What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Disease
- Asthma
Her scientific interests lie mostly in Asthma, Immunology, Internal medicine, Allergy and Atopy.
The Asthma study combines topics in areas such as Odds ratio, Incidence, Epidemiology, Pediatrics and Risk factor.
Her research integrates issues of Cross-sectional study and Confidence interval in her study of Odds ratio.
Her Epidemiology research includes themes of Respiratory disease, Physical therapy and Cohort study.
Her Immunology research incorporates elements of Genotype and Locus.
Her Atopy research is multidisciplinary, incorporating perspectives in Ragweed, Allergen and Mite.
Her most cited work include:
- Rhinitis and onset of asthma: a longitudinal population-based study (409 citations)
- Impact of gender on asthma in childhood and adolescence: a GA2LEN review. (403 citations)
- Sensitisation to airborne moulds and severity of asthma: cross sectional study from European Community respiratory health survey (391 citations)
What are the main themes of her work throughout her whole career to date?
Bénédicte Leynaert focuses on Asthma, Internal medicine, Epidemiology, FEV1/FVC ratio and Pediatrics.
Her Asthma study integrates concerns from other disciplines, such as Odds ratio, Allergy and Risk factor.
In her study, Menarche is strongly linked to Confidence interval, which falls under the umbrella field of Odds ratio.
Her Internal medicine study combines topics in areas such as Physical therapy and Endocrinology.
As a member of one scientific family, Bénédicte Leynaert mostly works in the field of Epidemiology, focusing on Environmental health and, on occasion, Air pollution.
Her biological study spans a wide range of topics, including Logistic regression, Obesity, Hay fever, Environmental exposure and Cohort.
She most often published in these fields:
- Asthma (71.55%)
- Internal medicine (34.31%)
- Epidemiology (24.69%)
What were the highlights of her more recent work (between 2018-2021)?
- Asthma (71.55%)
- Internal medicine (34.31%)
- Spirometry (14.64%)
In recent papers she was focusing on the following fields of study:
Bénédicte Leynaert mainly investigates Asthma, Internal medicine, Spirometry, Lung function and Vital capacity.
Her Asthma study combines topics from a wide range of disciplines, such as Odds ratio, Dermatology and Cohort study.
Her Internal medicine and FEV1/FVC ratio, COPD, Respiratory health, Epidemiology and Respiratory system investigations all form part of her Internal medicine research activities.
Her Epidemiology research incorporates themes from Disease and Risk factor.
Her Lung function research includes elements of Multi centre, Pediatrics, Bioinformatics and Environmental health.
Her research in Vital capacity intersects with topics in Menarche, Menopause, Pulmonary function testing and Confounding.
Between 2018 and 2021, her most popular works were:
- Time and age trends in smoking cessation in Europe. (93 citations)
- Data-driven adult asthma phenotypes based on clinical characteristics are associated with asthma outcomes twenty years later. (13 citations)
- Body mass index and weight change are associated with adult lung function trajectories: the prospective ECRHS study (10 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Disease
- Asthma
Bénédicte Leynaert spends much of her time researching Internal medicine, Asthma, Respiratory health, European community and Epidemiology.
Her Internal medicine study is mostly concerned with FEV1/FVC ratio, COPD, Vital capacity, Chronic bronchitis and Menopause.
Her study in Asthma is interdisciplinary in nature, drawing from both Odds ratio, Quality of life and Lung function.
Her work deals with themes such as Air pollution exposure, Respiratory disease, Logistic regression, Quartile and Regression analysis, which intersect with Odds ratio.
Her studies in Respiratory health integrate themes in fields like Follow up studies and Passive smoking.
Her studies deal with areas such as Obesity, Cross-sectional study, Clinical significance, Lung and Disease as well as Epidemiology.
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.
