Xuke Lu

2.0k total citations
61 papers, 1.1k citations indexed

About

Xuke Lu is a scholar working on Plant Science, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Xuke Lu has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Plant Science, 33 papers in Molecular Biology and 5 papers in Materials Chemistry. Recurrent topics in Xuke Lu's work include Research in Cotton Cultivation (31 papers), Plant Molecular Biology Research (24 papers) and Plant Stress Responses and Tolerance (19 papers). Xuke Lu is often cited by papers focused on Research in Cotton Cultivation (31 papers), Plant Molecular Biology Research (24 papers) and Plant Stress Responses and Tolerance (19 papers). Xuke Lu collaborates with scholars based in China, United States and Pakistan. Xuke Lu's co-authors include Delong Wang, Wuwei Ye, Junjuan Wang, Xiugui Chen, Lixue Guo, Shuai Wang, Na Shu, Zujun Yin, Weili Fan and Waqar Afzal Malik and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Plant Journal.

In The Last Decade

Xuke Lu

55 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuke Lu China 18 877 541 63 43 31 61 1.1k
Xiugui Chen China 19 874 1.0× 553 1.0× 62 1.0× 45 1.0× 31 1.0× 66 1.1k
Lixue Guo China 16 843 1.0× 476 0.9× 74 1.2× 41 1.0× 31 1.0× 56 998
Wuwei Ye China 21 1.2k 1.3× 723 1.3× 74 1.2× 47 1.1× 31 1.0× 88 1.4k
Junjuan Wang China 22 1.1k 1.2× 602 1.1× 64 1.0× 48 1.1× 24 0.8× 73 1.3k
Xiangqiang Zhan China 18 951 1.1× 635 1.2× 23 0.4× 22 0.5× 26 0.8× 39 1.1k
Shuzhen Zhao China 20 898 1.0× 577 1.1× 21 0.3× 33 0.8× 7 0.2× 52 1.1k
Xiaohong Zhu China 18 1.5k 1.7× 1.0k 1.9× 20 0.3× 43 1.0× 7 0.2× 22 1.8k
Woong June Park South Korea 16 1.3k 1.5× 750 1.4× 15 0.2× 13 0.3× 43 1.4× 26 1.5k
Sandui Guo China 18 1.1k 1.2× 726 1.3× 34 0.5× 6 0.1× 50 1.6× 54 1.4k
Ying‐Gao Liu China 15 831 0.9× 459 0.8× 8 0.1× 27 0.6× 9 0.3× 38 1.1k

