Wanying Wu

47 total papers · 3.7k total citations
23 papers, 915 citations indexed

About

Wanying Wu is a scholar working on Materials Chemistry, Molecular Biology and Cancer Research. According to data from OpenAlex, Wanying Wu has authored 23 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 6 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Wanying Wu's work include Luminescence Properties of Advanced Materials (6 papers), Circular RNAs in diseases (5 papers) and MicroRNA in disease regulation (5 papers). Wanying Wu is often cited by papers focused on Luminescence Properties of Advanced Materials (6 papers), Circular RNAs in diseases (5 papers) and MicroRNA in disease regulation (5 papers). Wanying Wu collaborates with scholars based in China, United States and Thailand. Wanying Wu's co-authors include Fangqing Zhao, Peifeng Ji, Jinyang Zhang, Shuai Chen, Xiaofei Cao, Diyun Chen, Lin Zhou, Yi Zheng, Minhua Su and Nan Chen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Hazardous Materials.

In The Last Decade

Wanying Wu

22 papers receiving 907 citations

Hit Papers

CircAtlas: an integrated ... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Wanying Wu 681 573 105 76 67 23 915
Xiaotian He 534 0.8× 433 0.8× 99 0.9× 54 0.7× 65 1.0× 46 1.0k
Liyuan Wang 456 0.7× 342 0.6× 41 0.4× 47 0.6× 17 0.3× 19 867
Ming Dong 290 0.4× 149 0.3× 121 1.2× 160 2.1× 36 0.5× 52 991
Ling Qian 468 0.7× 229 0.4× 70 0.7× 18 0.2× 25 0.4× 23 828
Yong Han 543 0.8× 305 0.5× 156 1.5× 96 1.3× 30 0.4× 38 1.1k
Jia-Yin Lin 394 0.6× 238 0.4× 264 2.5× 49 0.6× 56 0.8× 61 1.2k
Mengchen Li 288 0.4× 153 0.3× 100 1.0× 90 1.2× 93 1.4× 39 836
Shuai Gao 582 0.9× 160 0.3× 64 0.6× 28 0.4× 18 0.3× 52 1.2k
Jianqi Liu 315 0.5× 226 0.4× 171 1.6× 120 1.6× 31 0.5× 47 950
Zezhi Shan 456 0.7× 310 0.5× 191 1.8× 89 1.2× 8 0.1× 30 950

Countries citing papers authored by Wanying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wanying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wanying Wu. A scholar is included among the top collaborators of Wanying 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 Wanying Wu. Wanying 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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