Shouzhen Wu

34 total papers · 1.1k total citations
27 papers, 736 citations indexed

About

Shouzhen Wu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Shouzhen Wu has authored 27 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Immunology. Recurrent topics in Shouzhen Wu's work include Cancer-related molecular mechanisms research (5 papers), Immunotherapy and Immune Responses (5 papers) and RNA modifications and cancer (4 papers). Shouzhen Wu is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Immunotherapy and Immune Responses (5 papers) and RNA modifications and cancer (4 papers). Shouzhen Wu collaborates with scholars based in China, United States and Japan. Shouzhen Wu's co-authors include Mei Xue, Zhengkun Li, Wei Chen, Weina Li, Liqiang Song, Yan Li, Wei Chen, Zhikui Li, Wen Zhai and Huan Pang and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Shouzhen Wu

27 papers receiving 731 citations

Author Peers

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

Author Last Decade Papers Cites
Shouzhen Wu 514 415 171 107 61 27 736
Gang‐Ming Zou 534 1.0× 276 0.7× 114 0.7× 139 1.3× 45 0.7× 27 815
Tania Benatar 464 0.9× 260 0.6× 289 1.7× 173 1.6× 73 1.2× 29 895
Lei Chen 368 0.7× 226 0.5× 161 0.9× 179 1.7× 67 1.1× 32 675
Hongxing Shen 398 0.8× 351 0.8× 120 0.7× 113 1.1× 34 0.6× 22 661
Raoying Xie 442 0.9× 387 0.9× 113 0.7× 139 1.3× 40 0.7× 21 682
Wei Wang 626 1.2× 363 0.9× 76 0.4× 122 1.1× 64 1.0× 27 793
Zhimeng Yao 563 1.1× 303 0.7× 130 0.8× 129 1.2× 83 1.4× 26 728
Ester Alvino 497 1.0× 279 0.7× 106 0.6× 188 1.8× 101 1.7× 35 809
Cheng‐Gong Liao 725 1.4× 328 0.8× 174 1.0× 171 1.6× 52 0.9× 26 874
Jupeng Yuan 631 1.2× 274 0.7× 145 0.8× 138 1.3× 80 1.3× 31 833

Countries citing papers authored by Shouzhen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shouzhen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouzhen Wu

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