Jing‐biao Wu

27 total papers · 804 total citations
17 papers, 486 citations indexed

About

Jing‐biao Wu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Jing‐biao Wu has authored 17 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Jing‐biao Wu's work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers) and Macrophage Migration Inhibitory Factor (3 papers). Jing‐biao Wu is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers) and Macrophage Migration Inhibitory Factor (3 papers). Jing‐biao Wu collaborates with scholars based in China and Hong Kong. Jing‐biao Wu's co-authors include Xin‐hua Liang, Ya‐ling Tang, Shasha Wang, Xin Pang, Jia‐shun Wu, Ya‐Jie Tang, Min Zheng, Mei Zhang, Xianghua Yu and Xiao Yang and has published in prestigious journals such as PLoS ONE, Optics Letters and Frontiers in Microbiology.

In The Last Decade

Jing‐biao Wu

16 papers receiving 483 citations

Author Peers

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

Author Last Decade Papers Cites
Jing‐biao Wu 226 177 149 106 47 17 486
Wenyi Yang 229 1.0× 172 1.0× 106 0.7× 71 0.7× 22 0.5× 23 475
Blanca Majem 316 1.4× 259 1.5× 89 0.6× 46 0.4× 26 0.6× 14 541
Ryan C. Chai 297 1.3× 92 0.5× 122 0.8× 54 0.5× 36 0.8× 22 480
Kavita Desai 159 0.7× 100 0.6× 143 1.0× 46 0.4× 39 0.8× 22 458
Chunming Huang 299 1.3× 222 1.3× 82 0.6× 86 0.8× 16 0.3× 17 452
Alexandra Fullár 258 1.1× 136 0.8× 168 1.1× 74 0.7× 15 0.3× 15 520
Houyu Ju 212 0.9× 144 0.8× 156 1.0× 65 0.6× 12 0.3× 28 407
Bede van Schaijik 259 1.1× 117 0.7× 164 1.1× 32 0.3× 17 0.4× 25 463
Mark Tabor 177 0.8× 144 0.8× 294 2.0× 34 0.3× 16 0.3× 11 512
E Vairaktaris 146 0.6× 111 0.6× 103 0.7× 36 0.3× 58 1.2× 17 412

Countries citing papers authored by Jing‐biao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐biao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐biao Wu

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