Countries citing papers authored by Xuke Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xuke Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuke Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuke Lu. A scholar is included among the top collaborators of Xuke Lu 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 Xuke Lu. Xuke Lu 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.
Lu, Xuke, Kang Zhao, Yapeng Fan, et al.. (2025). GhDMT7‐mediated DNA methylation dynamics enhance starch and sucrose metabolism pathways to confer salt tolerance in cotton. The Plant Journal. 123(2). e70364–e70364.
2.
Yang, Xiaomin, Zhigang Bai, Ning Wang, et al.. (2024). Genome-wide characterization of DNA methyltransferase family genes implies GhDMT6 improving tolerance of salt and drought on cotton. BMC Plant Biology. 24(1). 312–312. 6 indexed citations
3.
Chen, Xiao, Yapeng Fan, Jing Zhang, et al.. (2024). GhGME31D identified to regulate AsA activation in response to alkali stress from GME gene family implications in cotton. Environmental Sciences Europe. 36(1). 1 indexed citations
4.
Zhao, Lanjie, Yupeng Cui, Xuke Lu, et al.. (2023). Analysis of the histidine kinase gene family and the role of GhHK8 in response to drought tolerance in cotton. Physiologia Plantarum. 175(5). e14022–e14022. 3 indexed citations
7.
Xu, Nan, Hong Zhang, Yuexin Zhang, et al.. (2022). Functional structure analysis and genome-wide identification of CNX gene family in cotton. Journal of Cotton Research. 5(1). 2 indexed citations
8.
Rui, Cun, Yapeng Fan, Yuexin Zhang, et al.. (2022). Genome-wide expression analysis of carboxylesterase (CXE) gene family implies GBCXE49 functional responding to alkaline stress in cotton. BMC Plant Biology. 22(1). 194–194. 19 indexed citations
9.
Zhao, Lanjie, Hui Huang, Yuexin Zhang, et al.. (2022). Genome-wide identification, evolution and function analysis of UGTs superfamily in cotton. Frontiers in Molecular Biosciences. 9. 965403–965403. 10 indexed citations
10.
Fan, Yapeng, Cun Rui, Yuexin Zhang, et al.. (2021). Cloning,Expression and Preliminary Bioinformatics Analysis of the Alkaline Tolerant Gene GhZAT12 in Gossypium hirsutum. 37(8). 121. 1 indexed citations
11.
Rui, Cun, Yuexin Zhang, Yapeng Fan, et al.. (2021). Insight Between the Epigenetics and Transcription Responding of Cotton Hypocotyl Cellular Elongation Under Salt-Alkaline Stress. Frontiers in Plant Science. 12. 772123–772123. 2 indexed citations
12.
Zhang, Hong, Yuexin Zhang, Nan Xu, et al.. (2021). Genome-wide expression analysis of phospholipase A1 (PLA1) gene family suggests phospholipase A1-32 gene responding to abiotic stresses in cotton. International Journal of Biological Macromolecules. 192. 1058–1074. 19 indexed citations
13.
Wang, Qinqin, Xuke Lu, Xiugui Chen, et al.. (2021). Genome-wide identification and function analysis of HMAD gene family in cotton (Gossypium spp.). BMC Plant Biology. 21(1). 386–386. 7 indexed citations
14.
Wang, Qinqin, Xuke Lu, Xiugui Chen, et al.. (2021). Transcriptome analysis of upland cotton revealed novel pathways to scavenge reactive oxygen species (ROS) responding to Na2SO4 tolerance. Scientific Reports. 11(1). 8670–8670. 11 indexed citations
15.
Malik, Waqar Afzal, Xiaoge Wang, Xinlei Wang, et al.. (2020). Genome-wide expression analysis suggests glutaredoxin genes response to various stresses in cotton. International Journal of Biological Macromolecules. 153. 470–491. 75 indexed citations
16.
Yang, Xiaomin, Xuke Lu, Xiugui Chen, et al.. (2019). Genome-wide identification and expression analysis of DNA demethylase family in cotton. Journal of Cotton Research. 2(1). 6 indexed citations
17.
Wang, Junjuan, Shuai Wang, Xuke Lu, et al.. (2017). The Effect of Low Temperature Stress on the Growth of Upland Cotton Seedlings and a Preliminary Study of Cold-Resistance Mechanisms. Mianhua xuebao. 29(2). 147–156. 2 indexed citations
18.
Chen, Xiugui, Xuke Lu, Na Shu, et al.. (2017). GhSOS1, a plasma membrane Na+/H+ antiporter gene from upland cotton, enhances salt tolerance in transgenic Arabidopsis thaliana. PLoS ONE. 12(7). e0181450–e0181450. 54 indexed citations
19.
Lu, Xuke, Xiugui Chen, Min Mu, et al.. (2016). Genome-Wide Analysis of Long Noncoding RNAs and Their Responses to Drought Stress in Cotton (Gossypium hirsutum L.). PLoS ONE. 11(6). e0156723–e0156723. 84 indexed citations
20.
Lu, Xuke, Junjuan Wang, Delong Wang, et al.. (2016). Mining and Analysis of SNP in Response to Salinity Stress in Upland Cotton (Gossypium hirsutum L.). PLoS ONE. 11(6). e0158142–e0158142. 13 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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