Qijing Wang

640 total citations
27 papers, 402 citations indexed

About

Qijing Wang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Qijing Wang has authored 27 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Immunology. Recurrent topics in Qijing Wang's work include RNA modifications and cancer (5 papers), Reproductive System and Pregnancy (5 papers) and Pregnancy and preeclampsia studies (4 papers). Qijing Wang is often cited by papers focused on RNA modifications and cancer (5 papers), Reproductive System and Pregnancy (5 papers) and Pregnancy and preeclampsia studies (4 papers). Qijing Wang collaborates with scholars based in China, United States and Thailand. Qijing Wang's co-authors include Yiyun Lou, Fan Jin, Minhao Hu, Mu Yuan, Jian‐Chuan Xia, Ping Lin, Hang Yuan, Yongqiang Li, Jiancong Sun and Minshan Chen and has published in prestigious journals such as Biochemical Pharmacology, Fertility and Sterility and Biology of Reproduction.

In The Last Decade

Qijing Wang

24 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qijing Wang China 13 164 123 79 70 49 27 402
Takuya Ayabe Japan 12 173 1.1× 75 0.6× 65 0.8× 112 1.6× 128 2.6× 35 511
Elizabeth Jordan United States 11 220 1.3× 38 0.3× 68 0.9× 95 1.4× 31 0.6× 23 522
Christian Dannecker Germany 12 116 0.7× 84 0.7× 74 0.9× 118 1.7× 27 0.6× 58 459
Masahiko Kutsukake Japan 12 113 0.7× 75 0.6× 45 0.6× 25 0.4× 51 1.0× 17 334
Kiyomi Takaishi Japan 10 155 0.9× 315 2.6× 52 0.7× 170 2.4× 152 3.1× 14 582
Andreas Giannakou United States 12 200 1.2× 38 0.3× 65 0.8× 145 2.1× 16 0.3× 25 533
Yao Fan China 15 228 1.4× 57 0.5× 115 1.5× 72 1.0× 9 0.2× 32 463
Aiping Qin China 15 119 0.7× 174 1.4× 88 1.1× 49 0.7× 300 6.1× 48 595
Yeke Wu China 9 139 0.8× 45 0.4× 110 1.4× 22 0.3× 40 0.8× 20 323
Taichi Mizushima Japan 17 198 1.2× 34 0.3× 110 1.4× 145 2.1× 55 1.1× 50 670

Countries citing papers authored by Qijing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qijing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qijing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qijing Wang. A scholar is included among the top collaborators of Qijing Wang 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 Qijing Wang. Qijing Wang 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.
Wang, Qijing, et al.. (2025). Guggulsterone suppresses osteosarcoma progression by inhibiting glycolysis through MAPK signaling pathway. Phytomedicine. 144. 156949–156949. 1 indexed citations
2.
Yu, Huayang, Hang Yuan, Yanyu Qi, et al.. (2025). Alkannin triggered apoptosis and ferroptosis in gastric cancer by suppressing lipid metabolism mediated by the c-Fos/SREBF1 axis. Phytomedicine. 140. 156604–156604. 2 indexed citations
3.
4.
Yuan, Hang, Li Qin, Liang Li, et al.. (2025). DDX39B K63-linked ubiquitination mediated by TRIM28 promotes NSCLC metastasis by enhancing ECAD lysosomal degradation. Signal Transduction and Targeted Therapy. 10(1). 221–221.
5.
Wang, Qijing, Kai Li, Liang Li, et al.. (2025). The role and therapeutic potential of glucose metabolism in multidrug resistance of cancer. Frontiers in Cell and Developmental Biology. 13. 1584630–1584630. 1 indexed citations
6.
Li, Qin, Hang Yuan, Gang Zhao, et al.. (2024). DDX39B protects against sorafenib-induced ferroptosis by facilitating the splicing and cytoplasmic export of GPX4 pre-mRNA in hepatocellular carcinoma. Biochemical Pharmacology. 225. 116251–116251. 7 indexed citations
7.
Pan, Qiuzhong, Xingyu Jiang, Jingjing Zhao, et al.. (2024). N6-methyladenosine-modified VGLL1 promotes ovarian cancer metastasis through high-mobility group AT-hook 1/Wnt/β-catenin signaling. iScience. 27(3). 109245–109245. 3 indexed citations
8.
Ye, F, et al.. (2024). The yield of SNP microarray analysis for fetal ultrasound cardiac abnormalities. BMC Pregnancy and Childbirth. 24(1). 244–244. 1 indexed citations
9.
10.
Feng, Tianyu, Siqi Li, Gang Zhao, et al.. (2023). DDX39B facilitates the malignant progression of hepatocellular carcinoma via activation of SREBP1-mediated de novo lipid synthesis. Cellular Oncology. 46(5). 1235–1252. 18 indexed citations
11.
Zhao, Gang, Qijing Wang, Yue Zhang, et al.. (2023). DDX17 induces epithelial-mesenchymal transition and metastasis through the miR-149-3p/CYBRD1 pathway in colorectal cancer. Cell Death and Disease. 14(1). 1–1. 68 indexed citations
12.
Chen, Jianhai, Jian Li, Wenxiang Cheng, et al.. (2023). HIF-1α dependent RhoA as a novel therapeutic target to regulate rheumatoid arthritis fibroblast-like synoviocytes migration in vitro and in vivo. Journal of Orthopaedic Translation. 40. 49–57. 12 indexed citations
13.
Lou, Yiyun, Ye Tian, Minhao Hu, et al.. (2023). Estrogen-sensitive activation of SGK1 induces M2 macrophages with anti-inflammatory properties and a Th2 response at the maternal–fetal interface. Reproductive Biology and Endocrinology. 21(1). 50–50. 15 indexed citations
14.
Fang, Le, Ning Wang, Qijing Wang, et al.. (2021). Long-Term Disturbed Expression and DNA Methylation of SCAP/SREBP Signaling in the Mouse Lung From Assisted Reproductive Technologies. Frontiers in Genetics. 12. 566168–566168. 2 indexed citations
15.
Hu, Minhao, Lejun Li, Shuyuan Liu, et al.. (2020). Decreased expression of MRE11 and RAD50 in testes from humans with spermatogenic failure. Journal of Assisted Reproduction and Genetics. 37(2). 331–340. 4 indexed citations
16.
Xu, Nan, Qin Wang, Shan Jiang, et al.. (2018). Fenofibrate improves vascular endothelial function and contractility in diabetic mice. Redox Biology. 20. 87–97. 36 indexed citations
17.
18.
Fang, Le, Hangying Lou, Qijing Wang, et al.. (2018). Increased hepatic INSIG-SCAP-SREBP expression is associated with cholesterol metabolism disorder in assisted reproductive technology-conceived aged mice. Reproductive Toxicology. 84. 9–17. 12 indexed citations
19.
Lou, Yiyun, Minhao Hu, Qijing Wang, et al.. (2017). Estradiol Suppresses TLR4-triggered Apoptosis of Decidual Stromal Cells and Drives an Anti-inflammatory TH2 Shift by Activating SGK1. International Journal of Biological Sciences. 13(4). 434–448. 33 indexed citations
20.
Zhang, Yaojun, Qijing Wang, Yongqiang Li, et al.. (2010). Therapeutic safety and effects of adjuvant autologous RetroNectin activated killer cell immunotherapy for patients with primary hepatocellular carcinoma after radiofrequency ablation. Cancer Biology & Therapy. 9(11). 903–907. 40 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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