Hui Zhou

15.1k total citations · 2 hit papers
184 papers, 11.4k citations indexed

About

Hui Zhou is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Hui Zhou has authored 184 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 58 papers in Cancer Research and 20 papers in Plant Science. Recurrent topics in Hui Zhou's work include RNA modifications and cancer (47 papers), Cancer-related molecular mechanisms research (39 papers) and MicroRNA in disease regulation (31 papers). Hui Zhou is often cited by papers focused on RNA modifications and cancer (47 papers), Cancer-related molecular mechanisms research (39 papers) and MicroRNA in disease regulation (31 papers). Hui Zhou collaborates with scholars based in China, Australia and United States. Hui Zhou's co-authors include Liang‐Hu Qu, Shun Liu, Jianhua Yang, Jianhua Yang, Yujie Chen, Peng Shao, Junhao Li, Hui Xu, Ling‐Ling Zheng and Wenju Sun 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

Hui Zhou

172 papers receiving 11.2k citations

Hit Papers

starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and prot... 2010 2026 2015 2020 2013 2010 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Zhou China 44 8.9k 6.8k 682 588 549 184 11.4k
Liang‐Hu Qu China 57 11.8k 1.3× 7.8k 1.1× 2.2k 3.2× 561 1.0× 606 1.1× 198 15.0k
Stacia K. Wyman United States 25 9.6k 1.1× 5.9k 0.9× 891 1.3× 331 0.6× 424 0.8× 37 11.6k
Jin‐Wu Nam South Korea 27 9.0k 1.0× 7.6k 1.1× 450 0.7× 367 0.6× 373 0.7× 58 11.1k
Anders H. Lund Denmark 46 8.5k 1.0× 6.0k 0.9× 305 0.4× 274 0.5× 730 1.3× 106 10.8k
Claus L. Andersen Denmark 46 8.7k 1.0× 4.9k 0.7× 671 1.0× 1.1k 1.9× 2.1k 3.7× 154 13.3k
Jeffrey J. Gorman Australia 40 3.5k 0.4× 2.7k 0.4× 215 0.3× 610 1.0× 490 0.9× 106 7.3k
Rosalind C. Lee United States 10 10.9k 1.2× 9.3k 1.4× 1.4k 2.1× 179 0.3× 287 0.5× 10 13.7k
Richard I. Gregory United States 46 14.2k 1.6× 9.4k 1.4× 613 0.9× 300 0.5× 631 1.1× 80 16.2k
Yunshun Chen Australia 20 5.7k 0.6× 1.8k 0.3× 851 1.2× 626 1.1× 1.2k 2.2× 35 9.3k
Sean M. Grimmond Australia 58 8.1k 0.9× 3.0k 0.4× 453 0.7× 723 1.2× 1.3k 2.3× 178 11.0k

