Lianghuan Qu

1.3k total citations
21 papers, 883 citations indexed

About

Lianghuan Qu is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Lianghuan Qu has authored 21 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 16 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Lianghuan Qu's work include Plant Molecular Biology Research (9 papers), Plant Reproductive Biology (8 papers) and Photosynthetic Processes and Mechanisms (5 papers). Lianghuan Qu is often cited by papers focused on Plant Molecular Biology Research (9 papers), Plant Reproductive Biology (8 papers) and Photosynthetic Processes and Mechanisms (5 papers). Lianghuan Qu collaborates with scholars based in China, Germany and Bulgaria. Lianghuan Qu's co-authors include Meng‐Xiang Sun, Chenkun Yang, Xianqing Liu, Shouchuang Wang, Jie Luo, Wei Chen, Fangzhu Mei, Zhuqing Zhou, Qiutao Xu and H. P. Xin and has published in prestigious journals such as Cell, Nature Communications and PLoS ONE.

In The Last Decade

Lianghuan Qu

21 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianghuan Qu China 16 662 482 107 43 35 21 883
Yongjun Fang China 16 398 0.6× 474 1.0× 62 0.6× 35 0.8× 55 1.6× 42 702
Yanhao Xu China 18 841 1.3× 367 0.8× 202 1.9× 26 0.6× 28 0.8× 59 1.1k
Hua Qin China 19 1.2k 1.8× 481 1.0× 92 0.9× 20 0.5× 20 0.6× 31 1.4k
Sijie He China 16 1.5k 2.3× 612 1.3× 157 1.5× 13 0.3× 27 0.8× 39 1.7k
Qingjie Guan China 15 760 1.1× 432 0.9× 88 0.8× 18 0.4× 15 0.4× 44 881
Xiaoduo Lu China 20 921 1.4× 503 1.0× 250 2.3× 21 0.5× 13 0.4× 41 1.1k
Changhong Guo China 17 845 1.3× 463 1.0× 33 0.3× 17 0.4× 20 0.6× 45 1.0k
Weihua Qiao China 15 602 0.9× 324 0.7× 226 2.1× 9 0.2× 24 0.7× 41 833
Zhaoe Pan China 20 991 1.5× 344 0.7× 78 0.7× 12 0.3× 23 0.7× 70 1.1k

Countries citing papers authored by Lianghuan Qu

Since Specialization
Citations

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

Fields of papers citing papers by Lianghuan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianghuan Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Lianghuan Qu. A scholar is included among the top collaborators of Lianghuan 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 Lianghuan Qu. Lianghuan 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.
Li, Wei, Ke Yang, Chaofan Hu, et al.. (2025). A natural gene on-off system confers field thermotolerance for grain quality and yield in rice. Cell. 188(14). 3661–3678.e21. 9 indexed citations
2.
Yang, Chenkun, Hao Guo, Yufei Li, et al.. (2024). Dissecting the genetic basis of UV-B responsive metabolites in rice. Genome biology. 25(1). 234–234. 15 indexed citations
3.
Zhang, Feng, Jiacheng Huang, Hao Guo, et al.. (2022). OsRLCK160 contributes to flavonoid accumulation and UV-B tolerance by regulating OsbZIP48 in rice. Science China Life Sciences. 65(7). 1380–1394. 46 indexed citations
4.
Yang, Chenkun, Shuangqian Shen, Shen Zhou, et al.. (2021). Rice metabolic regulatory network spanning the entire life cycle. Molecular Plant. 15(2). 258–275. 109 indexed citations
5.
Guo, Hao, Jiacheng Huang, Chenkun Yang, et al.. (2020). A UV-B-responsive glycosyltransferase, OsUGT706C2, modulates flavonoid metabolism in rice. Science China Life Sciences. 63(7). 1037–1052. 46 indexed citations
6.
Jin, Cheng, Yangyang Sun, Yuheng Shi, et al.. (2019). Branched-chain amino acids regulate plant growth by affecting the homeostasis of mineral elements in rice. Science China Life Sciences. 62(8). 1107–1110. 22 indexed citations
7.
Qu, Lianghuan, Xuemei Zhou, Xinbo Li, et al.. (2017). The autonomous cell fate specification of basal cell lineage: the initial round of cell fate specification occurs at the two‐celled proembryo stage. The Plant Journal. 91(6). 1051–1063. 9 indexed citations
8.
Chen, Wei, Wensheng Wang, Peng Meng, et al.. (2016). Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals. Nature Communications. 7(1). 12767–12767. 211 indexed citations
9.
Zhang, Fei, Pan Zhang, Yu Zhang, et al.. (2016). Identification of a peroxisomal-targeted aldolase involved in chlorophyll biosynthesis and sugar metabolism in rice. Plant Science. 250. 205–215. 17 indexed citations
10.
Qu, Lianghuan, Chunyan Wu, Fei Zhang, et al.. (2016). Rice putative methyltransferase gene OsTSD2 is required for root development involving pectin modification. Journal of Experimental Botany. 67(18). 5349–5362. 18 indexed citations
11.
Yu, Min, Nan Zhang, Zhuqing Zhou, et al.. (2015). Reactive oxygen species regulate programmed cell death progress of endosperm in winter wheat (Triticum aestivum L.) under waterlogging. PROTOPLASMA. 253(2). 311–327. 57 indexed citations
12.
Xu, Qiutao, et al.. (2013). Process of aerenchyma formation and reactive oxygen species induced by waterlogging in wheat seminal roots. Planta. 238(5). 969–982. 82 indexed citations
13.
Ma, Ligang, H. P. Xin, Lianghuan Qu, et al.. (2011). Transcription Profile Analysis Reveals That Zygotic Division Results in Uneven Distribution of Specific Transcripts in Apical/Basal Cells of Tobacco. PLoS ONE. 6(1). e15971–e15971. 23 indexed citations
14.
Luo, An, H. P. Xin, Jing Zhao, et al.. (2011). Genes of Both Parental Origins Are Differentially Involved in Early Embryogenesis of a Tobacco Interspecies Hybrid. PLoS ONE. 6(8). e23153–e23153. 7 indexed citations
16.
Qu, Lianghuan & Meng‐Xiang Sun. (2008). The nucleus as a chief cellular organizer and active defender in response to mechanical stimulation. Plant Signaling & Behavior. 3(9). 678–680. 4 indexed citations
17.
Qu, Lianghuan & Meng‐Xiang Sun. (2008). Cytoplasmic compartmental response to local mechanical stimulation of internal tissue cells. PROTOPLASMA. 233(1-2). 51–59. 3 indexed citations
18.
Qu, Lianghuan & Meng‐Xiang Sun. (2007). The plant cell nucleus is constantly alert and highly sensitive to repetitive local mechanical stimulations. Plant Cell Reports. 26(8). 1187–1193. 16 indexed citations
19.
Ning, Jue, Xiongbo Peng, Lianghuan Qu, et al.. (2006). Differential gene expression in egg cells and zygotes suggests that the transcriptome is restructed before the first zygotic division in tobacco. FEBS Letters. 580(7). 1747–1752. 68 indexed citations
20.
He, Yuchi, Yuqing He, Lianghuan Qu, Meng‐Xiang Sun, & Yang Hong-yuan. (2006). Tobacco zygotic embryogenesis in vitro: the original cell wall of the zygote is essential for maintenance of cell polarity, the apical–basal axis and typical suspensor formation. The Plant Journal. 49(3). 515–527. 46 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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