Mingqiu Dai

5.6k total citations · 2 hit papers
44 papers, 3.9k citations indexed

About

Mingqiu Dai is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Mingqiu Dai has authored 44 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 24 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Mingqiu Dai's work include Plant Molecular Biology Research (22 papers), Plant Stress Responses and Tolerance (14 papers) and Photosynthetic Processes and Mechanisms (10 papers). Mingqiu Dai is often cited by papers focused on Plant Molecular Biology Research (22 papers), Plant Stress Responses and Tolerance (14 papers) and Photosynthetic Processes and Mechanisms (10 papers). Mingqiu Dai collaborates with scholars based in China, United States and France. Mingqiu Dai's co-authors include Qifa Zhang, Lizhong Xiong, Honghong Hu, Xianghua Li, Benze Xiao, Jialing Yao, Dao‐Xiu Zhou, Yu Zhao, Xiaopeng Sun and Yongfeng Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Mingqiu Dai

42 papers receiving 3.8k citations

Hit Papers

Overexpressing a NAM, ATAF, and CUC (NAC) transcription f... 2006 2026 2012 2019 2006 2024 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingqiu Dai China 28 3.4k 2.2k 296 103 74 44 3.9k
Tiegang Lu China 28 2.6k 0.8× 1.9k 0.9× 319 1.1× 90 0.9× 85 1.1× 69 3.3k
Henry D. Priest United States 19 2.2k 0.6× 2.1k 1.0× 179 0.6× 76 0.7× 64 0.9× 24 3.0k
William Terzaghi United States 38 4.5k 1.3× 3.2k 1.5× 373 1.3× 71 0.7× 137 1.9× 72 5.3k
Shaojun Xie United States 22 2.8k 0.8× 1.8k 0.8× 478 1.6× 116 1.1× 101 1.4× 44 3.4k
Xin‐Jian He China 38 4.4k 1.3× 3.2k 1.5× 157 0.5× 43 0.4× 93 1.3× 91 5.2k
Hengyu Yan China 14 1.7k 0.5× 1.1k 0.5× 292 1.0× 79 0.8× 43 0.6× 27 2.1k
Zhaobo Lang China 23 2.7k 0.8× 1.9k 0.9× 174 0.6× 43 0.4× 56 0.8× 31 3.2k
Caifu Jiang China 28 3.3k 1.0× 1.5k 0.7× 293 1.0× 158 1.5× 20 0.3× 46 3.7k
Gorou Horiguchi Japan 32 4.4k 1.3× 3.9k 1.8× 144 0.5× 71 0.7× 44 0.6× 66 5.1k
Peijian Cao China 24 1.5k 0.4× 998 0.5× 206 0.7× 125 1.2× 83 1.1× 72 2.0k

