Zhaoen Yang

3.6k total citations
55 papers, 1.9k citations indexed

About

Zhaoen Yang is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Zhaoen Yang has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Plant Science, 28 papers in Molecular Biology and 7 papers in Endocrinology. Recurrent topics in Zhaoen Yang's work include Research in Cotton Cultivation (37 papers), Plant Virus Research Studies (20 papers) and Plant Molecular Biology Research (12 papers). Zhaoen Yang is often cited by papers focused on Research in Cotton Cultivation (37 papers), Plant Virus Research Studies (20 papers) and Plant Molecular Biology Research (12 papers). Zhaoen Yang collaborates with scholars based in China, United States and South Korea. Zhaoen Yang's co-authors include Fuguang Li, Zuoren Yang, Xiaoyang Ge, Xueyan Zhang, Lili Lu, Qian Gong, Wenqiang Qin, Chaojun Zhang, Fuguang Li and Ghulam Qanmber and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Zhaoen Yang

51 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaoen Yang China 24 1.7k 1.1k 100 73 49 55 1.9k
Zuoren Yang China 32 2.4k 1.4× 1.6k 1.5× 117 1.2× 69 0.9× 65 1.3× 89 2.7k
Shoupu He China 22 1.5k 0.9× 641 0.6× 169 1.7× 84 1.2× 37 0.8× 108 1.7k
Lili Lu China 21 1.4k 0.8× 825 0.8× 70 0.7× 133 1.8× 22 0.4× 44 1.5k
Byung‐Kook Ham United States 21 1.8k 1.0× 832 0.8× 91 0.9× 21 0.3× 43 0.9× 29 2.0k
Yizan Ma China 17 988 0.6× 738 0.7× 45 0.5× 61 0.8× 67 1.4× 29 1.1k
Ramiro E. Rodríguez Argentina 21 2.4k 1.4× 1.7k 1.6× 54 0.5× 93 1.3× 18 0.4× 30 2.7k
Daojun Yuan China 25 2.2k 1.3× 1.3k 1.2× 272 2.7× 122 1.7× 93 1.9× 46 2.5k
David M. Tricoli United States 17 1.3k 0.7× 1.2k 1.1× 32 0.3× 103 1.4× 100 2.0× 24 1.6k
Fábio Tebaldi Silveira Nogueira Brazil 26 2.2k 1.3× 1.7k 1.6× 32 0.3× 68 0.9× 34 0.7× 62 2.5k
Brian G. Ayre United States 26 2.0k 1.1× 1.1k 1.0× 25 0.3× 78 1.1× 90 1.8× 51 2.3k

Countries citing papers authored by Zhaoen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhaoen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoen Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoen Yang. A scholar is included among the top collaborators of Zhaoen Yang 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 Zhaoen Yang. Zhaoen Yang 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.
2.
Chen, Yanli, Zhenzhen Xu, Da Yan, et al.. (2024). Natural variations in the Cis‐elements of GhRPRS1 contributing to petal colour diversity in cotton. Plant Biotechnology Journal. 22(12). 3473–3488. 8 indexed citations
3.
Ahammed, Golam Jalal, et al.. (2024). Exploring Regulatory Roles of Plant Thylakoid-Bound Proteins Involved in Abiotic Stress Responses. Journal of Plant Growth Regulation. 43(5). 1570–1591. 10 indexed citations
4.
Yang, Lan, Wenqiang Qin, Rui Liu, et al.. (2024). Regulatory networks of coresident subgenomes during rapid fiber cell elongation in upland cotton. Plant Communications. 5(12). 101130–101130. 5 indexed citations
5.
Hu, Wei, Lan Yang, Renju Liu, et al.. (2023). EPSPS regulates cell elongation by disrupting the balance of lignin and flavonoid biosynthesis in cotton. Journal of Integrative Agriculture. 23(10). 3437–3456.
6.
Qanmber, Ghulam, Qi You, Zhaoen Yang, et al.. (2023). Transcriptional and translational landscape fine-tune genome annotation and explores translation control in cotton. Journal of Advanced Research. 58. 13–30. 15 indexed citations
7.
Zhang, Yaning, Xiaoyang Ge, Yuan Yuan, et al.. (2023). Genome-wide association analysis reveals a novel pathway mediated by a dual-TIR domain protein for pathogen resistance in cotton. Genome biology. 24(1). 111–111. 21 indexed citations
8.
Yang, Zhaoen, et al.. (2022). Recent progression and future perspectives in cotton genomic breeding. Journal of Integrative Plant Biology. 65(2). 548–569. 56 indexed citations
9.
Zhang, Zhibin, et al.. (2022). GRAND: An Integrated Genome, Transcriptome Resources, and Gene Network Database for Gossypium. Frontiers in Plant Science. 13. 773107–773107. 13 indexed citations
10.
Song, Yun, Linxuan Li, Zhaoen Yang, et al.. (2021). BIN2 negatively regulates plant defence against Verticillium dahliae in Arabidopsis and cotton. Plant Biotechnology Journal. 19(10). 2097–2112. 44 indexed citations
11.
Yang, Zhaoen, Xiaoyang Ge, Zuoren Yang, et al.. (2019). Extensive intraspecific gene order and gene structural variations in upland cotton cultivars. Nature Communications. 10(1). 2989–2989. 178 indexed citations
12.
Li, Zhi, Lei Li, Kehai Zhou, et al.. (2019). GhWRKY6 Acts as a Negative Regulator in Both Transgenic Arabidopsis and Cotton During Drought and Salt Stress. Frontiers in Genetics. 10. 392–392. 48 indexed citations
13.
Zhao, Yanyan, Zhaoen Yang, Yanpeng Ding, et al.. (2019). Over-expression of an R2R3 MYB Gene, GhMYB73, increases tolerance to salt stress in transgenic Arabidopsis. Plant Science. 286. 28–36. 77 indexed citations
14.
Song, Yun, Linxuan Li, Zhaoen Yang, et al.. (2019). Target of Rapamycin (TOR) Regulates the Expression of lncRNAs in Response to Abiotic Stresses in Cotton. Frontiers in Genetics. 9. 690–690. 22 indexed citations
15.
Yang, Zhaoen, Qian Gong, Lingling Wang, et al.. (2018). Genome-Wide Study of YABBY Genes in Upland Cotton and Their Expression Patterns under Different Stresses. Frontiers in Genetics. 9. 33–33. 66 indexed citations
16.
17.
Butt, Hamama Islam, Zhaoen Yang, Eryong Chen, et al.. (2017). Functional Characterization of Cotton GaMYB62L, a Novel R2R3 TF in Transgenic Arabidopsis. PLoS ONE. 12(1). e0170578–e0170578. 28 indexed citations
18.
Yang, Zhaoen, Qian Gong, Wenqiang Qin, et al.. (2017). Genome-wide analysis of WOX genes in upland cotton and their expression pattern under different stresses. BMC Plant Biology. 17(1). 113–113. 114 indexed citations
19.
Lu, Lili, Zhaoen Yang, Zhixia Wu, et al.. (2016). GhCaM7-like , a calcium sensor gene, influences cotton fiber elongation and biomass production. Plant Physiology and Biochemistry. 109. 128–136. 30 indexed citations
20.
Xu, Zhenzhen, Chaojun Zhang, Xiaoyang Ge, et al.. (2015). Construction of a high-density linkage map and mapping quantitative trait loci for somatic embryogenesis using leaf petioles as explants in upland cotton (Gossypium hirsutum L.). Plant Cell Reports. 34(7). 1177–1187. 7 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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