Liang Wu

135 papers and 967 indexed citations i.

About

Liang Wu is a scholar working on Surgery, Neurology and Epidemiology. According to data from OpenAlex, Liang Wu has authored 135 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Surgery, 39 papers in Neurology and 26 papers in Epidemiology. Recurrent topics in Liang Wu’s work include Neurofibromatosis and Schwannoma Cases (19 papers), Meningioma and schwannoma management (15 papers) and Neurosurgical Procedures and Complications (13 papers). Liang Wu is often cited by papers focused on Neurofibromatosis and Schwannoma Cases (19 papers), Meningioma and schwannoma management (15 papers) and Neurosurgical Procedures and Complications (13 papers). Liang Wu collaborates with scholars based in China, United States and Sweden. Liang Wu's co-authors include Yulun Xu, Jun Yang, Xiaofeng Deng, Chenlong Yang, Jingyi Fang, Bo Sun, Xinxin Ye, Hongying Li, Yibing Ma and Ning Yao and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Liang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liang Wu

Since Specialization
Citations

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