Cancer Epidemiology Biomarkers and Prevention
Journal Title
- Cancer Epidemiology Biomarkers and Prevention
ISSN
- E 1538-7755 | P 1055-9965 | 1055-9965 | 1538-7755
Publisher
- American Association for Cancer Research
Listed on(Coverage)
JCR | 1997-2019 |
SJR | 1999-2019 |
CiteScore | 2011-2019 |
SCI | 2010-2019 |
SCIE | 2010-2021 |
CC | 2016-2021 |
SCOPUS | 2017-2020 |
MEDLINE | 2016-2021 |
EMBASE | 2016-2020 |
Aime & Scopes
- Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach.
1.Epidemiology
Submissions related to descriptive and analytic studies of human cancer and related disorders as well as studies describing new methods in relevant areas. We also welcome statistical methods and computational models as related to epidemiology, the use of biomarkers for measuring exposure or characterizing disease or precursor conditions, or cancer prevention.
2.Genetic & Molecular Epidemiology
Submissions that include studies of families or unrelated individuals that examine DNA-based or other molecular exposures in relation to cancer.
3.Nutrition & Energy Balance
Submissions on all aspects of nutrition and energy balance and human cancer, including population studies and experimental human feeding and exercise trials, as well as studies describing new methods in relevant areas.
4.Methods & Models
Submissions related to statistical methods or computational models in cancer research. The methods or models should be related to epidemiology; the use of biomarkers for measuring exposure or characterizing disease or precursor conditions; or cancer prevention.
5.Biomarkers, -Omics & Systems Biology
Submissions related to all aspects of the development of biomarkers and the use of -omics approaches for risk, screening, early detection, diagnosis, and molecular classification of human cancer, as well as studies describing new methods in relevant areas.
6.Biospecimens & Biorepositiories
Submissions that incorporate any aspects of methodologies for the collection, storage, management, and distribution of biological samples in studies of cancer in humans, as well as studies describing optimal conditions and methods in relevant areas of biospecimen science.
7.Screening & Early Detection
Submissions related to all aspects of the biology of screening and early detection of cancer in humans, as well as studies describing new methods in relevant areas.
8.Behavioral & Intervention Research
Submissions that examine determinants of both risky and protective behaviors as well as interventions to promote risk-reducing behaviors, including smoking cessation and prevention; prevention-, screening and early-detection-associated behaviors; relevant interventions; policy studies; decision-making studies; quality-of-life studies; late effects of cancer treatment and survivorship; and studies describing new methods.
9.Survivorship & Supportive Care
Submissions related to all aspects of both observational and interventional cancer survivorship in humans. Population studies, as well as studies describing new methods in relevant areas, are of particular interest.
10.Cancer Health Disparities
Submissions that explore the differences in cancer prevalence, mortality, survivorship, and burden among specific population groups.
11.Cancer Surveillance Research
Original reports using cancer case and population-based data to examine, test, and develop hypotheses for cancer incidence, mortality, and prevalence.