What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Genetics
Eco J. C. de Geus mostly deals with Genome-wide association study, Genetics, Genetic association, Internal medicine and Heritability.
Eco J. C. de Geus interconnects Quantitative trait locus, Disease, Type 2 diabetes and Bioinformatics in the investigation of issues within Genome-wide association study.
Eco J. C. de Geus has included themes like Meta-analysis and Body mass index in his Genetics study.
His Genetic association research includes themes of Major depressive disorder, Pulse pressure and Bipolar disorder.
His Bipolar disorder study incorporates themes from Genetic heterogeneity and Schizophrenia.
His research in Internal medicine intersects with topics in Endocrinology, Polymorphism and Cardiology.
His most cited work include:
- Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs (1570 citations)
- A mega-analysis of genome-wide association studies for major depressive disorder (882 citations)
- Integrative approaches for large-scale transcriptome-wide association studies (798 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Heritability, Internal medicine and Genetic association.
Genetics is represented through his Single-nucleotide polymorphism, Gene, Locus, Quantitative trait locus and Genetic variation research.
His work carried out in the field of Genome-wide association study brings together such families of science as Expression quantitative trait loci, Allele, Imputation, Major depressive disorder and Candidate gene.
As a part of the same scientific family, he mostly works in the field of Heritability, focusing on Developmental psychology and, on occasion, Cognition.
His Internal medicine research is multidisciplinary, incorporating elements of Endocrinology and Cardiology.
His Genetic association study frequently intersects with other fields, such as Genetic architecture.
He most often published in these fields:
- Genetics (36.31%)
- Genome-wide association study (30.35%)
- Heritability (29.24%)
What were the highlights of his more recent work (between 2018-2021)?
- Genome-wide association study (30.35%)
- Genetics (36.31%)
- Heritability (29.24%)
In recent papers he was focusing on the following fields of study:
His main research concerns Genome-wide association study, Genetics, Heritability, Genetic association and Genetic correlation.
His Genome-wide association study research incorporates elements of Mendelian randomization, Copy-number variation, Brain morphometry, Internal medicine and Zebrafish.
He combines subjects such as Oncology and Cardiology with his study of Internal medicine.
His Genetics study integrates concerns from other disciplines, such as Schizophrenia and Gut flora.
Eco J. C. de Geus is interested in Twin study, which is a field of Heritability.
His studies in Genetic association integrate themes in fields like Sample size determination, Participation bias, Allele, Genetic variation and Genetic architecture.
Between 2018 and 2021, his most popular works were:
- Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors (129 citations)
- Multivariate genome-wide analyses of the well-being spectrum. (81 citations)
- Multivariate genome-wide analyses of the well-being spectrum. (81 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Genetics
Eco J. C. de Geus spends much of his time researching Genome-wide association study, Genetics, Brain morphometry, Genetic association and Internal medicine.
His Genome-wide association study research includes themes of Caudate nucleus, Mendelian randomization and Genetic architecture.
His work deals with themes such as Gut flora and Significant difference, which intersect with Genetics.
Eco J. C. de Geus has researched Brain morphometry in several fields, including Schizophrenia, Bipolar disorder, Genetic variants, Brain size and Etiology.
The study incorporates disciplines such as Body mass index, Sample size determination, Participation bias, Allele and Locus in addition to Genetic association.
In his study, Chronotropic and Heart period variability is strongly linked to Cardiology, which falls under the umbrella field of Internal medicine.
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.
