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
Biology and Biochemistry D-index 47 Citations 10,291 154 World Ranking 11795 National Ranking 5073

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

His primary scientific interests are in Genetics, Quantitative trait locus, Genetic linkage, Andrology and Gene. His work in Allele frequency, Genetic architecture, Allele, Human genetics and Genotype is related to Genetics. As part of one scientific family, Daniel Pomp deals mainly with the area of Human genetics, narrowing it down to issues related to the Coexpression network, and often Disease and Computational biology.

The concepts of his Quantitative trait locus study are interwoven with issues in Gut flora, Genetic diversity, Phenotype, Expression quantitative trait loci and Family-based QTL mapping. His Genetic linkage research is multidisciplinary, incorporating perspectives in Pyrosequencing, Synteny and Bovine genome. His Andrology study integrates concerns from other disciplines, such as Reverse transcription polymerase chain reaction, Leukemia inhibitory factor receptor, Leukemia inhibitory factor, Aromatase and Conceptus.

His most cited work include:

  • Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors (853 citations)
  • The Collaborative Cross, a community resource for the genetic analysis of complex traits (852 citations)
  • The genome architecture of the collaborative cross mouse genetic reference population (360 citations)

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

Genetics, Quantitative trait locus, Internal medicine, Gene and Endocrinology are his primary areas of study. Genetic architecture, Genetic linkage, Gene mapping, Inbred strain and Genetic variation are among the areas of Genetics where the researcher is concentrating his efforts. His Genetic architecture research incorporates elements of Pleiotropy, Polygene and Single-nucleotide polymorphism.

The Genetic linkage study combines topics in areas such as Chromosome 4, Chromosome and Human genetics. His study on Quantitative trait locus also encompasses disciplines like

  • Candidate gene which intersects with area such as Haplotype,
  • Expression quantitative trait loci which connect with Computational biology. The Endocrinology study which covers Gene expression that intersects with Conceptus.

He most often published in these fields:

  • Genetics (60.71%)
  • Quantitative trait locus (35.20%)
  • Internal medicine (21.43%)

What were the highlights of his more recent work (between 2012-2020)?

  • Genetics (60.71%)
  • Quantitative trait locus (35.20%)
  • Internal medicine (21.43%)

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

Daniel Pomp spends much of his time researching Genetics, Quantitative trait locus, Internal medicine, Evolutionary biology and Allele. Genetics is a component of his Inbred strain, Haplotype, Single-nucleotide polymorphism, Phenotype and Transcriptional analysis studies. The Genetic architecture research he does as part of his general Quantitative trait locus study is frequently linked to other disciplines of science, such as Trait, therefore creating a link between diverse domains of science.

His Genetic architecture study combines topics in areas such as Expression quantitative trait loci and Genomics. His Internal medicine research is multidisciplinary, relying on both Endocrinology and Cardiology. His work carried out in the field of Evolutionary biology brings together such families of science as Selfish Genes, Genetic drift and Fixation.

Between 2012 and 2020, his most popular works were:

  • Quantitative trait locus mapping methods for diversity outbred mice (118 citations)
  • Host genetics and diet, but not immunoglobulin A expression, converge to shape compositional features of the gut microbiome in an advanced intercross population of mice. (82 citations)
  • A multi-megabase copy number gain causes maternal transmission ratio distortion on mouse chromosome 2. (59 citations)

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

  • Gene
  • Genetics
  • Internal medicine

Daniel Pomp mainly focuses on Genetics, Quantitative trait locus, Haplotype, Allele and Genetic architecture. His research in Genetics intersects with topics in Molecular biology and Energy metabolism. Daniel Pomp connects Quantitative trait locus with Trait in his study.

In his study, Mendelian inheritance, Inheritance Patterns, Chromosome and Mutation is inextricably linked to Inbred strain, which falls within the broad field of Haplotype. His studies deal with areas such as Myosin, Single-nucleotide polymorphism, Locus and Skeletal muscle as well as Allele. His research integrates issues of Genome-wide association study, Bioinformatics and Genomics in his study of Genetic architecture.

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

Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors

Andrew K. Benson;Scott A. Kelly;Ryan Legge;Fangrui Ma.
Proceedings of the National Academy of Sciences of the United States of America (2010)

1140 Citations

The Collaborative Cross, a community resource for the genetic analysis of complex traits

Gary A. Churchill;David C. Airey;Hooman Allayee;Joe M. Angel.
Nature Genetics (2004)

974 Citations

The genome architecture of the collaborative cross mouse genetic reference population

Fuad A. Iraqi;Mustafa Mahajne;Yasser Salaymah;Hani Sandovski.
Genetics (2012)

551 Citations

A medium density genetic linkage map of the bovine genome

W. Barendse;D. Vaiman;S. J. Kemp;Y. Sugimoto.
Mammalian Genome (1997)

479 Citations

The nature and identification of quantitative trait loci: a community's view.

Oduola Abiola;Joe M. Angel;Philip Avner;Alexander A. Bachmanov.
Nature Reviews Genetics (2003)

472 Citations

Genetic analysis of complex traits in the emerging Collaborative Cross

David L. Aylor;William Valdar;Wendy Foulds-Mathes;Ryan J. Buus.
Genome Research (2011)

363 Citations

CANDIDATE GENE ANALYSIS FOR LOCI AFFECTING LITTER SIZE AND OVULATION RATE IN SWINE

R. C. Linville;Daniel Pomp;R. K. Johnson;Max F. Rothschild.
Journal of Animal Science (2001)

281 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)

233 Citations

Collateral density, remodeling, and VEGF-A expression differ widely between mouse strains

Dan Chalothorn;Jason A. Clayton;Hua Zhang;Daniel Pomp.
Physiological Genomics (2007)

219 Citations

Bayesian Model Selection for Genome-Wide Epistatic Quantitative Trait Loci Analysis

Nengjun Yi;Brian S. Yandell;Gary A. Churchill;David B. Allison.
Genetics (2005)

190 Citations

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