Song Wu

123 papers and 2.0k indexed citations i.

About

Song Wu is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Song Wu has authored 123 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 22 papers in Cancer Research and 17 papers in Infectious Diseases. Recurrent topics in Song Wu’s work include Biochemical and Structural Characterization (15 papers), Antimicrobial Resistance in Staphylococcus (15 papers) and Cancer-related molecular mechanisms research (14 papers). Song Wu is often cited by papers focused on Biochemical and Structural Characterization (15 papers), Antimicrobial Resistance in Staphylococcus (15 papers) and Cancer-related molecular mechanisms research (14 papers). Song Wu collaborates with scholars based in China, United States and Hong Kong. Song Wu's co-authors include Shuang Jiang, Dan Xie, Jian Lei, Jian Lü, Yi-Ji Liao, Junhang Luo, Wei Chen, Hui‐Yun Wang, Zhenhua Chen and Bing Liao and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of Molecular Biology.

In The Last Decade

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

Fields of papers citing papers by Song Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Wu

Since Specialization
Citations

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