Juanjuan Yu

1.0k total citations
30 papers, 610 citations indexed

About

Juanjuan Yu is a scholar working on Molecular Biology, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Juanjuan Yu has authored 30 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Plant Science and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Juanjuan Yu's work include Plant Stress Responses and Tolerance (10 papers), Photosynthetic Processes and Mechanisms (10 papers) and Plant Molecular Biology Research (5 papers). Juanjuan Yu is often cited by papers focused on Plant Stress Responses and Tolerance (10 papers), Photosynthetic Processes and Mechanisms (10 papers) and Plant Molecular Biology Research (5 papers). Juanjuan Yu collaborates with scholars based in China, United States and Czechia. Juanjuan Yu's co-authors include Sixue Chen, Shaojun Dai, Tai Wang, Sun Guo-rong, Qi Zhao, Chuanping Yang, Siyi Guo, Yuchen Miao, Ying Li and Zepeng Yin and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Plant and Soil.

In The Last Decade

Juanjuan Yu

27 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juanjuan Yu China 15 381 367 47 42 36 30 610
Franca Locatelli Italy 15 909 2.4× 689 1.9× 25 0.5× 11 0.3× 19 0.5× 30 1.2k
Eline H. Verbon Netherlands 7 471 1.2× 209 0.6× 18 0.4× 25 0.6× 39 1.1× 7 740
Yuqin Zhang China 14 831 2.2× 666 1.8× 17 0.4× 32 0.8× 17 0.5× 32 1.1k
Jingjing Chang China 13 839 2.2× 357 1.0× 17 0.4× 20 0.5× 11 0.3× 20 963
Dario Breitel Israel 7 603 1.6× 650 1.8× 45 1.0× 7 0.2× 53 1.5× 9 991
So‐Yon Park United States 13 918 2.4× 800 2.2× 36 0.8× 5 0.1× 13 0.4× 19 1.2k
Ze Wu China 19 651 1.7× 665 1.8× 57 1.2× 33 0.8× 34 0.9× 62 980
Robert J. Knight United States 16 459 1.2× 308 0.8× 43 0.9× 15 0.4× 74 2.1× 53 751
Lu Luo China 12 753 2.0× 489 1.3× 22 0.5× 25 0.6× 55 1.5× 22 1.0k

Countries citing papers authored by Juanjuan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Juanjuan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juanjuan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Juanjuan Yu. A scholar is included among the top collaborators of Juanjuan Yu 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 Juanjuan Yu. Juanjuan Yu 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.
Wang, Ping, Xingyao Xiong, Juanjuan Yu, et al.. (2025). A MADS-box protein GhAGL8 promotes early flowering and increases yield without compromising fiber quality in cotton. Industrial Crops and Products. 225. 120545–120545. 1 indexed citations
3.
Yu, Juanjuan, et al.. (2025). The Deep Mining Era: Genomic, Metabolomic, and Integrative Approaches to Microbial Natural Products from 2018 to 2024. Marine Drugs. 23(7). 261–261. 1 indexed citations
4.
Wang, Yujiao, Yifan Wu, Hongwei Jiang, et al.. (2025). L-Kynurenine activates the AHR-PCSK9 pathway to mediate the lipid metabolic and ovarian dysfunction in polycystic ovary syndrome. Metabolism. 168. 156238–156238. 1 indexed citations
5.
Xia, Han, Juanjuan Yu, Yueyue Li, et al.. (2025). Genome-wide identification and expression analysis of glutaredoxin in Puccinellia tenuiflora under salinity stress. BMC Plant Biology. 25(1). 605–605.
7.
Xu, Youqin, Song Mu, Wancheng Chen, et al.. (2023). The N6-methyladenosine METTL3 regulates tumorigenesis and glycolysis by mediating m6A methylation of the tumor suppressor LATS1 in breast cancer. Journal of Experimental & Clinical Cancer Research. 42(1). 10–10. 68 indexed citations
8.
Yu, Xinjie, Junhua Li, Junhua Li, et al.. (2022). Integrated volatile metabolomic and transcriptomic analysis provides insights into the regulation of floral scents between two contrasting varieties of Lonicera japonica. Frontiers in Plant Science. 13. 989036–989036. 17 indexed citations
9.
Wang, Xiaomeng, Yunpeng Wang, Luying Liu, et al.. (2022). Autopolyploidy enhances agronomic traits and active ingredients in ‘Huaibai’, a top-grade medicinal chrysanthemum. Plant Cell Tissue and Organ Culture (PCTOC). 151(2). 433–442. 2 indexed citations
10.
Wang, Li, et al.. (2022). Transcriptome-wide profiling of mRNA N6-methyladenosine modification in rice panicles and flag leaves. Genomics. 115(1). 110542–110542. 4 indexed citations
11.
Wang, Menglei, Chenhui Yang, Miao Zhao, et al.. (2021). Temporal expression study of miRNAs in the crown tissues of winter wheat grown under natural growth conditions. BMC Genomics. 22(S3). 793–793. 4 indexed citations
12.
Wang, Lı, Ying Yin, Menglei Wang, et al.. (2021). Profiling of MicroRNAs Involved in Mepiquat Chloride-Mediated Inhibition of Internode Elongation in Cotton (Gossypium hirsutum L.) Seedlings. Frontiers in Plant Science. 12. 643213–643213. 4 indexed citations
13.
Yu, Juanjuan, Zhiping Dong, Jin Koh, et al.. (2021). Integrative Proteomic and Phosphoproteomic Analyses of Pattern- and Effector-Triggered Immunity in Tomato. Frontiers in Plant Science. 12. 768693–768693. 16 indexed citations
14.
Yu, Guang, Yuan Zhou, Juanjuan Yu, et al.. (2019). Transcriptome and digital gene expression analysis unravels the novel mechanism of early flowering in Angelica sinensis. Scientific Reports. 9(1). 10035–10035. 19 indexed citations
15.
Zhang, Yongxue, Yue Zhang, Juanjuan Yu, et al.. (2019). NaCl-responsive ROS scavenging and energy supply in alkaligrass callus revealed from proteomic analysis. BMC Genomics. 20(1). 990–990. 23 indexed citations
16.
Yu, Juanjuan, Yongxue Zhang, Jun‐Ming Liu, et al.. (2018). Proteomic discovery of H2O2 response in roots and functional characterization of PutGLP gene from alkaligrass. Planta. 248(5). 1079–1099. 22 indexed citations
17.
Yu, Juanjuan, Xin Jin, Tianxiang Gao, et al.. (2017). Hydrogen Peroxide Response in Leaves of Poplar (Populus simonii × Populus nigra) Revealed from Physiological and Proteomic Analyses. International Journal of Molecular Sciences. 18(10). 2085–2085. 22 indexed citations
18.
Zhao, Jie, et al.. (2016). Identification of genes and proteins associated with anagen wool growth. Animal Genetics. 48(1). 67–79. 11 indexed citations
19.
Zhao, Qi, et al.. (2016). Chilling-responsive mechanisms in halophyte Puccinellia tenuiflora seedlings revealed from proteomics analysis. Journal of Proteomics. 143. 365–381. 26 indexed citations
20.
Liu, Nan, Hegang Li, Kaidong Liu, et al.. (2014). Identification of skin-expressed genes possibly associated with wool growth regulation of Aohan fine wool sheep. BMC Genetics. 15(1). 144–144. 15 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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