D-Index & Metrics Best Publications
Research.com 2022 Best Female Scientist Award Badge
Biology and Biochemistry
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 116 Citations 73,957 468 World Ranking 384 National Ranking 10
Biology and Biochemistry D-index 102 Citations 59,464 432 World Ranking 925 National Ranking 10

Research.com Recognitions

Awards & Achievements

2023 - Research.com Biology and Biochemistry in Netherlands Leader Award

2022 - Research.com Best Female Scientist Award

2019 - Royal Netherlands Academy of Arts and Sciences

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Genetics
  • Statistics

Danielle Posthuma mainly focuses on Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Heritability. Her Genome-wide association study research includes themes of Schizophrenia, Case-control study, Quantitative trait locus, Genetic architecture and Meta-analysis. Her work carried out in the field of Schizophrenia brings together such families of science as Bipolar disorder and Neuroscience.

She focuses mostly in the field of Genetics, narrowing it down to matters related to Disease and, in some cases, Mendelian randomization. In her study, which falls under the umbrella issue of Genetic association, Computational biology is strongly linked to Expression quantitative trait loci. Her biological study spans a wide range of topics, including Candidate gene, Adiponectin and Medical genetics.

Her most cited work include:

  • Biological insights from 108 schizophrenia-associated genetic loci (5211 citations)
  • Biological insights from 108 schizophrenia-associated genetic loci (5211 citations)
  • A genome-wide association search for type 2 diabetes genes in African Americans. (1770 citations)

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

The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Heritability and Gene. Single-nucleotide polymorphism, Genetic variation, Genetic architecture, Quantitative trait locus and Candidate gene are among the areas of Genetics where the researcher is concentrating her efforts. Her Genome-wide association study research integrates issues from Schizophrenia, Bipolar disorder, Linkage disequilibrium, Disease and Computational biology.

Schizophrenia and Copy-number variation are frequently intertwined in her study. Her study ties her expertise on Genetic heterogeneity together with the subject of Genetic association. As part of the same scientific family, she usually focuses on Heritability, concentrating on Developmental psychology and intersecting with Cognition and Intelligence quotient.

She most often published in these fields:

  • Genetics (51.60%)
  • Genome-wide association study (43.50%)
  • Genetic association (28.81%)

What were the highlights of her more recent work (between 2019-2021)?

  • Genome-wide association study (43.50%)
  • Computational biology (11.30%)
  • Gene (21.47%)

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

Her main research concerns Genome-wide association study, Computational biology, Gene, Genetics and Disease. She interconnects Biobank, Mendelian randomization, Multifactorial Inheritance, Human genetics and Attention deficit hyperactivity disorder in the investigation of issues within Genome-wide association study. Her research in Computational biology intersects with topics in Statistical hypothesis testing, Sample size determination, Transcriptome, Schizophrenia and Genetic association.

Danielle Posthuma has researched Genetics in several fields, including Bipolar disorder and Semantic dementia, Frontotemporal dementia. Her Bipolar disorder study combines topics in areas such as Risk gene, Schizophrenia, Likely pathogenic and Exome sequencing. The concepts of her Disease study are interwoven with issues in Omics, Oncology and Genomics.

Between 2019 and 2021, her most popular works were:

  • The genetic architecture of the human cerebral cortex (163 citations)
  • Genome-wide analysis reveals extensive genetic overlap between schizophrenia, bipolar disorder, and intelligence (73 citations)
  • Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. (48 citations)

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

  • Gene
  • Genetics
  • Internal medicine

Danielle Posthuma focuses on Genome-wide association study, Genetics, Schizophrenia, Gene and Disease. The various areas that Danielle Posthuma examines in her Genome-wide association study study include Genetic association, Computational biology, Human genetics, Haplotype and Attention deficit hyperactivity disorder. Her studies in Genetic association integrate themes in fields like Odds ratio, Major histocompatibility complex, Immunology and Genetic predisposition.

The Genetics study combines topics in areas such as Meta-analysis, Lung cancer and Risk factor. Her Schizophrenia research includes elements of Bipolar disorder, Spectrum disorder, Etiology and Mental illness. Danielle Posthuma combines subjects such as CSF albumin, Neuroimaging, Cell adhesion molecule and Bioinformatics with her study of Disease.

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 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

Genome-wide association study identifies five new schizophrenia loci

Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)

2508 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

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

Meta-analysis of the heritability of human traits based on fifty years of twin studies

Tinca J C Polderman;Beben Benyamin;Christiaan A de Leeuw;Patrick F Sullivan.
Nature Genetics (2015)

1770 Citations

MAGMA: Generalized Gene-Set Analysis of GWAS Data

Christiaan A. de Leeuw;Joris M. Mooij;Tom Heskes;Danielle Posthuma.
PLOS Computational Biology (2015)

1761 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

Genome-wide association analysis identifies 13 new risk loci for schizophrenia

Stephan Ripke;Stephan Ripke;Colm T. O'Dushlaine;Kimberly D. Chambert;Jennifer L. Moran.
Nature Genetics (2013)

1605 Citations

Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk.

Iris E. Jansen;Jeanne E. Savage;Kyoko Watanabe;Julien Bryois.
Nature Genetics (2019)

1202 Citations

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