Xingui Wu

45 total papers · 1.1k total citations
21 papers, 690 citations indexed

About

Xingui Wu is a scholar working on Molecular Biology, Cancer Research and Complementary and alternative medicine. According to data from OpenAlex, Xingui Wu has authored 21 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Complementary and alternative medicine. Recurrent topics in Xingui Wu's work include RNA modifications and cancer (7 papers), Acupuncture Treatment Research Studies (5 papers) and Cancer-related molecular mechanisms research (4 papers). Xingui Wu is often cited by papers focused on RNA modifications and cancer (7 papers), Acupuncture Treatment Research Studies (5 papers) and Cancer-related molecular mechanisms research (4 papers). Xingui Wu collaborates with scholars based in China, United States and Australia. Xingui Wu's co-authors include Yameng Hu, Shuxia Zhang, Libing Song, Jun Li, Ziwen Li, Ruyuan Yu, Miaoling Tang, Junjun Ding, Wei Zhao and Meisongzhu Yang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

In The Last Decade

Xingui Wu

18 papers receiving 686 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xingui Wu 563 320 83 45 44 21 690
Lu Zhang 473 0.8× 348 1.1× 73 0.9× 47 1.0× 62 1.4× 26 674
Fei Xu 487 0.9× 206 0.6× 85 1.0× 45 1.0× 63 1.4× 22 591
Di Peng 512 0.9× 273 0.9× 64 0.8× 52 1.2× 27 0.6× 25 667
Hong Wang 503 0.9× 187 0.6× 115 1.4× 51 1.1× 58 1.3× 20 738
Xuejiao Chen 469 0.8× 184 0.6× 102 1.2× 31 0.7× 59 1.3× 22 655
Huaping Xiong 527 0.9× 255 0.8× 69 0.8× 31 0.7× 36 0.8× 20 745
Haotian Liao 629 1.1× 487 1.5× 67 0.8× 53 1.2× 26 0.6× 11 720
Xiaodi Li 441 0.8× 303 0.9× 37 0.4× 19 0.4× 43 1.0× 34 598
Fang Zheng 421 0.7× 276 0.9× 82 1.0× 61 1.4× 51 1.2× 20 660
Xueyou Ma 482 0.9× 260 0.8× 79 1.0× 173 3.8× 42 1.0× 29 675

Countries citing papers authored by Xingui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xingui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingui Wu. A scholar is included among the top collaborators of Xingui Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xingui Wu. Xingui Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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