Qing Lu

3.1k total citations · 1 hit paper
64 papers, 2.3k citations indexed

About

Qing Lu is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Qing Lu has authored 64 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 22 papers in Plant Science and 10 papers in Organic Chemistry. Recurrent topics in Qing Lu's work include Plant Molecular Biology Research (19 papers), Plant Stress Responses and Tolerance (11 papers) and Plant Reproductive Biology (8 papers). Qing Lu is often cited by papers focused on Plant Molecular Biology Research (19 papers), Plant Stress Responses and Tolerance (11 papers) and Plant Reproductive Biology (8 papers). Qing Lu collaborates with scholars based in China, Canada and Belgium. Qing Lu's co-authors include Yuhai Cui, Xiaoqiang Yu, Zhiqiang Liu, Guangle Niu, Xuncheng Liu, Keqiang Wu, Ming Luo, Edward W. T. Tsang, Vi Nguyen and Xurong Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Qing Lu

59 papers receiving 2.3k citations

Hit Papers

Simultaneous Two-Color Visualization of Lipid Droplets an... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Lu China 25 1.4k 1.3k 301 270 247 64 2.3k
Jun‐yong Choe United States 25 1.1k 0.7× 257 0.2× 256 0.9× 127 0.5× 47 0.2× 52 1.6k
Marie‐Lise Maddelein France 26 1.6k 1.1× 376 0.3× 168 0.6× 82 0.3× 141 0.6× 36 2.4k
Yuhei Morita Japan 27 1.1k 0.8× 949 0.8× 264 0.9× 107 0.4× 91 0.4× 163 2.4k
Zhao‐Min Lin China 24 562 0.4× 145 0.1× 218 0.7× 418 1.5× 480 1.9× 90 1.5k
Gloria L. Silva Argentina 19 821 0.6× 173 0.1× 228 0.8× 86 0.3× 108 0.4× 29 1.4k
Yasuko Okamoto Japan 22 872 0.6× 317 0.3× 96 0.3× 92 0.3× 112 0.5× 107 1.5k
Christophe Cullin France 31 3.0k 2.1× 313 0.3× 127 0.4× 114 0.4× 63 0.3× 78 3.7k
Toshimi Mizukoshi Japan 24 1.1k 0.7× 170 0.1× 117 0.4× 164 0.6× 223 0.9× 60 1.5k
Yuuta Fujikawa Japan 11 553 0.4× 176 0.1× 138 0.5× 124 0.5× 138 0.6× 22 808
Anna I. Sulatskaya Russia 20 848 0.6× 90 0.1× 238 0.8× 85 0.3× 195 0.8× 62 1.5k