Countries citing papers authored by Mingqiu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Mingqiu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingqiu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Mingqiu Dai. A scholar is included among the top collaborators of Mingqiu Dai 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 Mingqiu Dai. Mingqiu Dai 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.
Wu, Junhua, Wencai Yang, Bao Zhang, et al.. (2025). Identification and fine-mapping of qNCLB3.04 resistant to Northern Corn Leaf Blight. Molecular Breeding. 45(7). 59–59.
2.
Liu, Haijun, Jie Liu, Mingqiu Dai, et al.. (2025). Maize2035: A decadal vision for intelligent maize breeding. Molecular Plant. 18(2). 313–332. 8 indexed citations
3.
Dai, Mingqiu, et al.. (2025). Dual BLyS/APRIL targeted therapy with telitacicept in rituximab-refractory SLE-associated neuromyelitis optica spectrum disorder: a case report. Frontiers in Immunology. 16. 1602800–1602800. 1 indexed citations
4.
Jia, Haitao, et al.. (2024). Regulatory mechanisms and breeding strategies for crop drought resistance. 1. 100029–100029. 42 indexed citations breakdown →
5.
Wu, Xi, et al.. (2024). Crop root system architecture in drought response. Journal of genetics and genomics. 52(1). 4–13. 28 indexed citations
6.
Zhang, Jie, Haitao Jia, Shilong Zhang, et al.. (2024). Genome-wide identification and analyses of ZmAPY genes reveal their roles involved in maize development and abiotic stress responses. Molecular Breeding. 44(5). 37–37. 2 indexed citations
7.
Guo, Zilong, Shouchuang Wang, Feng Zhang, et al.. (2024). Common and specific genetic basis of metabolite-mediated drought responses in rice. SHILAP Revista de lepidopterología. 4(1). 6–6. 13 indexed citations
8.
Yang, Mu & Mingqiu Dai. (2023). Signpost in the maze: high-quality genome of drought-resistant maize germplasm released. Science China Life Sciences. 66(9). 2196–2197. 1 indexed citations
9.
Sun, Xiaopeng, Yanli Xiang, Hui Zhang, et al.. (2022). The role of transposon inverted repeats in balancing drought tolerance and yield-related traits in maize. Nature Biotechnology. 41(1). 120–127. 46 indexed citations
10.
Dai, Mingqiu, et al.. (2022). CircRNA: a rising star in plant biology. Journal of genetics and genomics. 49(12). 1081–1092. 33 indexed citations
11.
Zhang, Fei, Jinfeng Wu, Nir Sade, et al.. (2021). Genomic basis underlying the metabolome-mediated drought adaptation of maize. Genome biology. 22(1). 260–260. 73 indexed citations
12.
Wang, Bingcai, et al.. (2019). Genome‐wide association study dissects the genetic bases of salt tolerance in maize seedlings. Journal of Integrative Plant Biology. 61(6). 658–674. 67 indexed citations
13.
Sun, Xiaopeng, et al.. (2018). The Maize ABA Receptors ZmPYL8, 9, and 12 Facilitate Plant Drought Resistance. Frontiers in Plant Science. 9. 422–422. 94 indexed citations
14.
Duan, Lingfeng, Jiwan Han, Zilong Guo, et al.. (2018). Novel Digital Features Discriminate Between Drought Resistant and Drought Sensitive Rice Under Controlled and Field Conditions. Frontiers in Plant Science. 9. 492–492. 42 indexed citations
15.
Xiang, Yanli, Xiaopeng Sun, Shan Gao, Feng Qin, & Mingqiu Dai. (2016). Deletion of an Endoplasmic Reticulum Stress Response Element in a ZmPP2C-A Gene Facilitates Drought Tolerance of Maize Seedlings. Molecular Plant. 10(3). 456–469. 120 indexed citations
16.
Chen, Fang, Xiarong Shi, Liang Chen, et al.. (2012). Phosphorylation of FAR-RED ELONGATED HYPOCOTYL1 Is a Key Mechanism Defining Signaling Dynamics of Phytochrome A under Red and Far-Red Light in Arabidopsis. The Plant Cell. 24(5). 1907–1920. 39 indexed citations
17.
Park, Hee-Jin, Lei Ding, Mingqiu Dai, Rongcheng Lin, & Haiyang Wang. (2008). Multisite Phosphorylation of Arabidopsis HFR1 by Casein Kinase II and a Plausible Role in Regulating Its Degradation Rate. Journal of Biological Chemistry. 283(34). 23264–23273. 36 indexed citations
18.
Dai, Mingqiu, Yongfeng Hu, Qian Ma, Yu Zhao, & Dao‐Xiu Zhou. (2007). Functional analysis of rice HOMEOBOX4 (Oshox4) gene reveals a negative function in gibberellin responses. Plant Molecular Biology. 66(3). 289–301. 41 indexed citations
19.
Dai, Mingqiu, Yongfeng Hu, Yu Zhao, & Dao‐Xiu Zhou. (2007). Regulatory Networks Involving YABBY Genes in Rice Shoot Development. Plant Signaling & Behavior. 2(5). 399–400. 11 indexed citations
20.
Zhao, Xuelian, Hao Qiu, Tao Xia, et al.. (2005). Sequence analysis and map assignment of pig SREBF2 and ADFP. Animal Genetics. 36(5). 455–457. 5 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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