Deye Yang

532 total citations
30 papers, 431 citations indexed

About

Deye Yang is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Deye Yang has authored 30 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Deye Yang's work include MicroRNA in disease regulation (8 papers), Congenital heart defects research (5 papers) and RNA modifications and cancer (5 papers). Deye Yang is often cited by papers focused on MicroRNA in disease regulation (8 papers), Congenital heart defects research (5 papers) and RNA modifications and cancer (5 papers). Deye Yang collaborates with scholars based in China, United States and Germany. Deye Yang's co-authors include Ying C. Q. Zang, Víctor M. Rivera, Jingwu Z. Zhang, Maria V. Tejada‐Simon, Jian Hong, Xiaoyan Huang, Rana A. K. Singh, Xi Zhou, Sufang Li and Yong‐Jian Geng and has published in prestigious journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications and Biochimica et Biophysica Acta (BBA) - Bioenergetics.

In The Last Decade

Deye Yang

27 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deye Yang China 11 178 159 117 81 38 30 431
Dallas Boodhoo United States 11 154 0.9× 132 0.8× 68 0.6× 39 0.5× 69 1.8× 21 395
Gaetano Desina Italy 8 213 1.2× 141 0.9× 107 0.9× 23 0.3× 48 1.3× 10 502
Gina Mavrikis Cox United States 7 138 0.8× 225 1.4× 58 0.5× 125 1.5× 36 0.9× 14 422
Deepa Jonnalagadda United States 9 199 1.1× 66 0.4× 49 0.4× 23 0.3× 55 1.4× 15 391
Liping Xue China 13 203 1.1× 99 0.6× 22 0.2× 86 1.1× 33 0.9× 21 403
Linlin Wan China 10 144 0.8× 359 2.3× 131 1.1× 18 0.2× 39 1.0× 36 699
M. Deininger Germany 10 155 0.9× 74 0.5× 39 0.3× 53 0.7× 45 1.2× 18 444
Darlene Badgett United States 13 213 1.2× 140 0.9× 398 3.4× 38 0.5× 43 1.1× 18 657
Tobias Rothe Germany 8 171 1.0× 235 1.5× 25 0.2× 57 0.7× 62 1.6× 12 528

Countries citing papers authored by Deye Yang

Since Specialization
Citations

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

Fields of papers citing papers by Deye Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deye Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Deye Yang. A scholar is included among the top collaborators of Deye 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 Deye Yang. Deye 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.
Hu, Huanhuan, Lu Huang, Ming‐Wei Wang, et al.. (2025). Temporal dynamics and clinical correlates of ischemic J waves in the early phase of acute myocardial infarction. BMC Cardiovascular Disorders. 25(1). 328–328.
2.
Liu, Qing, et al.. (2024). Thyroid hormone controls the timing of cochlear ribbon synapse maturation. Biochemical and Biophysical Research Communications. 704. 149704–149704.
3.
Shi, Yajuan, Zhi Zhang, Chen Fu, et al.. (2021). Cardiac‐specific overexpression of miR‐122 induces mitochondria‐dependent cardiomyocyte apoptosis and promotes heart failure by inhibiting Hand2. Journal of Cellular and Molecular Medicine. 25(11). 5326–5334. 34 indexed citations
4.
Yang, Deye, et al.. (2018). A1059 Telmisartan upregulates ACE2-Ang-(1–7)-Mas axis and affects retinal vessel endothelial cell apoptosis. Journal of Hypertension. 36. e11–e11. 2 indexed citations
5.
Su, Lin, et al.. (2017). Increased SLC7A8 expression mediates L-DOPA uptake by renal tubular epithelial cells. Molecular Medicine Reports. 16(1). 887–893. 7 indexed citations
6.
7.
Kraytsberg, Yevgenya, Xinhong Guo, Daniel J. Ehrlich, et al.. (2015). Quantitation of Mitochondrial DNA Deletions Via Restriction Digestion/Long-Range Single-Molecule PCR. Methods in molecular biology. 1351. 33–46. 4 indexed citations
8.
Zhang, Juhong, Xingwei Zhang, Xi Zhou, et al.. (2014). Role of microRNA-29b in angiotensin II-induced epithelial-mesenchymal transition in renal tubular epithelial cells. International Journal of Molecular Medicine. 34(5). 1381–1387. 29 indexed citations
9.
Huang, Xiaoyan, Fang Huang, Deye Yang, et al.. (2012). Expression of microRNA‐122 contributes to apoptosis in H9C2 myocytes. Journal of Cellular and Molecular Medicine. 16(11). 2637–2646. 29 indexed citations
10.
Yang, Deye, et al.. (2012). EXPRESSION OF MICRORNA-122 CONTRIBUTES TO APOPTOSIS IN H9C2 MYOCYTES. Heart. 98(Suppl 2). E85.1–E85. 1 indexed citations
11.
Huang, Fang, Xiaoyan Huang, Dongsheng Yan, Xi Zhou, & Deye Yang. (2011). [MicroRNA-144 over-expression induced myocytes apoptosis].. PubMed. 39(4). 353–7. 6 indexed citations
12.
Guo, Xinhong, Elena Kudryavtseva, Natalya D. Bodyak, et al.. (2010). Mitochondrial DNA deletions in mice in men: Substantia nigra is much less affected in the mouse. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1797(6-7). 1159–1162. 18 indexed citations
13.
Yang, Deye, Mingying Zhang, Xiaoyan Huang, et al.. (2010). Protection of retinal vasculature by losartan against apoptosis and vasculopathy in rats with spontaneous hypertension. Journal of Hypertension. 28(3). 510–519. 15 indexed citations
14.
Yang, Deye, Dandan Lai, Xiaoyan Huang, et al.. (2010). The defects in development and apoptosis of cardiomyocytes in mice lacking the transcriptional factor Pax-8. International Journal of Cardiology. 154(1). 43–51. 10 indexed citations
15.
Yang, Deye, Jiayin Zhang, Changxi Chen, et al.. (2007). BMPR IA Downstream Genes Related to VSD. Pediatric Research. 63(6). 602–606. 4 indexed citations
16.
Ji, Kangting, et al.. (2006). [Effects of compound Salvia injection on number and activity of endothelial progenitor cells].. PubMed. 31(3). 246–9. 2 indexed citations
17.
Zhang, Jingwu Z., Víctor M. Rivera, Maria V. Tejada‐Simon, et al.. (2002). T cell vaccination in multiple sclerosis: results of a preliminary study. Journal of Neurology. 249(2). 212–218. 45 indexed citations
18.
Tejada‐Simon, Maria V., Ying C. Q. Zang, Deye Yang, et al.. (2000). Aberrant T cell responses to myelin antigens during clinical exacerbation in patients with multiple sclerosis. International Immunology. 12(12). 1641–1650. 30 indexed citations
19.
Zang, Ying C. Q., et al.. (1999). T cell responses to myelin basic protein in patients with spinal cord injury and multiple sclerosis. Journal of Neuroimmunology. 98(2). 201–207. 72 indexed citations
20.
Hong, Jian, Ying C. Q. Zang, Maria V. Tejada‐Simon, et al.. (1999). A Common TCR V-D-J Sequence in Vβ13.1 T Cells Recognizing an Immunodominant Peptide of Myelin Basic Protein in Multiple Sclerosis. The Journal of Immunology. 163(6). 3530–3538. 38 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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