Countries citing papers authored by Qing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lu. A scholar is included among the top collaborators of Qing 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 Qing Lu. Qing 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.
Li, Juan, Zhendong Liu, Shuju Zhao, et al.. (2025). Polar‐localized EXO70G1 regulates root development in Arabidopsis thaliana. Journal of Integrative Plant Biology. 68(1). 96–112.
2.
Li, Shuo, Ying Wang, Yuxiang Pan, et al.. (2025). The GmPRL1bGmST2GmAOC3 /4 Module Confers Salt Tolerance and Botrytis cinerea Resistance by Inducing Jasmonic Acid Biosynthesis in Soybean. Plant Biotechnology Journal. 23(12). 5965–5983.
3.
Zhang, Wenxiao, Qing Lu, Jiaqi Sun, et al.. (2024). GmDFB1, an ARM‐repeat superfamily protein, regulates floral organ identity through repressing siRNA‐ and miRNA‐mediated gene silencing in soybean. Journal of Integrative Plant Biology. 66(8). 1620–1638. 2 indexed citations
4.
Zhang, Ruoyao, Chen Zhang, Qing Lu, et al.. (2024). Cancer-cell-specific Self-Reporting Photosensitizer for Precise Identification and Ablation of Cancer Cells. Analytical Chemistry. 96(4). 1659–1667. 5 indexed citations
5.
Li, Shuo, Qing Lu, Xuehuan Dai, et al.. (2024). miR394 modulates brassinosteroid signaling to regulate hypocotyl elongation in Arabidopsis. The Plant Journal. 119(2). 645–657.
8.
Sun, Jiaqi, Shiyu Huang, Qing Lu, et al.. (2023). UV-B irradiation-activated E3 ligase GmILPA1 modulates gibberellin catabolism to increase plant height in soybean. Nature Communications. 14(1). 6262–6262. 19 indexed citations
9.
Lu, Qing, Yonghong Zhang, Caterina Giannini, et al.. (2022). Proteome-wide cellular thermal shift assay reveals unexpected cross-talk between brassinosteroid and auxin signaling. Proceedings of the National Academy of Sciences. 119(11). e2118220119–e2118220119. 24 indexed citations
10.
Yuan, Ze‐Chun, et al.. (2022). Deciphering the role of SPL12 and AGL6 from a genetic module that functions in nodulation and root regeneration in Medicago sativa. Plant Molecular Biology. 110(6). 511–529. 8 indexed citations
11.
Lu, Qing, Jiaxin Yu, Lin Tong, et al.. (2022). Metabolomics and serum pharmacochemistry revealed the preventive mechanism of Gushudan in kidney‐yang‐deficiency‐syndrome rats. Biomedical Chromatography. 37(3). 4 indexed citations
12.
Tong, Lin, et al.. (2022). Combined 1H NMR fecal metabolomics and 16S rRNA gene sequencing to reveal the protective effects of Gushudan on kidney-yang-deficiency-syndrome rats via gut-kidney axis. Journal of Pharmaceutical and Biomedical Analysis. 217. 114843–114843. 17 indexed citations
13.
Karagiannis, Jim, et al.. (2020). Characterization of the Role of SPL9 in Drought Stress Tolerance in Medicago sativa. International Journal of Molecular Sciences. 21(17). 6003–6003. 32 indexed citations
14.
Park, Hojeong, Shijie Li, Guangle Niu, et al.. (2020). Diagnosis of fatty liver disease by a multiphoton-active and lipid-droplet-specific AIEgen with nonaromatic rotors. Materials Chemistry Frontiers. 5(4). 1853–1862. 28 indexed citations
15.
Zhang, Ruoyao, Guangle Niu, Qing Lu, et al.. (2020). Cancer cell discrimination and dynamic viability monitoring through wash-free bioimaging using AIEgens. Chemical Science. 11(29). 7676–7684. 61 indexed citations
16.
Wang, Lei, et al.. (2014). Three 1-phenylindolin-2-one derivatives displaying different molecular dipole moments and different crystallographic symmetries. Acta Crystallographica Section C Structural Chemistry. 71(1). 69–74. 1 indexed citations
17.
Tan, Xuefei, Richland Tester, Gregory R. Luedtke, et al.. (2010). Design and synthesis of piperazine-indole p38α MAP kinase inhibitors with improved pharmacokinetic profiles. Bioorganic & Medicinal Chemistry Letters. 20(3). 828–831. 12 indexed citations
18.
Mavunkel, Babu, John Perumattam, Xuefei Tan, et al.. (2009). Piperidine-based heterocyclic oxalyl amides as potent p38α MAP kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 20(3). 1059–1062. 21 indexed citations
19.
Levy, Daniel E., Qing Lu, Zheng Chen, et al.. (2008). Aryl–indolyl maleimides as inhibitors of CaMKIIδ. Part 1: SAR of the aryl region. Bioorganic & Medicinal Chemistry Letters. 18(7). 2390–2394. 14 indexed citations
20.
Levy, Daniel E., Qing Lu, Zheng Chen, et al.. (2008). Aryl-indolyl maleimides as inhibitors of CaMKIIδ. Part 2: SAR of the amine tether. Bioorganic & Medicinal Chemistry Letters. 18(7). 2395–2398. 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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