Cheng Dai

4.7k total citations · 1 hit paper
61 papers, 2.2k citations indexed

About

Cheng Dai is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Cheng Dai has authored 61 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 41 papers in Plant Science and 6 papers in Biochemistry. Recurrent topics in Cheng Dai's work include Plant Molecular Biology Research (26 papers), Plant Reproductive Biology (24 papers) and Photosynthetic Processes and Mechanisms (20 papers). Cheng Dai is often cited by papers focused on Plant Molecular Biology Research (26 papers), Plant Reproductive Biology (24 papers) and Photosynthetic Processes and Mechanisms (20 papers). Cheng Dai collaborates with scholars based in China, United States and South Korea. Cheng Dai's co-authors include Hong‐Wei Xue, Chunying Kang, Zhongchi Liu, Yongping Li, Kede Liu, Edgar P. Spalding, Nathan D. Miller, Gabriele B. Monshausen, Jia Feng and Huifeng Luo and has published in prestigious journals such as Nature Communications, The EMBO Journal and PLANT PHYSIOLOGY.

In The Last Decade

Cheng Dai

58 papers receiving 2.2k citations

Hit Papers

BnIR: A multi-omics database with various tools for Brass... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Dai China 25 1.6k 1.4k 157 145 123 61 2.2k
Feng Tian China 17 1.8k 1.1× 1.9k 1.3× 202 1.3× 176 1.2× 62 0.5× 45 3.1k
Xiaohui Yang China 28 1.7k 1.1× 1.4k 1.0× 199 1.3× 80 0.6× 387 3.1× 71 2.5k
Adeline Berger France 23 972 0.6× 1.0k 0.7× 113 0.7× 76 0.5× 144 1.2× 40 1.8k
Yong Zhou China 26 1.4k 0.9× 1.7k 1.2× 98 0.6× 238 1.6× 30 0.2× 114 2.3k
Xiaoli Sun China 33 1.8k 1.1× 2.1k 1.5× 56 0.4× 111 0.8× 49 0.4× 99 3.2k
Stefania De Domenico Italy 22 759 0.5× 516 0.4× 240 1.5× 61 0.4× 124 1.0× 39 1.5k
Avnish Kapoor United States 18 2.6k 1.6× 2.9k 2.1× 191 1.2× 127 0.9× 46 0.4× 21 3.9k
Takashi Yuasa Japan 27 1.5k 0.9× 2.3k 1.6× 134 0.9× 52 0.4× 54 0.4× 64 3.0k
Martin Werber Germany 16 2.7k 1.6× 1.4k 1.0× 775 4.9× 213 1.5× 100 0.8× 17 3.3k
Wolfgang Hoehenwarter Germany 30 1.2k 0.7× 1.1k 0.8× 37 0.2× 93 0.6× 53 0.4× 60 2.1k

