What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Disease
- Statistics
Ulrike Gehring mainly focuses on Asthma, Environmental health, Pediatrics, Odds ratio and Environmental exposure.
Her Asthma study combines topics from a wide range of disciplines, such as Cohort study, Allergy and Confidence interval.
Her Environmental health research incorporates elements of Infant newborn and Follow up studies.
Her Pediatrics research is multidisciplinary, relying on both Birth weight, Logistic regression, Gestational age and Intensive care.
Her Odds ratio research includes elements of Wheeze and Respiratory tract infections.
Her work carried out in the field of Environmental exposure brings together such families of science as Sex factors, Pulmonary function testing and Birth cohort.
Her most cited work include:
- Estimating long-term average particulate air pollution concentrations: application of traffic indicators and geographic information systems. (429 citations)
- DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis (419 citations)
- Ambient air pollution and low birthweight: a European cohort study (ESCAPE) (349 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Asthma, Environmental health, Pediatrics, Allergy and Odds ratio.
Her study in Asthma is interdisciplinary in nature, drawing from both Incidence, Birth cohort and Confidence interval.
Ulrike Gehring specializes in Environmental health, namely Environmental exposure.
Her Environmental exposure study incorporates themes from Cross-sectional study and Epidemiology.
Her Pediatrics research integrates issues from Body mass index, Overweight, Pregnancy, Birth weight and Cohort study.
She has included themes like Logistic regression and Risk factor in her Odds ratio study.
She most often published in these fields:
- Asthma (41.28%)
- Environmental health (33.45%)
- Pediatrics (30.25%)
What were the highlights of her more recent work (between 2018-2021)?
- Asthma (41.28%)
- Environmental health (33.45%)
- Incidence (8.19%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Asthma, Environmental health, Incidence, Odds ratio and Confidence interval.
Ulrike Gehring interconnects Birth cohort, Cohort and Allergy in the investigation of issues within Asthma.
Her research integrates issues of Meta-analysis and Confounding in her study of Environmental health.
Her Odds ratio research is multidisciplinary, incorporating perspectives in Lower risk and Logistic regression.
Her Confidence interval research focuses on subjects like Interquartile range, which are linked to Odds.
Ulrike Gehring combines subjects such as Infectious disease, Pediatrics and Subgroup analysis with her study of Early childhood.
Between 2018 and 2021, her most popular works were:
- Associations of combined exposures to surrounding green, air pollution and traffic noise on mental health (46 citations)
- Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight (42 citations)
- Prenatal Particulate Air Pollution and DNA Methylation in Newborns: An Epigenome-Wide Meta-Analysis (28 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Disease
- Statistics
Ulrike Gehring spends much of her time researching Environmental health, Odds ratio, Traffic noise, Asthma and Confounding.
Environmental health is often connected to Meta-analysis in her work.
The study incorporates disciplines such as Logistic regression, Interquartile range and Confidence interval in addition to Odds ratio.
Ulrike Gehring has researched Asthma in several fields, including Allergy, Environmental exposure and Birth cohort.
Her research in Birth cohort intersects with topics in Cohort and Family medicine.
Her Confounding study integrates concerns from other disciplines, such as Birth weight, Linear regression, Waist and Physiology.
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