Chao Qin

7.1k total citations · 1 hit paper
238 papers, 4.8k citations indexed

About

Chao Qin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Chao Qin has authored 238 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Molecular Biology, 79 papers in Pulmonary and Respiratory Medicine and 63 papers in Cancer Research. Recurrent topics in Chao Qin's work include Renal cell carcinoma treatment (35 papers), Cancer-related molecular mechanisms research (34 papers) and RNA modifications and cancer (24 papers). Chao Qin is often cited by papers focused on Renal cell carcinoma treatment (35 papers), Cancer-related molecular mechanisms research (34 papers) and RNA modifications and cancer (24 papers). Chao Qin collaborates with scholars based in China, United States and South Korea. Chao Qin's co-authors include Robert D. Foreman, Changjun Yin, Meilin Wang, Pengfei Shao, Haiyan Chu, Xiaobing Ju, Zhengdong Zhang, Pu Li, Qiang Cao and Xiaoxin Meng and has published in prestigious journals such as Gastroenterology, PLoS ONE and Cancer Research.

In The Last Decade

Chao Qin

232 papers receiving 4.8k citations

Hit Papers

HIF-1α drives resistance ... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Qin China 36 2.7k 1.7k 1.2k 579 493 238 4.8k
Peng Zhang China 30 2.0k 0.8× 1.1k 0.6× 606 0.5× 306 0.5× 443 0.9× 263 4.1k
Robert L. Medcalf Australia 45 2.0k 0.7× 1.8k 1.0× 556 0.5× 454 0.8× 483 1.0× 169 6.1k
Yoshihiro Matsumoto Japan 37 1.4k 0.5× 403 0.2× 1.1k 1.0× 766 1.3× 968 2.0× 299 5.1k
Feng Xu China 34 1.5k 0.6× 829 0.5× 490 0.4× 677 1.2× 443 0.9× 241 3.8k
Margarete Goppelt‐Struebe Germany 40 2.4k 0.9× 488 0.3× 476 0.4× 540 0.9× 354 0.7× 121 5.1k
Sabrina T. Reis Brazil 25 1.1k 0.4× 913 0.5× 523 0.5× 304 0.5× 369 0.7× 134 2.3k
Yangxin Li China 37 3.2k 1.2× 1.3k 0.8× 218 0.2× 685 1.2× 254 0.5× 89 5.0k
Yu Gan China 42 2.7k 1.0× 1.4k 0.8× 711 0.6× 379 0.7× 784 1.6× 176 5.2k
Riko Kitazawa Japan 39 2.7k 1.0× 638 0.4× 407 0.4× 578 1.0× 1.5k 3.0× 230 5.6k

