Qiuning Yu

609 total citations · 1 hit paper
18 papers, 422 citations indexed

About

Qiuning Yu is a scholar working on Surgery, Molecular Biology and Immunology. According to data from OpenAlex, Qiuning Yu has authored 18 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 5 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Qiuning Yu's work include Eosinophilic Esophagitis (5 papers), IL-33, ST2, and ILC Pathways (5 papers) and MicroRNA in disease regulation (3 papers). Qiuning Yu is often cited by papers focused on Eosinophilic Esophagitis (5 papers), IL-33, ST2, and ILC Pathways (5 papers) and MicroRNA in disease regulation (3 papers). Qiuning Yu collaborates with scholars based in China, United States and Canada. Qiuning Yu's co-authors include Shaochi Wang, Qing‐Ling Fu, Xingliang Fan, Tingting Liang, Zili Qin, Weiping Wen, Chenglin Li, Shicun Jin, Huining Xiao and Yanteng Zhao and has published in prestigious journals such as Chemical Engineering Journal, European Journal of Medicinal Chemistry and Allergy.

In The Last Decade

Qiuning Yu

16 papers receiving 418 citations

Hit Papers

Strategy to combat biofilms: a focus on biofilm dispersal... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiuning Yu China 9 144 122 116 107 58 18 422
Mustafa Becerikli Germany 14 43 0.3× 42 0.3× 105 0.9× 235 2.2× 83 1.4× 44 552
Allison E. Fetz United States 9 196 1.4× 29 0.2× 174 1.5× 139 1.3× 236 4.1× 11 740
Jennifer L. Bento United States 12 164 1.1× 41 0.3× 196 1.7× 268 2.5× 39 0.7× 15 574
Wanqiong Yuan China 12 58 0.4× 47 0.4× 56 0.5× 194 1.8× 90 1.6× 19 454
Yumei Niu China 19 24 0.2× 58 0.5× 61 0.5× 194 1.8× 205 3.5× 42 918
Taichi Ishikawa Japan 11 39 0.3× 32 0.3× 36 0.3× 168 1.6× 44 0.8× 28 385
Fareeha Batool France 16 44 0.3× 64 0.5× 62 0.5× 92 0.9× 142 2.4× 26 583
Qiuxia Ji China 15 57 0.4× 42 0.3× 63 0.5× 261 2.4× 179 3.1× 27 741
Rodolfo E. De la Vega United States 13 53 0.4× 17 0.1× 132 1.1× 171 1.6× 102 1.8× 27 618
Britani N. Blackstone United States 17 40 0.3× 23 0.2× 187 1.6× 144 1.3× 160 2.8× 34 810

Countries citing papers authored by Qiuning Yu

Since Specialization
Citations

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

Fields of papers citing papers by Qiuning Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiuning Yu

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

All Works

18 of 18 papers shown
1.
Zhou, Ruohua, et al.. (2025). A diffusion model-based deep learning approach for denoising acoustic emission signals in concrete. Measurement. 251. 117143–117143. 5 indexed citations
2.
Yu, Qiuning, Fujin Wang, Zhi Zhai, et al.. (2025). Multi-time scale feature extraction for early prediction of battery RUL and knee point using a hybrid deep learning approach. Journal of Energy Storage. 117. 116024–116024. 8 indexed citations
3.
Yu, Qiuning, Jian Geng, Xuyang Liu, et al.. (2025). Role of ILC2s as Potential Effector Cells of IL25-Mediated Type 2 Inflammation in Chronic Rhinosinusitis with Nasal Polyps in China. Journal of Inflammation Research. Volume 18. 10795–10805.
4.
Zhao, Zhibin, Bingchen Liu, Fujin Wang, et al.. (2024). Exploration of Imbalanced Regression in state-of-health estimation of Lithium-ion batteries. Journal of Energy Storage. 105. 114542–114542. 4 indexed citations
6.
Wang, Shaochi, et al.. (2023). Strategy to combat biofilms: a focus on biofilm dispersal enzymes. npj Biofilms and Microbiomes. 9(1). 63–63. 103 indexed citations breakdown →
7.
Wang, Shaochi, Zhihui Song, Yutian Chen, et al.. (2023). An overview of limonoid synthetic derivatives as promising bioactive molecules. European Journal of Medicinal Chemistry. 259. 115704–115704. 8 indexed citations
8.
Wu, Peng, et al.. (2023). An immune checkpoint-based signature predicts prognosis and chemotherapy response for patients with small cell lung cancer. International Immunopharmacology. 117. 109827–109827. 5 indexed citations
9.
Yu, Qiuning, Shicun Jin, Shaochi Wang, Huining Xiao, & Yanteng Zhao. (2022). Injectable, adhesive, self-healing and conductive hydrogels based on MXene nanosheets for spinal cord injury repair. Chemical Engineering Journal. 452. 139252–139252. 65 indexed citations
10.
Yu, Qiuning, Yanteng Zhao, Huifang Jin, et al.. (2022). Genome-wide methylation profiling identify hypermethylated HOXL subclass genes as potential markers for esophageal squamous cell carcinoma detection. BMC Medical Genomics. 15(1). 247–247. 5 indexed citations
11.
Zhu, Xiaodan, et al.. (2022). MiR-1297 and MiR-26a-5p Inhibit Cell Progression of Keratinocytes in Cholesteatoma Depending on the Regulation of BMI1. Biotechnology and Bioprocess Engineering. 27(1). 79–88. 1 indexed citations
12.
Wang, Cong, Zhibin Xu, Yaqi Peng, et al.. (2020). Sex differences in group 2 innate lymphoid cell-dominant allergic airway inflammation. Molecular Immunology. 128. 89–97. 16 indexed citations
13.
Li, Chenglin, Zhibin Xu, Xingliang Fan, et al.. (2018). MicroRNA-21 Mediates the Protective Effects of Mesenchymal Stem Cells Derived from iPSCs to Human Bronchial Epithelial Cell Injury Under Hypoxia. Cell Transplantation. 27(3). 571–583. 13 indexed citations
14.
Yu, Qiuning, Weiping Tan, Xingliang Fan, et al.. (2018). Increased Group 2 Innate Lymphoid Cells Are Correlated with Eosinophilic Granulocytes in Patients with Allergic Airway Inflammation. International Archives of Allergy and Immunology. 176(2). 124–132. 27 indexed citations
15.
Yu, Qiuning, Yubiao Guo, Chenglin Li, et al.. (2018). ILC2 frequency and activity are inhibited by glucocorticoid treatment via STAT pathway in patients with asthma. Allergy. 73(9). 1860–1870. 75 indexed citations
16.
Zhong, Hua, Xingliang Fan, Qiuning Yu, et al.. (2017). Increased innate type 2 immune response in house dust mite-allergic patients with allergic rhinitis. Clinical Immunology. 183. 293–299. 56 indexed citations
17.
Wang, Shuyue, Xingliang Fan, Qiuning Yu, et al.. (2017). The lncRNAs involved in mouse airway allergic inflammation following induced pluripotent stem cell-mesenchymal stem cell treatment. Stem Cell Research & Therapy. 8(1). 2–2. 30 indexed citations
18.
Li, Chenglin, Zhibin Xu, Xingliang Fan, et al.. (2017). microRNA-21 Mediates the Protective Effects of Mesenchymal Stem Cells Derived from iPSCs to Human Bronchial Epithelial Cell Injury Under Hypoxia. Cell Transplantation. 1 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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