Liang‐Hu Qu

26.4k total citations · 4 hit papers
198 papers, 15.0k citations indexed

About

Liang‐Hu Qu is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Liang‐Hu Qu has authored 198 papers receiving a total of 15.0k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Molecular Biology, 80 papers in Cancer Research and 38 papers in Plant Science. Recurrent topics in Liang‐Hu Qu's work include RNA modifications and cancer (84 papers), Cancer-related molecular mechanisms research (59 papers) and RNA Research and Splicing (45 papers). Liang‐Hu Qu is often cited by papers focused on RNA modifications and cancer (84 papers), Cancer-related molecular mechanisms research (59 papers) and RNA Research and Splicing (45 papers). Liang‐Hu Qu collaborates with scholars based in China, United States and France. Liang‐Hu Qu's co-authors include Hui Zhou, Shun Liu, Jianhua Yang, Yujie Chen, Jianhua Yang, Peng Shao, Ling‐Ling Zheng, Junhao Li, Yu‐Chan Zhang and Jian‐You Liao 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

Liang‐Hu Qu

194 papers receiving 14.8k citations

Hit Papers

starBase v2.0: decoding m... 2010 2026 2015 2020 2013 2010 2014 2013 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
Liang‐Hu Qu China 57 11.8k 7.8k 2.2k 748 606 198 15.0k
Tsung-Cheng Chang United States 17 11.7k 1.0× 7.0k 0.9× 3.0k 1.4× 1.4k 1.8× 904 1.5× 19 16.5k
Hui Zhou China 44 8.9k 0.8× 6.8k 0.9× 682 0.3× 353 0.5× 549 0.9× 184 11.4k
Stacia K. Wyman United States 25 9.6k 0.8× 5.9k 0.8× 891 0.4× 1.2k 1.6× 424 0.7× 37 11.6k
Yong Chen China 54 7.5k 0.6× 2.8k 0.4× 1.2k 0.5× 859 1.1× 540 0.9× 350 11.5k
Michael A. Kertesz Switzerland 47 7.9k 0.7× 4.5k 0.6× 1.8k 0.8× 810 1.1× 263 0.4× 108 12.0k
Yong Zhao China 47 7.2k 0.6× 2.7k 0.3× 863 0.4× 594 0.8× 556 0.9× 198 9.7k
Baohong Zhang United States 61 9.4k 0.8× 3.7k 0.5× 7.8k 3.5× 631 0.8× 430 0.7× 278 16.2k
Claus L. Andersen Denmark 46 8.7k 0.7× 4.9k 0.6× 671 0.3× 1.1k 1.4× 2.1k 3.4× 154 13.3k
Chao Li China 53 6.5k 0.6× 2.9k 0.4× 2.8k 1.3× 1.3k 1.8× 720 1.2× 546 13.9k
Matthew D. Young United States 26 4.6k 0.4× 1.3k 0.2× 2.1k 0.9× 918 1.2× 625 1.0× 57 8.8k

Countries citing papers authored by Liang‐Hu Qu

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐Hu Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang‐Hu Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang‐Hu Qu. A scholar is included among the top collaborators of Liang‐Hu Qu 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 Liang‐Hu Qu. Liang‐Hu Qu 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.
Ma, Chunmin, Fushun Zhang, Xin‐Huai Zhao, et al.. (2025). Genistein improves depression-like behavior in rats by regulating intestinal flora and altering glutamate gene expression. Current Research in Food Science. 10. 101020–101020. 2 indexed citations
2.
Ying, Ao, Zhen Zhang, Abdul Hafeez, et al.. (2025). GlycoRNAdb: a database of glycoRNA sequences, structures, abundance, and glycan information across tissues and cell lines. Nucleic Acids Research. 54(D1). D158–D167. 1 indexed citations
3.
Zhang, Yifeng, Qiong Wu, Abdul Hafeez, et al.. (2025). ENSURE: the encyclopedia of suppressor tRNA with an AI assistant. Nucleic Acids Research. 54(D1). D111–D119. 1 indexed citations
4.
Huang, Ziliang, Yifeng Zhang, Qiao-Juan Huang, et al.. (2024). GateView: A Multi-Omics Platform for Gene Feature Analysis of Virus Receptors within Human Normal Tissues and Tumors. Biomolecules. 14(5). 516–516. 2 indexed citations
5.
Chen, Zhirong, et al.. (2023). RetroSeeker reveals the characteristics, expression, and evolution of a large set of novel retrotransposons. PubMed. 1(4). 5–5. 1 indexed citations
6.
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
7.
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
8.
Gao, Xiaoxia, et al.. (2013). Molecular identification of endophytic fungi from Aquilaria sinensis and artificial agarwood induced by pinholes-infusion technique. AFRICAN JOURNAL OF BIOTECHNOLOGY. 12(21). 3115–3131. 32 indexed citations
9.
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
10.
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
11.
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
12.
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
13.
Zhang, Peng, Yujie Chen, Hui Zhou, et al.. (2006). Phylogeny, evolution, and biogeography of Asiatic Salamanders (Hynobiidae). Proceedings of the National Academy of Sciences. 103(19). 7360–7365. 137 indexed citations
14.
Huang, Li‐Nan, et al.. (2004). Characterization of Archaeal Diversity in the Leachate of a Traditional Landfill by Determining Restriction Fragment Length Polymorphisms of 16S rRNA Genes. 43(1). 87–91. 1 indexed citations
15.
Qu, Liang‐Hu, et al.. (1999). Key to molecular taxonomy--Principles and methods. 38(1). 1–6. 6 indexed citations
16.
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
17.
Li, Tai–Hui, et al.. (1999). Partial 25S rDNA sequence of Cantharellus and its phylogenetic implications. 18(1). 12–19. 1 indexed citations
18.
Lu, Yongjun, et al.. (1998). Identification of a novel antisense small nucleolar RNA from yeast. 37(2). 56–60. 1 indexed citations
19.
Zhong, L., et al.. (1998). Identification and Functional Analysis of D1 snoRNA and Its Gene from Rice. Journal of Integrative Plant Biology. 40(4). 1 indexed citations
20.
Bachellerie, Jean‐Pierre & Liang‐Hu Qu. (1993). [25] Direct ribosomal RNA sequencing for phllogenetic studies. Methods in enzymology on CD-ROM/Methods in enzymology. 224. 349–357. 9 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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