Countries citing papers authored by Chao Qin

Since Specialization
Citations

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

Fields of papers citing papers by Chao Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Qin. A scholar is included among the top collaborators of Chao Qin 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 Chao Qin. Chao Qin 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, Xi, You‐Yang Zhao, Xin Huang, et al.. (2025). ADME gene-driven prognostic model for bladder cancer: a breakthrough in predicting survival and personalized treatment. Hereditas. 162(1). 42–42. 2 indexed citations
2.
Qin, Chao, Hao Zhou, Shi-Yu Zhou, et al.. (2024). Prediction of programmed death-1 expression status in non–small cell lung cancer based on intratumoural and peritumoral computed tomography (CT) radiomics nomogram. Clinical Radiology. 79(9). e1089–e1100. 1 indexed citations
3.
Zhang, Junxiong, et al.. (2024). The effects of exercise on epigenetic modifications: focus on DNA methylation, histone modifications and non-coding RNAs. Human Cell. 37(4). 887–903. 4 indexed citations
4.
Qin, Chao, et al.. (2024). UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. 1810–1825. 12 indexed citations
5.
Zheng, Rui, Fang Gao, Yanping Xiao, et al.. (2023). LncRNA BCCE4 Genetically Enhances the PD‐L1/PD‐1 Interaction in Smoking‐Related Bladder Cancer by Modulating miR‐328‐3p‐USP18 Signaling. Advanced Science. 10(30). e2303473–e2303473. 28 indexed citations
6.
Chen, Xinglin, et al.. (2023). CHKB-AS1 enhances proliferation and resistance to NVP-BEZ235 of renal cancer cells via regulating the phosphorylation of MAP4 and PI3K/AKT/mTOR signaling. European journal of medical research. 28(1). 588–588. 3 indexed citations
7.
Qi, Feng, Wenyi Shen, Yifei Cheng, et al.. (2023). CSNK1D-mediated phosphorylation of HNRNPA2B1 induces miR-25-3p/miR-93-5p maturation to promote prostate cancer cell proliferation and migration through m6A-dependent manner. Cellular and Molecular Life Sciences. 80(6). 156–156. 11 indexed citations
8.
Zheng, Rui, Mulong Du, Yuqiu Ge, et al.. (2021). Identification of low-frequency variants of UGT1A3 associated with bladder cancer risk by next-generation sequencing. Oncogene. 40(13). 2382–2394. 10 indexed citations
9.
Miao, Chenkui, Chao Liang, Pu Li, et al.. (2021). TRIM37 orchestrates renal cell carcinoma progression via histone H2A ubiquitination-dependent manner. Journal of Experimental & Clinical Cancer Research. 40(1). 195–195. 27 indexed citations
10.
Qi, Yuan, Chao Qin, Qiang Cao, et al.. (2018). Polymorphism rs4787951 in IL-4R contributes to the increased risk of renal cell carcinoma in a Chinese population. Gene. 685. 242–247. 2 indexed citations
11.
Liu, Yiyang, Jian Qian, Meiling Bao, et al.. (2015). miR-134 Functions as a Tumor Suppressor in Cell Proliferation and Epithelial-to-Mesenchymal Transition by Targeting KRAS in Renal Cell Carcinoma Cells. DNA and Cell Biology. 34(6). 429–436. 58 indexed citations
12.
Li, Youguo, Chao Qin, Jun Xu, et al.. (2015). Laparoscopic Rour-en-Y gastric bypass for the treatment of type 2 diabetes mellitus. Zhonghua putong waike zazhi. 30(12). 957–960.
13.
Yang, Xiao, Pengchao Li, Jun Tao, et al.. (2014). Association betweenNFKB1−94ins/del ATTG Promoter Polymorphism and Cancer Susceptibility: An Updated Meta-Analysis. International Journal of Genomics. 2014. 1–8. 26 indexed citations
14.
Qin, Chao, Jiarong Chen, Xingrong Ju, et al.. (2014). Variants in angiogenesis-related genes and the risk of clear cell renal cell carcinoma. Mutagenesis. 29(6). 419–425. 14 indexed citations
16.
Yang, Xiao, Pengchao Li, Chao Qin, et al.. (2013). TSP-1-1223 A/G Polymorphism as a Potential Predictor of the Recurrence Risk of Bladder Cancer in a Chinese Population. International Journal of Genomics. 2013. 1–9. 2 indexed citations
17.
Qin, Chao, Li Cui, Qiang Cao, et al.. (2013). Application of the revised Tumour Node Metastasis (TNM) staging system of clear cell renal cell carcinoma in eastern China: advantages and limitations. Asian Journal of Andrology. 15(4). 550–557. 10 indexed citations
18.
Wang, Meilin, Haiyan Chu, Pu Li, et al.. (2012). Genetic Variants in miRNAs Predict Bladder Cancer Risk and Recurrence. Cancer Research. 72(23). 6173–6182. 73 indexed citations
19.
20.
Zhao, Hu, Chao Qin, Yan Fu, et al.. (2010). hOGG1 Ser326Cys Polymorphism and Renal Cell Carcinoma Risk in a Chinese Population. DNA and Cell Biology. 30(5). 317–321. 14 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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