Yu Qi

1.3k total citations
55 papers, 951 citations indexed

About

Yu Qi is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu Qi has authored 55 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 18 papers in Cancer Research and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu Qi's work include RNA modifications and cancer (14 papers), Ferroptosis and cancer prognosis (9 papers) and MicroRNA in disease regulation (8 papers). Yu Qi is often cited by papers focused on RNA modifications and cancer (14 papers), Ferroptosis and cancer prognosis (9 papers) and MicroRNA in disease regulation (8 papers). Yu Qi collaborates with scholars based in China, United States and Hong Kong. Yu Qi's co-authors include Donglei Liu, Lan Huang, Chunyang Zhang, Song Zhao, Yi Zhang, Kai Wu, Yu Li, Yujia Zheng, Jingyao Lian and Yang Yang and has published in prestigious journals such as International Journal of Cancer, Biochemical Pharmacology and Experimental Cell Research.

In The Last Decade

Yu Qi

49 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Qi China 19 599 305 234 211 147 55 951
Qinchuan Li China 18 470 0.8× 340 1.1× 186 0.8× 237 1.1× 187 1.3× 49 922
Jian Zou China 17 512 0.9× 371 1.2× 208 0.9× 176 0.8× 243 1.7× 43 1.1k
Soňa Hubáčková Czechia 15 646 1.1× 208 0.7× 158 0.7× 246 1.2× 103 0.7× 27 1.1k
Qiuyang Chen China 15 464 0.8× 363 1.2× 225 1.0× 152 0.7× 82 0.6× 38 831
Yanping Gong China 21 517 0.9× 201 0.7× 219 0.9× 146 0.7× 86 0.6× 54 1.1k
Mingxuan Feng China 16 857 1.4× 488 1.6× 210 0.9× 102 0.5× 151 1.0× 48 1.3k
Longchang Jiang Germany 8 674 1.1× 622 2.0× 350 1.5× 139 0.7× 102 0.7× 14 1.1k
Romain Riscal United States 9 492 0.8× 356 1.2× 192 0.8× 75 0.4× 118 0.8× 12 822
Shamir Cassim France 14 407 0.7× 281 0.9× 149 0.6× 116 0.5× 104 0.7× 17 696

Countries citing papers authored by Yu Qi

Since Specialization
Citations

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

Fields of papers citing papers by Yu Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Qi. A scholar is included among the top collaborators of Yu Qi 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 Yu Qi. Yu Qi 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, Zaixin, et al.. (2025). The calculated and the rapid equilibrium dialyzed human serum free testosterone by LC-MS/MS and their performances in PCOS diagnosis. Clinica Chimica Acta. 571. 120210–120210. 1 indexed citations
2.
3.
Zhou, Hong, et al.. (2024). Hypomethylation-associated ELF3 helps nasopharyngeal carcinoma to escape immune surveillance via MUC16-mediated glycolytic metabolic reprogramming. American Journal of Physiology-Cell Physiology. 327(4). C1125–C1142. 1 indexed citations
4.
Shao, Yingchun, Mengmeng Li, Yanying Wang, et al.. (2024). GDF11 mitigates high glucose-induced cardiomyocytes apoptosis by inhibiting the ALKBH5-FOXO3-CDR1as/Hippo signaling pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(5). 119656–119656. 6 indexed citations
5.
Qi, Yu, Xu Liu, Boyan Xu, et al.. (2024). Cerebral white matter injury in haemodialysis patients: a cross-sectional tract-based spatial statistics and fixel-based analysis. Clinical Kidney Journal. 17(10). sfae286–sfae286. 2 indexed citations
6.
Wang, Rufang, et al.. (2023). Ferritinophagy-mediated apoptosis and paraptosis induction involved MAPK and PI3K/AKT pathway in mechanism of an iron chelator. Biochemical Pharmacology. 218. 115874–115874. 7 indexed citations
7.
Qi, Yu, et al.. (2023). E2F3 renders an immunosuppressive tumor microenvironment in nasopharyngeal carcinoma: Involvements of the transcription activation of PRC1 and BIRC5. Immunity Inflammation and Disease. 11(8). e987–e987. 3 indexed citations
8.
Shao, Yingchun, Mengmeng Li, Yu Qi, et al.. (2022). CircRNA CDR1as promotes cardiomyocyte apoptosis through activating hippo signaling pathway in diabetic cardiomyopathy. European Journal of Pharmacology. 922. 174915–174915. 53 indexed citations
9.
Liu, Yafei, Bo Dong, Lan Huang, et al.. (2022). A pan-cancer analysis of the oncogenic role of secreted phosphoprotein 1 (SPP1) in human cancers. Annals of Translational Medicine. 10(6). 279–279. 28 indexed citations
10.
Gu, Zhuoyu, Yang Yang, Qian Ma, et al.. (2022). HNRNPC, a predictor of prognosis and immunotherapy response based on bioinformatics analysis, is related to proliferation and invasion of NSCLC cells. Respiratory Research. 23(1). 362–362. 22 indexed citations
11.
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Zhao, Xuan, Shasha Liu, Xinfeng Chen, et al.. (2021). L1CAM overexpression promotes tumor progression through recruitment of regulatory T cells in esophageal carcinoma. Cancer Biology and Medicine. 18(2). 547–561. 17 indexed citations
13.
Liu, Yafei, Lan Huang, Chun‐yang Zhang, et al.. (2021). miRNA-218/FANCI is associated with metastasis and poor prognosis in lung adenocarcinoma: a bioinformatics analysis. Annals of Translational Medicine. 9(16). 1298–1298. 7 indexed citations
14.
Zheng, Yujia, Yu Li, Bo Tang, et al.. (2020). IL-6-induced CD39 expression on tumor-infiltrating NK cells predicts poor prognosis in esophageal squamous cell carcinoma. Cancer Immunology Immunotherapy. 69(11). 2371–2380. 41 indexed citations
15.
Lu, Zhongjie, Yu Qi, Shui‐Hong Zhou, et al.. (2019). <p>Construction of a GLUT-1 and HIF-1&alpha; gene knockout cell model in HEp-2 cells using the CRISPR/Cas9 technique</p>. Cancer Management and Research. Volume 11. 2087–2096. 14 indexed citations
16.
Zheng, Yujia, Yu Li, Jingyao Lian, et al.. (2019). TNF-α-induced Tim-3 expression marks the dysfunction of infiltrating natural killer cells in human esophageal cancer. Journal of Translational Medicine. 17(1). 165–165. 78 indexed citations
17.
Song, Haibin, Zhuo Yu, Xuehua Sun, et al.. (2018). Androgen receptor drives hepatocellular carcinogenesis by activating enhancer of zeste homolog 2-mediated Wnt/β-catenin signaling. EBioMedicine. 35. 155–166. 40 indexed citations
18.
19.
Zhang, Chunyang, Yu Qi, Xiangnan Li, et al.. (2014). The role of CCL20/CCR6 axis in recruiting Treg cells to tumor sites of NSCLC patients. Biomedicine & Pharmacotherapy. 69. 242–248. 47 indexed citations
20.
Li, Xin, Xinhua Wang, Mingzhi Zhang, et al.. (2014). Quercetin Potentiates the Antitumor Activity of Rituximab in Diffuse Large B-Cell Lymphoma by Inhibiting STAT3 Pathway. Cell Biochemistry and Biophysics. 70(2). 1357–1362. 15 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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