Yang Hong

1.1k total citations · 1 hit paper
57 papers, 767 citations indexed

About

Yang Hong is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Yang Hong has authored 57 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Epidemiology and 12 papers in Cancer Research. Recurrent topics in Yang Hong's work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (7 papers) and Glioma Diagnosis and Treatment (5 papers). Yang Hong is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (7 papers) and Glioma Diagnosis and Treatment (5 papers). Yang Hong collaborates with scholars based in China, United States and Russia. Yang Hong's co-authors include Chao Shang, Yan Guo, Yixue Xue, Yixue Xue, Yu Shi, Yunhui Liu, Yunhui Liu, Yong Zhang, Wei Tang and Pan Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Yang Hong

54 papers receiving 761 citations

Hit Papers

A multifunctional dihydro... 2025 2026 2025 4 8 12
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A multifunctional dihydromyricetin-loaded hydrogel for the sequential modulation of diabetic wound healing and glycemic control
    2025 14 citations Yang Hong et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yang Hong 405 286 95 71 69 57 767
Meik Kunz 363 0.9× 228 0.8× 94 1.0× 76 1.1× 92 1.3× 58 894
Qingyu Zeng 437 1.1× 214 0.7× 121 1.3× 173 2.4× 94 1.4× 73 982
Qiang Zhu 604 1.5× 174 0.6× 141 1.5× 135 1.9× 137 2.0× 74 1.2k
Min Cheng 673 1.7× 423 1.5× 87 0.9× 65 0.9× 79 1.1× 57 1.1k
Yuejian Liu 381 0.9× 159 0.6× 42 0.4× 85 1.2× 82 1.2× 36 710
Yingying Huang 365 0.9× 220 0.8× 46 0.5× 141 2.0× 153 2.2× 56 738
Fangfang Zhang 726 1.8× 256 0.9× 100 1.1× 79 1.1× 131 1.9× 50 1.1k

Countries citing papers authored by Yang Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yang Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Hong. A scholar is included among the top collaborators of Yang Hong 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 Yang Hong. Yang Hong 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.
Ren, Liwen, Yihui Yang, Li Wan, et al.. (2025). IFI30 promotes tumor-associated macrophage infiltration via activation of the ATF3-CCL5 axis in breast cancer. The Innovation. 6(11). 101005–101005.
2.
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Yu, Tao, Heng Zhao, Xiaomei Lü, et al.. (2024). Evaluation of pancreatic iodine uptake and related influential factors in multiphase dual-energy CT. European Radiology. 34(12). 7609–7621. 1 indexed citations
4.
Chen, Liwen, Hui Zhang, Chao Shang, & Yang Hong. (2024). The Role and Applied Value of Mitochondria in Glioma‐Related Research. CNS Neuroscience & Therapeutics. 30(12). e70121–e70121. 5 indexed citations
5.
Hong, Yang, Yue Zhang, Hui Chen, et al.. (2023). Genetic dissection of the impact of lncRNA AI662270 during the development of atherosclerosis. Journal of Translational Medicine. 21(1). 97–97. 9 indexed citations
6.
Hong, Yang, Yihui Yang, Yizhi Zhang, et al.. (2023). ERCC6L facilitates the onset of mammary neoplasia and promotes the high malignance of breast cancer by accelerating the cell cycle. Journal of Experimental & Clinical Cancer Research. 42(1). 8 indexed citations
7.
Chen, Mengting, Huiqing Yu, Yang Hong, et al.. (2023). Combined early palliative care for non-small-cell lung cancer patients: a randomized controlled trial in Chongqing, China. Frontiers in Oncology. 13. 1184961–1184961. 6 indexed citations
8.
Fan, Yuhua, Yue Zhang, Wenfeng Liu, et al.. (2023). lncR-GAS5 upregulates the splicing factor SRSF10 to impair endothelial autophagy, leading to atherogenesis. Frontiers of Medicine. 17(2). 317–329. 12 indexed citations
9.
Shi, Yu, Yunlong Huo, Pan Chen, et al.. (2022). Use of magnetic resonance elastography to gauge meningioma intratumoral consistency and histotype. NeuroImage Clinical. 36. 103173–103173. 12 indexed citations
10.
Fan, Tao, Chaoqi Wang, Kun Zhang, et al.. (2021). Differentially expressed genes analysis and target genes prediction of miR-22 in breast cancer*. Oncology and Translational Medicine. 7(2). 59–64. 2 indexed citations
11.
Han, Qi, et al.. (2020). Circular RNA circ_0001105 Inhibits Progression and Metastasis of Osteosarcoma by Sponging miR-766 and Activating YTHDF2 Expression. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Shang, Chao, et al.. (2018). Long non-coding RNA TUSC7 inhibits temozolomide resistance by targeting miR-10a in glioblastoma. Cancer Chemotherapy and Pharmacology. 81(4). 671–678. 47 indexed citations
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Yu, Bo, Yang Hong, Liangyu Chen, et al.. (2013). Treatment of intracranial aneurysms with coils by double micro - catheter technique. Zhonghua shenjing waike zazhi. 29(7). 693–697. 1 indexed citations
16.
Hong, Yang. (2012). Comparison of hemodynamics in iliac aortic with thrombosis and normal iliac aortic based on numerical simulation. 2 indexed citations
17.
Yang, Kun, et al.. (2011). The interactions between the truncated fragments of ARM repeat conaining (ARC1) from Brassica oleracea var. acephala L and kinase domain of S-receptor kinase (SRK) from B. oleracea var. capitata L tested by a yeast two-hybrid system.. Journal of Pharmaceutical and Biomedical Sciences. 19(6). 988–995. 2 indexed citations
18.
Yang, Fan, Jianjun Liu, Yang Hong, et al.. (2006). [Surveillance on natural infection of rodents with hantavirus in Shenzhen city and identification of a hantavirus strain SZ2083].. PubMed. 27(11). 981–4. 3 indexed citations
19.
Li, Xueqin, Yang Hong, Yun Wang, Xinhua Zhang, & Huailiang Wang. (2006). SERTRALINE PROTECTS AGAINST MONOCROTALINE‐INDUCED PULMONARY HYPERTENSION IN RATS. Clinical and Experimental Pharmacology and Physiology. 33(11). 1047–1051. 24 indexed citations
20.
Hong, Yang. (2000). Effects of hypoxia on hemodynamics and hemorrheology of pulmonary circulation in the dog. 1 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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