Shouyu Wang

4.8k total citations · 1 hit paper
49 papers, 2.8k citations indexed

About

Shouyu Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shouyu Wang has authored 49 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Shouyu Wang's work include Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (15 papers) and Cancer-related gene regulation (7 papers). Shouyu Wang is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (15 papers) and Cancer-related gene regulation (7 papers). Shouyu Wang collaborates with scholars based in China, United States and Canada. Shouyu Wang's co-authors include Qiang Wang, Zhangding Wang, Jianwei Zhou, Chen Chen, Xiaoping Zou, Junjie Chen, Qingqing Ding, Beicheng Sun, Guifang Xu and Chunru Lin and has published in prestigious journals such as Cell, PLoS ONE and Nature Cell Biology.

In The Last Decade

Shouyu Wang

48 papers receiving 2.7k citations

Hit Papers

METTL3-mediated m 6 A mod... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shouyu Wang China 26 2.2k 1.5k 374 190 188 49 2.8k
Zejuan Li United States 22 2.1k 1.0× 1.4k 0.9× 201 0.5× 120 0.6× 53 0.3× 49 2.6k
Yuval Tabach Israel 20 1.6k 0.7× 460 0.3× 479 1.3× 90 0.5× 120 0.6× 49 2.1k
Bo Xie China 22 2.0k 0.9× 1.6k 1.0× 198 0.5× 171 0.9× 60 0.3× 62 2.6k
Krista La Perle United States 15 1.3k 0.6× 737 0.5× 526 1.4× 91 0.5× 67 0.4× 29 2.2k
He Chen China 19 1.7k 0.8× 1.6k 1.0× 120 0.3× 146 0.8× 114 0.6× 33 2.2k
Huiyan Sun China 24 1.4k 0.6× 913 0.6× 260 0.7× 234 1.2× 76 0.4× 81 2.1k
Peihua Ni China 21 1.5k 0.7× 1.1k 0.7× 443 1.2× 223 1.2× 136 0.7× 51 2.4k
Claudia Mertens United States 15 1.3k 0.6× 391 0.3× 328 0.9× 78 0.4× 144 0.8× 18 1.6k
Bastiaan Evers Netherlands 21 1.8k 0.8× 369 0.2× 995 2.7× 143 0.8× 155 0.8× 39 2.4k
Jie Wang China 29 2.3k 1.0× 1.2k 0.8× 347 0.9× 244 1.3× 109 0.6× 138 3.1k

