Division of Cancer Epidemiology and Genetics

5.5k papers and 296.4k indexed citations i.

About

In recent decades, authors affiliated with Division of Cancer Epidemiology and Genetics have published 5.5k papers, which have received a total of 296.4k indexed citations. Scholars at this organization have produced 1.5k papers in Oncology, 1.0k papers in Molecular Biology and 914 papers in Epidemiology on the topics of Cancer Risks and Factors (433 papers), Cervical Cancer and HPV Research (419 papers) and Nutritional Studies and Diet (339 papers). Their work is cited by papers focused on Oncology (68.9k citations), Molecular Biology (64.7k citations) and Epidemiology (50.5k citations). Authors at Division of Cancer Epidemiology and Genetics collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of Division of Cancer Epidemiology and Genetics's most productive authors include Susan S. Devesa, Katherine A. McGlynn, Eric A. Engels, Charles E. Matthews, Joseph F. Fraumeni, Ruth M. Pfeiffer, Christian C. Abnet, Barry I. Graubard, Stephen J. Chanock and Mitchell H. Gail.

In The Last Decade

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.

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).

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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