Jun Wu

235 papers and 14.0k indexed citations i.

About

Jun Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jun Wu has authored 235 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 52 papers in Oncology and 30 papers in Cancer Research. Recurrent topics in Jun Wu’s work include Cancer Mechanisms and Therapy (14 papers), Cytokine Signaling Pathways and Interactions (13 papers) and Electrospun Nanofibers in Biomedical Applications (12 papers). Jun Wu is often cited by papers focused on Cancer Mechanisms and Therapy (14 papers), Cytokine Signaling Pathways and Interactions (13 papers) and Electrospun Nanofibers in Biomedical Applications (12 papers). Jun Wu collaborates with scholars based in China, United States and Canada. Jun Wu's co-authors include Hiroshi Maeda, Tomohiro Sawa, K. Hori, Yasuhiro Matsumura, Takaaki Akaike, Ren‐Ke Li, Richard D. Weisel, Kwok‐Pui Fung, Tai-Wing Wu and Xiwei Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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