Guan‐Qun Zhou

8.2k total citations · 2 hit papers
134 papers, 3.9k citations indexed

About

Guan‐Qun Zhou is a scholar working on Otorhinolaryngology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Guan‐Qun Zhou has authored 134 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Otorhinolaryngology, 59 papers in Surgery and 47 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Guan‐Qun Zhou's work include Head and Neck Cancer Studies (99 papers), Head and Neck Surgical Oncology (28 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers). Guan‐Qun Zhou is often cited by papers focused on Head and Neck Cancer Studies (99 papers), Head and Neck Surgical Oncology (28 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers). Guan‐Qun Zhou collaborates with scholars based in China, United States and Singapore. Guan‐Qun Zhou's co-authors include Ying Sun, Jun Ma, Ling‐Long Tang, Yan‐Ping Mao, Lei Chen, Ai-Hua Lin, Yu‐Pei Chen, Li Lin, Jia‐Wei Lv and Wen-Fei Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Guan‐Qun Zhou

127 papers receiving 3.9k citations

Hit Papers

Comparative safety of imm... 2018 2026 2020 2023 2018 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guan‐Qun Zhou China 32 1.7k 1.6k 1.1k 1.1k 916 134 3.9k
Jiade J. Lu China 39 1.6k 0.9× 1.5k 0.9× 1.6k 1.5× 2.0k 1.9× 438 0.5× 186 4.5k
Fady Geara Lebanon 30 1.1k 0.6× 1.3k 0.8× 938 0.9× 964 0.9× 626 0.7× 103 3.4k
Remco de Bree Netherlands 34 1.4k 0.8× 1.3k 0.8× 1.2k 1.1× 885 0.8× 337 0.4× 135 3.5k
Ester Orlandi Italy 35 1.3k 0.7× 1.3k 0.8× 1.2k 1.1× 1.1k 1.0× 213 0.2× 241 4.0k
Ai-Hua Lin China 30 2.0k 1.2× 1.4k 0.9× 1.3k 1.2× 1.0k 1.0× 339 0.4× 75 3.2k
Laura D. Locati Italy 38 1.8k 1.1× 2.8k 1.8× 2.9k 2.7× 1.1k 1.0× 552 0.6× 204 6.0k
Sean M. McBride United States 35 1.1k 0.6× 1.1k 0.7× 1.0k 1.0× 2.4k 2.2× 456 0.5× 214 4.2k
Tejpal Gupta India 33 1.6k 0.9× 879 0.6× 1.2k 1.1× 1.7k 1.6× 355 0.4× 300 4.5k
Stewart Y. Tung China 36 3.6k 2.1× 2.2k 1.4× 2.7k 2.5× 1.8k 1.7× 478 0.5× 88 5.2k
Kian Ang United States 28 2.9k 1.6× 1.5k 0.9× 1.8k 1.7× 2.0k 1.9× 352 0.4× 48 5.0k

Countries citing papers authored by Guan‐Qun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Guan‐Qun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan‐Qun Zhou. 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 Guan‐Qun Zhou. The network helps show where Guan‐Qun Zhou may publish in the future.

