H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Genetics and Molecular Biology H-index 105 Citations 85,606 300 World Ranking 355 National Ranking 45

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

Andrew P. Morris spends much of his time researching Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Genetic architecture. Andrew P. Morris has researched Genome-wide association study in several fields, including Allele frequency, Medical genetics, Glucose homeostasis, Imputation and Type 2 diabetes. The Type 2 diabetes study combines topics in areas such as CDKAL1, Internal medicine and SLC30A8.

In most of his Genetics studies, his work intersects topics such as Body mass index. His studies in Genetic association integrate themes in fields like Multiple comparisons problem, Bioinformatics, Case-control study, Blood pressure and Disease. His Genetic architecture research integrates issues from Common disease-common variant, Minor allele frequency, Genetic predisposition and Allelic heterogeneity.

His most cited work include:

  • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls (7922 citations)
  • A haplotype map of the human genome (5144 citations)
  • The International HapMap Project (5051 citations)

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

His main research concerns Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Locus. His study on Genetics is mostly dedicated to connecting different topics, such as Type 2 diabetes. His Type 2 diabetes research is multidisciplinary, incorporating elements of Susceptibility locus and Glucose homeostasis.

His Genome-wide association study study incorporates themes from Bioinformatics, Medical genetics, Quantitative trait locus, Internal medicine and Computational biology. His work deals with themes such as Meta-analysis, Disease, Imputation, Minor allele frequency and Genetic variation, which intersect with Genetic association. His Single-nucleotide polymorphism study combines topics in areas such as Exome and Haplotype.

He most often published in these fields:

  • Genetics (81.20%)
  • Genome-wide association study (88.31%)
  • Genetic association (53.55%)

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

  • Genome-wide association study (88.31%)
  • Genetic association (53.55%)
  • Genetics (81.20%)

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

His primary scientific interests are in Genome-wide association study, Genetic association, Genetics, Internal medicine and Locus. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Mendelian randomization, Bioinformatics, Medical genetics, Disease and Atrial fibrillation. His Genetic association research incorporates themes from DNA methylation, Minor allele frequency, Case-control study and Confounding.

His biological study spans a wide range of topics, including Diabetes mellitus, Endocrinology and Cardiology. His research integrates issues of Single-nucleotide polymorphism and Type 2 diabetes in his study of Locus. His Single-nucleotide polymorphism research is multidisciplinary, incorporating perspectives in Odds ratio and Allele.

Between 2018 and 2021, his most popular works were:

  • Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry (171 citations)
  • Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry (171 citations)
  • Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors (129 citations)

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

  • Gene
  • Internal medicine
  • Genetics

Andrew P. Morris mainly investigates Genome-wide association study, Genetics, Genetic association, Bioinformatics and Mendelian randomization. His Genome-wide association study study combines topics from a wide range of disciplines, such as Polymorphism, Mendelian Randomization Analysis, Medical genetics, Meta-analysis and Heritability. His work on Genetics is being expanded to include thematically relevant topics such as Pathogenesis.

His work carried out in the field of Genetic association brings together such families of science as Renal function, Case-control study, Disease, Minor allele frequency and Kidney. Andrew P. Morris combines subjects such as Diabetes mellitus genetics, Gene knockdown, Kidney disease, Quantitative trait locus and Regulation of gene expression with his study of Bioinformatics. In Locus, he works on issues like Allele, which are connected to Bioelectrical impedance analysis, Lean body mass 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.

Top Publications

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock.
Nature (2007)

7828 Citations

The International HapMap Project

John W. Belmont;Paul Hardenbol;Thomas D. Willis;Fuli Yu.
Nature (2003)

5253 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

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)

2864 Citations

Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes

Eleftheria Zeggini;Michael N Weedon;Cecilia M Lindgren;Timothy M Frayling.
Science (2007)

2453 Citations

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)

2013 Citations

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Nature (2010)

1934 Citations

Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris.
Nature Genetics (2010)

1829 Citations

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira.
Nature Genetics (2012)

1642 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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