Rui Guo
About
Rui Guo is a scholar working on Otorhinolaryngology, Surgery and Oncology.
According to data from OpenAlex, Rui Guo has authored 93 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Otorhinolaryngology, 48 papers in Surgery and 34 papers in Oncology. Recurrent topics in Rui Guo's work include Head and Neck Cancer Studies (65 papers), Head and Neck Surgical Oncology (27 papers) and Lung Cancer Research Studies (13 papers). Rui Guo is often cited by papers focused on Head and Neck Cancer Studies (65 papers), Head and Neck Surgical Oncology (27 papers) and Lung Cancer Research Studies (13 papers). Rui Guo collaborates with scholars based in China, United States and Hong Kong. Rui Guo's co-authors include Jun Ma, Ying Sun, Yan‐Ping Mao, Ling‐Long Tang, Lei Chen, Ai-Hua Lin, Guan‐Qun Zhou, Wen‐Fei Li, Lizhi Liu and Aihua Lin and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.
In The Last Decade
Rui Guo
87 papers receiving 2.2k citations
Peers
Rui Guo
Ashwini Budrukkar India
Lisbeth Juhler Andersen Denmark
Claus Andrup Kristensen Denmark
Wen-Fei Li China
Antoine Lusinchi France
Hanne Primdahl Denmark
Fréderic Duprez Belgium
C. Fallai Italy
F. Adab United Kingdom
Ying Huang China
Citations per year, relative to Rui Guo Rui Guo (= 1×)
peers
Ashwini Budrukkar
Countries citing papers authored by Rui Guo
Since
Specialization
Citations
This map shows the geographic impact of Rui Guo'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 Rui Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Guo more than expected).
Fields of papers citing papers by Rui Guo
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Rui Guo. 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 Rui Guo. The network helps show where Rui Guo may publish in the future.
Co-authorship network of co-authors of Rui Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Rui Guo. A scholar is included among the top collaborators of Rui Guo 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 Rui Guo. Rui Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Chen, J., Weizheng Zhang, Qingjie Li, et al.. (2025). USP18 promotes nasopharyngeal carcinoma radioresistance via TRIM29 oligomerization and ubiquitination. Cell Death and Differentiation.
2.
Meng, Xiangxi, Zhen Cao, Wei Zhao, et al.. (2023). Harmonization of standard uptake values across different positron emission tomography/computed tomography systems and different reconstruction algorithms: validation in oncology patients. EJNMMI Physics. 10(1). 19–19.
3.
Wang, Gaoyuan, Chenglong Huang, Xiaojing Du, et al.. (2023). The value of integrating tumor volume and plasma Epstein-Barr virus DNA load during sequential chemoradiotherapy for prognostic prediction and therapeutic guidance in high-risk locoregionally advanced nasopharyngeal carcinoma. Oral Oncology. 145. 106500–106500.
4.
Huang, Chenglong, Gaoyuan Wang, Lin Chen, et al.. (2023). Oral chemotherapy versus observation alone in nasopharyngeal carcinoma patients with persistently detected circulating cell-free Epstein-Barr virus DNA during follow-up. Radiotherapy and Oncology. 190. 110032–110032.
5.
Chen, Jinwei, Kai‐Bin Yang, Gaoyuan Wang, et al.. (2023). Genetic associations of leisure sedentary behaviors and the risk of 15 site‐specific cancers: A Mendelian randomization study. Cancer Medicine. 12(12). 13623–13636.
6.
Chen, Yu‐Pei, Rui Guo, Ling‐Long Tang, et al.. (2023). Patterns and Prognosis of Local Recurrence of Nasopharyngeal Carcinoma after Intensity-modulated Radiotherapy. Journal of Cancer. 15(2). 456–465.
7.
Huang, Chenglong, Xiaojing Du, Gaoyuan Wang, et al.. (2022). Upper-Neck Versus Whole-Neck Irradiation at the Contralateral Uninvolved Neck in Patients With Unilateral N3 Nasopharyngeal Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 116(4). 788–796.
