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 112 Citations 132,853 189 World Ranking 262 National Ranking 9

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

His primary areas of investigation include Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and International HapMap Project. Genetics and Computational biology are commonly linked in his work. The various areas that Paul I.W. de Bakker examines in his Genome-wide association study study include Allele, Immunology, Pooling and Genetic architecture.

The Genetic association study combines topics in areas such as Meta-analysis, Internal medicine, SNP array and Cardiology. Paul I.W. de Bakker has researched Single-nucleotide polymorphism in several fields, including Autoantibody, Genetic model, Epigenetics of diabetes Type 2 and Glucokinase regulatory protein. His work carried out in the field of International HapMap Project brings together such families of science as Linkage, Identity by descent and 1000 Genomes Project.

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)
  • A haplotype map of the human genome (5144 citations)

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

Paul I.W. de Bakker mainly investigates Genetics, Genome-wide association study, Single-nucleotide polymorphism, Genetic association and Internal medicine. His research in Haplotype, Allele, Linkage disequilibrium, Allele frequency and International HapMap Project are components of Genetics. His research investigates the link between Genome-wide association study and topics such as Odds ratio that cross with problems in Case-control study.

Paul I.W. de Bakker has included themes like Quantitative trait locus and Genotyping in his Single-nucleotide polymorphism study. His Genetic association course of study focuses on Computational biology and Human genome, Genome and Exome. He interconnects Endocrinology, Oncology and Cardiology in the investigation of issues within Internal medicine.

He most often published in these fields:

  • Genetics (92.63%)
  • Genome-wide association study (80.45%)
  • Single-nucleotide polymorphism (51.27%)

What were the highlights of his more recent work (between 2015-2020)?

  • Genetics (92.63%)
  • Genome-wide association study (80.45%)
  • Genetic association (51.56%)

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

Paul I.W. de Bakker mostly deals with Genetics, Genome-wide association study, Genetic association, Bioinformatics and Internal medicine. His Genetics study frequently involves adjacent topics like QRS complex. His Genome-wide association study study deals with the bigger picture of Single-nucleotide polymorphism.

His Genetic association research is multidisciplinary, relying on both Allele frequency, Imputation, Genotyping, Heritability and Computational biology. His Bioinformatics research includes elements of Coronary artery disease, Vagal tone, SLCO1B1 and Blood pressure. The study incorporates disciplines such as Aneurysm, Oncology and Cardiology in addition to Internal medicine.

Between 2015 and 2020, his most popular works were:

  • A reference panel of 64,976 haplotypes for genotype imputation (1312 citations)
  • Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis (289 citations)
  • Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension (159 citations)

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

  • Gene
  • Genetics
  • Internal medicine

His primary scientific interests are in Genetics, Genome-wide association study, Genetic association, Bioinformatics and Locus. His is involved in several facets of Genetics study, as is seen by his studies on Imputation, Allele, Genome, Minor allele frequency and Genetic correlation. His Genome-wide association study study combines topics in areas such as Stroke and Expression quantitative trait loci.

The concepts of his Genetic association study are interwoven with issues in Epistasis and Linkage disequilibrium. His Bioinformatics research focuses on Medical genetics and how it connects with Missense mutation, Blood pressure, Pathophysiology of hypertension and Genetic variation. Paul I.W. de Bakker works mostly in the field of Locus, limiting it down to concerns involving Odds ratio and, occasionally, Intracerebral hemorrhage and DNA methylation.

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)

21087 Citations

Structure validation by Calpha geometry: phi,psi and Cbeta deviation.

Simon C. Lovell;Ian W. Davis;W. Bryan Arendall;Paul I. W. de Bakker.
Proteins (2003)

6520 Citations

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó.
Nature (2007)

5251 Citations

A haplotype map of the human genome

John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol.
Nature (2003)

5062 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.
Nature (2007)

4739 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)

2744 Citations

Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer.
Nature (2011)

2262 Citations

Efficiency and power in genetic association studies

Paul I W de Bakker;Roman Yelensky;Roman Yelensky;Itsik Pe'er;Itsik Pe'er;Stacey B Gabriel.
Nature Genetics (2005)

1972 Citations

Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study

Benjamin F. Voight;Benjamin F. Voight;Benjamin F. Voight;Gina M. Peloso;Gina M. Peloso;Marju Orho-Melander;Ruth Frikke-Schmidt.
web science (2012)

1870 Citations

Genome-wide detection and characterization of positive selection in human populations

Pardis C. Sabeti;Pardis C. Sabeti;Patrick Varilly;Patrick Varilly;Ben Fry;Jason Lohmueller.
Nature (2007)

1606 Citations

Best Scientists Citing Paul I. W. de Bakker

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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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