Chunqing Yang

1.7k total citations
50 papers, 1.1k citations indexed

About

Chunqing Yang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Chunqing Yang has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 31 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Chunqing Yang's work include Cancer-related molecular mechanisms research (30 papers), RNA modifications and cancer (17 papers) and RNA Research and Splicing (15 papers). Chunqing Yang is often cited by papers focused on Cancer-related molecular mechanisms research (30 papers), RNA modifications and cancer (17 papers) and RNA Research and Splicing (15 papers). Chunqing Yang collaborates with scholars based in China, United Kingdom and United States. Chunqing Yang's co-authors include Xuelei Ruan, Jian Zheng, Yixue Xue, Xiaobai Liu, Di Wang, Yunhui Liu, Libo Liu, Shiladitya DasSarma, Jun Ma and Zhen Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bacteriology and Vaccine.

In The Last Decade

Chunqing Yang

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunqing Yang China 24 843 564 90 77 56 50 1.1k
Dadi Gao Australia 14 1.1k 1.3× 522 0.9× 102 1.1× 112 1.5× 56 1.0× 20 1.3k
Yixue Gu China 19 802 1.0× 453 0.8× 54 0.6× 161 2.1× 30 0.5× 40 1.1k
Heiko Fuchs Germany 9 946 1.1× 615 1.1× 157 1.7× 47 0.6× 30 0.5× 17 1.2k
John Pena United States 11 1.4k 1.7× 1.1k 2.0× 81 0.9× 88 1.1× 72 1.3× 15 1.7k
Minoru Terashima Japan 21 1.1k 1.2× 471 0.8× 43 0.5× 125 1.6× 23 0.4× 40 1.3k
Éric Lacazette France 18 914 1.1× 375 0.7× 112 1.2× 175 2.3× 117 2.1× 34 1.3k
Leo Kurian Germany 14 1.1k 1.3× 396 0.7× 43 0.5× 44 0.6× 36 0.6× 22 1.3k
Baoming Qin China 13 900 1.1× 222 0.4× 64 0.7× 77 1.0× 28 0.5× 27 1.1k
Marco Venturin Italy 14 699 0.8× 514 0.9× 34 0.4× 41 0.5× 41 0.7× 33 927
Julia Schultz Germany 18 996 1.2× 322 0.6× 92 1.0× 114 1.5× 41 0.7× 27 1.2k

