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 81 Citations 38,599 182 World Ranking 931 National Ranking 25

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Genetics
  • Internal medicine

Naomi R. Wray mostly deals with Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Schizophrenia. Her Genome-wide association study study combines topics in areas such as Bipolar disorder, Quantitative trait locus, Genetic architecture, Disease and Heritability. Her work on Explained variation expands to the thematically related Genetics.

Her biological study spans a wide range of topics, including Meta-analysis and Computational biology. The study incorporates disciplines such as SNP and Receiver operating characteristic in addition to Genetic association. Her research in Schizophrenia focuses on subjects like Neuroscience, which are connected to Mood, Histone methylation and Biological pathway.

Her most cited work include:

  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
  • Common polygenic variation contributes to risk of schizophrenia and bipolar disorder (3630 citations)
  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs (1570 citations)

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

The scientist’s investigation covers issues in Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Psychiatry. Her Genome-wide association study study incorporates themes from Schizophrenia, Disease, Heritability, Major depressive disorder and Genetic architecture. Naomi R. Wray combines subjects such as Statistics, Genetic correlation and Missing heritability problem with her study of Heritability.

Her Genetic association research is multidisciplinary, incorporating elements of Biobank, Demography, Allele frequency, Meta-analysis and Locus. Her Single-nucleotide polymorphism research includes elements of Computational biology and Allele, Haplotype. Her Psychiatry research is multidisciplinary, relying on both Offspring and Cohort.

She most often published in these fields:

  • Genome-wide association study (44.83%)
  • Genetics (40.04%)
  • Genetic association (25.67%)

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

  • Genome-wide association study (44.83%)
  • Genetic association (25.67%)
  • Psychiatry (17.05%)

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

Her primary areas of study are Genome-wide association study, Genetic association, Psychiatry, Depression and Genetics. Her Genome-wide association study study is related to the wider topic of Single-nucleotide polymorphism. Her research integrates issues of Sample size determination, Data mining, Meta-analysis, Quantitative trait locus and Mixed model in her study of Genetic association.

Her Schizophrenia and Psychiatric genetics study in the realm of Psychiatry interacts with subjects such as Suicide attempt. The Schizophrenia study combines topics in areas such as Major depressive disorder, Bipolar disorder, Odds ratio and Cohort. Her study on Depression also encompasses disciplines like

  • Comorbidity which intersects with area such as Linkage disequilibrium,
  • Clinical psychology that connect with fields like Autism spectrum disorder.

Between 2018 and 2021, her most popular works were:

  • Genome-wide association study identifies 30 loci associated with bipolar disorder (518 citations)
  • Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions (458 citations)
  • Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies (353 citations)

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

  • Gene
  • Genetics
  • Internal medicine

Naomi R. Wray spends much of her time researching Genome-wide association study, Genetic association, Schizophrenia, Genetics and Psychiatry. Her study on Genome-wide association study is covered under Single-nucleotide polymorphism. The study incorporates disciplines such as Allele and Locus in addition to Single-nucleotide polymorphism.

Her research in Genetic association intersects with topics in Context, Genetic correlation, Disease, Genetic predisposition and Bioinformatics. The concepts of her Schizophrenia study are interwoven with issues in Mental health and Bipolar disorder, Depression. She studies DNA methylation which is a part of Genetics.

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

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

Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

Shaun M. Purcell;Shaun M. Purcell;Naomi R. Wray;Jennifer L. Stone;Jennifer L. Stone;Peter M. Visscher.
Nature (2009)

3319 Citations

Heritability in the genomics era — concepts and misconceptions

Peter M. Visscher;William G. Hill;Naomi R. Wray.
Nature Reviews Genetics (2008)

1772 Citations

Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone.
Nature Genetics (2013)

1708 Citations

10 Years of GWAS Discovery: Biology, Function, and Translation

Peter M. Visscher;Naomi R. Wray;Qian Zhang;Pamela Sklar.
American Journal of Human Genetics (2017)

1374 Citations

Genome-wide association analysis identifies 13 new risk loci for schizophrenia

Stephan Ripke;Stephan Ripke;Colm T. O'Dushlaine;Kimberly D. Chambert;Jennifer L. Moran.
Nature Genetics (2013)

1370 Citations

A mega-analysis of genome-wide association studies for major depressive disorder

Stephan Ripke;Naomi R Wray;Cathryn M Lewis;Steven P Hamilton.
Molecular Psychiatry (2013)

1062 Citations

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

Zhihong Zhu;Futao Zhang;Han Hu;Andrew Bakshi.
Nature Genetics (2016)

978 Citations

Estimating Missing Heritability for Disease from Genome-wide Association Studies

Sang Hong Lee;Naomi R. Wray;Michael E. Goddard;Peter M. Visscher.
American Journal of Human Genetics (2011)

969 Citations

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

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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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