Hongping Yu

1.4k total citations
58 papers, 990 citations indexed

About

Hongping Yu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hongping Yu has authored 58 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Hongping Yu's work include RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (11 papers) and MicroRNA in disease regulation (7 papers). Hongping Yu is often cited by papers focused on RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (11 papers) and MicroRNA in disease regulation (7 papers). Hongping Yu collaborates with scholars based in China, United States and Portugal. Hongping Yu's co-authors include Qingyi Wei, Zhensheng Liu, Guojun Li, Jing He, Mengyun Wang, Xiaoyun Zeng, Ting‐Yan Shi, Jin Li, Hongxia Ma and Lie Wang and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Research.

In The Last Decade

Hongping Yu

57 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongping Yu China 18 629 325 258 114 104 58 990
Julian A. Gingold United States 17 702 1.1× 293 0.9× 244 0.9× 125 1.1× 54 0.5× 60 1.3k
Jianchao Zhang China 16 407 0.6× 171 0.5× 282 1.1× 79 0.7× 84 0.8× 48 983
Masanori Kanemura Japan 18 415 0.7× 193 0.6× 309 1.2× 98 0.9× 82 0.8× 37 920
Torsten Wüestefeld Germany 13 579 0.9× 237 0.7× 246 1.0× 69 0.6× 150 1.4× 26 1.1k
Yasushi Saga Japan 22 670 1.1× 251 0.8× 354 1.4× 117 1.0× 90 0.9× 66 1.4k
Takehiro Hayashi Japan 15 394 0.6× 215 0.7× 333 1.3× 126 1.1× 178 1.7× 44 937
Iris Tischoff Germany 16 422 0.7× 155 0.5× 403 1.6× 164 1.4× 193 1.9× 54 1.1k
Huan-Ming Hsu Taiwan 16 393 0.6× 207 0.6× 172 0.7× 73 0.6× 61 0.6× 32 718
Michela Visani Italy 20 540 0.9× 536 1.6× 339 1.3× 196 1.7× 113 1.1× 56 1.3k
Wenhua Fan China 15 325 0.5× 179 0.6× 196 0.8× 132 1.2× 35 0.3× 45 731

Countries citing papers authored by Hongping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hongping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongping Yu. A scholar is included among the top collaborators of Hongping 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 Hongping Yu. Hongping Yu 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.
Fu, Yu, et al.. (2025). GeoMinLM: A Large Language Model in Geology and Mineral Survey in Yunnan Province. Ore Geology Reviews. 182. 106638–106638. 4 indexed citations
2.
Zhou, Yanfeng, Ziyan Xu, Lijun Xie, et al.. (2025). Fasudil targets the RhoA/ROCK-NLRP3 axis to attenuate aristolochic acid-induced renal pyroptosis: translational validation by in vivo molecular imaging. International Immunopharmacology. 168(Pt 2). 115888–115888.
3.
Jiang, Yanji, Wen‐Feng Gong, Yingchun Liu, et al.. (2024). Serum CHI3L1 Levels Predict Overall Survival of Hepatocellular Carcinoma Patients after Hepatectomy. Journal of Cancer. 15(19). 6315–6325. 3 indexed citations
4.
Wei, Junjie, Yingchun Liu, Zihan Zhou, et al.. (2024). Associations between genetic variants in sphingolipid metabolism pathway genes and hepatitis B virus-related hepatocellular carcinoma survival. Frontiers in Oncology. 13. 1252158–1252158. 2 indexed citations
5.
Chen, Bowen, Yingchun Liu, Zihan Zhou, et al.. (2024). Genetic variants in m5C modification genes are associated with survival of patients with HBV-related hepatocellular carcinoma. Archives of Toxicology. 98(4). 1125–1134. 3 indexed citations
6.
7.
Wei, Junjie, Peiqin Chen, Xiaoxia Wei, et al.. (2023). Potentially functional genetic variants in ferroptosis‐related CREB3 and GALNT14 genes predict survival of hepatitis B virus‐related hepatocellular carcinoma. Cancer Medicine. 13(1). e6848–e6848. 7 indexed citations
8.
Zhou, Zihan, Yuying Wei, Xiaoxia Wei, et al.. (2023). Potentially Functional Genetic Variants in the NRF2 Signaling Pathway Genes are Associated With HBV-related Hepatocellular Carcinoma Survival. Journal of Cancer. 14(18). 3387–3396. 2 indexed citations
9.
Liu, Yingchun, Zihan Zhou, Xiumei Liang, et al.. (2022). Potentially functional variants of MAP3K14 in the NF-κB signaling pathway genes predict survival of HBV-related hepatocellular carcinoma patients. Frontiers in Oncology. 12. 990160–990160. 16 indexed citations
10.
Zhou, Zihan, Yunxiang Zhou, Peiqin Chen, et al.. (2022). A novel risk score based on immune-related genes for hepatocellular carcinoma as a reliable prognostic biomarker and correlated with immune infiltration. Frontiers in Immunology. 13. 1023349–1023349. 12 indexed citations
11.
Qi, Lu‐Nan, Yingchun Liu, Xianguo Zhou, et al.. (2021). Effect of surgical margin on postoperative prognosis in patients with solitary hepatocellular carcinoma: A propensity score matching analysis. Journal of Cancer. 12(15). 4455–4462. 12 indexed citations
12.
13.
Abdullah, Abu S., Zhenyu Ma, Hua Fu, et al.. (2017). Building capacity for information and communication technology use in global health research and training in China: a qualitative study among Chinese health sciences faculty members. Health Research Policy and Systems. 15(1). 59–59. 13 indexed citations
14.
Tang, Bo, Guangying Qi, Fang Tang, et al.. (2016). Aberrant JMJD3 Expression Upregulates Slug to Promote Migration, Invasion, and Stem Cell–Like Behaviors in Hepatocellular Carcinoma. Cancer Research. 76(22). 6520–6532. 71 indexed citations
15.
Chu, Shuyuan, et al.. (2016). In Utero Exposure to Aspirin and Risk of Asthma in Childhood. Epidemiology. 27(5). 726–731. 12 indexed citations
16.
Tan, Chao, Shun Liu, Shengkui Tan, et al.. (2015). Polymorphisms in MicroRNA Target Sites of Forkhead Box O Genes Are Associated with Hepatocellular Carcinoma. PLoS ONE. 10(3). e0119210–e0119210. 27 indexed citations
17.
Zhu, Mei-Ling, Hongping Yu, Ting‐Yan Shi, et al.. (2013). Polymorphisms in mTORC1 Genes Modulate Risk of Esophageal Squamous Cell Carcinoma in Eastern Chinese Populations. Journal of Thoracic Oncology. 8(6). 788–795. 31 indexed citations
18.
Guo, Hong-Guang, Hongliang Liu, Yangkai Li, et al.. (2013). Functional single nucleotide polymorphisms of the RASSF3 gene and susceptibility to squamous cell carcinoma of the head and neck. European Journal of Cancer. 50(3). 582–592. 8 indexed citations
19.
Yu, Hongping, Hongliang Liu, Li‐E Wang, & Qingyi Wei. (2012). A Functional NQO1 609C>T Polymorphism and Risk of Gastrointestinal Cancers: A Meta-Analysis. PLoS ONE. 7(1). e30566–e30566. 22 indexed citations
20.
Li, Longman, Xiaoyun Zeng, Xuejiao Fan, et al.. (2010). [Association of XPC and XPG polymorphisms with the risk of hepatocellular carcinoma].. PubMed. 18(4). 271–5. 10 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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