Yingxue Fu

73 total papers · 1.6k total citations
47 papers, 1.1k citations indexed

About

Yingxue Fu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, Yingxue Fu has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 7 papers in Cell Biology. Recurrent topics in Yingxue Fu's work include Computational Drug Discovery Methods (13 papers), Bioinformatics and Genomic Networks (9 papers) and Advanced Proteomics Techniques and Applications (7 papers). Yingxue Fu is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Bioinformatics and Genomic Networks (9 papers) and Advanced Proteomics Techniques and Applications (7 papers). Yingxue Fu collaborates with scholars based in China, United States and Hong Kong. Yingxue Fu's co-authors include Yonghua Wang, Chunli Zheng, Chao Huang, Xuetong Chen, Zihu Guo, Ziyin Wu, Hao Sun, Xiaoquan Liu, Piar Ali Shar and Jianling Liu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Bioinformatics.

In The Last Decade

Yingxue Fu

41 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Yingxue Fu 589 299 227 184 155 47 1.1k
Xuetong Chen 518 0.9× 290 1.0× 280 1.2× 215 1.2× 174 1.1× 45 1.1k
Wenwen Lian 570 1.0× 180 0.6× 125 0.6× 115 0.6× 196 1.3× 57 1.2k
Zhiyong Li 623 1.1× 142 0.5× 308 1.4× 244 1.3× 144 0.9× 47 1.4k
Bo Zhang 477 0.8× 162 0.5× 311 1.4× 312 1.7× 145 0.9× 21 951
Runzhi Zhang 582 1.0× 195 0.7× 358 1.6× 294 1.6× 173 1.1× 18 1.1k
Shihuan Tang 733 1.2× 240 0.8× 454 2.0× 471 2.6× 195 1.3× 80 1.4k
Kwang‐Seok Oh 580 1.0× 284 0.9× 95 0.4× 83 0.5× 166 1.1× 83 1.3k
Rongrong Zhou 464 0.8× 134 0.4× 262 1.2× 219 1.2× 163 1.1× 28 963
Ni Ai 614 1.0× 126 0.4× 153 0.7× 144 0.8× 85 0.5× 33 1.0k
Tianyi Yuan 526 0.9× 76 0.3× 155 0.7× 165 0.9× 207 1.3× 56 1.2k

Countries citing papers authored by Yingxue Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yingxue Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxue Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxue Fu. A scholar is included among the top collaborators of Yingxue Fu 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 Yingxue Fu. Yingxue Fu 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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2026