What is she best known for?
The fields of study she is best known for:
- Cancer
- Internal medicine
- Gene
Maria Feychting focuses on Epidemiology, Risk factor, Cancer, Cohort study and Case-control study.
Her Epidemiology study combines topics from a wide range of disciplines, such as Demography, MEDLINE and Environmental health.
Her Risk factor research includes themes of Gynecology and Surgery.
As a part of the same scientific study, Maria Feychting usually deals with the Cancer, concentrating on Incidence and frequently concerns with Confidence interval, Melatonin, Stomach cancer and Skin cancer.
The concepts of her Cohort study study are interwoven with issues in Prostate cancer and Cohort.
Her research in Case-control study intersects with topics in Odds ratio, Relative risk, Pediatrics and Glioma.
Her most cited work include:
- External review and validation of the Swedish national inpatient register (2661 citations)
- Genome-wide association study identifies five susceptibility loci for glioma (640 citations)
- A pooled analysis of magnetic fields and childhood leukaemia. (579 citations)
What are the main themes of her work throughout her whole career to date?
Maria Feychting mostly deals with Internal medicine, Epidemiology, Odds ratio, Case-control study and Demography.
Her Internal medicine research is multidisciplinary, relying on both Surgery, Oncology and Glioma.
The various areas that she examines in her Epidemiology study include Mobile phone, Environmental health, Public health, Pediatrics and Risk factor.
Her Odds ratio study incorporates themes from Family history and Confidence interval.
Her Case-control study research is multidisciplinary, incorporating perspectives in Offspring and Immunology.
Maria Feychting interconnects Childhood cancer, Socioeconomic status, Incidence and Gerontology in the investigation of issues within Demography.
She most often published in these fields:
- Internal medicine (24.44%)
- Epidemiology (24.07%)
- Odds ratio (21.11%)
What were the highlights of her more recent work (between 2015-2021)?
- Cohort study (16.30%)
- Demography (18.15%)
- Cancer (17.78%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Cohort study, Demography, Cancer, Internal medicine and Case-control study.
Her research integrates issues of Prospective cohort study, Proportional hazards model, Breast cancer, Pediatrics and Cohort in her study of Cohort study.
Her research integrates issues of Relative risk, Medulloblastoma, Genetic predisposition and Germline in her study of Cancer.
The various areas that she examines in her Internal medicine study include Endocrinology, Cumulative Exposure, Oncology and Glioma.
Her work carried out in the field of Case-control study brings together such families of science as Odds ratio, Birth Year, Confidence interval and Epidemiology.
The study incorporates disciplines such as Recall bias and Environmental health in addition to Epidemiology.
Between 2015 and 2021, her most popular works were:
- The Swedish cause of death register. (326 citations)
- Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort (125 citations)
- Marital status, education, and income in relation to the risk of esophageal and gastric cancer by histological type and site. (36 citations)
In her most recent research, the most cited papers focused on:
- Cancer
- Internal medicine
- Gene
Her primary scientific interests are in Demography, Case-control study, Cancer, Cohort study and Oncology.
Maria Feychting has included themes like Odds ratio, Pregnancy, Allele and Single-nucleotide polymorphism, Genetic association in her Case-control study study.
The Cancer study combines topics in areas such as Medulloblastoma and Genetic predisposition.
Maria Feychting interconnects Marital status, Incidence, Poisson regression and Gerontology in the investigation of issues within Cohort study.
Maria Feychting studied Poisson regression and Epidemiology that intersect with Glioma.
Her Oncology research includes elements of Internal medicine, Logistic regression and Genome-wide association study.
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