Countries citing papers authored by Hui Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hui Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Zhou. A scholar is included among the top collaborators of Hui Zhou 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 Hui Zhou. Hui Zhou 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
2.
Lv, Xiaoyang, Hui Zhou, Shanhe Wang, et al.. (2024). SP1 and KROX20 Regulate the Proliferation of Dermal Papilla Cells and Target the CUX1 Gene. Animals. 14(3). 429–429. 1 indexed citations
3.
Wang, Jie, et al.. (2024). CircCSPP1 Competitively Binds miR-10a to Regulate BMP7 Expression and Affects the Proliferation of Dermal Papilla Cells. International Journal of Molecular Sciences. 25(21). 11547–11547.
5.
Luo, Yuanming, Huiqing Ge, Huiguo Liu, et al.. (2023). Blood Eosinophils and Clinical Outcomes in Inpatients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Prospective Cohort Study. International Journal of COPD. Volume 18. 169–179. 12 indexed citations
6.
Zhou, Hui, Xiaoyang Lv, Shanhe Wang, et al.. (2023). Effect of CUX1 on the Proliferation of Hu Sheep Dermal Papilla Cells and on the Wnt/β-Catenin Signaling Pathway. Genes. 14(2). 423–423. 6 indexed citations
7.
Zhou, Hui, et al.. (2023). Mycobacterium haemophilum infection with cutaneous involvement: two case reports and an updated literature review. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 21(11). 1291–1305.
8.
Zhou, Hui, Syed Sarfraz Hussain, & Bu‐Jun Shi. (2021). One vector‐based method to verify predicted plant miRNAs, target sequences, and function modes. Biotechnology and Bioengineering. 118(8). 3105–3116. 1 indexed citations
9.
Ma, Liming, et al.. (2018). Applications of RNA Indexes for Precision Oncology in Breast Cancer. Genomics Proteomics & Bioinformatics. 16(2). 108–119. 18 indexed citations
10.
Xie, Shu‐Juan, Junhao Li, Huafeng Chen, et al.. (2018). Inhibition of the JNK/MAPK signaling pathway by myogenesis-associated miRNAs is required for skeletal muscle development. Cell Death and Differentiation. 25(9). 1581–1597. 92 indexed citations
11.
Zhou, Hui, et al.. (2015). Dermoscopy as an ancillary tool for the diagnosis of pityriasis versicolor. Journal of the American Academy of Dermatology. 73(6). e205–e206. 18 indexed citations
12.
Weng, Hengyou, Huilin Huang, Bowen Dong, et al.. (2014). Inhibition of miR-17 and miR-20a by Oridonin Triggers Apoptosis and Reverses Chemoresistance by Derepressing BIM-S. Cancer Research. 74(16). 4409–4419. 68 indexed citations
13.
Huang, Huilin, Hengyou Weng, Chun-Hong Yu, et al.. (2012). Triggering Fbw7-Mediated Proteasomal Degradation of c-Myc by Oridonin Induces Cell Growth Inhibition and Apoptosis. Molecular Cancer Therapeutics. 11(5). 1155–1165. 82 indexed citations
14.
Chen, Shaoyu, Yijun Zhang, Xiuling Wang, et al.. (2012). Extremely Low Genetic Diversity Indicating the Endangered Status of Ranodon sibiricus (Amphibia: Caudata) and Implications for Phylogeography. PLoS ONE. 7(3). e33378–e33378. 23 indexed citations
15.
Qian, Men‐Bao, Peiling Yap, Yichao Yang, et al.. (2012). Efficacy and Safety of Tribendimidine Against Clonorchis sinensis. Clinical Infectious Diseases. 56(7). e76–e82. 42 indexed citations
16.
Huang, Mianbo, Hui Xu, Shu‐Juan Xie, Hui Zhou, & Liang‐Hu Qu. (2011). Insulin-Like Growth Factor-1 Receptor Is Regulated by microRNA-133 during Skeletal Myogenesis. PLoS ONE. 6(12). e29173–e29173. 138 indexed citations
17.
Du, Bin, Liming Ma, Mianbo Huang, et al.. (2010). High glucose down‐regulates miR‐29a to increase collagen IV production in HK‐2 cells. FEBS Letters. 584(4). 811–816. 149 indexed citations
18.
He, Hualiang, Hui Zhou, Zhen‐Dong Xiao, et al.. (2006). Identification of three novel noncoding RNAs from Drosophila melanogaster. Chinese Science Bulletin. 51(22). 2737–2742. 6 indexed citations
19.
Luo, Jun, Hui Zhou, Chongjian Chen, et al.. (2006). Identification and evolutionary implication of four novel box H/ACA snoRNAs from Giardia lamblia. Chinese Science Bulletin. 51(20). 2451–2456. 5 indexed citations
20.
Qu, Liang‐Hu, Anthony K. Henras, Yongjun Lu, et al.. (1999). Seven Novel Methylation Guide Small Nucleolar RNAs Are Processed from a Common Polycistronic Transcript by Rat1p and RNase III in Yeast. Molecular and Cellular Biology. 19(2). 1144–1158. 139 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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