Siying Wu

107 papers and 1.9k indexed citations i.

About

Siying Wu is a scholar working on Molecular Biology, Cancer Research and General Health Professions. According to data from OpenAlex, Siying Wu has authored 107 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 20 papers in Cancer Research and 18 papers in General Health Professions. Recurrent topics in Siying Wu’s work include Cancer-related molecular mechanisms research (15 papers), Healthcare professionals’ stress and burnout (11 papers) and MicroRNA in disease regulation (9 papers). Siying Wu is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), Healthcare professionals’ stress and burnout (11 papers) and MicroRNA in disease regulation (9 papers). Siying Wu collaborates with scholars based in China, United States and Hong Kong. Siying Wu's co-authors include Huangyuan Li, Wei Zhu, Mianzhen Wang, Huangyuan Li, Zhiming Wang, Shaowei Lin, Yajia Lan, Nian Shi, Huangyuan Li and Fuli Zheng and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and American Journal of Public Health.

In The Last Decade

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

Fields of papers citing papers by Siying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siying Wu

Since Specialization
Citations

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