Qingdong Guo

1.4k total citations
56 papers, 918 citations indexed

About

Qingdong Guo is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Qingdong Guo has authored 56 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 23 papers in Cancer Research and 11 papers in Immunology. Recurrent topics in Qingdong Guo's work include MicroRNA in disease regulation (20 papers), Extracellular vesicles in disease (14 papers) and Circular RNAs in diseases (9 papers). Qingdong Guo is often cited by papers focused on MicroRNA in disease regulation (20 papers), Extracellular vesicles in disease (14 papers) and Circular RNAs in diseases (9 papers). Qingdong Guo collaborates with scholars based in China, United States and Colombia. Qingdong Guo's co-authors include Li Min, Shutian Zhang, Shengtao Zhu, Hengcun Li, Lei Chen, Zheng Zhang, Guiping Zhao, Peng Li, Shuilong Guo and Anni Zhou and has published in prestigious journals such as Journal of Biological Chemistry, ACS Nano and Oncogene.

In The Last Decade

Qingdong Guo

53 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingdong Guo China 22 593 406 149 120 98 56 918
Qiancheng Song China 16 685 1.2× 395 1.0× 133 0.9× 122 1.0× 102 1.0× 27 997
Zhongqiu Zhou China 12 509 0.9× 249 0.6× 100 0.7× 130 1.1× 70 0.7× 20 767
Jia Shi China 20 849 1.4× 450 1.1× 88 0.6× 113 0.9× 70 0.7× 42 1.2k
Ulrike Harjes United States 9 515 0.9× 330 0.8× 113 0.8× 136 1.1× 56 0.6× 60 907
Liang Shang China 17 685 1.2× 425 1.0× 212 1.4× 91 0.8× 227 2.3× 64 1.1k
Klaudia Skrzypek Poland 15 699 1.2× 278 0.7× 106 0.7× 45 0.4× 104 1.1× 29 908
Yi‐Chin Fong Taiwan 22 546 0.9× 251 0.6× 266 1.8× 161 1.3× 109 1.1× 35 1.1k
Chi‐Wen Luo Taiwan 18 504 0.8× 178 0.4× 262 1.8× 74 0.6× 85 0.9× 56 885
Yoo Hyung Kim South Korea 11 470 0.8× 195 0.5× 134 0.9× 72 0.6× 93 0.9× 22 935

