Chunyan Cui

913 total citations
35 papers, 493 citations indexed

About

Chunyan Cui is a scholar working on Otorhinolaryngology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chunyan Cui has authored 35 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Otorhinolaryngology, 21 papers in Surgery and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chunyan Cui's work include Head and Neck Cancer Studies (22 papers), Head and Neck Surgical Oncology (16 papers) and Salivary Gland Tumors Diagnosis and Treatment (9 papers). Chunyan Cui is often cited by papers focused on Head and Neck Cancer Studies (22 papers), Head and Neck Surgical Oncology (16 papers) and Salivary Gland Tumors Diagnosis and Treatment (9 papers). Chunyan Cui collaborates with scholars based in China and United States. Chunyan Cui's co-authors include Lizhi Liu, Haojiang Li, Shaobo Liang, Jian Zhou, Annan Dong, Ming‐Yuan Chen, Lizhi Liu, Chuanbo Xie, Shunxin Wang and Li Tian and has published in prestigious journals such as PLoS ONE, Cancer and Frontiers in Immunology.

In The Last Decade

Chunyan Cui

35 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunyan Cui China 14 264 171 156 126 111 35 493
Kwok‐Hung Au China 15 305 1.2× 187 1.1× 194 1.2× 234 1.9× 187 1.7× 28 659
Karin Söderström Sweden 11 79 0.3× 205 1.2× 148 0.9× 43 0.3× 133 1.2× 16 451
Seung Yeun Chung South Korea 14 44 0.2× 67 0.4× 194 1.2× 155 1.2× 159 1.4× 31 537
Kee H. Wong United Kingdom 19 249 0.9× 71 0.4× 292 1.9× 127 1.0× 218 2.0× 35 741
Baher Elgohari United States 16 246 0.9× 109 0.6× 323 2.1× 109 0.9× 177 1.6× 33 616
Qianyi Xu United States 13 86 0.3× 84 0.5× 245 1.6× 63 0.5× 293 2.6× 43 553
Changjuan Tao China 12 273 1.0× 130 0.8× 321 2.1× 157 1.2× 188 1.7× 29 703
K. Brunner Germany 13 59 0.2× 124 0.7× 36 0.2× 130 1.0× 103 0.9× 35 464
Jacqueline Siok Gek Hwang Singapore 11 134 0.5× 134 0.8× 35 0.2× 148 1.2× 73 0.7× 25 405
Zhe Jin China 14 38 0.1× 88 0.5× 283 1.8× 185 1.5× 161 1.5× 37 525

Countries citing papers authored by Chunyan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Chunyan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyan Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyan Cui. A scholar is included among the top collaborators of Chunyan Cui 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 Chunyan Cui. Chunyan Cui 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.
Zheng, Jie, Jian Mou, Chunyan Cui, et al.. (2024). Identification of hub genes in calcific aortic valve disease. Computers in Biology and Medicine. 172. 108214–108214. 2 indexed citations
2.
Li, Jiao, Qin Zhao, Haojiang Li, et al.. (2022). Prognostic value of quantitative cervical nodal necrosis burden on MRI in nasopharyngeal carcinoma and its role as a stratification marker for induction chemotherapy. European Radiology. 32(11). 7710–7721. 10 indexed citations
3.
Wenlong, Guan, Chunyan Cui, Haojiang Li, et al.. (2022). Carotid space involvement is a prognostic factor and marker for induction chemotherapy in patients with nasopharyngeal carcinoma. Oral Oncology. 135. 106230–106230. 3 indexed citations
4.
Zhao, Qin, Yi Cai, Jian Zhou, et al.. (2021). MRI of nasopharyngeal carcinoma: parapharyngeal subspace involvement has prognostic value and influences T-staging in the IMRT era. European Radiology. 32(1). 262–271. 7 indexed citations
5.
Zheng, Limei, Chunyan Cui, Oumin Shi, et al.. (2020). Incidence and mortality of ovarian cancer at the global, regional, and national levels, 1990–2017. Gynecologic Oncology. 159(1). 239–247. 56 indexed citations
6.
Zhang, Yadong, Xiangping Li, Kuikui Zhou, et al.. (2020). Influence of Experimental Autoimmune Prostatitis on Sexual Function and the Anti-inflammatory Efficacy of Celecoxib in a Rat Model. Frontiers in Immunology. 11. 574212–574212. 13 indexed citations
7.
Liang, Shaobo, Lusi Chen, Haiyang Chen, et al.. (2020). Prognostic influence of prevertebral space involvement in nasopharyngeal carcinoma: A retrospective study. Radiotherapy and Oncology. 156. 113–119. 4 indexed citations
9.
Cui, Chunyan, et al.. (2020). Grading and prognosis of weight loss before and after treatment with optimal cutoff values in nasopharyngeal carcinoma. Nutrition. 78. 110943–110943. 5 indexed citations
10.
Li, Haojiang, Mingyang Chen, Shaobo Liang, et al.. (2020). Excessive vitamin B6 during treatment is related to poor prognosis of patients with nasopharyngeal carcinoma: A U-shaped distribution suggests low dose supplement. Clinical Nutrition. 40(4). 2293–2300. 7 indexed citations
12.
Liu, Yifei, Annan Dong, Fei Ai, et al.. (2019). Nodal grouping in nasopharyngeal carcinoma: prognostic significance, N classification, and a marker for the identification of candidates for induction chemotherapy. European Radiology. 30(4). 2115–2124. 30 indexed citations
13.
Zhang, Yun, Yifei Liu, Haojiang Li, et al.. (2019). Prognostic value of retropharyngeal lymph node metastasis laterality in nasopharyngeal carcinoma and a proposed modification to the UICC/AJCC N staging system. Radiotherapy and Oncology. 140. 90–97. 28 indexed citations
14.
Wu, Liqing, Weike Zeng, Shaobo Liang, et al.. (2019). Paranasal sinus invasion suggested T4 classification of patients of nasopharyngeal carcinoma: A two‐center retrospective investigation. Head & Neck. 41(12). 4088–4097. 4 indexed citations
15.
Jiang, Chongming, Chunyan Cui, Wei-Rong Zhong, et al.. (2016). Tumor proliferation and diffusion on percolation clusters. Journal of Biological Physics. 42(4). 637–658. 6 indexed citations
16.
Chen, Yong, Xuefeng Hu, Yan Wang, et al.. (2015). Is maximum primary tumor diameter still a prognostic factor in patients with nasopharyngeal carcinoma treated using intensity-modulated radiotherapy?. BMC Cancer. 15(1). 305–305. 9 indexed citations
17.
Jiang, Chongming, et al.. (2014). The Anomalous Diffusion of a Tumor Invading with Different Surrounding Tissues. PLoS ONE. 9(10). e109784–e109784. 22 indexed citations
18.
Tian, Li, et al.. (2011). CT findings of primary non-teratomatous germ cell tumors of the mediastinum—A report of 15 cases. European Journal of Radiology. 81(5). 1057–1061. 17 indexed citations
19.
Cui, Chunyan, Lizhi Liu, Jun Ma, et al.. (2009). Trigeminal nerve palsy in nasopharyngeal carcinoma: Correlation between clinical findings and magnetic resonance imaging. Head & Neck. 31(6). 822–828. 10 indexed citations
20.
Liu, Lizhi, Shaobo Liang, Li Li, et al.. (2009). Prognostic impact of magnetic resonance imaging‐detected cranial nerve involvement in nasopharyngeal carcinoma. Cancer. 115(9). 1995–2003. 48 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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