Yan-qing Ding

911 total citations
71 papers, 747 citations indexed

About

Yan-qing Ding is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yan-qing Ding has authored 71 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 18 papers in Oncology and 16 papers in Cancer Research. Recurrent topics in Yan-qing Ding's work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Yan-qing Ding is often cited by papers focused on RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Yan-qing Ding collaborates with scholars based in China, Hong Kong and United States. Yan-qing Ding's co-authors include Xiu‐Wu Bian, Yong‐Jian Deng, Wenting Liao, Yaping Ye, Peiqing Liu, Zhuoming Li, Panxia Wang, Bin Chen, Jiantao Ye and Yaoyao Zhang and has published in prestigious journals such as Chemical Communications, Clinical Cancer Research and Experimental Cell Research.

In The Last Decade

Yan-qing Ding

68 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan-qing Ding China 18 456 188 172 77 57 71 747
Angela Eldridge United States 7 379 0.8× 212 1.1× 151 0.9× 53 0.7× 29 0.5× 8 621
Céline Van Themsche Canada 18 544 1.2× 246 1.3× 228 1.3× 41 0.5× 66 1.2× 25 894
Kuan-Lin Kuo Taiwan 17 401 0.9× 212 1.1× 95 0.6× 154 2.0× 50 0.9× 28 758
James R. Knabb United States 5 414 0.9× 156 0.8× 227 1.3× 234 3.0× 25 0.4× 5 656
Walid Mahfouf France 14 452 1.0× 86 0.5× 137 0.8× 178 2.3× 29 0.5× 20 675
Min Feng China 18 251 0.6× 240 1.3× 140 0.8× 138 1.8× 45 0.8× 31 803
Chaoxia Zou China 16 673 1.5× 127 0.7× 520 3.0× 91 1.2× 53 0.9× 35 926

Countries citing papers authored by Yan-qing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yan-qing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-qing Ding. 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 Yan-qing Ding. The network helps show where Yan-qing Ding may publish in the future.

Co-authorship network of co-authors of Yan-qing Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yan-qing Ding. A scholar is included among the top collaborators of Yan-qing Ding 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 Yan-qing Ding. Yan-qing Ding 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.
Zhang, Yaxin, Yali Zhao, Yi Zhou, et al.. (2025). Macrocarpal I induces immunogenic cell death and synergizes with immune checkpoint inhibition by targeting tubulin and PARP1 in colorectal cancer. Cell Death Discovery. 11(1). 73–73. 1 indexed citations
2.
Ding, Yan-qing, Lin Wu, Jia‐Yue Tian, et al.. (2024). A 1,3,5-triazine μ3-bridged neutral Cu(I) framework with enhanced stability and CO2 capture selectivity. Chinese Chemical Letters. 36(12). 110550–110550. 3 indexed citations
3.
Zhang, Dan, et al.. (2024). Nup210 Promotes Colorectal Cancer Progression by Regulating Nuclear Plasma Transport. Laboratory Investigation. 104(11). 102149–102149. 1 indexed citations
4.
Wang, Minghui, Yan-qing Ding, Yuehuai Hu, et al.. (2023). SIRT3 improved peroxisomes-mitochondria interplay and prevented cardiac hypertrophy via preserving PEX5 expression. Redox Biology. 62. 102652–102652. 18 indexed citations
5.
Wang, Luping, Panxia Wang, Suowen Xu, et al.. (2021). The cross-talk between PARylation and SUMOylation in C/EBPβ at K134 site participates in pathological cardiac hypertrophy. International Journal of Biological Sciences. 18(2). 783–799. 8 indexed citations
6.
Wang, Minghui, et al.. (2021). PEX5 prevents cardiomyocyte hypertrophy via suppressing the redox-sensitive signaling pathways MAPKs and STAT3. European Journal of Pharmacology. 906. 174283–174283. 4 indexed citations
7.
Ding, Yan-qing, Yuhong Zhang, Jing Lü, et al.. (2020). MicroRNA-214 contributes to Ang II-induced cardiac hypertrophy by targeting SIRT3 to provoke mitochondrial malfunction. Acta Pharmacologica Sinica. 42(9). 1422–1436. 35 indexed citations
8.
He, Sha, et al.. (2020). Extended transcriptome analysis reveals genome-wide lncRNA-mediated epigenetic dysregulation in colorectal cancer. Computational and Structural Biotechnology Journal. 18. 3507–3517. 2 indexed citations
9.
Zhang, Yuhong, Yan-qing Ding, Jing Yuan, et al.. (2020). MicroRNA-99b-3p promotes angiotensin II-induced cardiac fibrosis in mice by targeting GSK-3β. Acta Pharmacologica Sinica. 42(5). 715–725. 40 indexed citations
10.
Wang, Panxia, Zhenzhen Li, Jingyan Li, et al.. (2020). Histone H4R3 symmetric di-methylation by Prmt5 protects against cardiac hypertrophy via regulation of Filip1L/β-catenin. Pharmacological Research. 161. 105104–105104. 23 indexed citations
11.
Qi, Lu, Fuyao Song, Yue Han, Ying Zhang, & Yan-qing Ding. (2020). Atractyloside targets cancer-associated fibroblasts and inhibits the metastasis of colon cancer. Annals of Translational Medicine. 8(21). 1443–1443. 8 indexed citations
12.
Wang, Enhua, Minghua Zhu, Hong Bu, et al.. (2016). [Consensus of Chinese experts on detection of related drive genes in target therapy of non-small cell lung cancer].. PubMed. 45(2). 73–7. 2 indexed citations
13.
Yue, Zhongbao, Jia You, Zhuoming Li, et al.. (2016). NMNAT3 is involved in the protective effect of SIRT3 in Ang II-induced cardiac hypertrophy. Experimental Cell Research. 347(2). 261–273. 47 indexed citations
14.
Deng, Yong‐Jian, Na Tang, Chao Liu, et al.. (2014). CLIC4, ERp29, and Smac/DIABLO Derived from Metastatic Cancer Stem–like Cells Stratify Prognostic Risks of Colorectal Cancer. Clinical Cancer Research. 20(14). 3809–3817. 42 indexed citations
15.
Zhou, Jun, et al.. (2009). Over-Expression of CDH22 Is Associated with Tumor Progression in Colorectal Cancer. Tumor Biology. 30(3). 130–140. 17 indexed citations
16.
Zhao, Liang, et al.. (2008). Serum proteome analysis for profiling protein markers associated with carcinogenesis and lymph node metastasis in nasopharyngeal carcinoma. Clinical & Experimental Metastasis. 25(4). 465–476. 31 indexed citations
17.
Liu, Li, et al.. (2007). [Effect of Tiam1 overexpression on proliferation and metastatic potential of human colorectal cancer].. PubMed. 36(6). 390–3. 3 indexed citations
18.
Wu, Dehua, Li Liu, Longhua Chen, & Yan-qing Ding. (2004). KAI1gene expression in colonic carcinoma and its clinical significances. World Journal of Gastroenterology. 10(15). 2245–2245. 16 indexed citations
19.
Liu, Huanxin, Yan-qing Ding, Xin Li, & Kai‐Tai Yao. (2003). Investigation of Epstein-barr virus in Chinese colorectal tumors. World Journal of Gastroenterology. 9(11). 2464–2464. 19 indexed citations
20.
Zhang, Junyi, et al.. (2003). [Association between the survival time and high-expression of EGFR and HER-2 in breast cancer].. PubMed. 23(10). 1090–2. 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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