Qiyong Wu

723 total citations
27 papers, 546 citations indexed

About

Qiyong Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Qiyong Wu has authored 27 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cancer Research. Recurrent topics in Qiyong Wu's work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers) and Cardiac Imaging and Diagnostics (3 papers). Qiyong Wu is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers) and Cardiac Imaging and Diagnostics (3 papers). Qiyong Wu collaborates with scholars based in China, Sweden and Taiwan. Qiyong Wu's co-authors include Chunjian Qi, Yongling Ning, Kai Shen, Jie Pan, Yu Bai, Xiao Sun, Bin Zhong, Keqing Qian, Tongbao Feng and Ning Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Qiyong Wu

23 papers receiving 539 citations

Peers

Qiyong Wu
Qiyong Wu
Citations per year, relative to Qiyong Wu Qiyong Wu (= 1×) peers Akiko Kogure

Countries citing papers authored by Qiyong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qiyong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiyong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qiyong Wu. A scholar is included among the top collaborators of Qiyong 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 Qiyong Wu. Qiyong 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
3.
Yuan, Kai, et al.. (2025). HDAC1 Mediates Immunosuppression of the Tumor Microenvironment in Non-Small Cell Lung Cancer. Journal of Inflammation Research. Volume 18. 3333–3347. 5 indexed citations
4.
Li, Xuejiao, et al.. (2025). FKBP5 inhibitor suppresses platelet activation and thrombosis by inhibiting IKBKE/PI3K/Rap1 pathway. International Journal of Biological Macromolecules. 311(Pt 3). 144068–144068.
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Wu, Qiyong, et al.. (2024). Psychological stress and influence factors in elderly patients with mild coronary heart disease: a longitudinal follow-up study in Shanghai, China. Frontiers in Psychology. 15. 1399061–1399061. 2 indexed citations
7.
Wang, Peiyi, Lei Xu, Hua Zhu, et al.. (2024). Potential of Dendrobium officinale oligosaccharides to alleviate chronic colitis by modulating inflammation and gut microbiota. SHILAP Revista de lepidopterología. 2(3). 9420077–9420077. 11 indexed citations
9.
Wu, Qiyong, et al.. (2023). Nonlinear associations between sleep duration and the risks of all-cause and cardiovascular mortality among the general adult population: a long-term cohort study. Frontiers in Cardiovascular Medicine. 10. 1109225–1109225. 3 indexed citations
10.
Zhang, Ming, et al.. (2023). Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting. Computational Intelligence and Neuroscience. 2023(1). 9575553–9575553. 3 indexed citations
11.
Zhu, Zheng, et al.. (2022). Circ_0060967 facilitates proliferation, migration, and invasion of non-small-cell lung cancer cells by sponging miR-660-3p/UBN2. Molecular and Cellular Biochemistry. 478(5). 1129–1140. 6 indexed citations
12.
Wu, Qiyong, et al.. (2021). LncRNA NORAD Promotes Vascular Endothelial Cell Injury and Atherosclerosis Through Suppressing VEGF Gene Transcription via Enhancing H3K9 Deacetylation by Recruiting HDAC6. Frontiers in Cell and Developmental Biology. 9. 701628–701628. 37 indexed citations
13.
Fan, Rui, Yafeng Liu, Hongwei Jiang, et al.. (2021). IKKε protects against starvation-induced NLRP3 inflammasome and pyroptosis in H9c2 cells by alleviating mitochondrial injury. Biochemical and Biophysical Research Communications. 589. 267–274. 2 indexed citations
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Zhu, Zheng, et al.. (2020). Hsa_circ_0016760 exacerbates the malignant development of non‑small cell lung cancer by sponging miR‑145‑5p/FGF5. Oncology Reports. 45(2). 501–512. 29 indexed citations
17.
Ning, Yongling, Kai Shen, Qiyong Wu, et al.. (2018). Tumor exosomes block dendritic cells maturation to decrease the T cell immune response. Immunology Letters. 199. 36–43. 198 indexed citations
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Ding, Jun, Tongbao Feng, Yongling Ning, et al.. (2015). β-Glucan enhances cytotoxic T lymphocyte responses by activation of human monocyte-derived dendritic cells via the PI3K/AKT pathway. Human Immunology. 76(2-3). 146–154. 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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