Yun Wu

105 papers and 4.9k indexed citations i.

About

Yun Wu is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Yun Wu has authored 105 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Oncology, 34 papers in Cancer Research and 33 papers in Molecular Biology. Recurrent topics in Yun Wu’s work include HER2/EGFR in Cancer Research (22 papers), Breast Lesions and Carcinomas (19 papers) and Breast Cancer Treatment Studies (17 papers). Yun Wu is often cited by papers focused on HER2/EGFR in Cancer Research (22 papers), Breast Lesions and Carcinomas (19 papers) and Breast Cancer Treatment Studies (17 papers). Yun Wu collaborates with scholars based in United States, China and Taiwan. Yun Wu's co-authors include Funda Meric‐Bernstam, Ana M. González-Angulo, Elizabeth A. Mittendorf, Argun Akçakanat, Ralph B. Arlinghaus, Gheath Alatrash, Akhil Chawla, Jennifer K. Litton, Susan M. Harrington and Anne V. Philips and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of Yun Wu i

Fields of papers citing papers by Yun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Wu

Since Specialization
Citations

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