D-Index & Metrics Best Publications

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
Biology and Biochemistry D-index 62 Citations 20,107 136 World Ranking 4710 National Ranking 107

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Internal medicine
  • Genetics

Her scientific interests lie mostly in Genetics, Genome-wide association study, Allele, Internal medicine and Genetic association. Her work in Gene, Linkage disequilibrium, Single-nucleotide polymorphism, DNA methylation and Genome are all subfields of Genetics research. Her Genome-wide association study study combines topics in areas such as Body mass index, Meta-analysis, Quantitative trait locus, Expression quantitative trait loci and Locus.

Her work in Allele addresses issues such as Osteoarthritis, which are connected to fields such as Odds ratio, Case-control study, Minor allele frequency, Physical therapy and SNP. Her work deals with themes such as Endocrinology and Type 2 diabetes, which intersect with Internal medicine. In Genetic association, Joyce B. J. van Meurs works on issues like Candidate gene, which are connected to Molecular genetics and Oncology.

Her most cited work include:

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height (1614 citations)
  • Systematic identification of trans eQTLs as putative drivers of known disease associations (1249 citations)
  • Common genetic determinants of vitamin D insufficiency: a genome-wide association study (1141 citations)

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

Joyce B. J. van Meurs spends much of her time researching Genetics, Internal medicine, Genome-wide association study, DNA methylation and Rotterdam Study. Her research on Genetics often connects related topics like Meta-analysis. Her Internal medicine study incorporates themes from Osteoarthritis, Endocrinology and Allele, Haplotype.

Her studies examine the connections between Genome-wide association study and genetics, as well as such issues in Genetic association, with regards to Computational biology. Her DNA methylation study integrates concerns from other disciplines, such as Offspring, Methylation and Epigenetics. Her research in Rotterdam Study focuses on subjects like Body mass index, which are connected to Obesity.

She most often published in these fields:

  • Genetics (36.12%)
  • Internal medicine (34.36%)
  • Genome-wide association study (25.99%)

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

  • DNA methylation (25.99%)
  • Genetics (36.12%)
  • Epigenetics (14.98%)

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

The scientist’s investigation covers issues in DNA methylation, Genetics, Epigenetics, Rotterdam Study and Internal medicine. Her DNA methylation research incorporates elements of Regulation of gene expression, Type 2 diabetes and Genetic association. Gene, Single-nucleotide polymorphism, Quantitative trait locus, dNaM and Genetic variation are the subjects of her Genetics studies.

She interconnects Methylation, Vitamin B12, F2RL3, Chromatin and Epigenomics in the investigation of issues within Epigenetics. Her studies in Rotterdam Study integrate themes in fields like Microbiome, Framingham Heart Study, Pathophysiology and Cohort. Her Internal medicine research includes themes of Osteoarthritis, Endocrinology, Oncology and Mendelian randomization.

Between 2018 and 2021, her most popular works were:

  • Intestinal microbiome composition and its relation to joint pain and inflammation (35 citations)
  • Role of Epigenomics in Bone and Cartilage Disease (31 citations)
  • Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. (28 citations)

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

  • Gene
  • Internal medicine
  • Genetics

Her main research concerns DNA methylation, Genetics, Rotterdam Study, Epigenetics and Internal medicine. Her study in DNA methylation is interdisciplinary in nature, drawing from both Diabetes mellitus and Type 2 diabetes. Her work is connected to Gene and Allele, as a part of Genetics.

Her Epigenetics research includes elements of Epigenomics, Methylation and Computational biology. Her work deals with themes such as Differentially methylated regions and Oncology, which intersect with Internal medicine. The study incorporates disciplines such as Osteoarthritis, Odds ratio, Genome-wide association study, Hip fracture and Orthopedic surgery in addition to Bone mineral.

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

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

Common genetic determinants of vitamin D insufficiency: a genome-wide association study

Thomas J. Wang;Feng Zhang;J. Brent Richards;Bryan Kestenbaum.
The Lancet (2010)

1586 Citations

Genetics and biology of vitamin D receptor polymorphisms.

André G. Uitterlinden;Yue Fang;Joyce B.J. van Meurs;Huibert A.P. Pols.
Gene (2004)

1517 Citations

Systematic identification of trans eQTLs as putative drivers of known disease associations

Harm-Jan Westra;Marjolein J Peters;Tõnu Esko;Hanieh Yaghootkar.
Nature Genetics (2013)

1344 Citations

Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu.
Nature Genetics (2012)

951 Citations

Homocysteine levels and the risk of osteoporotic fracture.

Joyce B.J. van Meurs;Rosalie A.M. Dhonukshe-Rutten;Saskia M.F. Pluijm;Marjolein van der Klift.
The New England Journal of Medicine (2004)

872 Citations

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Sonja I Berndt;Stefan Gustafsson;Stefan Gustafsson;Reedik Mägi;Reedik Mägi;Andrea Ganna.
Nature Genetics (2013)

532 Citations

DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis

Bonnie R. Joubert;Janine F. Felix;Paul Yousefi;Kelly M. Bakulski.
American Journal of Human Genetics (2016)

530 Citations

DNA methylation-based measures of biological age: meta-analysis predicting time to death

Brian H. Chen;Riccardo E. Marioni;Riccardo E. Marioni;Elena Colicino;Marjolein J. Peters.
Aging (Albany NY) , 8 (9) pp. 1844-1865. (2016) (2016)

522 Citations

Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies

Cathy E. Elks;John R B Perry;Patrick Sulem;Daniel I. Chasman.
Nature Genetics (2010)

492 Citations

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