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 58 Citations 12,972 213 World Ranking 6020 National Ranking 2828

Research.com Recognitions

Awards & Achievements

2008 - The Rockefeller Prentice Memorial Award in Animal Breeding and Genetics, American Society of Animal Science

2002 - J. L. Lush Award in Animal Breeding, American Dairy Science Association

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Genetics
  • Gene

Ignacy Misztal mainly focuses on Statistics, Animal science, Genetics, Sire and Matrix. His study in Statistics is interdisciplinary in nature, drawing from both Correlation and Beef cattle. His Animal science study combines topics from a wide range of disciplines, such as Repeatability and Heritability.

His Heritability study combines topics in areas such as Linear model and Genetic correlation. The concepts of his Genetics study are interwoven with issues in Best linear unbiased prediction and Selection. His Matrix research is multidisciplinary, relying on both Algorithm, Computation, Minor allele frequency and Mixed model.

His most cited work include:

  • Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. (680 citations)
  • BLUPF90 and related programs (BGF90) (541 citations)
  • A relationship matrix including full pedigree and genomic information (480 citations)

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

Ignacy Misztal mostly deals with Statistics, Animal science, Heritability, Best linear unbiased prediction and Genetics. His Statistics research includes themes of Trait, Sire and Beef cattle. His Beef cattle research is multidisciplinary, incorporating perspectives in Regression analysis and Birth weight.

His work on Herd, Crossbreed, Purebred and Dairy cattle is typically connected to Random effects model as part of general Animal science study, connecting several disciplines of science. As a part of the same scientific study, Ignacy Misztal usually deals with the Heritability, concentrating on Genetic correlation and frequently concerns with Insemination. His study looks at the intersection of Best linear unbiased prediction and topics like Quantitative trait locus with Genetic association.

He most often published in these fields:

  • Statistics (35.31%)
  • Animal science (27.12%)
  • Heritability (21.47%)

What were the highlights of his more recent work (between 2017-2021)?

  • Best linear unbiased prediction (20.90%)
  • Statistics (35.31%)
  • Single step (10.73%)

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

His main research concerns Best linear unbiased prediction, Statistics, Single step, Heritability and Computational biology. His work deals with themes such as SNP, Single-nucleotide polymorphism, Dairy cattle, Animal science and Purebred, which intersect with Best linear unbiased prediction. His Animal science study integrates concerns from other disciplines, such as Pedigree information and Sampling variance.

Ignacy Misztal combines subjects such as Trait and Pedigree chart with his study of Statistics. Ignacy Misztal interconnects Genetic correlation, Selection and Threshold model in the investigation of issues within Heritability. His work carried out in the field of Computational biology brings together such families of science as Genomic selection, Effective population size and Genomic information.

Between 2017 and 2021, his most popular works were:

  • Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle (26 citations)
  • Development of genomic predictions for harvest and carcass weight in channel catfish (22 citations)
  • Differing genetic trend estimates from traditional and genomic evaluations of genotyped animals as evidence of preselection bias in US Holsteins. (18 citations)

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

  • Statistics
  • Genetics
  • Gene

His primary areas of study are Best linear unbiased prediction, Statistics, Heritability, Single-nucleotide polymorphism and SNP. Ignacy Misztal has included themes like Effective population size, Dairy cattle, Animal science, Purebred and Genetic association in his Best linear unbiased prediction study. His Statistics research focuses on Pedigree chart and how it relates to Linear regression.

His research integrates issues of Trait, Genetic correlation and Selection in his study of Heritability. In his research, Breed is intimately related to Quantitative trait locus, which falls under the overarching field of Single-nucleotide polymorphism. The study incorporates disciplines such as SNP genotyping and Computational biology in addition to SNP.

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

BLUPF90 and related programs (BGF90)

I. Misztal;S. Tsuruta;T. Strabel;B. Auvray.
Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, Montpellier, France, August, 2002. Session 28. (2002)

1098 Citations

Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.

I. Aguilar;I. Misztal;D.L. Johnson;Andres Legarra.
Journal of Dairy Science (2010)

1000 Citations

A relationship matrix including full pedigree and genomic information

A. Legarra;I. Aguilar;I. Misztal.
Journal of Dairy Science (2009)

637 Citations

Temperature-Humidity Indices as Indicators of Milk Production Losses due to Heat Stress

J. Bohmanova;I. Misztal;J.B. Cole.
Journal of Dairy Science (2007)

633 Citations

Genetic Component of Heat Stress in Dairy Cattle, Development of Heat Index Function.

O. Ravagnolo;I. Misztal;G. Hoogenboom.
Journal of Dairy Science (2000)

475 Citations

Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information

I. Misztal;Andres Legarra;Ignacio Aguilar.
Journal of Dairy Science (2009)

472 Citations

Genetic Component of Heat Stress in Dairy Cattle, Parameter Estimation

O. Ravagnolo;I. Misztal.
Journal of Dairy Science (2000)

414 Citations

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

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

339 Citations

Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information.

Selma Forni;Ignacio Aguilar;Ignacy Misztal.
Genetics Selection Evolution (2011)

289 Citations

Bias in genomic predictions for populations under selection.

Z. G. Vitezica;I. Aguilar;I. Misztal;A. Legarra.
Genetics Research (2011)

284 Citations

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