8.
Mao, Yan‐Ping, Shunxin Wang, William M. Lydiatt, et al.. (2021). Unambiguous advanced radiologic extranodal extension determined by MRI predicts worse outcomes in nasopharyngeal carcinoma: Potential improvement for future editions of N category systems. Radiotherapy and Oncology. 157. 114–121.
9.
Xu, Cheng, Ling‐Long Tang, Wen-Fei Li, et al.. (2020). Induction versus adjuvant chemotherapy combined with concurrent chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma: A propensity score-matched analysis. Oral Oncology. 105. 104686–104686.
10.
Hui, Edwin P., Brigette Ma, W.K. Lam, et al.. (2020). Integrating postradiotherapy plasma Epstein–Barr virus DNA and TNM stage for risk stratification of nasopharyngeal carcinoma to adjuvant therapy. Annals of Oncology. 31(6). 769–779.
11.
Li, Qingjie, Yan‐Ping Mao, Rui Guo, et al.. (2020). A Nomogram Based on Serum Biomarkers and Clinical Characteristics to Predict Survival in Patients With Non-Metastatic Nasopharyngeal Carcinoma. Frontiers in Oncology. 10. 594363–594363.
12.
Luo, Wei‐Jie, Yanfen Feng, Rui Guo, et al.. (2019). Patterns of EBV-positive cervical lymph node involvement in head and neck cancer and implications for the management of nasopharyngeal carcinoma T0 classification. Oral Oncology. 91. 7–12.
13.
Wu, Minliang, Rui Guo, Haiying Dai, et al.. (2019). [Application of modified keystone flap in repairing of skin and soft tissue defect around joint].. Europe PMC (PubMed Central). 33(4). 471–474.
14.
Guo, Rui, Chen‐Lu Lian, Zhen‐Yu He, et al.. (2019). Lymph Node Status and Outcomes for Nasopharyngeal Carcinoma According to Histological Subtypes: A SEER Population-Based Retrospective Analysis. Advances in Therapy. 36(11). 3123–3133.
15.
Peng, Liang, Cheng Xu, Yu‐Pei Chen, et al.. (2018). Optimizing the cumulative cisplatin dose during radiotherapy in nasopharyngeal carcinoma: Dose-effect analysis for a large cohort. Oral Oncology. 89. 102–106.
16.
Tang, Ling‐Long, Yu‐Pei Chen, Yan‐Ping Mao, et al.. (2017). Validation of the 8th Edition of the UICC/AJCC Staging System for Nasopharyngeal Carcinoma From Endemic Areas in the Intensity-Modulated Radiotherapy Era. Journal of the National Comprehensive Cancer Network. 15(7). 913–919.
17.
Peng, Hao, Lei Chen, Ling‐Long Tang, et al.. (2017). Significant value of 18F-FDG-PET/CT in diagnosing small cervical lymph node metastases in patients with nasopharyngeal carcinoma treated with intensity-modulated radiotherapy. Chinese Journal of Cancer. 36(1). 95–95.
18.
Du, Xiao-Jing, Ling‐Long Tang, Yan‐Ping Mao, et al.. (2015). Value of the prognostic nutritional index and weight loss in predicting metastasis and long-term mortality in nasopharyngeal carcinoma. Journal of Translational Medicine. 13(1). 364–364.
19.
Chen, Yu‐Pei, Ling‐Long Tang, Yan‐Ping Mao, et al.. (2015). Prognostic Value and Grading of MRI-Based T Category in Patients With Nasopharyngeal Carcinoma Without Lymph Node Metastasis Undergoing Intensity-Modulated Radiation Therapy. Medicine. 94(43). e1624–e1624.
20.
Zhang, Yuan, Wen-Fei Li, Lei Chen, et al.. (2015). Prognostic value of parotid lymph node metastasis in patients with nasopharyngeal carcinoma receiving intensity-modulated radiotherapy. Scientific Reports. 5(1). 13919–13919.
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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