Lingxiang Wu

44 papers and 640 indexed citations i.

About

Lingxiang Wu is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Lingxiang Wu has authored 44 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Lingxiang Wu’s work include COVID-19 Clinical Research Studies (5 papers), Cancer-related molecular mechanisms research (4 papers) and Knee injuries and reconstruction techniques (4 papers). Lingxiang Wu is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Cancer-related molecular mechanisms research (4 papers) and Knee injuries and reconstruction techniques (4 papers). Lingxiang Wu collaborates with scholars based in China, United States and Poland. Lingxiang Wu's co-authors include Yunsheng Ge, Pengyun Zhang, Shiyi Chen, Wei Wu, Qianghu Wang, Mengyan Zhu, Kening Li, Kai Gao, Hong Li and Bin Huang and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Lingxiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingxiang Wu

Since Specialization
Citations

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