Co-authorship network of co-authors of Guan‐Qun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Guan‐Qun Zhou. A scholar is included among the top collaborators of Guan‐Qun Zhou 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 Guan‐Qun Zhou. Guan‐Qun Zhou 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.
He, Rui, Weijian Hou, Y. F. Long, et al.. (2025). Real-time artificial intelligence-assisted detection and segmentation of nasopharyngeal carcinoma using multimodal endoscopic data: a multi-center, prospective study. EClinicalMedicine. 81. 103120–103120. 1 indexed citations
2.
Wang, Guangyu, Xiao Yang, Sijuan Huang, et al.. (2025). Risk assessment and quality management in AIO based on CT‐linac for nasopharyngeal carcinoma: An improved FMEA and FTA approach. Medical Physics. 52(4). 2425–2437. 1 indexed citations
3.
Lv, Wenbing, Chen‐Fei Wu, Zhilong Chen, et al.. (2025). A Serial MRI–based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma. Radiology Artificial Intelligence. 7(2). e230544–e230544.
4.
Li, Junlun, Huajian Yao, Lingli Li, et al.. (2025). Preliminary study of the tectonic structure and seismogenic environment of the M4.7 Feidong earthquake sequence on September 18, 2024 in Hefei. Earthquake Science. 38(3). 234–252. 2 indexed citations
5.
Chen, Zihang, Xu Han, Li Lin, et al.. (2025). Harnessing deep learning to optimize induction chemotherapy choices in nasopharyngeal carcinoma. Radiotherapy and Oncology. 211. 111047–111047.
6.
Wang, Yaqin, Xudong Xu, Peng Sun, et al.. (2024). KLF5 regulates actin remodeling to enhance the metastasis of nasopharyngeal carcinoma. Oncogene. 43(23). 1779–1795. 4 indexed citations
7.
Long, Zhi‐Qing, Zi‐Qi Zheng, Lulu Zhang, et al.. (2023). m6A-enriched lncRNA LINC00839 promotes tumor progression by enhancing TAF15-mediated transcription of amine oxidase AOC1 in nasopharyngeal carcinoma. Journal of Biological Chemistry. 299(7). 104873–104873. 11 indexed citations
8.
Li, Xiaomin, Xiaomin Zhang, Junyan Li, et al.. (2022). The immune modulation effects of gemcitabine plus cisplatin induction chemotherapy in nasopharyngeal carcinoma. Cancer Medicine. 11(18). 3437–3444. 8 indexed citations
9.
Kou, Jia, Lin Li, Guan‐Qun Zhou, et al.. (2021). Individualized elective irradiation of the clinically node‐negative neck in definitive radiotherapy for head and neck squamous cell carcinoma. Cancer Communications. 41(4). 303–315. 4 indexed citations
10.
Zheng, Zi‐Qi, Zhi‐Xuan Li, Xu Liu, et al.. (2020). Long Noncoding RNA TINCR-Mediated Regulation of Acetyl-CoA Metabolism Promotes Nasopharyngeal Carcinoma Progression and Chemoresistance. Cancer Research. 80(23). 5174–5188. 86 indexed citations
11.
Chen, Yue, Zhiyong Li, Guan‐Qun Zhou, & Ying Sun. (2020). An Immune-Related Gene Prognostic Index for Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 27(1). 330–341. 183 indexed citations
12.
Yang, Xing‐Li, Guan‐Qun Zhou, Li Lin, et al.. (2020). Prognostic value of radiation interruption in different periods for nasopharyngeal carcinoma patients in the intensity‐modulated radiation therapy era. Cancer Medicine. 10(1). 143–155. 4 indexed citations
13.
Zheng, Zi‐Qi, Zhi‐Xuan Li, Guan‐Qun Zhou, et al.. (2019). Long Noncoding RNA FAM225A Promotes Nasopharyngeal Carcinoma Tumorigenesis and Metastasis by Acting as ceRNA to Sponge miR-590-3p/miR-1275 and Upregulate ITGB3. Cancer Research. 79(18). 4612–4626. 279 indexed citations
14.
Lin, Li, Qi Dou, Yueming Jin, et al.. (2019). Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma. Radiology. 291(3). 677–686. 237 indexed citations breakdown →
15.
16.
Lv, Jia‐Wei, Yu‐Pei Chen, Guan‐Qun Zhou, et al.. (2019). Liquid biopsy tracking during sequential chemo-radiotherapy identifies distinct prognostic phenotypes in nasopharyngeal carcinoma. Nature Communications. 10(1). 3941–3941. 111 indexed citations
17.
Yao, Ji‐Jin, Jun Dong, Zibin Liang, et al.. (2019). Prognostic value of neutrophil-to-lymphocyte ratio in advanced nasopharyngeal carcinoma: a large institution-based cohort study from an endemic area. BMC Cancer. 19(1). 37–37. 30 indexed citations
18.
Lin, Li, Yao Lu, Jiao Tian, et al.. (2017). Delineation of Neck Clinical Target Volume Specific to Nasopharyngeal Carcinoma Based on Lymph Node Distribution and the International Consensus Guidelines. International Journal of Radiation Oncology*Biology*Physics. 100(4). 891–902. 28 indexed citations
19.
Lv, Jia-Wei, Yu‐Pei Chen, Guan‐Qun Zhou, et al.. (2017). Do Published Data in Trials Assessing Cancer Drugs Reflect the Real Picture of Efficacy and Safety?. Journal of the National Comprehensive Cancer Network. 15(11). 1363–1371. 5 indexed citations
20.
Ren, Xianyue, Guan‐Qun Zhou, Wei Jiang, et al.. (2015). Low SFRP1 Expression Correlates with Poor Prognosis and Promotes Cell Invasion by Activating the Wnt/β-Catenin Signaling Pathway in NPC. Cancer Prevention Research. 8(10). 968–977. 30 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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