Hongwei Liang

4.0k total citations
110 papers, 3.2k citations indexed

About

Hongwei Liang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Hongwei Liang has authored 110 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 56 papers in Cancer Research and 23 papers in Genetics. Recurrent topics in Hongwei Liang's work include MicroRNA in disease regulation (48 papers), Cancer-related molecular mechanisms research (25 papers) and RNA modifications and cancer (22 papers). Hongwei Liang is often cited by papers focused on MicroRNA in disease regulation (48 papers), Cancer-related molecular mechanisms research (25 papers) and RNA modifications and cancer (22 papers). Hongwei Liang collaborates with scholars based in China, United States and Czechia. Hongwei Liang's co-authors include Chen‐Yu Zhang, Ke Zen, Xi Chen, Suyang Zhang, Guiwei Zou, Xin Yan, Yanbo Wang, Nan Wang, Chihao Zhao and Yanqing Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hongwei Liang

107 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongwei Liang China 35 2.2k 2.0k 410 257 210 110 3.2k
Hao Huang China 30 2.1k 1.0× 900 0.5× 519 1.3× 256 1.0× 574 2.7× 81 3.1k
Yi Qin China 19 2.9k 1.3× 2.0k 1.0× 206 0.5× 209 0.8× 223 1.1× 42 3.8k
Wuhan Xiao China 29 1.4k 0.6× 676 0.3× 523 1.3× 328 1.3× 230 1.1× 91 2.2k
Hua Jin China 25 2.9k 1.3× 1.7k 0.9× 196 0.5× 276 1.1× 102 0.5× 66 3.9k
Andrew M. Thomson Australia 16 3.0k 1.4× 2.3k 1.2× 239 0.6× 178 0.7× 172 0.8× 26 3.9k
Ângelo Calado Portugal 19 2.7k 1.2× 1.6k 0.8× 423 1.0× 186 0.7× 142 0.7× 24 3.6k
Weiwei Zheng China 24 1.0k 0.5× 743 0.4× 578 1.4× 153 0.6× 80 0.4× 104 1.8k
Pasquale De Luca Italy 27 1.8k 0.8× 434 0.2× 297 0.7× 359 1.4× 347 1.7× 67 2.7k
Bruce A. White United States 22 1.5k 0.7× 960 0.5× 107 0.3× 394 1.5× 200 1.0× 47 2.3k

Countries citing papers authored by Hongwei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Liang. A scholar is included among the top collaborators of Hongwei Liang 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 Hongwei Liang. Hongwei Liang 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.
Liang, Hongwei, et al.. (2025). METTL14 facilitates the process of sexual reversal via m6A RNA methylation in Pelodiscus sinensis. Genomics. 117(3). 111030–111030. 1 indexed citations
3.
He, Zhengquan, Xinmeng Li, Jing Xu, et al.. (2024). Genome-wide identification of bHLH gene family and its response to cadmium stress in Populus × canescens. PeerJ. 12. e17410–e17410. 4 indexed citations
4.
Jiao, Shujie, Yiyin Nie, Yue Zhao, et al.. (2024). Large-scale free-standing Bi2Te3/Si heterostructures developed by a modified solvothermal method for a self-powered and efficient imaging photodetector. Journal of Alloys and Compounds. 1010. 177694–177694. 2 indexed citations
5.
Wen, Hua, Ming Jiang, Juan Tian, et al.. (2023). Dietary Curcumin Supplementation Could Improve Muscle Quality, Antioxidant Enzyme Activities and the Gut Microbiota Structure of Pelodiscus sinensis. Animals. 13(16). 2626–2626. 6 indexed citations
8.
Gu, Yuanyuan, Xiaodan Zhang, Guimin Chen, et al.. (2017). Oncogenic miR-19a and miR-19b co-regulate tumor suppressor MTUS1 to promote cell proliferation and migration in lung cancer. Protein & Cell. 8(6). 455–466. 55 indexed citations
9.
Wang, Yanbo, Hongwei Liang, Qian Fan, et al.. (2017). miR-23a/b promote tumor growth and suppress apoptosis by targeting PDCD4 in gastric cancer. Cell Death and Disease. 8(10). e3059–e3059. 61 indexed citations
10.
Yang, Liuqing, Weijie Zhang, Yanbo Wang, et al.. (2017). Hypoxia-induced miR-214 expression promotes tumour cell proliferation and migration by enhancing the Warburg effect in gastric carcinoma cells. Cancer Letters. 414. 44–56. 51 indexed citations
11.
Wang, Yanbo, Zhenyu Wu, Minghai Wang, et al.. (2016). miR-124-3p functions as a tumor suppressor in breast cancer by targeting CBL. BMC Cancer. 16(1). 826–826. 86 indexed citations
12.
Zhu, Kegan, Lei Liu, Junliang Zhang, et al.. (2016). MiR-29b suppresses the proliferation and migration of osteosarcoma cells by targeting CDK6. Protein & Cell. 7(6). 434–444. 61 indexed citations
13.
Li, Jialu, Cheng Wang, Ting Deng, et al.. (2015). Serum miRNA expression profile as a prognostic biomarker of stage II/III colorectal adenocarcinoma. Scientific Reports. 5(1). 12921–12921. 73 indexed citations
14.
Liang, Hongwei, Suyang Zhang, Zheng Fu, et al.. (2015). Effective detection and quantification of dietetically absorbed plant microRNAs in human plasma. The Journal of Nutritional Biochemistry. 26(5). 505–512. 138 indexed citations
15.
Chen, Xi, Hongwei Liang, Cheng Wang, et al.. (2013). A Combination of Let-7d, Let-7g and Let-7i Serves as a Stable Reference for Normalization of Serum microRNAs. PLoS ONE. 8(11). e79652–e79652. 89 indexed citations
16.
Meng, Yan, et al.. (2013). Development of a loop-mediated isothermal amplification assay for rapid detection of iridovirus in the Chinese giant salamander. Journal of Virological Methods. 194(1-2). 211–216. 17 indexed citations
17.
Chen, Xi, Hongwei Liang, Junfeng Zhang, Ke Zen, & Chen‐Yu Zhang. (2013). microRNAs are ligands of Toll-like receptors. RNA. 19(6). 737–739. 74 indexed citations
18.
Li, Meng, Yao Zheng, Hongwei Liang, et al.. (2013). Molecular cloning and characterization of cat, gpx1 and Cu/Zn-sod genes in pengze crucian carp (Carassius auratus var. Pengze) and antioxidant enzyme modulation induced by hexavalent chromium in juveniles. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 157(3). 310–321. 65 indexed citations
19.
Li, Meng, Lihong Wang, Houpeng Wang, et al.. (2013). Molecular cloning and characterization of amh, dax1 and cyp19a1a genes and their response to 17α-methyltestosterone in Pengze crucian carp. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 157(4). 372–381. 23 indexed citations
20.
Wang, Kehui, Peng Li, Xing Fu Cai, et al.. (2011). A Microarray-based Approach Identifies ADP Ribosylation Factor-like Protein 2 as a Target of microRNA-16. Journal of Biological Chemistry. 286(11). 9468–9476. 24 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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