Countries citing papers authored by Qingdong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Qingdong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingdong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Qingdong Guo. A scholar is included among the top collaborators of Qingdong Guo 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 Qingdong Guo. Qingdong Guo 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.
Guo, Qingdong, Qi Wang, Hong Zhao, et al.. (2025). Fibulin-1 deficiency alleviates liver fibrosis by inhibiting hepatic stellate cell activation via the p38 MAPK pathway. Cellular and Molecular Life Sciences. 82(1). 192–192. 2 indexed citations
2.
Liu, Benyuan, Weichen Li, Qingdong Guo, et al.. (2024). Temperature and Frequency Dependence of Human Cerebrospinal Fluid Dielectric Parameters. Sensors. 24(22). 7394–7394.
3.
Yang, Fan, Xian Liu, Qingdong Guo, et al.. (2024). Aberrant overexpression of myosin 1b in glioblastoma promotes angiogenesis via VEGF-myc-myosin 1b-Piezo1 axis. Journal of Biological Chemistry. 300(11). 107807–107807. 4 indexed citations
4.
Ma, Hui, Qian Zhang, Tiange Wang, et al.. (2024). Lysophosphatidic acid promotes ESCC progression by increasing the level of CCL2 secreted by esophageal epithelial cells. The Journal of Gene Medicine. 26(6). e3708–e3708. 1 indexed citations
5.
Fei, Xiaowei, Jialiang Wei, Qingdong Guo, et al.. (2023). TRIM22 promotes the proliferation of glioblastoma cells by activating MAPK signaling and accelerating the degradation of Raf-1. Experimental & Molecular Medicine. 55(6). 1203–1217. 20 indexed citations
6.
Liu, Xiao, Zhengcong Cao, Nannan Liu, et al.. (2022). Kill two birds with one stone: Engineered exosome-mediated delivery of cholesterol modified YY1-siRNA enhances chemoradiotherapy sensitivity of glioblastoma. Frontiers in Pharmacology. 13. 975291–975291. 22 indexed citations
7.
Yao, Yuxia, Xiangji Li, Baohong Xu, et al.. (2022). Cholecystectomy promotes colon carcinogenesis by activating the Wnt signaling pathway by increasing the deoxycholic acid level. Cell Communication and Signaling. 20(1). 71–71. 28 indexed citations
8.
Guo, Qingdong, et al.. (2021). Circ-EGFR Functions as an Inhibitory Factor in the Malignant Progression of Glioma by Regulating the miR-183-5p/TUSC2 Axis. Cellular and Molecular Neurobiology. 42(7). 2245–2256. 16 indexed citations
9.
Wei, Rui, Lei Chen, Da Qin, et al.. (2020). Liquid Biopsy of Extracellular Vesicle-Derived miR-193a-5p in Colorectal Cancer and Discovery of Its Tumor-Suppressor Functions. Frontiers in Oncology. 10. 1372–1372. 16 indexed citations
10.
Jia, Bo, et al.. (2020). [Cathepsin S (CTSS) is highly expressed in temozolomide-resistant glioblastoma T98G cells and associated with poor prognosis].. PubMed. 36(10). 924–929. 1 indexed citations
11.
Liu, Juan, Li Min, Shengtao Zhu, et al.. (2019). Cyclin-Dependent Kinase Inhibitor 3 Promoted Cell Proliferation by Driving Cell Cycle from G1 to S Phase in Esophageal Squamous Cell Carcinoma. Journal of Cancer. 10(8). 1915–1922. 20 indexed citations
12.
Yu, Yang, Lei Chen, Guiping Zhao, et al.. (2019). RBBP8/CtIP suppresses P21 expression by interacting with CtBP and BRCA1 in gastric cancer. Oncogene. 39(6). 1273–1289. 24 indexed citations
13.
Jia, Bo, Wei Liu, Jintao Gu, et al.. (2018). MiR-7-5p suppresses stemness and enhances temozolomide sensitivity of drug-resistant glioblastoma cells by targeting Yin Yang 1. Experimental Cell Research. 375(1). 73–81. 67 indexed citations
15.
Mu, Nan, Jintao Gu, Nannan Liu, et al.. (2018). PRL-3 is a potential glioblastoma prognostic marker and promotes glioblastoma progression by enhancing MMP7 through the ERK and JNK pathways. Theranostics. 8(6). 1527–1539. 35 indexed citations
16.
Wang, Linlin, Li Min, Qingdong Guo, et al.. (2017). Profiling microRNA from Brain by Microarray in a Transgenic Mouse Model of Alzheimer’s Disease. BioMed Research International. 2017. 1–11. 42 indexed citations
17.
Guo, Qingdong. (2011). Selection of Rice-flavour Liquor Vessel. Xiandai shipin keji. 1 indexed citations
18.
Li, Weixin, et al.. (2009). Function and Phenotype of Microglia Are Determined by Toll-Like Receptor 2/Toll-Like Receptor 4 Activation Sequence. DNA and Cell Biology. 28(10). 493–499. 6 indexed citations
19.
Guo, Qingdong, Hui Dong, Xiaonan Liu, et al.. (2009). A20 is overexpressed in glioma cells and may serve as a potential therapeutic target. Expert Opinion on Therapeutic Targets. 13(7). 733–741. 30 indexed citations
20.
Zhang, Jianning, Xiang Zhang, Qingdong Guo, et al.. (2007). Surgical treatment of giant fusiform aneurysm of extracranial internal carotid artery in a child: 1 case report and literature review. Surgical Neurology. 68(3). 329–333. 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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