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
Biology and Biochemistry D-index 44 Citations 16,157 82 World Ranking 13424 National Ranking 386

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

Scott D. Gordon mainly investigates Genome-wide association study, Genetics, Bipolar disorder, Schizophrenia and Genetic association. His biological study spans a wide range of topics, including Major depressive disorder, Odds ratio, Meta-analysis and Heritability. His work on Locus and Adipogenesis as part of general Genetics study is frequently linked to Insulin secretion and Synaptic function, bridging the gap between disciplines.

His research investigates the connection with Bipolar disorder and areas like Age of onset which intersect with concerns in SNP and Oncology. His Schizophrenia study combines topics in areas such as Psychosis and Genetic architecture. His Genetic association research is multidisciplinary, incorporating elements of Linkage disequilibrium, Minor allele frequency, Allele frequency, Missing heritability problem and Human height.

His most cited work include:

  • Common SNPs explain a large proportion of the heritability for human height (3140 citations)
  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs (1570 citations)
  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)

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

Scott D. Gordon spends much of his time researching Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Bipolar disorder. His research in Genome-wide association study intersects with topics in SNP, Meta-analysis, Allele, Locus and Heritability. His research in Genetics tackles topics such as Cohort which are related to areas like Cohort study.

Scott D. Gordon interconnects Odds ratio, Demography, Case-control study and Bioinformatics in the investigation of issues within Single-nucleotide polymorphism. His work deals with themes such as Minor allele frequency and Mendelian randomization, which intersect with Genetic association. His studies deal with areas such as Major depressive disorder, Schizophrenia and Age of onset as well as Bipolar disorder.

He most often published in these fields:

  • Genome-wide association study (64.79%)
  • Genetics (48.59%)
  • Single-nucleotide polymorphism (28.17%)

What were the highlights of his more recent work (between 2017-2021)?

  • Genome-wide association study (64.79%)
  • Genetics (48.59%)
  • Genetic association (24.65%)

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

His scientific interests lie mostly in Genome-wide association study, Genetics, Genetic association, Heritability and Genetic architecture. The concepts of his Genome-wide association study study are interwoven with issues in Meta-analysis, Bipolar disorder and Evolutionary biology. Within one scientific family, Scott D. Gordon focuses on topics pertaining to Schizophrenia under Bipolar disorder, and may sometimes address concerns connected to Psychosis, Major depressive disorder and Pleiotropy.

His study on Genetics is mostly dedicated to connecting different topics, such as Cohort. The Genetic association study combines topics in areas such as Odds ratio, Mendelian randomization, Genetic predisposition and Clinical psychology. Scott D. Gordon focuses mostly in the field of Genetic architecture, narrowing it down to topics relating to Case-control study and, in certain cases, Body mass index, Bioinformatics and Anorexia nervosa.

Between 2017 and 2021, his most popular works were:

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)
  • Analysis of shared heritability in common disorders of the brain (726 citations)
  • Genome-wide association study identifies 30 loci associated with bipolar disorder (518 citations)

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

  • Gene
  • Genetics
  • Internal medicine

Scott D. Gordon mainly focuses on Genome-wide association study, Genetics, Heritability, Bipolar disorder and Schizophrenia. The various areas that he examines in his Genome-wide association study study include Genetic architecture, Meta-analysis, Disease, Major depressive disorder and Comorbidity. Scott D. Gordon regularly ties together related areas like Renal function in his Genetics studies.

His Heritability research is multidisciplinary, incorporating perspectives in Genetic variation and Genetic association. Scott D. Gordon combines subjects such as Model organism and Risk factor with his study of Genetic association. His Bipolar disorder research includes elements of Genetic heterogeneity and Psychosis.

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 SNPs explain a large proportion of the heritability for human height

Jian Yang;Beben Benyamin;Brian P. McEvoy;Scott Gordon.
Nature Genetics (2010)

3837 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

Genetic studies of body mass index yield new insights for obesity biology

Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
Faculty of Health; Institute of Health and Biomedical Innovation (2015)

1231 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

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

Analysis of shared heritability in common disorders of the brain

Verneri Anttila;Verneri Anttila;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K. Finucane;Raymond K. Walters;Raymond K. Walters.
Science (2018)

547 Citations

Genome-wide association study identifies 30 loci associated with bipolar disorder

Eli A. Stahl;Eli A. Stahl;Gerome Breen;Andreas J. Forstner;Andrew McQuillin.
Nature Genetics (2019)

518 Citations

Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned

N. R. Wray;M. L. Pergadia;D. H.R. Blackwood;B. W.J.H. Penninx.
Molecular Psychiatry (2012)

468 Citations

Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Colm O'Dushlaine;Lizzy Rossin;Phil H. Lee;Laramie Duncan;Laramie Duncan.
Nature Neuroscience (2015)

462 Citations

Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis

Jodie N Painter;Carl A Anderson;Carl A Anderson;Dale R Nyholt;Stuart Macgregor.
Nature Genetics (2011)

351 Citations

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