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 51 Citations 12,728 106 World Ranking 3515 National Ranking 1681

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Statistics

Jean-Luc Jannink focuses on Genetics, Quantitative trait locus, Plant breeding, Biotechnology and Selection. The concepts of his Genetics study are interwoven with issues in Trait and Computational biology. His studies deal with areas such as Genetic marker, Regression analysis, Linkage disequilibrium and Bayes' theorem as well as Quantitative trait locus.

His research in Plant breeding intersects with topics in Genetic gain and Genetic diversity. His Selection research is multidisciplinary, relying on both Evolutionary biology, Genomics and Genomic selection. His Imputation research incorporates elements of Genome and Reference genome.

His most cited work include:

  • Development of High-Density Genetic Maps for Barley and Wheat Using a Novel Two-Enzyme Genotyping-by-Sequencing Approach (1060 citations)
  • Development of High-Density Genetic Maps for Barley and Wheat Using a Novel Two-Enzyme Genotyping-by-Sequencing Approach (1060 citations)
  • Genomic Selection for Crop Improvement (992 citations)

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

His main research concerns Genetics, Quantitative trait locus, Biotechnology, Selection and Agronomy. His Quantitative trait locus study integrates concerns from other disciplines, such as Germplasm, Genetic association, Breeding program, Computational biology and Family-based QTL mapping. His work carried out in the field of Computational biology brings together such families of science as Trait and Genome.

The various areas that he examines in his Biotechnology study include Agriculture, Regression and Plant breeding. His Selection study combines topics in areas such as Genetic variation and Genomic selection. In his research, Gene mapping is intimately related to Genomics, which falls under the overarching field of Genome-wide association study.

He most often published in these fields:

  • Genetics (48.11%)
  • Quantitative trait locus (29.17%)
  • Biotechnology (23.11%)

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

  • Genetics (48.11%)
  • Genetic variation (18.18%)
  • Computational biology (17.80%)

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

His primary areas of study are Genetics, Genetic variation, Computational biology, Heritability and Germplasm. He is involved in the study of Genetics that focuses on Allele in particular. The study incorporates disciplines such as Evolutionary biology and Epistasis in addition to Genetic variation.

His work deals with themes such as Best linear unbiased prediction, Population structure and Genomics, which intersect with Computational biology. His study in Heritability is interdisciplinary in nature, drawing from both Genetic gain and Reference genome. His study focuses on the intersection of Biotechnology and fields such as GenBank with connections in the field of Single-nucleotide polymorphism.

Between 2018 and 2021, his most popular works were:

  • High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage. (26 citations)
  • High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage. (26 citations)
  • GrainGenes: centralized small grain resources and digital platform for geneticists and breeders. (14 citations)

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

  • Gene
  • Statistics
  • Genetics

His primary areas of investigation include Epistasis, Genetic variation, Genome, Agronomy and Evolutionary biology. His Epistasis research integrates issues from Chromosome and Haplotype. His Genetic variation research is multidisciplinary, incorporating perspectives in In silico, Intraspecific competition, Gene–environment interaction and Genomics.

His research investigates the connection between Wheat grain and topics such as Genomic selection that intersect with problems in Quantitative trait locus. His Gene study results in a more complete grasp of Genetics. His Genetics research focuses on Genetic load and how it relates to Plant breeding.

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

Development of High-Density Genetic Maps for Barley and Wheat Using a Novel Two-Enzyme Genotyping-by-Sequencing Approach

Jesse A. Poland;Jesse A. Poland;Patrick J. Brown;Mark E. Sorrells;Jean Luc Jannink;Jean Luc Jannink.
PLOS ONE (2012)

1401 Citations

Genomic Selection for Crop Improvement

Elliot L. Heffner;Mark E. Sorrells;Jean-Luc Jannink.
Crop Science (2009)

1268 Citations

Genomic selection in plant breeding: from theory to practice.

Jean Luc Jannink;Aaron J. Lorenz;Hiroyoshi Iwata.
Briefings in Functional Genomics (2010)

924 Citations

Genomic Selection in Wheat Breeding using Genotyping-by-Sequencing

Jesse A. Poland;Jeffrey Endelman;Julie Dawson;Jessica Rutkoski.
The Plant Genome (2012)

540 Citations

Genomic Selection in Plant Breeding: A Comparison of Models

Nicolas Heslot;Nicolas Heslot;Hsiao-Pei Yang;Mark E. Sorrells;Jean-Luc Jannink.
Crop Science (2012)

505 Citations

Plant Breeding with Genomic Selection: Gain per Unit Time and Cost

Elliot L. Heffner;Aaron J. Lorenz;Jean Luc Jannink;Mark E. Sorrells.
Crop Science (2010)

473 Citations

Genomic Selection in Plant Breeding. Knowledge and Prospects.

Aaron J. Lorenz;Shiaoman Chao;Franco G. Asoro;Elliot L. Heffner.
Advances in Agronomy (2011)

426 Citations

Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines.

Jennifer Spindel;Hasina Begum;Deniz Akdemir;Parminder Virk.
PLOS Genetics (2015)

426 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 Accuracy using Multifamily Prediction Models in a Wheat Breeding Program

Elliot L. Heffner;Jean-Luc Jannink;Mark E. Sorrells.
The Plant Genome (2011)

327 Citations

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