Erxi Wu

160 papers and 6.2k indexed citations i.

About

Erxi Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Erxi Wu has authored 160 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 44 papers in Oncology and 38 papers in Cancer Research. Recurrent topics in Erxi Wu’s work include Cancer Cells and Metastasis (16 papers), Pancreatic and Hepatic Oncology Research (15 papers) and Cancer, Hypoxia, and Metabolism (14 papers). Erxi Wu is often cited by papers focused on Cancer Cells and Metastasis (16 papers), Pancreatic and Hepatic Oncology Research (15 papers) and Cancer, Hypoxia, and Metabolism (14 papers). Erxi Wu collaborates with scholars based in United States, China and Italy. Erxi Wu's co-authors include Qingyong Ma, Fengfei Wang, Qinhong Xu, Wanxing Duan, Xuqi Li, Jianjun Lei, Jiguang Ma, Shuang Zhou, Jason H. Huang and Han Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

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

Fields of papers citing papers by Erxi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Erxi Wu

Since Specialization
Citations

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