Division of Cancer Epidemiology and Genetics

386.2k citations
6.3k papers ·

Impact in

Papers in

    • Carcinogens and Genotoxicity Assessment 242
    • Viral-associated cancers and disorders 256
    • Cancer Risks and Factors 238
    • Global Cancer Incidence and Screening 202

Division of Cancer Epidemiology and Genetics

5.2k papers receiving 299.5k citations

Peers

Division of Cancer Epidemiology and Genetics
Comparison fields: 5 of 246
  • Cancer Research 37.0k
  • Oncology 65.6k
  • Epidemiology 49.8k
  • Pathology and Forensic Medicine 25.1k
  • Otorhinolaryngology 5.8k
Replace GlaxoSmithKline (United States) with:
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National Center for Health Statistics United States
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National Cancer Center United States
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Institute for Clinical Evaluative Sciences Canada
Massachusetts Department of Public Health United States
Triangle United States
McMaster University Medical Centre Canada
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Citations per year

Countries citing scholars working at Division of Cancer Epidemiology and Genetics

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Division of Cancer Epidemiology and Genetics. 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 produced at Division of Cancer Epidemiology and Genetics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Division of Cancer Epidemiology and Genetics more than expected).

Fields of papers published by authors at Division of Cancer Epidemiology and Genetics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Division of Cancer Epidemiology and Genetics at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Division of Cancer Epidemiology and Genetics at the time of their publication.

About Division of Cancer Epidemiology and Genetics

In recent decades, authors affiliated with Division of Cancer Epidemiology and Genetics have published 6.3k papers, which have received a total of 386.2k indexed citations . Scholars at this organization have produced 628 papers in Cancer Research, 1.1k papers in Oncology, 131 papers in Radiological and Ultrasound Technology, 448 papers in Pathology and Forensic Medicine and 363 papers in Health, Toxicology and Mutagenesis on the topics of Cervical Cancer and HPV Research (452 papers), Genetic Associations and Epidemiology (261 papers), Viral-associated cancers and disorders (256 papers), Carcinogens and Genotoxicity Assessment (242 papers), Cancer Risks and Factors (238 papers), Radiation Dose and Imaging (221 papers), Global Cancer Incidence and Screening (202 papers) and Nutritional Studies and Diet (196 papers). Their work is cited by papers focused on Cancer Research (37.0k citations), Oncology (65.6k citations), Epidemiology (49.8k citations), Pathology and Forensic Medicine (25.1k citations) and Otorhinolaryngology (5.8k citations). Authors at Division of Cancer Epidemiology and Genetics collaborate with scholars in United States, United Kingdom and China and have published in prestigious journals including International Journal of Cancer, Cancer Epidemiology Biomarkers & Prevention, JNCI Journal of the National Cancer Institute, Cancer Causes & Control and British Journal of Cancer. Some of Division of Cancer Epidemiology and Genetics's most productive authors include Susan S. Devesa, Eric A. Engels, Charles Edwards Matthews, Katherine A. McGlynn, Ruth Pfieffer, Joseph F. Fraumeni, Christian C. Abnet, Mitchell H. Gail, Barry I. Graubard and Stephen Jacob Chanock.

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.

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