Weiyang He

1.4k total citations
37 papers, 1.0k citations indexed

About

Weiyang He is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Weiyang He has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Epidemiology and 10 papers in Cancer Research. Recurrent topics in Weiyang He's work include Autophagy in Disease and Therapy (15 papers), RNA modifications and cancer (7 papers) and Cancer-related molecular mechanisms research (6 papers). Weiyang He is often cited by papers focused on Autophagy in Disease and Therapy (15 papers), RNA modifications and cancer (7 papers) and Cancer-related molecular mechanisms research (6 papers). Weiyang He collaborates with scholars based in China, United States and Singapore. Weiyang He's co-authors include Xin Gou, Hubin Yin, Hang Tong, Mabel T. Padilla, Yong Lin, Jennings Xu, Xin Zhu, Xin Gou, Jiawu Wang and Xinyuan Li and has published in prestigious journals such as Oncogene, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Weiyang He

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiyang He China 19 615 341 311 142 140 37 1.0k
Lei Zhan China 23 704 1.1× 214 0.6× 460 1.5× 164 1.2× 138 1.0× 55 1.4k
Xiaoxiao Zheng China 21 805 1.3× 214 0.6× 510 1.6× 194 1.4× 96 0.7× 49 1.2k
Ping Xu China 21 879 1.4× 127 0.4× 349 1.1× 122 0.9× 73 0.5× 49 1.5k
Zhuo-Wei Hu China 13 466 0.8× 252 0.7× 149 0.5× 95 0.7× 120 0.9× 17 877
Huanbai Xu China 17 558 0.9× 146 0.4× 240 0.8× 175 1.2× 104 0.7× 33 1.0k
Zhentao Yang China 12 1.0k 1.7× 230 0.7× 195 0.6× 208 1.5× 113 0.8× 26 1.4k
Hanqing Yu China 16 778 1.3× 138 0.4× 503 1.6× 145 1.0× 93 0.7× 29 1.1k
Junlin Yao China 18 541 0.9× 137 0.4× 259 0.8× 265 1.9× 136 1.0× 24 1.1k
Luisa Salvatori Italy 20 477 0.8× 114 0.3× 198 0.6× 182 1.3× 153 1.1× 33 1.1k

Countries citing papers authored by Weiyang He

Since Specialization
Citations

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

Fields of papers citing papers by Weiyang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyang He

This figure shows the co-authorship network connecting the top 25 collaborators of Weiyang He. A scholar is included among the top collaborators of Weiyang He 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 Weiyang He. Weiyang He 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.
Tong, Hang, et al.. (2025). Ursolic acid sensitizes bladder cancer to gemcitabine chemotherapy by concurrently targeting PI3K/AKT and JNK pathways. Translational Andrology and Urology. 14(10). 2902–2916.
2.
3.
Hao, Liang, Hao Cheng, Weiyang He, et al.. (2024). m6Am Methyltransferase PCIF1 Regulates Periodontal Inflammation. Journal of Dental Research. 103(11). 1130–1140. 2 indexed citations
4.
Li, Guiqiang, et al.. (2024). Mining bone metastasis related key genes of prostate cancer from the STING pathway based on machine learning. Frontiers in Medicine. 11. 1372495–1372495.
5.
Wang, Yun, et al.. (2024). Deep learning system for malignancy risk prediction in cystic renal lesions: a multicenter study. Insights into Imaging. 15(1). 121–121. 2 indexed citations
6.
Tong, Hang, et al.. (2022). Identification of a Three-Glycolysis-Related lncRNA Signature Correlated With Prognosis and Metastasis in Clear Cell Renal Cell Carcinoma. Frontiers in Medicine. 8. 777507–777507. 9 indexed citations
7.
Liu, Rui, et al.. (2020). Fetuin B overexpression suppresses proliferation, migration, and invasion in prostate cancer by inhibiting the PI3K/AKT signaling pathway. Biomedicine & Pharmacotherapy. 131. 110689–110689. 16 indexed citations
8.
Yin, Hubin, et al.. (2020). <p>Nucleolar and Spindle Associated Protein 1 (NUSAP1) Promotes Bladder Cancer Progression Through the TGF-β Signaling Pathway</p>. OncoTargets and Therapy. Volume 13. 813–825. 24 indexed citations
9.
Zhong, Zibiao, Yao Huang, Weiyang He, et al.. (2019). Elucidation of molecular pathways responsible for the accelerated wound healing induced by a novel fibrous chitin dressing. Biomaterials Science. 7(12). 5247–5257. 16 indexed citations
10.
Wang, Jiawu, Chengyao Zhang, Yan Wu, Weiyang He, & Xin Gou. (2019). Identification and analysis of long non-coding RNA related miRNA sponge regulatory network in bladder urothelial carcinoma. Cancer Cell International. 19(1). 327–327. 29 indexed citations
11.
Wang, Quan, et al.. (2018). Attenuation of everolimus-induced cytotoxicity by a protective autophagic pathway involving ERK activation in renal cell carcinoma cells. Drug Design Development and Therapy. Volume 12. 911–920. 17 indexed citations
12.
13.
Zhu, Xin, Mi Zhou, Xiaolong Huang, et al.. (2017). Autophagy activated by the c-Jun N-terminal kinase-mediated pathway protects human prostate cancer PC3 cells from celecoxib-induced apoptosis. Experimental and Therapeutic Medicine. 13(5). 2348–2354. 24 indexed citations
14.
Gou, Xin, et al.. (2017). Pim-2 Cooperates with Downstream Factor XIAP to Inhibit Apoptosis and Intensify Malignant Grade in Prostate Cancer. Pathology & Oncology Research. 25(1). 341–348. 14 indexed citations
15.
Huang, Xiaolong, Hao Zhang, Xiaoyu Yang, et al.. (2017). Activation of a c-Jun N-terminal kinase-mediated autophagy pathway attenuates the anticancer activity of gemcitabine in human bladder cancer cells. Anti-Cancer Drugs. 28(6). 596–602. 18 indexed citations
16.
Wang, Yi, Du He, Du He, et al.. (2015). TRIM26 functions as a novel tumor suppressor of hepatocellular carcinoma and its downregulation contributes to worse prognosis. Biochemical and Biophysical Research Communications. 463(3). 458–465. 62 indexed citations
17.
Jiang, Xiaoxue, Xin Zhu, Weiyang He, et al.. (2015). ROS activates JNK-mediated autophagy to counteract apoptosis in mouse mesenchymal stem cells in vitro. Acta Pharmacologica Sinica. 36(12). 1473–1479. 77 indexed citations
18.
Xu, Jennings, Xiuling Xu, Shaoqing Shi, et al.. (2015). Autophagy‐Mediated Degradation of IAPs and c‐FLIPL Potentiates Apoptosis Induced by Combination of TRAIL and Chal‐24. Journal of Cellular Biochemistry. 117(5). 1136–1144. 16 indexed citations
19.
He, Weiyang, Balasubramanian Srinivasan, Jennings Xu, et al.. (2013). A JNK-mediated autophagy pathway that triggers c-IAP degradation and necroptosis for anticancer chemotherapy. Oncogene. 33(23). 3004–3013. 101 indexed citations
20.
He, Weiyang, Qiong Wang, Jennings Xu, et al.. (2012). Attenuation of TNFSF10/TRAIL-induced apoptosis by an autophagic survival pathway involving TRAF2- and RIPK1/RIP1-mediated MAPK8/JNK activation. Autophagy. 8(12). 1811–1821. 121 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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