Huaping Li

1.1k total citations
23 papers, 869 citations indexed

About

Huaping Li is a scholar working on Molecular Biology, Cancer Research and Dermatology. According to data from OpenAlex, Huaping Li has authored 23 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Cancer Research and 3 papers in Dermatology. Recurrent topics in Huaping Li's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers) and Circular RNAs in diseases (7 papers). Huaping Li is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers) and Circular RNAs in diseases (7 papers). Huaping Li collaborates with scholars based in China, United States and Poland. Huaping Li's co-authors include Chen Chen, Dao Wen Wang, Jiahui Fan, Zhongwei Yin, Xiang Nie, Yanru Zhao, Dai B, Xiang‐Dong Fu, Xiaorong Zhang and Feng Wang and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Circulation Research.

In The Last Decade

Huaping Li

22 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huaping Li China	12	611	462	207	63	51	23	869
Cong Wei China	19	381 0.6×	198 0.4×	224 1.1×	44 0.7×	73 1.4×	47	784
Prince Jeyabal United States	16	548 0.9×	160 0.3×	101 0.5×	64 1.0×	76 1.5×	19	817
Justyna Totoń‐Żurańska Poland	15	210 0.3×	117 0.3×	154 0.7×	97 1.5×	42 0.8×	37	537
Yimu Lai United States	15	427 0.7×	97 0.2×	197 1.0×	46 0.7×	106 2.1×	20	746
Xiang Kong China	19	430 0.7×	282 0.6×	106 0.5×	161 2.6×	71 1.4×	32	859
Darya Zibrova Germany	9	677 1.1×	110 0.2×	186 0.9×	188 3.0×	140 2.7×	10	961
Vimal Pandey India	16	409 0.7×	180 0.4×	25 0.1×	76 1.2×	49 1.0×	26	779
Jiayi Zhao China	14	494 0.8×	432 0.9×	85 0.4×	125 2.0×	45 0.9×	28	814
Changwu Xu China	16	344 0.6×	122 0.3×	118 0.6×	70 1.1×	77 1.5×	33	758

Countries citing papers authored by Huaping Li

Since Specialization

Citations

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

Fields of papers citing papers by Huaping Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaping Li

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

All Works

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20 of 20 papers shown

Wu, Haoran, Chang Liu, Huaping Li, et al.. (2025). PepHarmony: a multi-view contrastive learning framework for integrated sequence and structure-based peptide representation. Neural Networks. 194. 108148–108148.

Li, Peng, Huaping Li, Tao Meng, et al.. (2025). metaCDA: A Novel Framework for CircRNA-Driven Drug Discovery Utilizing Adaptive Aggregation and Meta-Knowledge Learning. Journal of Chemical Information and Modeling. 65(4). 2129–2144. 2 indexed citations

Chen, Quan, et al.. (2025). Curcumin targets YAP1 to enhance mitochondrial function and autophagy, protecting against UVB-induced photodamage. Frontiers in Immunology. 16. 1566287–1566287. 3 indexed citations

Yuan, Shuai, Xudong Zhang, Jiabing Zhan, et al.. (2024). Fibroblast-localized lncRNA CFIRL promotes cardiac fibrosis and dysfunction in dilated cardiomyopathy. Science China Life Sciences. 67(6). 1155–1169. 7 indexed citations

Zhang, Xudong, et al.. (2024). Insights into the post-translational modifications in heart failure. Ageing Research Reviews. 100. 102467–102467. 6 indexed citations

Ou, Shanshan, et al.. (2023). Integrated analysis reveals SMARCD1 is a potential biomarker and therapeutic target in skin cutaneous melanoma. Journal of Cancer Research and Clinical Oncology. 149(13). 11619–11634. 1 indexed citations

Li, Huaping, et al.. (2022). Non-coding RNA-Associated Therapeutic Strategies in Atherosclerosis. Frontiers in Cardiovascular Medicine. 9. 889743–889743. 4 indexed citations

Zhang, Xu Dong, Shuai Yuan, Jingbo Liu, et al.. (2022). Overexpression of cytosolic long noncoding RNA cytb protects against pressure-overload-induced heart failure via sponging microRNA-103-3p. Molecular Therapy — Nucleic Acids. 27. 1127–1145. 20 indexed citations

Li, Huaping, Jiabing Zhan, Chen Chen, & Dao Wen Wang. (2022). MicroRNAs in cardiovascular diseases. SHILAP Revista de lepidopterología. 2(2). 140–168. 11 indexed citations

10.

Zhao, Yanru, et al.. (2021). Roles of MicroRNAs in Glucose and Lipid Metabolism in the Heart. Frontiers in Cardiovascular Medicine. 8. 716213–716213. 13 indexed citations

11.

Ren, He, et al.. (2020). Fifteen mRNA-lncRNA expression-based signature predicted the survival of late-staged head and neck squamous cell carcinoma. Bioscience Reports. 40(7). 2 indexed citations

12.

Fan, Jiahui, Xu Dong Zhang, Xiang Nie, et al.. (2019). Nuclear miR-665 aggravates heart failure via suppressing phosphatase and tensin homolog transcription. Science China Life Sciences. 63(5). 724–736. 27 indexed citations

13.

Li, Huaping, Jiahui Fan, Yanru Zhao, et al.. (2019). Nuclear miR-320 Mediates Diabetes-Induced Cardiac Dysfunction by Activating Transcription of Fatty Acid Metabolic Genes to Cause Lipotoxicity in the Heart. Circulation Research. 125(12). 1106–1120. 146 indexed citations

14.

Xu, Xizhen, et al.. (2019). Adenosine 2A Receptor Activation Contributes to Ang II–Induced Aortic Remodeling by Promoting Macrophage Retention. Hypertension. 75(1). 119–130. 9 indexed citations

15.

Nie, Xiang, Jiahui Fan, Huaping Li, et al.. (2018). miR-217 Promotes Cardiac Hypertrophy and Dysfunction by Targeting PTEN. Molecular Therapy — Nucleic Acids. 12. 254–266. 119 indexed citations

16.

Fan, Jiahui, Huaping Li, Xiang Nie, et al.. (2018). MiR-665 aggravates heart failure via suppressing CD34-mediated coronary microvessel angiogenesis. Aging. 10(9). 2459–2479. 40 indexed citations

17.

Li, Huaping, Na Jiang, Bihua Liang, et al.. (2017). Pterostilbene protects against UVB-induced photo-damage through a phosphatidylinositol-3-kinase-dependent Nrf2/ARE pathway in human keratinocytes. Redox Report. 22(6). 501–507. 35 indexed citations

18.

Li, Huaping, Xiaorong Zhang, Feng Wang, et al.. (2016). MicroRNA-21 Lowers Blood Pressure in Spontaneous Hypertensive Rats by Upregulating Mitochondrial Translation. Circulation. 134(10). 734–751. 148 indexed citations

19.

Wang, Feng, Guangwen Long, Chunxia Zhao, et al.. (2013). Plasma microRNA-133a is a new marker for both acute myocardial infarction and underlying coronary artery stenosis. Journal of Translational Medicine. 11(1). 222–222. 114 indexed citations

20.

Ma, Ben, Chen Chen, Huaping Li, et al.. (2013). Cardiac-Specific Overexpression of CYP2J2 Attenuates Diabetic Cardiomyopathy in Male Streptozotocin-Induced Diabetic Mice. Endocrinology. 154(8). 2843–2856. 54 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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