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 and Molecular Biology D-index 44 Citations 11,763 99 World Ranking 4468 National Ranking 52

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

His main research concerns Genetics, Genome-wide association study, Bone density, Single-nucleotide polymorphism and Osteoporosis. David Karasik has included themes like Menarche and Bioinformatics in his Genetics study. His Genome-wide association study study combines topics from a wide range of disciplines, such as Body mass index, Disease, Allele, Heritability and Candidate gene.

His work is dedicated to discovering how Single-nucleotide polymorphism, Endocrinology are connected with Odds ratio and Phenotype and other disciplines. His research in the fields of Bone mineral overlaps with other disciplines such as Fragility. His research in Bone mineral focuses on subjects like Femoral neck, which are connected to Framingham Heart Study, Orthodontics and Teriparatide.

His most cited work include:

  • Common genetic determinants of vitamin D insufficiency: a genome-wide association study (1141 citations)
  • Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture (845 citations)
  • Twenty bone mineral-density loci identified by large-scale meta-analysis of genome-wide association studies (576 citations)

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

David Karasik mainly focuses on Genome-wide association study, Genetics, Osteoporosis, Single-nucleotide polymorphism and Internal medicine. The Genome-wide association study study combines topics in areas such as Bioinformatics, Meta-analysis, Genetic association, Computational biology and Candidate gene. His work is connected to Locus, Allele, Quantitative trait locus, Genetic architecture and Gene, as a part of Genetics.

His Osteoporosis research is multidisciplinary, incorporating perspectives in Phenotype, Framingham Risk Score and Bone remodeling. His study in Internal medicine is interdisciplinary in nature, drawing from both Endocrinology and Oncology. He combines subjects such as Body mass index and Heritability with his study of Framingham Heart Study.

He most often published in these fields:

  • Genome-wide association study (49.06%)
  • Genetics (47.92%)
  • Osteoporosis (24.91%)

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

  • Genome-wide association study (49.06%)
  • Genetics (47.92%)
  • Single-nucleotide polymorphism (27.55%)

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

David Karasik mostly deals with Genome-wide association study, Genetics, Single-nucleotide polymorphism, Osteoporosis and Zebrafish. The study incorporates disciplines such as Meta-analysis, Crosstalk, Computational biology and Candidate gene in addition to Genome-wide association study. His is involved in several facets of Genetics study, as is seen by his studies on Genetic architecture, Locus and Genetic association.

The concepts of his Single-nucleotide polymorphism study are interwoven with issues in Bone mineral and Femoral neck. David Karasik works mostly in the field of Bone mineral, limiting it down to topics relating to Body mass index and, in certain cases, Heritability, as a part of the same area of interest. In the field of Osteoporosis, his study on Bone density overlaps with subjects such as ANAPC1.

Between 2018 and 2021, his most popular works were:

  • An atlas of genetic influences on osteoporosis in humans and mice (211 citations)
  • A meta-analysis of genome-wide association studies identifies multiple longevity genes (73 citations)
  • A meta-analysis of genome-wide association studies identifies multiple longevity genes (73 citations)

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

  • Gene
  • Internal medicine
  • Genetics

His primary scientific interests are in Genome-wide association study, Genetics, Meta-analysis, Genetic architecture and Single-nucleotide polymorphism. His work carried out in the field of Genome-wide association study brings together such families of science as Biobank, Model organism, Phenotype, Genetic association and Candidate gene. His Phenotype research integrates issues from Bone density, Endocrinology, Computational biology and Zebrafish.

His research in Genetics intersects with topics in Bioelectrical impedance analysis and Lean body mass. His Single-nucleotide polymorphism research focuses on Osteoporosis and how it relates to Pleiotropy. His Bone mineral research includes elements of Evolutionary biology, Body mass index and Femoral neck.

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

Common genetic determinants of vitamin D insufficiency: a genome-wide association study

Thomas J. Wang;Feng Zhang;J. Brent Richards;Bryan Kestenbaum.
The Lancet (2010)

1586 Citations

Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu.
Nature Genetics (2012)

951 Citations

Twenty bone mineral-density loci identified by large-scale meta-analysis of genome-wide association studies

Fernando Rivadeneira;Unnur Styrkarsdottir;Karol Estrada;Bjarni V. Halldorsson.
Nature Genetics (2009)

663 Citations

Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies

Cathy E. Elks;John R B Perry;Patrick Sulem;Daniel I. Chasman.
Nature Genetics (2010)

492 Citations

Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

John R.B. Perry;Felix Day;Cathy E. Elks;Patrick Sulem.
Nature (2014)

424 Citations

Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

Felix R. Day;Katherine S. Ruth;Deborah J Thompson;Kathryn L. Lunetta.
Nature Genetics (2015)

387 Citations

Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile.

Tuomas O Kilpeläinen;M Carola Zillikens;Alena Stančákova;Francis M Finucane.
Nature Genetics (2011)

343 Citations

Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.

Hou Feng Zheng;Vincenzo Forgetta;Yi Hsiang Hsu;Yi Hsiang Hsu;Karol Estrada.
Nature (2015)

331 Citations

Meta-analysis of genome-wide association data identifies two loci influencing age at menarche.

John R B Perry;Lisette Stolk;Nora Franceschini;Kathryn L Lunetta;Kathryn L Lunetta.
Nature Genetics (2009)

308 Citations

Collaborative Meta-analysis: Associations of 150 Candidate Genes With Osteoporosis and Osteoporotic Fracture

J. Brent Richards;Fotini K. Kavvoura;Fernando Rivadeneira;Unnur Styrkársdóttir.
Annals of Internal Medicine (2009)

300 Citations

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