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 131 Citations 101,978 311 World Ranking 118 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

Tõnu Esko mainly investigates Genome-wide association study, Genetics, Genetic association, Genetic architecture and Disease. His research in Genome-wide association study intersects with topics in Polymorphism, Bioinformatics, Case-control study, Medical genetics and Candidate gene. His Single-nucleotide polymorphism, Gene, Quantitative trait locus, Allele and Locus study are his primary interests in Genetics.

His Genetic association research incorporates elements of Pulse pressure and Blood pressure. He has included themes like Common disease-common variant, Genetic predisposition, Genomics and Imputation, Haplotype in his Genetic architecture study. His studies examine the connections between Disease and genetics, as well as such issues in Schizophrenia, with regards to Major depressive disorder and Bipolar disorder.

His most cited work include:

  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)

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

Tõnu Esko spends much of his time researching Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Gene. His Genetics study frequently draws connections between related disciplines such as Disease. His Genome-wide association study study incorporates themes from Bioinformatics, Case-control study, Medical genetics, Imputation and Genetic architecture.

His study focuses on the intersection of Genetic association and fields such as Meta-analysis with connections in the field of Computational biology. His research integrates issues of Demography and Genetic variation in his study of Single-nucleotide polymorphism. His study in Demography is interdisciplinary in nature, drawing from both Body mass index and Genetic correlation.

He most often published in these fields:

  • Genetics (88.91%)
  • Genome-wide association study (78.85%)
  • Genetic association (31.51%)

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

  • Genetics (88.91%)
  • Genome-wide association study (78.85%)
  • Gene (26.78%)

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

His main research concerns Genetics, Genome-wide association study, Gene, Computational biology and Genetic association. His Genetics research incorporates themes from Sleep in non-human animals and Blood lipids. Tõnu Esko combines subjects such as SNP, Genetic correlation, Eating disorders, Medical genetics and Quantitative trait locus with his study of Genome-wide association study.

His Gene study combines topics in areas such as Bipolar disorder and Immune system. His study on Computational biology also encompasses disciplines like

  • Mendelian randomization which intersects with area such as Disease, Confounding, Causal inference and Mendelian Randomization Analysis,
  • Phenotype and related Regulation of gene expression,
  • Genotype that intertwine with fields like Statistical power and Chromosome. His Genetic association study incorporates themes from Heritability, Demography, Haplotype and 1000 Genomes Project.

Between 2018 and 2021, his most popular works were:

  • Genome-wide association study identifies 30 loci associated with bipolar disorder (518 citations)
  • Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (385 citations)
  • Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (385 citations)

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

  • Gene
  • Genetics
  • Internal medicine

Tõnu Esko mostly deals with Genetics, Genome-wide association study, Biobank, Gene and Genetic association. Tõnu Esko connects Genetics with PCSK9 in his study. His studies deal with areas such as SNP, Lipid profile, Blood lipids, Cholesterol and Medical genetics as well as Genome-wide association study.

His biological study spans a wide range of topics, including Schizophrenia and Coding. His Genetic association study combines topics from a wide range of disciplines, such as Meta-analysis, Odds ratio and Cohort. His research in Single-nucleotide polymorphism intersects with topics in Quantitative trait locus, Breast cancer, Demography and Hazard ratio.

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 Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

Kristin G. Ardlie;David S. Deluca;Ayellet V. Segrè.
Science (2015)

4252 Citations

Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Nature (2014)

4139 Citations

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)

2864 Citations

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Nature (2010)

1934 Citations

Discovery and refinement of loci associated with lipid levels

Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso.
Nature Genetics (2013)

1733 Citations

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira.
Nature Genetics (2012)

1642 Citations

Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam.
Nature Genetics (2014)

1508 Citations

Genetics of rheumatoid arthritis contributes to biology and drug discovery

Yukinori Okada;Yukinori Okada;Di Wu;Di Wu;Di Wu;Gosia Trynka;Gosia Trynka;Towfique Raj;Towfique Raj.
Nature (2014)

1459 Citations

Systematic identification of trans eQTLs as putative drivers of known disease associations

Harm-Jan Westra;Marjolein J Peters;Tõnu Esko;Hanieh Yaghootkar.
Nature Genetics (2013)

1344 Citations

Large-scale association analysis identifies new risk loci for coronary artery disease

Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall.
Nature Genetics (2013)

1284 Citations

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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