Countries citing papers authored by Chunqing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chunqing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunqing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunqing Yang. A scholar is included among the top collaborators of Chunqing Yang 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 Chunqing Yang. Chunqing Yang 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.
Jia, Shanshan, Weidong Xie, Chunqing Yang, et al.. (2025). Combining lipidomics and machine learning to identify lipid biomarkers for nonsyndromic cleft lip with palate. JCI Insight. 10(9). 2 indexed citations
2.
Dong, Weiwei, Yunhui Liu, Ping Wang, et al.. (2023). U3 snoRNA‐mediated degradation of ZBTB7A regulates aerobic glycolysis in isocitrate dehydrogenase 1 wild‐type glioblastoma cells. CNS Neuroscience & Therapeutics. 29(10). 2811–2825. 11 indexed citations
3.
Zhao, Yubo, Jian Song, Weiwei Dong, et al.. (2022). The MBNL1/circNTRK2/PAX5 pathway regulates aerobic glycolysis in glioblastoma cells by encoding a novel protein NTRK2-243aa. Cell Death and Disease. 13(9). 767–767. 18 indexed citations
4.
Zhang, Mengyang, Chunqing Yang, Xuelei Ruan, et al.. (2022). CPEB2 m6A methylation regulates blood–tumor barrier permeability by regulating splicing factor SRSF5 stability. Communications Biology. 5(1). 908–908. 23 indexed citations
5.
Yu, Sifei, Xuelei Ruan, Xiaobai Liu, et al.. (2021). HNRNPD interacts with ZHX2 regulating the vasculogenic mimicry formation of glioma cells via linc00707/miR-651-3p/SP2 axis. Cell Death and Disease. 12(2). 153–153. 26 indexed citations
6.
Ding, Ye, Xiaobai Liu, Chunqing Yang, et al.. (2021). Pseudogene RPL32P3 regulates the blood–tumor barrier permeability via the YBX2/HNF4G axis. Cell Death Discovery. 7(1). 367–367. 1 indexed citations
7.
8.
Liu, Xiaobai, Jian Zheng, Jian Song, et al.. (2020). Lin28A promotes IRF6-regulated aerobic glycolysis in glioma cells by stabilizing SNHG14. Cell Death and Disease. 11(6). 447–447. 52 indexed citations
9.
Ruan, Xuelei, Xiaobai Liu, Chunqing Yang, et al.. (2020). The PABPC5/HCG15/ZNF331 Feedback Loop Regulates Vasculogenic Mimicry of Glioma via STAU1-Mediated mRNA Decay. Molecular Therapy — Oncolytics. 17. 216–231. 25 indexed citations
10.
Shen, Shuyuan, Chunqing Yang, Xiaobai Liu, et al.. (2020). RBFOX1 Regulates the Permeability of the Blood-Tumor Barrier via the LINC00673/MAFF Pathway. Molecular Therapy — Oncolytics. 17. 138–152. 15 indexed citations
11.
Xue, Yixue, Jun Ma, Lianqi Shao, et al.. (2019). SNHG1 promotes malignant biological behaviors of glioma cells via microRNA-154-5p/miR-376b-3p- FOXP2- KDM5B participating positive feedback loop. Journal of Experimental & Clinical Cancer Research. 38(1). 59–59. 37 indexed citations
12.
Li, Hua, Shuyuan Shen, Xuelei Ruan, et al.. (2019). Biosynthetic CircRNA_001160 induced by PTBP1 regulates the permeability of BTB via the CircRNA_001160/miR-195-5p/ETV1 axis. Cell Death and Disease. 10(12). 960–960. 34 indexed citations
13.
Zhang, Fangfang, Xuelei Ruan, Jun Ma, et al.. (2019). DGCR8/ZFAT-AS1 Promotes CDX2 Transcription in a PRC2 Complex Dependent Manner to Facilitate the Malignant Biological Behavior of Glioma Cells. SSRN Electronic Journal. 2 indexed citations
14.
Xue, Yixue, Xuelei Ruan, Xiaobai Liu, et al.. (2019). Knockdown of LncRNA SCAMP1 suppressed malignant biological behaviours of glioma cells via modulating miR‐499a‐5p/LMX1A/NLRC5 pathway. Journal of Cellular and Molecular Medicine. 23(8). 5048–5062. 50 indexed citations
15.
Zhang, Fangfang, Xuelei Ruan, Jun Ma, et al.. (2019). DGCR8/ZFAT-AS1 Promotes CDX2 Transcription in a PRC2 Complex-Dependent Manner to Facilitate the Malignant Biological Behavior of Glioma Cells. Molecular Therapy. 28(2). 613–630. 24 indexed citations
16.
Shao, Lianqi, Yixue Xue, Xuelei Ruan, et al.. (2019). Inhibition of the aberrant A1CF-FAM224A-miR-590-3p-ZNF143 positive feedback loop attenuated malignant biological behaviors of glioma cells. Journal of Experimental & Clinical Cancer Research. 38(1). 248–248. 18 indexed citations
17.
18.
Li, Xiaozhi, Yixue Xue, Xiaobai Liu, et al.. (2018). ZRANB2/SNHG20/FOXK1 Axis Regulates Vasculogenic Mimicry Formation in Glioma. SSRN Electronic Journal. 1 indexed citations
19.
Wang, Qinqin, Chunmei Wang, Baohua Cheng, et al.. (2018). Signaling transduction regulated by 5-hydroxytryptamine 1A receptor and orexin receptor 2 heterodimers. Cellular Signalling. 54. 46–58. 11 indexed citations
20.
Chen, Cong, et al.. (2015). Expression of Lysine-specific demethylase 1 in human epithelial ovarian cancer. Journal of Ovarian Research. 8(1). 28–28. 30 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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