Ge Qin

6.8k total citations
37 papers, 782 citations indexed

About

Ge Qin is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ge Qin has authored 37 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 13 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ge Qin's work include Cancer Immunotherapy and Biomarkers (5 papers), Estrogen and related hormone effects (4 papers) and Immunotherapy and Immune Responses (3 papers). Ge Qin is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Estrogen and related hormone effects (4 papers) and Immunotherapy and Immune Responses (3 papers). Ge Qin collaborates with scholars based in China. Ge Qin's co-authors include Fei Xu, Tiebang Kang, Wuguo Deng, Xin Wang, Ruhua Zhang, Yuanzhong Wu, Dan Liao, Tao Qin, Qiufan Zheng and Wen Xia and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Ge Qin

33 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Qin China 15 369 313 170 149 86 37 782
Xiaoting Yu China 17 423 1.1× 198 0.6× 317 1.9× 148 1.0× 107 1.2× 43 900
Qingyang Gu China 13 350 0.9× 235 0.8× 151 0.9× 114 0.8× 62 0.7× 26 666
Manabu Seino Japan 14 471 1.3× 251 0.8× 237 1.4× 120 0.8× 44 0.5× 31 748
Weipeng Zhao China 16 501 1.4× 379 1.2× 205 1.2× 226 1.5× 198 2.3× 67 1.1k
Congcong Zhu China 12 370 1.0× 262 0.8× 224 1.3× 102 0.7× 146 1.7× 30 710
Zhijun Min China 16 453 1.2× 197 0.6× 291 1.7× 195 1.3× 83 1.0× 25 865
Misao Yoneda Japan 15 238 0.6× 216 0.7× 119 0.7× 79 0.5× 105 1.2× 41 701
Wang Ling China 15 473 1.3× 269 0.9× 171 1.0× 62 0.4× 163 1.9× 32 802
Jiacheng Lin China 16 275 0.7× 161 0.5× 111 0.7× 89 0.6× 115 1.3× 28 603

Countries citing papers authored by Ge Qin

Since Specialization
Citations

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

Fields of papers citing papers by Ge Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Qin. A scholar is included among the top collaborators of Ge 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 Ge Qin. Ge 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.
Qin, Ge, Guolin He, Mingyu Liang, et al.. (2025). Evaluation of first‐trimester ultrasound screening strategy for fetal congenital heart disease. Ultrasound in Obstetrics and Gynecology. 65(4). 478–486.
2.
Li, Jianxia, Huabin Hu, Jianwei Zhang, et al.. (2025). Glycolysis-Driven Immune Evasion in Microsatellite Instability-High Colorectal Cancer: An Integrated Single-Cell and Spatial Transcriptomics Study. OncoTargets and Therapy. Volume 18. 1027–1042.
3.
Qin, Ge, Yuanyuan Huang, Jingjing Ma, et al.. (2025). Analysis of factors affecting treatment adherence in patients with keloid disease. Archives of Dermatological Research. 317(1). 390–390. 1 indexed citations
4.
Peng, Xing, et al.. (2025). Topical Glucocorticoid-Induced Cushing’s Syndrome in a Patient with Erythrodermic Psoriasis: A Case Report. Clinical Cosmetic and Investigational Dermatology. Volume 18. 2127–2132.
5.
Zhang, Li Min, et al.. (2024). Effect of dietary supplementation of yeast culture Saccharomyces cerevisiae in lactating female goats. Frontiers in Veterinary Science. 11. 1482800–1482800. 1 indexed citations
6.
Wu, Zehua, Jianxia Li, Chao Wang, et al.. (2024). PD-1 blockade plus COX inhibitors in dMMR metastatic colorectal cancer: Clinical, genomic, and immunologic analyses from the PCOX trial. Med. 5(8). 998–1015.e6. 7 indexed citations
7.
Bai, Fan, et al.. (2023). Tumor stroma Siglec15 expression is a poor prognosis predictor in colon adenocarcinoma. Journal of Cancer. 14(16). 2998–3008. 2 indexed citations
8.
Wu, Di, Wenjun Lu, Yilin Huang, et al.. (2023). The impact of multi-drug resistant Pseudomonas aeruginosa infections on acute pancreatitis patients. BMC Infectious Diseases. 23(1). 340–340. 6 indexed citations
9.
Wang, Xin, Ge Qin, Xiaoting Liang, et al.. (2020). Targeting the CK1α/CBX4 axis for metastasis in osteosarcoma. Nature Communications. 11(1). 1141–1141. 110 indexed citations
10.
Zhang, Kai, Kuikui Jiang, Ruoxi Hong, et al.. (2020). Identification and characterization of critical genes associated with tamoxifen resistance in breast cancer. PeerJ. 8. e10468–e10468. 15 indexed citations
11.
Xu, Fei, Wen Xia, Hai Liao, et al.. (2020). Administration of Lapatinib with Food Increases Its Plasma Concentration in Chinese Patients with Metastatic Breast Cancer: A Prospective Phase II Study. The Oncologist. 25(9). e1286–e1291. 3 indexed citations
12.
Wang, Yizhen, Jinxin Li, Xue Feng, et al.. (2019). Production of Oxygen-containing Compounds Catalytic from Depolymerization of Calcium Lignosulphonate by Submicron-scale MgAl Solid Base. 40(11). 2322–2331. 1 indexed citations
13.
Zhang, Kai, Ruoxi Hong, Fei Xu, et al.. (2019). CDK4/6 inhibitor palbociclib enhances the effect of pyrotinib in HER2-positive breast cancer. Cancer Letters. 447. 130–140. 35 indexed citations
14.
Xiao, Fan, Chunming Tu, Ge Qin, et al.. (2019). Ripple Voltage Suppression and Control Strategy for CHB-Based Solid-State Transformer. IEEE Journal of Emerging and Selected Topics in Power Electronics. 9(1). 1104–1118. 20 indexed citations
15.
Lu, Qianyi, Tao Qin, Fei Xu, et al.. (2018). Clinical implication of platelet-lymphocyte ratio and PD-L1 in breast cancer patients. Translational Cancer Research. 7(3). 659–667. 1 indexed citations
16.
Qin, Tao, Qianyi Lu, Xinke Zhang, et al.. (2017). Nomogram Model of LNR Predicts Survival in Premenopausal Patients with Node-positive Luminal Breast Cancer. Anticancer Research. 37(8). 4575–4586. 3 indexed citations
17.
Liu, Tianze, Wenbin Li, Wenjing Lü, et al.. (2017). RBFOX3 Promotes Tumor Growth and Progression via hTERT Signaling and Predicts a Poor Prognosis in Hepatocellular Carcinoma. Theranostics. 7(12). 3138–3154. 25 indexed citations
18.
Wang, Jingshu, Kun Zou, Feng Xu, et al.. (2017). Downregulation of NMI promotes tumor growth and predicts poor prognosis in human lung adenocarcinomas. Molecular Cancer. 16(1). 158–158. 41 indexed citations
19.
Wang, Xin, Liping Li, Yuanzhong Wu, et al.. (2016). CBX4 Suppresses Metastasis via Recruitment of HDAC3 to the Runx2 Promoter in Colorectal Carcinoma. Cancer Research. 76(24). 7277–7289. 69 indexed citations
20.
Zheng, Qiufan, Wen Xia, Qianyi Lu, et al.. (2016). Prognostic value of endocrine treatment-related symptoms in patients with breast cancer: a meta-analysis. Breast Cancer Research and Treatment. 160(2). 197–209.

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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