Countries citing papers authored by Cheng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Dai. A scholar is included among the top collaborators of Cheng 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 Cheng Dai. Cheng 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.
Zhang, Juanjuan, et al.. (2025). Comprehensive analysis of disulfidptosis-related genes and the immune microenvironment in heart failure. Frontiers in Cell and Developmental Biology. 12. 1516898–1516898. 1 indexed citations
2.
Li, Yuanyuan, Yong Yang, Xiaomei Liang, et al.. (2024). BnaPLDα1-BnaMPK6 Involved in NaCl-Mediated Overcoming of Self-Incompatibility in Brassica napus L.. Plant Science. 345. 112116–112116. 2 indexed citations
3.
Qin, Pei, Shan Tang, Liang Guo, et al.. (2024). A gain-of-function mutation in BnaIAA13 disrupts vascular tissue and lateral root development in Brassica napus. Journal of Experimental Botany. 75(18). 5592–5610. 2 indexed citations
4.
Dai, Cheng, et al.. (2024). Preclinical Evaluation of JAB-2485, a Potent AURKA Inhibitor with High Selectivity and Favorable Pharmacokinetic Properties. ACS Omega. 9(19). 21416–21425. 2 indexed citations
5.
Xia, Tian, Zhijie Wang, Liang Guo, et al.. (2023). BnaMPK3s promote organ size by interacting with BnaARF2s in Brassica napus. Plant Biotechnology Journal. 21(5). 899–901. 3 indexed citations
6.
Dai, Cheng, et al.. (2023). Flow study of Dean’s instability in high aspect ratio microchannels. Scientific Reports. 13(1). 17896–17896. 5 indexed citations
8.
Wang, Lulin, Xiaomei Liang, Bin Yi, et al.. (2023). Two aspartic proteases, BnaAP36s and BnaAP39s, regulate pollen tube guidance in Brassica napus. Molecular Breeding. 43(4). 27–27. 2 indexed citations
9.
Yang, Zhiquan, Shengbo Wang, Lulu Wei, et al.. (2023). BnIR: A multi-omics database with various tools for Brassica napus research and breeding. Molecular Plant. 16(4). 775–789. 96 indexed citations breakdown →
10.
Wang, Huadong, Qing Xiao, Chao Wei, et al.. (2021). A mitochondria-localized pentatricopeptide repeat protein is required to restore hau cytoplasmic male sterility in Brassica napus. Theoretical and Applied Genetics. 134(5). 1377–1386. 12 indexed citations
11.
Xiao, Qing, Jing Wen, Cheng Dai, et al.. (2021). Construction of transgenic detection system of Brassica napus L. based on single nucleotide polymorphism chip. 3 Biotech. 12(1). 11–11. 2 indexed citations
12.
Wu, Jiajing, Zhiqiang Duan, Zhijuan Wang, et al.. (2020). Roles of the Brassica napus DELLA Protein BnaA6.RGA, in Modulating Drought Tolerance by Interacting With the ABA Signaling Component BnaA10.ABF2. Frontiers in Plant Science. 11. 577–577. 74 indexed citations
13.
Li, Haitao, et al.. (2020). Knock-out of TERMINAL FLOWER 1 genes altered flowering time and plant architecture in Brassica napus. BMC Genetics. 21(1). 52–52. 47 indexed citations
14.
Luo, Huifeng, Cheng Dai, Yongping Li, et al.. (2018). Reduced Anthocyanins in Petioles codes for a GST anthocyanin transporter that is essential for the foliage and fruit coloration in strawberry. Journal of Experimental Botany. 69(10). 2595–2608. 155 indexed citations
15.
Chang, Renxu, Lele Song, Yi Xu, et al.. (2018). Loss of Wwox drives metastasis in triple-negative breast cancer by JAK2/STAT3 axis. Nature Communications. 9(1). 3486–3486. 87 indexed citations
16.
Tang, Ting, Hong Yang, Qi Gao, et al.. (2018). Development and Validation of an Effective CRISPR/Cas9 Vector for Efficiently Isolating Positive Transformants and Transgene-Free Mutants in a Wide Range of Plant Species. Frontiers in Plant Science. 9. 1533–1533. 55 indexed citations
17.
Zhao, Bo, Haitao Li, Juanjuan Li, et al.. (2017). Brassica napus DS-3, encoding a DELLA protein, negatively regulates stem elongation through gibberellin signaling pathway. Theoretical and Applied Genetics. 130(4). 727–741. 65 indexed citations
18.
Koo, Ja Choon, Cheng Dai, Yuree Lee, et al.. (2017). The Protein Trio RPK1–CaM4–RbohF Mediates Transient Superoxide Production to Trigger Age-Dependent Cell Death in Arabidopsis. Cell Reports. 21(12). 3373–3380. 25 indexed citations
19.
Xu, Yi, Renxu Chang, Zhiyong Peng, et al.. (2015). Loss of polarity protein AF6 promotes pancreatic cancer metastasis by inducing Snail expression. Nature Communications. 6(1). 7184–7184. 50 indexed citations
20.
Dai, Cheng & Hong‐Wei Xue. (2010). Rice early flowering1, a CKI, phosphorylates DELLA protein SLR1 to negatively regulate gibberellin signalling. The EMBO Journal. 29(11). 1916–1927. 162 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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