What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Psychiatry
His primary scientific interests are in Generation R, Genome-wide association study, Pregnancy, Genetics and Cohort study.
Henning Tiemeier interconnects Birth weight, Developmental psychology, Obstetrics, Pediatrics and Cohort in the investigation of issues within Generation R.
His work in Genome-wide association study tackles topics such as Genetic association which are related to areas like Quantitative trait locus and Schizophrenia.
His Pregnancy research integrates issues from Endocrinology, Thyroid and Internal medicine.
His study explores the link between Internal medicine and topics such as Depression that cross with problems in Clinical psychology and Anxiety.
Henning Tiemeier focuses mostly in the field of Cohort study, narrowing it down to matters related to Psychiatry and, in some cases, Risk factor.
His most cited work include:
- The Rotterdam Study: Objectives and design update (1307 citations)
- Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)
- Genome-wide meta-analyses identify multiple loci associated with smoking behavior (913 citations)
What are the main themes of his work throughout his whole career to date?
Henning Tiemeier focuses on Generation R, Pregnancy, Internal medicine, Clinical psychology and Developmental psychology.
His Generation R research includes themes of Psychiatry, Child Behavior Checklist, Pediatrics and Cohort.
His research in Cohort focuses on subjects like Demography, which are connected to Body mass index.
His Pregnancy research is multidisciplinary, relying on both Cohort study and Obstetrics.
His Internal medicine research is multidisciplinary, incorporating perspectives in Endocrinology, Depression and Cardiology.
His study on Early childhood is often connected to Association and Injury prevention as part of broader study in Developmental psychology.
He most often published in these fields:
- Generation R (37.02%)
- Pregnancy (28.78%)
- Internal medicine (19.48%)
What were the highlights of his more recent work (between 2019-2021)?
- Generation R (37.02%)
- Clinical psychology (21.03%)
- Pregnancy (28.78%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Generation R, Clinical psychology, Pregnancy, Cohort and Offspring.
His research integrates issues of Longitudinal study, Child Behavior Checklist, Diffusion MRI, Cognition and Mental health in his study of Generation R.
His biological study spans a wide range of topics, including Genetic correlation, Autism and Epidemiology.
He combines subjects such as Brain morphometry, Cohort study, Physiology and Obstetrics with his study of Pregnancy.
His Cohort study study integrates concerns from other disciplines, such as Public health and Confidence interval.
His work deals with themes such as Population based, Demography and Developmental psychology, which intersect with Cohort.
Between 2019 and 2021, his most popular works were:
- Minimal phenotyping yields genome-wide association signals of low specificity for major depression (44 citations)
- Minimal phenotyping yields genome-wide association signals of low specificity for major depression (44 citations)
- Bivariate genome-wide association analyses of the broad depression phenotype combined with major depressive disorder, bipolar disorder or schizophrenia reveal eight novel genetic loci for depression (30 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Psychiatry
His main research concerns Clinical psychology, Pregnancy, Generation R, Genetic association and Cohort.
The Pregnancy study combines topics in areas such as Pediatrics and Cohort study.
The various areas that he examines in his Generation R study include Brain size and Child Behavior Checklist.
His Genetic association study incorporates themes from Genome-wide association study, Disease and Genome.
In his research, Genetic architecture is intimately related to Major depressive disorder, which falls under the overarching field of Genome-wide association study.
His Cohort research focuses on Offspring and how it relates to Physiology, Intelligence quotient, Brain development and Population based.
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