Zhangping Yu

704 total citations
13 papers, 480 citations indexed

About

Zhangping Yu is a scholar working on Oncology, Epidemiology and Physiology. According to data from OpenAlex, Zhangping Yu has authored 13 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Zhangping Yu's work include Autophagy in Disease and Therapy (3 papers), Ferroptosis and cancer prognosis (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Zhangping Yu is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Ferroptosis and cancer prognosis (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Zhangping Yu collaborates with scholars based in China, United States and New Zealand. Zhangping Yu's co-authors include Yong Zhao, Peili Hou, Hongmei Wang, Yuwei Gao, Xingyu Li, Yudong Zhao, Huasong Chang, Xuefeng Wang, Wenqi Wang and Hongbin He and has published in prestigious journals such as Carbohydrate Polymers, International Journal of Environmental Research and Public Health and Autophagy.

In The Last Decade

Zhangping Yu

13 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhangping Yu China 9 131 111 103 83 78 13 480
Aiysha Thompson United Kingdom 14 207 1.6× 192 1.7× 184 1.8× 101 1.2× 143 1.8× 17 695
Xuan Tan China 13 118 0.9× 134 1.2× 95 0.9× 31 0.4× 31 0.4× 23 406
Valentina Rubino Italy 15 120 0.9× 48 0.4× 43 0.4× 36 0.4× 159 2.0× 38 559
Tomoe Ichikawa Japan 15 203 1.5× 135 1.2× 154 1.5× 44 0.5× 25 0.3× 37 721
Fumiko Yamamoto Japan 15 275 2.1× 151 1.4× 212 2.1× 85 1.0× 59 0.8× 49 785
Shiyuan Wen China 14 217 1.7× 75 0.7× 152 1.5× 37 0.4× 75 1.0× 33 535
John Quiroga Chile 11 248 1.9× 69 0.6× 35 0.3× 83 1.0× 133 1.7× 26 592
Shimin Liu China 14 172 1.3× 86 0.8× 25 0.2× 54 0.7× 40 0.5× 54 639
Xingchen Zhou China 7 209 1.6× 66 0.6× 52 0.5× 57 0.7× 75 1.0× 14 365

Countries citing papers authored by Zhangping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhangping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangping Yu

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

All Works

13 of 13 papers shown
1.
Ding, Cheng, et al.. (2023). Collagen type VII α1 chain: A promising prognostic and immune infiltration biomarker of pancreatic cancer. Oncology Letters. 25(2). 77–77. 8 indexed citations
2.
Ling, Yi, et al.. (2023). Generation rate of quantum gravity induced entanglement with multiple massive particles. Physical review. D. 107(6). 6 indexed citations
3.
Hou, Peili, Xuefeng Wang, Hongmei Wang, et al.. (2022). The ORF7a protein of SARS-CoV-2 initiates autophagy and limits autophagosome-lysosome fusion via degradation of SNAP29 to promote virus replication. Autophagy. 19(2). 551–569. 83 indexed citations
4.
Yu, Zhangping, et al.. (2022). The Effect of a Compound Protein on Wound Healing and Nutritional Status. Evidence-based Complementary and Alternative Medicine. 2022. 1–12. 13 indexed citations
5.
Zhou, Shengnan, et al.. (2022). The Relationship between Phase Angle, Nutrition Status, and Complications in Patients with Pancreatic Head Cancer. International Journal of Environmental Research and Public Health. 19(11). 6426–6426. 14 indexed citations
6.
7.
Li, Xingyu, Peili Hou, Wenqing Ma, et al.. (2021). SARS-CoV-2 ORF10 suppresses the antiviral innate immune response by degrading MAVS through mitophagy. Cellular and Molecular Immunology. 19(1). 67–78. 144 indexed citations
8.
Pan, Wei, Hui Lyu, Zhangping Yu, et al.. (2021). Validation of a six-item dietary calcium screening tool among HIV patients in China. Public Health Nutrition. 24(15). 4786–4795. 1 indexed citations
9.
Ding, Cheng, Yatong Li, Xing Cheng, et al.. (2021). Data mining-based study of collagen type III alpha 1 (COL3A1) prognostic value and immune exploration in pan-cancer. Bioengineered. 12(1). 3634–3646. 32 indexed citations
10.
11.
Zhang, Shanshan, Zhangping Yu, Xuanming Zhang, et al.. (2019). Anti-Parkinson's disease activity of phenolic acids fromEucommia ulmoidesOliver leaf extracts and their autophagy activation mechanism. Food & Function. 11(2). 1425–1440. 57 indexed citations
12.
13.
Wu, Mianbin, Feifei Zhang, Zhangping Yu, Jianping Lin, & Lirong Yang. (2015). Chemical characterization and in vitro antitumor activity of a single-component polysaccharide from Taxus chinensis var. mairei. Carbohydrate Polymers. 133. 294–301. 35 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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