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
Medicine D-index 119 Citations 143,678 330 World Ranking 2134 National Ranking 1239
Genetics D-index 116 Citations 142,253 306 World Ranking 239 National Ranking 126

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Mutation

His main research concerns Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Schizophrenia. The concepts of his Genome-wide association study study are interwoven with issues in Linkage disequilibrium, Expression quantitative trait loci, Allele, ANK3 and Genetic architecture. The concepts of his Genetic association study are interwoven with issues in Imputation, International HapMap Project, Data mining and Genetic variation.

His studies examine the connections between Data mining and genetics, as well as such issues in Identity by descent, with regards to Linkage. Shaun Purcell works mostly in the field of Single-nucleotide polymorphism, limiting it down to concerns involving Haplotype and, occasionally, Epigenetics of diabetes Type 2 and CDKAL1. His Schizophrenia research incorporates themes from Major depressive disorder, Bipolar disorder and Meta-analysis.

His most cited work include:

  • PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses (18952 citations)
  • PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses (18952 citations)
  • Analysis of protein-coding genetic variation in 60,706 humans (6694 citations)

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

His scientific interests lie mostly in Genetics, Genome-wide association study, Single-nucleotide polymorphism, Genetic association and Gene. His Genetics study integrates concerns from other disciplines, such as Bipolar disorder and Schizophrenia. His Bipolar disorder research includes themes of Major depressive disorder, Genetic heterogeneity and ANK3.

His Genome-wide association study study combines topics from a wide range of disciplines, such as Bioinformatics, Exome, Locus, Genetic variation and Genetic architecture. In his work, Case-control study is strongly intertwined with Odds ratio, which is a subfield of Single-nucleotide polymorphism. The various areas that Shaun Purcell examines in his Genetic association study include Population stratification, Imputation, Quantitative trait locus and Heritability.

He most often published in these fields:

  • Genetics (108.81%)
  • Genome-wide association study (58.49%)
  • Single-nucleotide polymorphism (38.57%)

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

  • Genetics (108.81%)
  • Genome-wide association study (58.49%)
  • Gene (24.11%)

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

His primary areas of investigation include Genetics, Genome-wide association study, Gene, Schizophrenia and Sleep in non-human animals. Shaun Purcell integrates many fields, such as Genetics and Variation, in his works. His biological study deals with issues like Genetic variation, which deal with fields such as Endocrinology, Hypoxemia, Polymorphism, Sleep apnea and IL18R1.

Shaun Purcell has researched Gene in several fields, including Computational biology and Disease. His Schizophrenia research includes elements of Mendelian randomization, Major depressive disorder, Bipolar disorder, Depression and Intellectual disability. Shaun Purcell usually deals with Genetic association and limits it to topics linked to Linkage disequilibrium and Etiology, European descent and Genetic variants.

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)
  • Genome-wide association study identifies 30 loci associated with bipolar disorder (518 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
  • Mutation

Shaun Purcell mainly investigates Genome-wide association study, Schizophrenia, Disease, Obstructive sleep apnea and Polysomnography. His work carried out in the field of Genome-wide association study brings together such families of science as Bioinformatics, Sleep in non-human animals, Expression quantitative trait loci, Imputation and Computational biology. His biological study spans a wide range of topics, including Genetics, Mendelian randomization, Bipolar disorder, Psychosis and Major depressive disorder.

Shaun Purcell regularly links together related areas like Age of onset in his Genetics studies. His work in Mendelian randomization addresses issues such as Dopamine binding, which are connected to fields such as Cognition, Genetic association and Linkage disequilibrium. His Disease study combines topics in areas such as Chromosomal region, Genetic admixture, Apnea–hypopnea index, Genetic genealogy and Single-nucleotide polymorphism.

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

PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses

Shaun Purcell;Shaun Purcell;Benjamin Neale;Benjamin Neale;Kathe Todd-Brown;Lori Thomas.
American Journal of Human Genetics (2007)

26782 Citations

Analysis of protein-coding genetic variation in 60,706 humans

Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha.
Nature (2016)

8828 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)

6161 Citations

Second-generation PLINK: rising to the challenge of larger and richer datasets

Christopher C. Chang;Carson C. Chow;Laurent C.A.M. Tellier;Shashaank Vattikuti.
GigaScience (2015)

6102 Citations

A haplotype map of the human genome

John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol.
(2005)

5290 Citations

A second generation human haplotype map of over 3.1 million SNPs

Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds.
(2007)

5078 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)

4024 Citations

Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis

Jordan W. Smoller;Kenneth Kendler;Nicholas John Craddock;Phil Hyoun Lee.
The Lancet (2013)

3879 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)

3231 Citations

Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels

Richa Saxena;Benjamin F. Voight;Valeriya Lyssenko;Noël P. Burtt.
Science (2007)

2913 Citations

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