De Zhu

1.3k total citations
21 papers, 244 citations indexed

About

De Zhu is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, De Zhu has authored 21 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 4 papers in Endocrinology and 3 papers in Molecular Biology. Recurrent topics in De Zhu's work include Research in Cotton Cultivation (13 papers), Plant Virus Research Studies (5 papers) and Plant and Fungal Interactions Research (4 papers). De Zhu is often cited by papers focused on Research in Cotton Cultivation (13 papers), Plant Virus Research Studies (5 papers) and Plant and Fungal Interactions Research (4 papers). De Zhu collaborates with scholars based in China and United States. De Zhu's co-authors include Zhongxu Lin, Chao Shen, Xianlong Zhang, Tianwang Wen, Bin Gao, Chunyuan You, Ruiting Zhang, Xin Jin, Le Yu and Ximei Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, New Phytologist and Molecular Biology and Evolution.

In The Last Decade

De Zhu

18 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De Zhu China 10 216 63 34 33 13 21 244
Xiaoyu Pei China 11 288 1.3× 132 2.1× 24 0.7× 38 1.2× 6 0.5× 21 342
Honghong Zhai China 8 388 1.8× 83 1.3× 21 0.6× 68 2.1× 6 0.5× 10 405
Tianwang Wen China 10 267 1.2× 122 1.9× 21 0.6× 41 1.2× 2 0.2× 20 303
Zhaoyun Tan China 10 355 1.6× 47 0.7× 34 1.0× 92 2.8× 4 0.3× 12 387
Yves Al-Ghazi France 7 467 2.2× 107 1.7× 9 0.3× 47 1.4× 4 0.3× 8 486
Zhonghua Teng China 13 579 2.7× 54 0.9× 47 1.4× 152 4.6× 7 0.5× 31 599
Kara Grupp United States 5 238 1.1× 105 1.7× 15 0.4× 67 2.0× 2 0.2× 5 260
Rajeev Ranjan India 8 321 1.5× 121 1.9× 54 1.6× 5 0.2× 11 0.8× 16 355
Zhaoghong Meng China 2 274 1.3× 133 2.1× 7 0.2× 20 0.6× 5 0.4× 2 284
Mingguang Chu Canada 8 298 1.4× 83 1.3× 13 0.4× 80 2.4× 6 0.5× 11 316

Countries citing papers authored by De Zhu

Since Specialization
Citations

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

Fields of papers citing papers by De Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of De Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of De Zhu. A scholar is included among the top collaborators of De Zhu 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 De Zhu. De Zhu 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.
Xiong, Xianpeng, De Zhu, Lian Duan, et al.. (2025). Dynamics of duplicated gene regulatory networks governing cotton fiber development following polyploidy. New Phytologist. 248(6). 2942–2963.
2.
Yu, Le, Meiling Chen, De Zhu, et al.. (2025). Transcriptional Regulation of SWEET15_A01 by MYB44 / bHLH3 Modulates Carbon Allocation in Cotton Ovule and Fibre to Affect Seed and Fibre Traits. Plant Biotechnology Journal. 24(3). 1769–1791.
3.
Hu, Guanjing, Corrinne E. Grover, Daniel L. Vera, et al.. (2024). Evolutionary Dynamics of Chromatin Structure and Duplicate Gene Expression in Diploid and Allopolyploid Cotton. Molecular Biology and Evolution. 41(5). 11 indexed citations
4.
Mahmood, Tahir, Shoupu He, De Zhu, et al.. (2024). Transcriptomic insights into the stress signaling and drought tolerance mechanisms in sea-island cotton (Gossypium barbadense). Environmental and Experimental Botany. 228. 106048–106048. 1 indexed citations
5.
Zhang, Ruiting, Chao Shen, De Zhu, et al.. (2022). Fine-mapping and candidate gene analysis of qFL-c10-1 controlling fiber length in upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 135(12). 4483–4494. 7 indexed citations
6.
Yang, Yingxue, Chao Zhang, De Zhu, et al.. (2022). Identifying candidate genes and patterns of heat-stress response in rice using a genome-wide association study and transcriptome analyses. The Crop Journal. 10(6). 1633–1643. 29 indexed citations
7.
Huang, Cong, Chao Shen, Tianwang Wen, et al.. (2021). Genome-wide association mapping for agronomic traits in an 8-way Upland cotton MAGIC population by SLAF-seq. Theoretical and Applied Genetics. 134(8). 2459–2468. 14 indexed citations
8.
Shen, Chao, De Zhu, Pengcheng Wang, et al.. (2021). Gossypium tomentosum genome and interspecific ultra-dense genetic maps reveal genomic structures, recombination landscape and flowering depression in cotton. Genomics. 113(4). 1999–2009. 9 indexed citations
9.
Zhu, De, Ximei Li, Zhiwei Wang, et al.. (2020). Genetic dissection of an allotetraploid interspecific CSSLs guides interspecific genetics and breeding in cotton. BMC Genomics. 21(1). 431–431. 28 indexed citations
10.
Zhu, De, Le Yu, Ruiting Zhang, Xiaojing Li, & Zhongxu Lin. (2020). A global survey of the gene network and key genes for oil accumulation in cultivated tetraploid cottons. Plant Biotechnology Journal. 19(6). 1170–1182. 24 indexed citations
11.
Wang, Hantao, Ruiting Zhang, Chao Shen, et al.. (2019). Transcriptome and QTL analyses reveal candidate genes for fiber quality in Upland cotton. The Crop Journal. 8(1). 98–106. 11 indexed citations
12.
Wen, Tianwang, Chao Shen, Bin Gao, et al.. (2018). Linkage and association mapping reveals the genetic basis of brown fibre (Gossypium hirsutum). Plant Biotechnology Journal. 16(9). 1654–1666. 47 indexed citations
13.
Huang, Cong, Chao Shen, Tianwang Wen, et al.. (2018). SSR-based association mapping of fiber quality in upland cotton using an eight-way MAGIC population. Molecular Genetics and Genomics. 293(4). 793–805. 22 indexed citations
14.
Shen, Chao, Xin Jin, De Zhu, & Zhongxu Lin. (2017). Uncovering SNP and indel variations of tetraploid cottons by SLAF-seq. BMC Genomics. 18(1). 247–247. 28 indexed citations
15.
Zhao, Jian, et al.. (2013). Research on the Nonlinear Finite Element Analysis of Rubber CVJ Boot. Applied Mechanics and Materials. 421. 177–180. 2 indexed citations
16.
Zhu, De, et al.. (2012). A Discussion about the Improvement of Finite Element Analysis Units of Castellated Beam. Advanced materials research. 446-449. 648–651. 1 indexed citations
17.
18.
Zhu, De, et al.. (2011). Analysis of Residual Stresses Distribution Based on the Finite Element Method for Beam-Column Connections of Steel Frames. Applied Mechanics and Materials. 71-78. 4421–4424. 1 indexed citations
19.
Zhu, De, et al.. (2007). Highly sensitive ECL-PCR method for detection of K-ras point mutation. Chinese Chemical Letters. 18(2). 198–200. 3 indexed citations
20.
Zhu, De, et al.. (2007). Allele-specific amplification and electrochemiluminescence method for single nucleotide polymorphism analysis. Chinese Chemical Letters. 18(7). 869–871. 3 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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