Guo-Ping Shen

486 total citations
11 papers, 390 citations indexed

About

Guo-Ping Shen is a scholar working on Molecular Biology, Otorhinolaryngology and Oncology. According to data from OpenAlex, Guo-Ping Shen has authored 11 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Otorhinolaryngology and 4 papers in Oncology. Recurrent topics in Guo-Ping Shen's work include Head and Neck Cancer Studies (4 papers), Lung Cancer Treatments and Mutations (3 papers) and RNA modifications and cancer (2 papers). Guo-Ping Shen is often cited by papers focused on Head and Neck Cancer Studies (4 papers), Lung Cancer Treatments and Mutations (3 papers) and RNA modifications and cancer (2 papers). Guo-Ping Shen collaborates with scholars based in China, Hong Kong and United States. Guo-Ping Shen's co-authors include Wei-Hua Jia, Wen-Qiong Xue, Yi-Xin Zeng, Jing He, Jinhong Zhu, Li-Zhen Chen, Wei Chen, Xiaoyu Liao, Jun Tang and Yi‐Xin Zeng and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Cancer.

In The Last Decade

Guo-Ping Shen

11 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo-Ping Shen China 10 179 102 85 79 62 11 390
Danielle MacNeil Canada 13 146 0.8× 112 1.1× 94 1.1× 67 0.8× 78 1.3× 34 357
Amit Kumar Adhya India 12 195 1.1× 105 1.0× 32 0.4× 69 0.9× 102 1.6× 66 424
Kwan Chee Allen Chan Hong Kong 7 177 1.0× 203 2.0× 157 1.8× 169 2.1× 73 1.2× 8 545
Sheila Coelho Soares‐Lima Brazil 16 398 2.2× 129 1.3× 48 0.6× 155 2.0× 95 1.5× 48 584
Connie W. C. Hui Hong Kong 11 157 0.9× 129 1.3× 38 0.4× 63 0.8× 54 0.9× 21 389
Jugao Fang China 12 201 1.1× 94 0.9× 71 0.8× 105 1.3× 106 1.7× 57 412
Fazlur Rahman Talukdar France 11 255 1.4× 63 0.6× 43 0.5× 88 1.1× 81 1.3× 18 360
Qi-Hong Huang China 8 100 0.6× 276 2.7× 222 2.6× 121 1.5× 113 1.8× 9 498
L F Sheu Taiwan 10 154 0.9× 170 1.7× 25 0.3× 57 0.7× 67 1.1× 13 353

Countries citing papers authored by Guo-Ping Shen

Since Specialization
Citations

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

Fields of papers citing papers by Guo-Ping Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-Ping Shen. 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 Guo-Ping Shen. The network helps show where Guo-Ping Shen may publish in the future.

Co-authorship network of co-authors of Guo-Ping Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Guo-Ping Shen. A scholar is included among the top collaborators of Guo-Ping Shen 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 Guo-Ping Shen. Guo-Ping Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Peng, Fang, Qiang Li, Guo-Ping Shen, et al.. (2019). ZWINT is the next potential target for lung cancer therapy. Journal of Cancer Research and Clinical Oncology. 145(3). 661–673. 25 indexed citations
3.
Hua, Rui‐Xi, Zhenjian Zhuo, Jinhong Zhu, et al.. (2016). Association between genetic variants in the XPG gene and gastric cancer risk in a Southern Chinese population. Aging. 8(12). 3311–3320. 28 indexed citations
4.
You, Rui, Xiong Zou, Rou Jiang, et al.. (2015). New surgical staging system for patients with recurrent nasopharyngeal carcinoma based on the AJCC/UICC rTNM classification system. European Journal of Cancer. 51(13). 1771–1779. 34 indexed citations
5.
He, Yong-Qiao, et al.. (2015). Household inhalants exposure and nasopharyngeal carcinoma risk: a large-scale case-control study in Guangdong, China. BMC Cancer. 15(1). 1022–1022. 34 indexed citations
6.
He, Jing, Xiaoyu Liao, Jinhong Zhu, et al.. (2014). Association of MTHFR C677T and A1298C polymorphisms with non-Hodgkin lymphoma susceptibility: Evidence from a meta-analysis. Scientific Reports. 4(1). 6159–6159. 80 indexed citations
7.
Shen, Guo-Ping, et al.. (2012). Pretreatment Lifestyle Behaviors as Survival Predictors for Patients with Nasopharyngeal Carcinoma. PLoS ONE. 7(5). e36515–e36515. 39 indexed citations
8.
Tang, Jun, Rong Deng, Rong-Zhen Luo, et al.. (2012). Low expression of ULK1 is associated with operable breast cancer progression and is an adverse prognostic marker of survival for patients. Breast Cancer Research and Treatment. 134(2). 549–560. 57 indexed citations
9.
Liang, Yi, Qiong Chen, Yun-Miao Guo, et al.. (2011). Correlation of Skp2 overexpression to prognosis of patients with nasopharyngeal carcinoma from South China. Chinese Journal of Cancer. 30(3). 204–212. 27 indexed citations
10.
Zhou, Xin‐Xi, Wei-Hua Jia, Guo-Ping Shen, et al.. (2006). Sequence Variants in Toll-Like Receptor 10 Are Associated with Nasopharyngeal Carcinoma Risk. Cancer Epidemiology Biomarkers & Prevention. 15(5). 862–866. 49 indexed citations
11.
Feng, Bing, Hai-De Qin, Guo-Ping Shen, et al.. (2004). Genetic polymorphisms of CYP2A13 and its relationship to nasopharyngeal carcinoma in the Cantonese population. Journal of Translational Medicine. 2(1). 24–24. 12 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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