Sue Zaleski

21 papers and 448 indexed citations i.

About

Sue Zaleski is a scholar working on Epidemiology, Oncology and Artificial Intelligence. According to data from OpenAlex, Sue Zaleski has authored 21 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 4 papers in Oncology and 3 papers in Artificial Intelligence. Recurrent topics in Sue Zaleski’s work include Cervical Cancer and HPV Research (10 papers), Ovarian cancer diagnosis and treatment (3 papers) and AI in cancer detection (3 papers). Sue Zaleski is often cited by papers focused on Cervical Cancer and HPV Research (10 papers), Ovarian cancer diagnosis and treatment (3 papers) and AI in cancer detection (3 papers). Sue Zaleski collaborates with scholars based in United States. Sue Zaleski's co-authors include Diane D. Davey, Michael B. Cohen, Lester J. Layfield, J Bénda, Jeffrey J. Eċkardt, Kevin Armstrong, L P Turek, Depeng Jiang, J R Johnson and C. F. Lynch and has published in prestigious journals such as Cancer, American Journal of Clinical Pathology and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Co-authorship network of co-authors of Sue Zaleski i

Fields of papers citing papers by Sue Zaleski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue Zaleski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sue Zaleski. The network helps show where Sue Zaleski may publish in the future.

Countries citing papers authored by Sue Zaleski

Since Specialization
Citations

This map shows the geographic impact of Sue Zaleski's research. 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 Sue Zaleski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Zaleski 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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2025