Sheng Wu

539 total citations
32 papers, 383 citations indexed

About

Sheng Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Sheng Wu has authored 32 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Cancer Research. Recurrent topics in Sheng Wu's work include Cancer-related molecular mechanisms research (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Epigenetics and DNA Methylation (5 papers). Sheng Wu is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Epigenetics and DNA Methylation (5 papers). Sheng Wu collaborates with scholars based in China, United States and Germany. Sheng Wu's co-authors include Yuanyuan Mi, Lijie Zhu, Xiaoming You, Feng Dai, Xiukun Wei, Limin Jia, Kun Guo, Tao Peng, Hong Fan and Zhenqiu Liu and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and International Journal of Molecular Sciences.

In The Last Decade

Sheng Wu

29 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Wu China 13 138 90 89 69 60 32 383
Hongyuan Liu China 11 104 0.8× 66 0.7× 54 0.6× 23 0.3× 14 0.2× 39 381
Anna Wójcicka Poland 9 103 0.7× 36 0.4× 20 0.2× 45 0.7× 113 1.9× 21 437
Qiyu Liu China 6 132 1.0× 68 0.8× 44 0.5× 31 0.4× 16 0.3× 10 336
Ling Luo China 11 119 0.9× 91 1.0× 52 0.6× 31 0.4× 14 0.2× 41 412
Zhiqiang Yi China 10 55 0.4× 55 0.6× 36 0.4× 45 0.7× 5 0.1× 57 327
Xinyu Yao China 10 92 0.7× 51 0.6× 19 0.2× 86 1.2× 52 0.9× 29 326
Wan Azman Wan Sulaiman Malaysia 13 116 0.8× 45 0.5× 77 0.9× 75 1.1× 24 0.4× 77 464
Yuki Saito Japan 12 152 1.1× 65 0.7× 44 0.5× 10 0.1× 16 0.3× 30 342
Lina Wong United States 5 72 0.5× 24 0.3× 39 0.4× 39 0.6× 22 0.4× 5 355
Juergen Hoffmann Germany 14 103 0.7× 55 0.6× 40 0.4× 20 0.3× 109 1.8× 27 530

Countries citing papers authored by Sheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Wu. A scholar is included among the top collaborators of Sheng 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 Sheng Wu. Sheng 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.
Ren, Min, Midie Xu, Ran Wei, et al.. (2025). Mutational landscape and DNA methylation-based classification of squamous cell carcinoma and urothelial carcinoma. Clinical Epigenetics. 17(1). 95–95.
2.
Cao, Ting, Le Huang, Mingming Wu, et al.. (2025). Estrogen-induced FXR1 promotes endocrine resistance and bone metastasis in breast cancer via BCL2 and GPX4. Frontiers in Cell and Developmental Biology. 13. 1563353–1563353. 2 indexed citations
3.
4.
Mi, Yuanyuan, Yu Ji, Lifeng Zhang, et al.. (2023). A first-in-class HBO1 inhibitor WM-3835 inhibits castration-resistant prostate cancer cell growth in vitro and in vivo. Cell Death and Disease. 14(1). 67–67. 16 indexed citations
5.
Wang, Jun, et al.. (2023). TROAP Promotes the Proliferation, Migration, and Metastasis of Kidney Renal Clear Cell Carcinoma with the Help of STAT3. International Journal of Molecular Sciences. 24(11). 9658–9658. 5 indexed citations
6.
Guo, Qian, Qingchun Lu, Dechun Feng, et al.. (2023). A novel NEDD4L-TXNIP-CHOP axis in the pathogenesis of nonalcoholic steatohepatitis. Theranostics. 13(7). 2210–2225. 13 indexed citations
7.
Fan, Hong, Zhenqiu Liu, Pengyan Zhang, et al.. (2023). Characteristics and long-term mortality of patients with non-MAFLD hepatic steatosis. Hepatology International. 17(3). 615–625. 1 indexed citations
8.
Fan, Hong, Zhenqiu Liu, Xin Zhang, et al.. (2022). Thyroid Stimulating Hormone Levels Are Associated With Genetically Predicted Nonalcoholic Fatty Liver Disease. The Journal of Clinical Endocrinology & Metabolism. 107(9). 2522–2529. 25 indexed citations
9.
Yang, Ziang, Bei Xu, Sheng Wu, et al.. (2022). Exosomal microRNA-551b-3p from bone marrow-derived mesenchymal stromal cells inhibits breast cancer progression via regulating TRIM31/Akt signaling. Human Cell. 35(6). 1797–1812. 9 indexed citations
10.
Fan, Hong, Zhenqiu Liu, Xin Zhang, et al.. (2022). Investigating the Association Between Seven Sleep Traits and Nonalcoholic Fatty Liver Disease: Observational and Mendelian Randomization Study. Frontiers in Genetics. 13. 792558–792558. 14 indexed citations
11.
Mi, Yuanyuan, Lifeng Zhang, Chuanyu Sun, et al.. (2022). Lysine demethylase 5A promotes prostate adenocarcinoma progression by suppressing microRNA-330-3p expression and activating the COPB2/PI3K/AKT axis in an ETS1-dependent manner. Journal of Cell Communication and Signaling. 16(4). 579–599. 5 indexed citations
12.
Zhou, Yibin, et al.. (2022). Modified the 8th AJCC staging system for patients with advanced prostate cancer: a study based on SEER database. BMC Urology. 22(1). 185–185. 3 indexed citations
13.
14.
Wang, Qifeng, Wenyong Ma, Zhipeng Meng, et al.. (2020). UriBLAD. Journal of Molecular Diagnostics. 23(1). 61–70. 5 indexed citations
15.
Wu, Sheng, Katja Nitschke, Cleo‐Aron Weis, et al.. (2019). ANLN and TLE2 in Muscle Invasive Bladder Cancer: A Functional and Clinical Evaluation Based on In Silico and In Vitro Data. Cancers. 11(12). 1840–1840. 17 indexed citations
16.
Zhang, Weijie, Cheng Chen, Zhi-Hua Zhou, et al.. (2017). Hypoxia-inducible factor-1 alpha Correlates with Tumor-Associated Macrophages Infiltration, Influences Survival of Gastric Cancer Patients. Journal of Cancer. 8(10). 1818–1825. 30 indexed citations
17.
Wei, Xiukun, Limin Jia, Kun Guo, & Sheng Wu. (2014). Fault Isolation for Urban Railway Vehicle Suspension Systems. IFAC Proceedings Volumes. 47(3). 12122–12127. 2 indexed citations
18.
Wu, Sheng, et al.. (2013). Association between 1p11-rs11249433 Polymorphism and Breast Cancer Susceptibility: Evidence from 15 Case-Control Studies. PLoS ONE. 8(8). e72526–e72526. 3 indexed citations
19.
Mi, Yuanyuan, Lifeng Zhang, Ninghan Feng, et al.. (2012). Impact of Two Common Xeroderma Pigmentosum Group D (XPD) Gene Polymorphisms on Risk of Prostate Cancer. PLoS ONE. 7(9). e44756–e44756. 11 indexed citations
20.
Mi, Yuanyuan, Lijie Zhu, Sheng Wu, & Ninghan Feng. (2011). An update analysis of two polymorphisms in encoding ribonuclease L gene and prostate cancer risk: involving 13,372 cases and 11,953 controls. Genes & Nutrition. 6(4). 397–402. 4 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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