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 54 Citations 14,996 99 World Ranking 3105 National Ranking 346

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

His primary areas of study are Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Gene. The various areas that Gail Davies examines in his Genome-wide association study study include Biobank, Bioinformatics, Schizophrenia, Disease and Major depressive disorder. His work carried out in the field of Genetics brings together such families of science as Uric acid and Gout.

His biological study spans a wide range of topics, including Cognition, Genetic variation and DNA methylation. The Genetic association study combines topics in areas such as Pulse pressure and Blood pressure. His study in Heritability is interdisciplinary in nature, drawing from both Quantitative trait locus, Behavioural genetics, Genetic correlation and Human height.

His most cited work include:

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)
  • Modulation of genetic associations with serum urate levels by body-mass-index in humans (1089 citations)
  • Genome-wide association study identifies 74 loci associated with educational attainment (825 citations)

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

The scientist’s investigation covers issues in Genome-wide association study, Genetics, Cognition, Genetic association and Single-nucleotide polymorphism. His Genome-wide association study research includes themes of Biobank, Schizophrenia, Disease, Heritability and Major depressive disorder. He has included themes like Bipolar disorder and Genetic architecture in his Major depressive disorder study.

His work on Cognitive test as part of his general Cognition study is frequently connected to Educational attainment, thereby bridging the divide between different branches of science. His research integrates issues of Sample size determination, Bioinformatics, Meta-analysis, Expression quantitative trait loci and Locus in his study of Genetic association. His studies deal with areas such as Internal medicine and Genetic variation as well as Single-nucleotide polymorphism.

He most often published in these fields:

  • Genome-wide association study (60.00%)
  • Genetics (43.67%)
  • Cognition (31.02%)

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

  • Genome-wide association study (60.00%)
  • Cognition (31.02%)
  • Genetic association (24.08%)

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

His primary areas of investigation include Genome-wide association study, Cognition, Genetic association, Genetics and Biobank. His Genome-wide association study research includes elements of Mendelian randomization, Schizophrenia, Bipolar disorder, Disease and Heritability. When carried out as part of a general Cognition research project, his work on Cognitive test is frequently linked to work in Educational attainment, therefore connecting diverse disciplines of study.

His Genetic association research is multidisciplinary, incorporating elements of Meta-analysis, Neuroscience, Depression and Clinical psychology. His Genome, Gene, Single-nucleotide polymorphism and Ageing study in the realm of Genetics connects with subjects such as Male-pattern baldness. His Biobank study combines topics from a wide range of disciplines, such as Psychosocial, Genetic variants and Gerontology.

Between 2018 and 2021, his most popular works were:

  • Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions (458 citations)
  • A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence (134 citations)
  • Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts. (131 citations)

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

  • Gene
  • Genetics
  • Internal medicine

His scientific interests lie mostly in Genome-wide association study, Genetic association, Cognition, Schizophrenia and Genetics. In his research, Gail Davies undertakes multidisciplinary study on Genome-wide association study and Human leukocyte antigen. His Genetic association research is multidisciplinary, relying on both Sample size determination, Meta-analysis, Neuroscience, Depression and Haplotype.

In general Cognition study, his work on Cognitive test often relates to the realm of Latency, thereby connecting several areas of interest. In his study, Neurodevelopmental disorder, Increased risk, Oncology and Polygenic risk score is inextricably linked to Biobank, which falls within the broad field of Schizophrenia. Many of his studies on Genetics involve topics that are commonly interrelated, such as Insulin.

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

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski.
Nature Genetics (2018)

893 Citations

Genome-wide association study identifies 74 loci associated with educational attainment

Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee.
Nature (2016)

861 Citations

GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang.
Science (2013)

723 Citations

Genome-wide association studies establish that human intelligence is highly heritable and polygenic

G. Davies;A. Tenesa;A. Tenesa;A. Payton;J. Yang.
Molecular Psychiatry (2011)

722 Citations

Modulation of genetic associations with serum urate levels by body-mass-index in humans

Jennifer E. Huffman;Eva Albrecht;Alexander Teumer;Massimo Mangino.
PLOS ONE (2015)

693 Citations

Search for invisible decays of Higgs bosons in the vector boson fusion and associated ZH production modes

S. Chatrchyan;V. Khachatryan;A. M. Sirunyan;A. Tumasyan.
European Physical Journal C (2014)

628 Citations

Search for dark matter, extra dimensions, and unparticles in monojet events in proton–proton collisions at √s = 8 TeV

V. Khachatryan;A. M. Sirunyan;A. Tumasyan;W. Adam.
European Physical Journal C (2015)

608 Citations

Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Aysu Okbay;Bart M L Baselmans;Jan-Emmanuel De Neve;Patrick Turley.
Nature Genetics (2016)

597 Citations

Identification of common variants associated with human hippocampal and intracranial volumes

Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar.
Nature Genetics (2012)

594 Citations

Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

Anna Köttgen;Anna Köttgen;Eva Albrecht;Alexander Teumer;Veronique Vitart.
Nature Genetics (2013)

568 Citations

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