Cancer Epidemiology Biomarkers & Prevention
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In The Last Decade
Cancer Epidemiology Biomarkers & Prevention
6.2k papers receiving 245.5k citations
Fields of papers published in Cancer Epidemiology Biomarkers & Prevention
This network shows the impact of papers published in Cancer Epidemiology Biomarkers & Prevention. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Cancer Epidemiology Biomarkers & Prevention.
Countries where authors publish in Cancer Epidemiology Biomarkers & Prevention
This map shows the geographic impact of research published in Cancer Epidemiology Biomarkers & Prevention. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Cancer Epidemiology Biomarkers & Prevention with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cancer Epidemiology Biomarkers & Prevention more than expected).
- Global Cancer Incidence and Mortality Rates and Trends—An Update (2015)
- Global Patterns of Cancer Incidence and Mortality Rates and Trends (2010)
- Human Papillomavirus Types in Head and Neck Squamous Cell Carcinomas Worldwide: A Systematic Review (2005)
- Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis (2006)
- Complementing the Genome with an “Exposome”: The Outstanding Challenge of Environmental Exposure Measurement in Molecular Epidemiology (2005)
- The Enigmatic Epidemiology of Nasopharyngeal Carcinoma (2006)
- Epidemiologic and Molecular Prognostic Review of Glioblastoma (2014)
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.