Yushen Wu

819 total citations
25 papers, 532 citations indexed

About

Yushen Wu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Yushen Wu has authored 25 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Yushen Wu's work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers) and Gallbladder and Bile Duct Disorders (4 papers). Yushen Wu is often cited by papers focused on MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers) and Gallbladder and Bile Duct Disorders (4 papers). Yushen Wu collaborates with scholars based in China and United States. Yushen Wu's co-authors include Huapeng Lin, Guosheng Ren, Ziying Yi, Yunhai Li, Hongzhong Li, Beilei Zeng, Jiazheng Sun, Xiaoyi Wang, Yuanyuan Chen and Tingxiu Xiang and has published in prestigious journals such as Nature Communications, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Yushen Wu

24 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yushen Wu China 14 215 213 158 114 92 25 532
Chuan Hu China 16 163 0.8× 164 0.8× 118 0.7× 176 1.5× 133 1.4× 46 593
Yingjie Shao China 9 202 0.9× 200 0.9× 151 1.0× 104 0.9× 105 1.1× 12 492
Adam Durczyński Poland 11 196 0.9× 175 0.8× 183 1.2× 101 0.9× 123 1.3× 60 523
Piotr Hogendorf Poland 10 201 0.9× 144 0.7× 173 1.1× 48 0.4× 97 1.1× 46 440
Seong Woo Hong South Korea 11 87 0.4× 234 1.1× 114 0.7× 126 1.1× 85 0.9× 28 458
Jingjing Guo China 13 159 0.7× 96 0.5× 97 0.6× 75 0.7× 72 0.8× 49 460
Wei Gan China 13 123 0.6× 195 0.9× 140 0.9× 86 0.8× 138 1.5× 32 478
Yoon Hee Kang South Korea 10 264 1.2× 142 0.7× 159 1.0× 55 0.5× 59 0.6× 16 550
Maria Carmela Pedicillo Italy 12 180 0.8× 117 0.5× 76 0.5× 79 0.7× 136 1.5× 29 516
Yesenia Rojas United States 12 289 1.3× 212 1.0× 55 0.3× 98 0.9× 116 1.3× 14 553

Countries citing papers authored by Yushen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yushen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yushen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yushen Wu. A scholar is included among the top collaborators of Yushen 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 Yushen Wu. Yushen Wu 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, Xiaoyu, Jiakui Li, Yushen Wu, et al.. (2025). AEBP1 drives fibroblast-mediated T cell dysfunction in tumors. Nature Communications. 16(1). 8171–8171.
2.
Wang, Pin, Ziying Yi, Yushen Wu, et al.. (2024). Blocking WNT7A Enhances MHC-I Antigen Presentation and Enhances the Effectiveness of Immune Checkpoint Blockade Therapy. Cancer Immunology Research. 13(3). 400–416. 4 indexed citations
3.
Wang, Mengxue, Xunjia Li, Yushen Wu, et al.. (2024). Loss of RPN1 promotes antitumor immunity via PD-L1 checkpoint blockade in triple-negative breast cancer – experimental studies. International Journal of Surgery. 111(2). 1801–1813. 1 indexed citations
4.
Huang, Jiefeng, Jie Li, Jun Tang, et al.. (2022). ZDHHC22-mediated mTOR palmitoylation restrains breast cancer growth and endocrine therapy resistance. International Journal of Biological Sciences. 18(7). 2833–2850. 40 indexed citations
5.
Liu, Jiazhou, Yuxian Wei, Yushen Wu, et al.. (2021). ATP2C2 Has Potential to Define Tumor Microenvironment in Breast Cancer. Frontiers in Immunology. 12. 657950–657950. 13 indexed citations
6.
Huang, Pei, Wei Hu, Ying Zhu, Yushen Wu, & Huapeng Lin. (2021). The Prognostic Value of Circulating Soluble Programmed Death Ligand-1 in Cancers: A Meta-Analysis. Frontiers in Oncology. 10. 626932–626932. 14 indexed citations
7.
Jiang, Yi, et al.. (2020). Risk factors associated with suicide among hepatocellular carcinoma patients: A surveillance, epidemiology, and end results analysis. European Journal of Surgical Oncology. 47(3). 640–648. 13 indexed citations
8.
Wu, Yushen, et al.. (2020). Prognostic value of systemic immune-inflammation index in patients with urologic cancers: a meta-analysis. Cancer Cell International. 20(1). 499–499. 90 indexed citations
9.
Wang, Mengxue, Meng Dai, Yushen Wu, et al.. (2020). Immunoglobulin superfamily member 10 is a novel prognostic biomarker for breast cancer. PeerJ. 8. e10128–e10128. 12 indexed citations
10.
Wu, Yushen, Beilei Zeng, Jiazheng Sun, et al.. (2020). CircEHMT1 inhibits metastatic potential of breast cancer cells by modulating miR-1233-3p/KLF4/MMP2 axis. Biochemical and Biophysical Research Communications. 526(2). 306–313. 40 indexed citations
11.
Yi, Ziying, Yunhai Li, Yushen Wu, et al.. (2020). <p>Circular RNA 0001073 Attenuates Malignant Biological Behaviours in Breast Cancer Cell and Is Delivered by Nanoparticles to Inhibit Mice Tumour Growth</p>. OncoTargets and Therapy. Volume 13. 6157–6169. 31 indexed citations
12.
Li, Xiaocheng, et al.. (2019). <p>Laparoscopic hepatectomy versus radiofrequency ablation for hepatocellular carcinoma: a systematic review and meta-analysis</p>. Cancer Management and Research. Volume 11. 5711–5724. 16 indexed citations
13.
Niu, Bailin, Fachun Zhou, Yanxin Su, et al.. (2019). Different Expression Characteristics of LAG3 and PD-1 in Sepsis and Their Synergistic Effect on T Cell Exhaustion: A New Strategy for Immune Checkpoint Blockade. Frontiers in Immunology. 10. 1888–1888. 38 indexed citations
14.
Wu, Yushen, et al.. (2019). A four-miRNA signature as a novel biomarker for predicting survival in endometrial cancer. Gene. 697. 86–93. 26 indexed citations
15.
16.
Wu, Yushen, et al.. (2018). Prognostic value of retrieved lymph node counts in patients with node‐negative perihilar cholangiocarcinomas. ANZ Journal of Surgery. 88(12). E829–E834. 4 indexed citations
17.
Lin, Huapeng, et al.. (2018). Comparison of Metal and Plastic Stents for Preoperative Biliary Drainage in Resectable and Borderline Resectable Periampullary Cancer: A Meta-Analysis and System Review. Journal of Laparoendoscopic & Advanced Surgical Techniques. 28(9). 1074–1082. 15 indexed citations
18.
Lin, Huapeng, Qian Zhang, Xiaocheng Li, et al.. (2018). Identification of key candidate genes and pathways in hepatitis B virus-associated acute liver failure by bioinformatical analysis. Medicine. 97(5). e9687–e9687. 13 indexed citations
19.
20.
Zeng, Beilei, Yunhai Li, Yixiao Feng, et al.. (2018). Downregulated miR-1247-5p associates with poor prognosis and facilitates tumor cell growth via DVL1/Wnt/β-catenin signaling in breast cancer. Biochemical and Biophysical Research Communications. 505(1). 302–308. 33 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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