D-Index & Metrics Best Publications
Research.com 2022 Best Female Scientist Award Badge

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
Genetics and Molecular Biology D-index 102 Citations 59,244 326 World Ranking 400 National Ranking 49
Medicine D-index 94 Citations 49,948 320 World Ranking 4814 National Ranking 449
Best female scientists D-index 126 Citations 82,993 744 World Ranking 265 National Ranking 27

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist Award

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Internal medicine
  • Genetics

Her primary scientific interests are in Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Internal medicine. Her Genome-wide association study research incorporates themes from Bioinformatics, Medical genetics, Disease, Allele and Genetic architecture. Her Genetics study often links to related topics such as Body mass index.

Her work on SNP as part of general Single-nucleotide polymorphism study is frequently connected to Educational attainment, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Her Genetic association research integrates issues from Case-control study and Glucose homeostasis. The concepts of her Internal medicine study are interwoven with issues in Endocrinology, Oncology and Cardiology.

Her most cited work include:

  • Biological, clinical and population relevance of 95 loci for blood lipids (2887 citations)
  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2399 citations)
  • Discovery and refinement of loci associated with lipid levels (1941 citations)

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

Caroline Hayward spends much of her time researching Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Internal medicine. Her research in Gene, Allele, Locus, Quantitative trait locus and Genetic variation are components of Genetics. Her work is dedicated to discovering how Genome-wide association study, Meta-analysis are connected with Computational biology and other disciplines.

Her research investigates the connection with Genetic association and areas like Bioinformatics which intersect with concerns in Disease. Her research in Single-nucleotide polymorphism is mostly concerned with Minor allele frequency. Her Internal medicine study incorporates themes from Endocrinology, Type 2 diabetes, Oncology and Cardiology.

She most often published in these fields:

  • Genetics (46.81%)
  • Genome-wide association study (43.88%)
  • Genetic association (18.49%)

What were the highlights of her more recent work (between 2017-2022)?

  • Genome-wide association study (43.88%)
  • Genetics (46.81%)
  • Internal medicine (17.09%)

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

Her scientific interests lie mostly in Genome-wide association study, Genetics, Internal medicine, Genetic association and Gene. Her Genome-wide association study study is concerned with the field of Single-nucleotide polymorphism as a whole. Quantitative trait locus, DNA methylation, Allele, Locus and Genome are the core of her Genetics study.

Her Internal medicine study integrates concerns from other disciplines, such as Endocrinology, Oncology and Cardiology. Her Genetic association study combines topics in areas such as Meta-analysis, Biobank and Case-control study. Her Disease research includes elements of Mendelian randomization and Bioinformatics.

Between 2017 and 2022, her most popular works were:

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1310 citations)
  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (865 citations)
  • Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection (816 citations)

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

  • Gene
  • Internal medicine
  • Genetics

Caroline Hayward mainly focuses on Genome-wide association study, Genetics, Genetic association, Internal medicine and Single-nucleotide polymorphism. The Genome-wide association study study combines topics in areas such as Mendelian randomization, Medical genetics, Meta-analysis and Quantitative trait locus, Genetic architecture. Many of her studies involve connections with topics such as Cognition and Genetics.

Her studies in Genetic association integrate themes in fields like Pulse pressure, Blood pressure and Case-control study. Her work deals with themes such as Endocrinology, Oncology and Cardiology, which intersect with Internal medicine. The study of Single-nucleotide polymorphism is intertwined with the study of Locus in a number of ways.

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, clinical and population relevance of 95 loci for blood lipids

Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson.
Nature (2010)

3230 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

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

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud.
Nature (2011)

1802 Citations

Discovery and refinement of loci associated with lipid levels

Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso.
Nature Genetics (2013)

1733 Citations

A genome-wide association search for type 2 diabetes genes in African Americans.

N D Palmer;C W McDonough;P J Hicks;B H Roh.
PLOS ONE (2012)

1653 Citations

Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam.
Nature Genetics (2014)

1508 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

Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts

Yurii S Aulchenko;Samuli Ripatti;Ida Lindqvist;Dorret Boomsma.
Nature Genetics (2009)

940 Citations

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