Xinxing Wu

44 papers and 825 indexed citations i.

About

Xinxing Wu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Xinxing Wu has authored 44 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Immunology. Recurrent topics in Xinxing Wu’s work include Cancer-related Molecular Pathways (6 papers), Cervical Cancer and HPV Research (6 papers) and NF-κB Signaling Pathways (5 papers). Xinxing Wu is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Cervical Cancer and HPV Research (6 papers) and NF-κB Signaling Pathways (5 papers). Xinxing Wu collaborates with scholars based in China, United States and The Netherlands. Xinxing Wu's co-authors include Li Duan, Jun Yao, Hui Li, Zhenhua Zou, S.K. Nair, James E. Bradner, L-F Chen, H Zhang, Jun Qi and Bin Huang and has published in prestigious journals such as The EMBO Journal, The Journal of Immunology and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Xinxing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xinxing Wu

Since Specialization
Citations

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