Kun Lu

8.2k total citations
175 papers, 4.3k citations indexed

About

Kun Lu is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Kun Lu has authored 175 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Molecular Biology, 109 papers in Plant Science and 20 papers in Biochemistry. Recurrent topics in Kun Lu's work include Photosynthetic Processes and Mechanisms (41 papers), Plant Molecular Biology Research (41 papers) and Plant Gene Expression Analysis (34 papers). Kun Lu is often cited by papers focused on Photosynthetic Processes and Mechanisms (41 papers), Plant Molecular Biology Research (41 papers) and Plant Gene Expression Analysis (34 papers). Kun Lu collaborates with scholars based in China, United States and Canada. Kun Lu's co-authors include Jiana Li, Cunmin Qu, Michael F. Summers, Xiao Heng, Liezhao Liu, Xinfu Xu, Hongju Jian, Lijuan Wei, Hai Du and Ying Liang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kun Lu

163 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Lu China 37 2.8k 2.4k 462 407 360 175 4.3k
Dominique Thomas France 46 5.3k 1.9× 1.1k 0.4× 359 0.8× 436 1.1× 443 1.2× 74 7.0k
Dao‐Xiu Zhou France 55 5.8k 2.1× 7.4k 3.1× 684 1.5× 141 0.3× 41 0.1× 134 9.2k
Philippe Raymond France 43 2.0k 0.7× 3.0k 1.2× 362 0.8× 193 0.5× 21 0.1× 102 4.8k
Junji Yamaguchi Japan 41 2.6k 0.9× 4.4k 1.8× 362 0.8× 201 0.5× 24 0.1× 164 6.1k
Simone Ottonello Italy 33 2.2k 0.8× 824 0.3× 274 0.6× 52 0.1× 33 0.1× 109 3.5k
Emmanuel Courcelle France 6 2.0k 0.7× 696 0.3× 432 0.9× 159 0.4× 46 0.1× 7 3.3k
Margaret G. Redinbaugh United States 37 1.5k 0.5× 4.0k 1.7× 401 0.9× 68 0.2× 17 0.0× 114 5.1k
Emile Schiltz Germany 32 1.8k 0.6× 222 0.1× 424 0.9× 182 0.4× 31 0.1× 66 2.7k
W. Mark Toone United Kingdom 18 2.4k 0.9× 551 0.2× 197 0.4× 38 0.1× 62 0.2× 21 2.8k
Daniel H. González Argentina 37 3.1k 1.1× 3.0k 1.2× 126 0.3× 245 0.6× 11 0.0× 127 4.3k

Countries citing papers authored by Kun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Lu. A scholar is included among the top collaborators of Kun 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 Kun Lu. Kun 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.
Ouyang, Tao, Ruimin Qiao, Liezhao Liu, et al.. (2025). Pangenome analysis of transposable element insertion polymorphisms reveals features underlying cold tolerance in rice. Nature Communications. 16(1). 7634–7634. 1 indexed citations
2.
Jiang, Huanhuan, Qing Cao, Yali Li, et al.. (2024). The glutathione S-transferase BnGSTU12 enhances the resistance of Brassica napus to Sclerotinia sclerotiorum through reactive oxygen species homeostasis and jasmonic acid signaling. Plant Physiology and Biochemistry. 219. 109446–109446. 2 indexed citations
3.
Khan, Shahid Ullah, Shengting Li, Yonghai Fan, et al.. (2024). Unveiling CRISPR/Cas in rapeseed: Triumphs, trials, and tomorrow. 2. 100045–100045. 4 indexed citations
5.
Khan, Shahid Ullah, et al.. (2024). Harnessing nanobiotechnology for drought stress: transforming agriculture's future; what, why and how?. Environmental Science Nano. 11(7). 2861–2884. 6 indexed citations
7.
Khan, Shahid Ullah, Sumbul Saeed, Amnah Mohammed Alsuhaibani, et al.. (2023). Advances and Challenges for GWAS Analysis in Cardiac Diseases: A Focus on Coronary Artery Disease (CAD). Current Problems in Cardiology. 48(9). 101821–101821. 11 indexed citations
8.
Fan, Yonghai, Xiaodong Li, Shijie Yu, et al.. (2023). LESION MIMIC MUTANT 1 confers basal resistance to Sclerotinia sclerotiorum in rapeseed via a salicylic acid-dependent pathway. Journal of Experimental Botany. 74(18). 5620–5634. 9 indexed citations
9.
Zhang, Jinghan, Kun Lu, Lin Zhu, et al.. (2023). Inhibition of quorum sensing serves as an effective strategy to mitigate the risks of human bacterial pathogens in soil. Journal of Hazardous Materials. 465. 133272–133272. 13 indexed citations
10.
Bertram, Hendrik, et al.. (2021). In Silico Identification of the Complex Interplay between Regulatory SNPs, Transcription Factors, and Their Related Genes in Brassica napus L. Using Multi-Omics Data. International Journal of Molecular Sciences. 22(2). 789–789. 12 indexed citations
11.
Rajavel, Abirami, et al.. (2021). Unravelling the Complex Interplay of Transcription Factors Orchestrating Seed Oil Content in Brassica napus L.. International Journal of Molecular Sciences. 22(3). 1033–1033. 12 indexed citations
12.
Li, Yangyang, Linxue Zhang, Sheng Hu, et al.. (2021). Transcriptome and proteome analyses of the molecular mechanisms underlying changes in oil storage under drought stress in Brassica napus L.. GCB Bioenergy. 13(7). 1071–1086. 21 indexed citations
13.
Fan, Yonghai, Siyu Wei, Yue Niu, et al.. (2020). Comprehensive analysis of polygalacturonase genes offers new insights into their origin and functional evolution in land plants. Genomics. 113(1). 1096–1108. 14 indexed citations
14.
Wei, Dayong, Yixin Cui, Jiaqin Mei, et al.. (2018). Genome‐wide identification of loci affecting seed glucosinolate contents in Brassica napus L.. Journal of Integrative Plant Biology. 61(5). 611–623. 18 indexed citations
15.
Li, Jiana, Kun Lu, Hongju Jian, et al.. (2018). Research advances on harvest index of Brassica napus L.. Zhongguo youliao zuowu xuebao. 40(5). 640. 2 indexed citations
16.
Zhang, Rui, et al.. (2017). Genome-wide association study of root length and hypocotyl length at germination stage under saline conditions in Brassica napus.. Zhongguo nongye Kexue. 50(1). 15–27. 6 indexed citations
17.
Keane, Sarah C., Xiao Heng, Kun Lu, et al.. (2015). Structure of the HIV-1 RNA packaging signal. Science. 348(6237). 917–921. 208 indexed citations
18.
Zhu, Qinlong, Shunzhao Sui, Zhongfang Yang, et al.. (2015). Ectopic Expression of the Coleus R2R3 MYB-Type Proanthocyanidin Regulator Gene SsMYB3 Alters the Flower Color in Transgenic Tobacco. PLoS ONE. 10(10). e0139392–e0139392. 28 indexed citations
19.
Lu, Junxing, Kun Lu, Bin Zhu, et al.. (2013). Cloning, Evolution and Expression Features of MAPK1 Gene Family from Brassica Species (B. napus, B. oleracea, B. rapa). Zhongguo nongye Kexue. 2 indexed citations
20.
Zhu, Bin, Qian Peng, Shuwen Wang, et al.. (2013). Cloning and Analysis of MAPK7 Gene Family and Their Promoters from Brassica napus. ACTA AGRONOMICA SINICA. 39(5). 789–805. 1 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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