Kai-nan Wu

55 papers and 832 indexed citations i.

About

Kai-nan Wu is a scholar working on Oncology, Cancer Research and Epidemiology. According to data from OpenAlex, Kai-nan Wu has authored 55 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 20 papers in Cancer Research and 13 papers in Epidemiology. Recurrent topics in Kai-nan Wu’s work include Breast Cancer Treatment Studies (10 papers), Cancer Risks and Factors (9 papers) and Cancer, Lipids, and Metabolism (7 papers). Kai-nan Wu is often cited by papers focused on Breast Cancer Treatment Studies (10 papers), Cancer Risks and Factors (9 papers) and Cancer, Lipids, and Metabolism (7 papers). Kai-nan Wu collaborates with scholars based in China, United States and Japan. Kai-nan Wu's co-authors include Edward L. Giovannucci, Charles S. Fuchs, Lingquan Kong, W. C. Willett, Bruce W. Hollis, Diane Feskanich, Zhou Xu, Hao Li, Hongyuan Li and Yutuan Wu and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and JNCI Journal of the National Cancer Institute.

In The Last Decade

Co-authorship network of co-authors of Kai-nan Wu i

Fields of papers citing papers by Kai-nan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-nan Wu. 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 Kai-nan Wu. The network helps show where Kai-nan Wu may publish in the future.

Countries citing papers authored by Kai-nan Wu

Since Specialization
Citations

This map shows the geographic impact of Kai-nan Wu'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 Kai-nan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-nan Wu 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