Countries citing papers authored by Shouyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shouyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shouyu Wang. A scholar is included among the top collaborators of Shouyu Wang 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 Shouyu Wang. Shouyu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Bo, Qiaoyu Liu, Sheng Guo, et al.. (2025). MVP-LCN2 axis triggers evasion of ferroptosis to drive hepatocarcinogenesis and sorafenib resistance. Drug Resistance Updates. 81. 101246–101246. 5 indexed citations
2.
Li, Mengmeng, Yao Fu, Chen Chen, et al.. (2025). PSMD14-mediated PFKFB2 deubiquitination activates H3K27 lactylation to drive cancer stemness in gastric adenocarcinoma. Cell Death and Differentiation.
3.
Zhang, Jiahui, Hui Shi, Maoye Wang, et al.. (2024). M2 Tumor‐Associated Macrophages‐Derived Exosomal MALAT1 Promotes Glycolysis and Gastric Cancer Progression. Advanced Science. 11(24). e2309298–e2309298. 34 indexed citations
4.
Wang, Zhangding, Qiang Wang, Chen Chen, et al.. (2023). NNMT enriches for AQP5 + cancer stem cells to drive malignant progression in early gastric cardia adenocarcinoma. Gut. 73(1). 63–77. 30 indexed citations
5.
Xia, Anliang, Qi Yue, Mingming Zhu, et al.. (2023). The cancer-testis lncRNA LINC01977 promotes HCC progression by interacting with RBM39 to prevent Notch2 ubiquitination. Cell Death Discovery. 9(1). 169–169. 12 indexed citations
6.
Xu, Kaiyue, et al.. (2023). Non-coding RNAs in radiotherapy resistance: Roles and therapeutic implications in gastrointestinal cancer. Biomedicine & Pharmacotherapy. 161. 114485–114485. 10 indexed citations
7.
Wang, Qiang, Wei Geng, Huimin Guo, et al.. (2020). Emerging role of RNA methyltransferase METTL3 in gastrointestinal cancer. Journal of Hematology & Oncology. 13(1). 57–57. 86 indexed citations
8.
Ma, Ling, Zhangding Wang, Mengyan Xie, et al.. (2020). Silencing of circRACGAP1 sensitizes gastric cancer cells to apatinib via modulating autophagy by targeting miR-3657 and ATG7. Cell Death and Disease. 11(3). 169–169. 49 indexed citations
9.
Hu, Qingsong, Chunlai Li, Shouyu Wang, et al.. (2019). LncRNAs-directed PTEN enzymatic switch governs epithelial–mesenchymal transition. Cell Research. 29(4). 286–304. 39 indexed citations
10.
Wang, Qiang, Chen Chen, Qingqing Ding, et al.. (2019). METTL3-mediated m 6 A modification of HDGF mRNA promotes gastric cancer progression and has prognostic significance. Gut. 69(7). 1193–1205. 629 indexed citations breakdown →
11.
Xu, Wenxia, Wei Qi, Mengjiao Han, et al.. (2018). CCL2-SQSTM1 positive feedback loop suppresses autophagy to promote chemoresistance in gastric cancer. International Journal of Biological Sciences. 14(9). 1054–1066. 45 indexed citations
12.
Li, Chunlai, Shouyu Wang, Zhen Xing, et al.. (2017). A ROR1–HER3–lncRNA signalling axis modulates the Hippo–YAP pathway to regulate bone metastasis. Nature Cell Biology. 19(2). 106–119. 246 indexed citations
13.
Peng, Haiying, Lifang Zou, Jinyan Xie, et al.. (2016). lncRNA NONRATT021972 siRNA Decreases Diabetic Neuropathic Pain Mediated by the P2X3 Receptor in Dorsal Root Ganglia. Molecular Neurobiology. 54(1). 511–523. 80 indexed citations
14.
Ma, Ling, Qiang Wang, Fengming Yang, et al.. (2016). JWA down-regulates HER2 expression via c-Cbl and induces lapatinib resistance in human gastric cancer cells. Oncotarget. 7(44). 71790–71801. 8 indexed citations
15.
Zhong, Weiliang, Kang Tian, Xifu Zheng, et al.. (2013). Mesenchymal Stem Cell and Chondrocyte Fates in a Multishear Microdevice Are Regulated by Yes-Associated Protein. Stem Cells and Development. 22(14). 2083–2093. 98 indexed citations
16.
Yang, Hui, Yongli Zhao, Jie Zhang, et al.. (2013). Multi-Stratum Resources Integration for Data Center Application based on Multiple OpenFlow Controllers Cooperation. NTu3F.7–NTu3F.7. 15 indexed citations
17.
Yang, Ye, Xuan Li, Jing‐Jing Yang, et al.. (2013). MDM2 is a useful prognostic biomarker for resectable gastric cancer. Cancer Science. 104(5). 590–598. 23 indexed citations
19.
Liu, Xin, Shouyu Wang, Xiaowei Xia, et al.. (2012). Synergistic Role between p53 and JWA: Prognostic and Predictive Biomarkers in Gastric Cancer. PLoS ONE. 7(12). e52348–e52348. 18 indexed citations
20.
Wang, Shuqi, et al.. (2009). Effects of land uses and fertilization systems on soil enzyme activities and nutrients. Plant Nutrition and Fertilizing Science. 15(6). 1311–1316. 2 indexed citations

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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