Yajuan Yang

2.1k total citations
70 papers, 1.6k citations indexed

About

Yajuan Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Yajuan Yang has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Cardiology and Cardiovascular Medicine and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Yajuan Yang's work include Atrial Fibrillation Management and Outcomes (13 papers), Perovskite Materials and Applications (12 papers) and Quantum Dots Synthesis And Properties (9 papers). Yajuan Yang is often cited by papers focused on Atrial Fibrillation Management and Outcomes (13 papers), Perovskite Materials and Applications (12 papers) and Quantum Dots Synthesis And Properties (9 papers). Yajuan Yang collaborates with scholars based in China, Hong Kong and Greece. Yajuan Yang's co-authors include Chun‐Chao Chen, Jianghu Liang, Jianli Wang, Zhanfei Zhang, Tong Liu, Guangping Li, Zhiwei Zhang, Ying Huang, Xueyun Wu and Zhuang Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Yajuan Yang

64 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yajuan Yang China 25 568 521 351 296 222 70 1.6k
Chenfei Yu United States 21 588 1.0× 938 1.8× 333 0.9× 401 1.4× 134 0.6× 31 2.1k
Feihong Huang China 19 447 0.8× 321 0.6× 435 1.2× 213 0.7× 47 0.2× 80 1.4k
Xinyue Cui China 20 392 0.7× 283 0.5× 237 0.7× 277 0.9× 25 0.1× 94 1.3k
Yuanbo Feng Belgium 22 119 0.2× 410 0.8× 463 1.3× 153 0.5× 135 0.6× 100 1.7k
Yun Zhao China 22 407 0.7× 483 0.9× 673 1.9× 34 0.1× 58 0.3× 67 1.7k
Yangying Zhou China 28 678 1.2× 853 1.6× 486 1.4× 308 1.0× 20 0.1× 72 2.3k
Dicle Güç Türkiye 22 157 0.3× 338 0.6× 782 2.2× 58 0.2× 159 0.7× 50 1.9k
Yong Ning China 27 450 0.8× 1.2k 2.3× 404 1.2× 72 0.2× 27 0.1× 46 2.0k
Atsushi Miki Japan 21 336 0.6× 274 0.5× 322 0.9× 56 0.2× 47 0.2× 96 1.9k
Xi Hu China 24 245 0.4× 639 1.2× 150 0.4× 83 0.3× 25 0.1× 75 1.7k

Countries citing papers authored by Yajuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yajuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yajuan Yang. A scholar is included among the top collaborators of Yajuan 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 Yajuan Yang. Yajuan 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
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Li, Tingting, Shuman Tao, Tongcui Jiang, et al.. (2025). Moderating effects of insomnia on the association between urinary phthalate metabolites and depressive symptoms in Chinese college students: focus on gender differences. BMC Public Health. 25(1). 802–802. 1 indexed citations
3.
4.
Yang, Yajuan, et al.. (2025). Spatial transcriptomics provide insights into the secondary lateral rooting difficulties of tetraploid forsythia cuttings. Industrial Crops and Products. 237. 122182–122182.
5.
Zhang, Zhen‐Ye, Pan Lu, Shipeng Dang, et al.. (2024). Glucose fluctuations aggravate cardiomyocyte apoptosis by enhancing the interaction between Txnip and Akt. BMC Cardiovascular Disorders. 24(1). 470–470.
6.
Cao, Lili, Shuhan Wang, Simin Zhao, et al.. (2024). MCM8 interacts with DDX5 to promote R-loop resolution. The EMBO Journal. 43(14). 3044–3071. 8 indexed citations
7.
Tian, Weijun, et al.. (2024). The Causal Relationship between Genetically Predicted Biological Aging, Alzheimer's Disease and Cognitive Function: A Mendelian Randomisation Study. The Journal of Prevention of Alzheimer s Disease. 11(6). 1826–1833. 2 indexed citations
8.
Zhao, Simin, Yajuan Yang, Ting Guo, et al.. (2023). TP63 gain-of-function mutations cause premature ovarian insufficiency by inducing oocyte apoptosis. Journal of Clinical Investigation. 133(5). 22 indexed citations
9.
Jiao, Wenlin, et al.. (2022). HGF Secreted by Mesenchymal Stromal Cells Promotes Primordial Follicle Activation by Increasing the Activity of the PI3K-AKT Signaling Pathway. Stem Cell Reviews and Reports. 18(5). 1834–1850. 31 indexed citations
10.
Xu, Lan, Duan Li, Xiaoxia Yu, et al.. (2021). Correction: FANCI plays an essential role in spermatogenesis and regulates meiotic histone methylation. Cell Death and Disease. 12(9). 808–808. 1 indexed citations
11.
Wei, Dengshuai, et al.. (2019). Discovery of Dioxino[2,3-f]quinazoline derivative VEGFR-2 inhibitors exerting significant antipro-liferative activity in HUVECs and mice. European Journal of Medicinal Chemistry. 175. 349–356. 29 indexed citations
12.
Wei, Dengshuai, et al.. (2019). Synthesis and anti-tumor activity of [1,4] dioxino [2,3-f] quinazoline derivatives as dual inhibitors of c-Met and VEGFR-2. Bioorganic Chemistry. 88. 102916–102916. 29 indexed citations
13.
Peng, Lei, Ying Zhou, Guomei Zhang, et al.. (2018). A highly efficient chiral sensing platform for tryptophan isomers based on a coordination self-assembly. Talanta. 195. 306–312. 38 indexed citations
14.
Li, Jiao, Yajuan Yang, Chee Yuan Ng, et al.. (2016). Association of Plasma Transforming Growth Factor-β1 Levels and the Risk of Atrial Fibrillation: A Meta-Analysis. PLoS ONE. 11(5). e0155275–e0155275. 18 indexed citations
15.
Meng, Lei, et al.. (2016). Predictive value of circulating fibroblast growth factor-23 on atrial fibrillation: A meta-analysis. International Journal of Cardiology. 210. 68–71. 6 indexed citations
16.
Li, Pengfei, et al.. (2016). High-Level Secretory Expression and Purification of Recombinant Human Interleukin 1 Beta in Pichia pastoris. Protein and Peptide Letters. 23(8). 763–769. 7 indexed citations
17.
Zhao, Jianping, Tong Liu, Panagiotis Korantzopoulos, et al.. (2015). Association between serum uric acid and atrial fibrillation recurrence following catheter ablation: A meta-analysis. International Journal of Cardiology. 204. 103–105. 15 indexed citations
18.
Yang, Yajuan, Zhiwei Zhang, Chee Yuan Ng, Guangping Li, & Tong Liu. (2015). Meta-analysis of CHADS2 Score in Predicting Atrial Fibrillation. The American Journal of Cardiology. 116(4). 554–562. 16 indexed citations
19.
Zhang, Zhiwei, Κonstantinos P. Letsas, Yajuan Yang, et al.. (2015). Notching early repolarization pattern in inferior leads increases risk of ventricular tachyarrhythmias in patients with acute myocardial infarction: a meta-analysis. Scientific Reports. 5(1). 15845–15845. 10 indexed citations
20.
Yang, Yajuan, Y. George Zheng, Wei Huang, et al.. (2013). CRL4B promotes tumorigenesis by coordinating with SUV39H1/HP1/DNMT3A in DNA methylation-based epigenetic silencing. Oncogene. 34(1). 104–118. 88 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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