics (2009)

371 Citations

Genomic Selection Using Low-Density Marker Panels

David Habier;David Habier;Rohan L. Fernando;Jack C. M. Dekkers.
Genetics (2009)

350 Citations

Genetic Evaluation of Dairy Cattle Using Test Day Yields and Random Regression Model

J. Jamrozik;L.R. Schaeffer;J.C.M. Dekkers.
Journal of Dairy Science (1997)

347 Citations

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