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
Genetics D-index 65 Citations 17,695 159 World Ranking 1892 National Ranking 864

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • DNA

His main research concerns Genetics, Genome, Taurine cattle, Quantitative trait locus and Single-nucleotide polymorphism. All of his Genetics and Gene, Haplotype, SNP genotyping, Sequence assembly and Linkage disequilibrium investigations are sub-components of the entire Genetics study. His work carried out in the field of Sequence assembly brings together such families of science as Breed, Domestication and Selection.

His Quantitative trait locus research is multidisciplinary, relying on both Phenotype and Reproduction. His Single-nucleotide polymorphism study combines topics in areas such as Genotyping and Allele frequency. His Synteny study combines topics from a wide range of disciplines, such as Human genome, Shotgun sequencing, Y chromosome, Gene mapping and Computational biology.

His most cited work include:

  • The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution (927 citations)
  • A whole-genome assembly of the domestic cow, Bos taurus (877 citations)
  • Development and Characterization of a High Density SNP Genotyping Assay for Cattle (730 citations)

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

Curtis P. Van Tassell spends much of his time researching Genetics, Genome, Single-nucleotide polymorphism, Gene and Haplotype. His study in Genetics concentrates on Quantitative trait locus, Copy-number variation, Genome-wide association study, SNP genotyping and SNP. His Quantitative trait locus study integrates concerns from other disciplines, such as Genetic marker, Microsatellite and Taurine cattle, Zebu.

His work investigates the relationship between Genome and topics such as Computational biology that intersect with problems in Short read, Virus and Metagenomics. Curtis P. Van Tassell interconnects Genotyping and Allele frequency in the investigation of issues within Single-nucleotide polymorphism. His study looks at the intersection of Reference genome and topics like Sequence assembly with Human genome.

He most often published in these fields:

  • Genetics (66.39%)
  • Genome (30.25%)
  • Single-nucleotide polymorphism (26.89%)

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

  • Genetics (66.39%)
  • Gene (21.01%)
  • Copy-number variation (14.29%)

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

His main research concerns Genetics, Gene, Copy-number variation, Transcriptome and Computational biology. His DNA methylation, Genome, Whole genome sequencing, SNP genotyping and SNP study are his primary interests in Genetics. His study in the field of Structural variation and Comparative genomic hybridization also crosses realms of Segmental duplication, Oxygen transport and Bubalus.

His work deals with themes such as Evolutionary biology, Inbreeding, Genotype and Runs of Homozygosity, which intersect with Copy-number variation. His biological study spans a wide range of topics, including Cell type and Genomics. The various areas that Curtis P. Van Tassell examines in his Computational biology study include RNA, Genetic gain, Gene expression and Alternative splicing.

Between 2018 and 2021, his most popular works were:

  • De novo assembly of the cattle reference genome with single-molecule sequencing. (81 citations)
  • Genome to Phenome: Improving Animal Health, Production, and Well-Being - A New USDA Blueprint for Animal Genome Research 2018-2027. (25 citations)
  • Assignment of virus and antimicrobial resistance genes to microbial hosts in a complex microbial community by combined long-read assembly and proximity ligation (23 citations)

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

  • Gene
  • Genetics
  • DNA

Curtis P. Van Tassell mainly focuses on Computational biology, Contig, Transcriptome, Epigenomics and Gene. His Computational biology research incorporates themes from Virus and Short read. His work carried out in the field of Contig brings together such families of science as Annotation, Sequence assembly, Reference genome and Metagenomics.

His Transcriptome study incorporates themes from Somatic cell, Immune system, Genetic association, Cell type and Candidate gene. Genetics and DNA methylation are the focus of his Epigenomics studies. Curtis P. Van Tassell is studying Epigenome, which is a component of Gene.

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 Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution

Christine G. Elsik;Christine G. Elsik;Christine G. Elsik;Ross L. Tellam;Kim C. Worley;Kim C. Worley;Richard A. Gibbs.
Science (2009)

1284 Citations

A whole-genome assembly of the domestic cow, Bos taurus

Aleksey V Zimin;Arthur L Delcher;Liliana Florea;David R Kelley.
Genome Biology (2009)

1247 Citations

Development and Characterization of a High Density SNP Genotyping Assay for Cattle

Lakshmi K. Matukumalli;Lakshmi K. Matukumalli;Cynthia T. Lawley;Robert D. Schnabel;Jeremy F. Taylor.
PLOS ONE (2009)

1054 Citations

Genome-Wide Survey of SNP Variation Uncovers the Genetic Structure of Cattle Breeds

Richard A. Gibbs;Jeremy F. Taylor;Curtis P. Van Tassell.
Science (2009)

933 Citations

SNP discovery and allele frequency estimation by deep sequencing of reduced representation libraries

Curtis P Van Tassell;Timothy P L Smith;Lakshmi K Matukumalli;Lakshmi K Matukumalli;Jeremy F Taylor.
Nature Methods (2008)

712 Citations

Multi-Platform Next-Generation Sequencing of the Domestic Turkey (Meleagris gallopavo): Genome Assembly and Analysis

Rami A. Dalloul;Julie A Long;Aleksey V. Zimin;Luqman Aslam.
PLOS Biology (2010)

438 Citations

Genome-wide association analysis of thirty one production, health, reproduction and body conformation traits in contemporary U.S. Holstein cows

John B Cole;George R Wiggans;Li Ma;Tad S Sonstegard.
BMC Genomics (2011)

412 Citations

Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection

Adriana García-Ruiz;John B. Cole;Paul M. VanRaden;George R. Wiggans.
Proceedings of the National Academy of Sciences of the United States of America (2016)

396 Citations

A soybean transcript map: gene distribution, haplotype and single-nucleotide polymorphism analysis.

Ik Young Choi;David L. Hyten;Lakshmi K. Matukumalli;Qijian Song.
Genetics (2007)

388 Citations

Copy number variation of individual cattle genomes using next-generation sequencing

Derek M. Bickhart;Yali Hou;Steven G. Schroeder;Can Alkan.
Genome Research (2012)

307 Citations

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