D-Index & Metrics Best Publications
Research.com 2022 Best Female Scientist Award Badge
Genetics
Netherlands
2023

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
Best female scientists D-index 129 Citations 76,512 673 World Ranking 230 National Ranking 146
Medicine D-index 133 Citations 79,445 639 World Ranking 1228 National Ranking 42
Genetics D-index 122 Citations 73,934 548 World Ranking 196 National Ranking 8

Research.com Recognitions

Awards & Achievements

2023 - Research.com Medicine in Netherlands Leader Award

2023 - Research.com Genetics in Netherlands Leader Award

2022 - Research.com Best Female Scientist Award

Overview

What is she best known for?

The fields of study she is best known for:

  • Internal medicine
  • Gene
  • Genetics

Gonneke Willemsen mainly investigates Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Internal medicine. Her study in Genome-wide association study is interdisciplinary in nature, drawing from both Quantitative trait locus, Disease, Allele, Locus and Type 2 diabetes. Her Genetics research is multidisciplinary, incorporating elements of Body mass index and Meta-analysis.

Her research integrates issues of Bipolar disorder, Genetic variation and Medical genetics in her study of Genetic association. The study incorporates disciplines such as Endocrinology and Cardiology in addition to Internal medicine. Her Heritability research incorporates elements of Phenotype, Demography and Gene–environment interaction.

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?

Her main research concerns Genetics, Genome-wide association study, Heritability, Demography and Internal medicine. Single-nucleotide polymorphism, Genetic association, Quantitative trait locus, Locus and Gene are the core of her Genetics study. Her Genome-wide association study course of study focuses on Major depressive disorder and Bipolar disorder.

In her study, Personality is inextricably linked to Developmental psychology, which falls within the broad field of Heritability. Her research investigates the link between Demography and topics such as Body mass index that cross with problems in Obesity. Her research in Internal medicine intersects with topics in Endocrinology and Cardiology.

She most often published in these fields:

  • Genetics (37.41%)
  • Genome-wide association study (30.74%)
  • Heritability (21.97%)

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

  • Genome-wide association study (30.74%)
  • Genetics (37.41%)
  • Demography (21.00%)

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

Gonneke Willemsen mostly deals with Genome-wide association study, Genetics, Demography, Heritability and Genetic association. Her work deals with themes such as Offspring, Mendelian randomization, Disease, Genetic predisposition and Medical genetics, which intersect with Genome-wide association study. Quantitative trait locus, Genetic variation, DNA methylation, Genetic architecture and Locus are the primary areas of interest in her Genetics study.

Her Demography research incorporates themes from Twin study, Birth weight, Confidence interval, Gene–environment interaction and Socioeconomic status. Gonneke Willemsen interconnects Meta-analysis, Diabetes mellitus, Type 2 diabetes and Allele in the investigation of issues within Genetic association. In her work, Clinical psychology is strongly intertwined with Depression, which is a subfield of Meta-analysis.

Between 2017 and 2021, her most popular works were:

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1310 citations)
  • Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (513 citations)
  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. (348 citations)

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

  • Internal medicine
  • Gene
  • Genetics

Her main research concerns Genome-wide association study, Genetics, Mendelian randomization, Demography and Genetic association. Her Genome-wide association study study integrates concerns from other disciplines, such as Disease, Genetic predisposition, Immunology, Medical genetics and Genetic architecture. Her works in Genetic variation, Quantitative trait locus, DNA methylation, Microbiome and Metagenomics are all subjects of inquiry into Genetics.

Her Mendelian randomization research is multidisciplinary, relying on both Biobank, Liver function, Clinical trial, Pharmaceutical sciences and Efficacy. Her biological study spans a wide range of topics, including Cohort study, Young adult, Educational attainment, Heritability and Socioeconomic status. Her study focuses on the intersection of Genetic association and fields such as Allele with connections in the field of Heredity and Low birth weight.

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)

3675 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

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)

2398 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)

2281 Citations

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)

J Dupuis;C Langenberg;I Prokopenko;R Saxena.
Nature Genetics (2010)

2193 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)

2174 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)

2097 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)

1784 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)

1759 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)

1689 Citations

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