Dajun Chai

597 total citations
32 papers, 423 citations indexed

About

Dajun Chai is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Biochemistry. According to data from OpenAlex, Dajun Chai has authored 32 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 13 papers in Molecular Biology and 6 papers in Biochemistry. Recurrent topics in Dajun Chai's work include Retinoids in leukemia and cellular processes (8 papers), Antioxidant Activity and Oxidative Stress (6 papers) and Cardiovascular Function and Risk Factors (4 papers). Dajun Chai is often cited by papers focused on Retinoids in leukemia and cellular processes (8 papers), Antioxidant Activity and Oxidative Stress (6 papers) and Cardiovascular Function and Risk Factors (4 papers). Dajun Chai collaborates with scholars based in China, United States and Canada. Dajun Chai's co-authors include Jinxiu Lin, Changsheng Xu, Jun Pu, Jin-Zhang Zeng, Feng Peng, Linghong Shen, Hong Xie, Xiaoyan Lin, Liming Lin and Xiao-kun Zhang and has published in prestigious journals such as Circulation Research, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

In The Last Decade

Dajun Chai

25 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dajun Chai China 12 208 80 70 68 64 32 423
Ke‐Xue Li China 12 207 1.0× 95 1.2× 59 0.8× 47 0.7× 43 0.7× 17 465
Tsunefumi Kobayashi Japan 9 213 1.0× 111 1.4× 57 0.8× 79 1.2× 62 1.0× 16 461
Shujie Guo China 13 173 0.8× 137 1.7× 43 0.6× 79 1.2× 54 0.8× 22 417
Biao Xu China 11 201 1.0× 106 1.3× 35 0.5× 44 0.6× 50 0.8× 17 445
Jue Tian China 15 254 1.2× 75 0.9× 75 1.1× 57 0.8× 26 0.4× 24 496
Ignacio Norambuena‐Soto Chile 11 247 1.2× 82 1.0× 55 0.8× 42 0.6× 34 0.5× 20 504
Masaaki Iwabayashi Japan 11 179 0.9× 100 1.3× 41 0.6× 82 1.2× 32 0.5× 24 442
Wan‐Ching Chou Taiwan 9 154 0.7× 75 0.9× 52 0.7× 30 0.4× 41 0.6× 15 343
Defeng Pan China 12 249 1.2× 124 1.6× 72 1.0× 78 1.1× 33 0.5× 40 558
Kyle T. Keyes United States 7 206 1.0× 102 1.3× 47 0.7× 80 1.2× 109 1.7× 7 492

Countries citing papers authored by Dajun Chai

Since Specialization
Citations

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

Fields of papers citing papers by Dajun Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dajun Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Dajun Chai. A scholar is included among the top collaborators of Dajun Chai 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 Dajun Chai. Dajun Chai 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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Zhao, Wenxiang, Hailin Zhang, Qinyun Ruan, et al.. (2025). Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model. Frontiers in Cardiovascular Medicine. 12. 1444323–1444323. 2 indexed citations
4.
Huang, Chun-Kai, Zhiyong Chen, Liliang Li, et al.. (2024). RNF149 Destabilizes IFNGR1 in Macrophages to Favor Postinfarction Cardiac Repair. Circulation Research. 135(4). 518–536. 6 indexed citations
5.
Zhang, Hailin, Kai Kang, Qiong Su, et al.. (2023). High serum lactate dehydrogenase as a predictor of cardiac insufficiency at follow-up in elderly patients with acute myocardial infarction. Archives of Gerontology and Geriatrics. 117. 105253–105253. 17 indexed citations
6.
Wang, Xuezhen, et al.. (2023). Risk of cardiac-related death in astrocytoma patients treated with chemotherapy: A competing risk analysis using the SEER database. Frontiers in Cardiovascular Medicine. 10. 996354–996354. 2 indexed citations
7.
Lin, Xiaoyan, Weiqiang Liu, Hailin Zhang, et al.. (2023). Activation of AHR by ITE Improves Cardiac Remodelling and Function in Rats After Myocardial Infarction. ESC Heart Failure. 10(6). 3622–3636. 7 indexed citations
8.
Wu, Xiaodan, Na Zhang, Jianjun Yu, et al.. (2023). The underlying mechanism of transcription factor IRF1, PRDM1, and ZNF263 involved in the regulation of NPPB rs3753581 on pulse pressure hypertension. Gene. 878. 147580–147580. 1 indexed citations
9.
Lin, Gang, Weibin Li, Wenbin Hong, et al.. (2023). Spinosin inhibits activated hepatic stellate cell to attenuate liver fibrosis by targeting Nur77/ASK1/p38 MAPK signaling pathway. European Journal of Pharmacology. 966. 176270–176270. 6 indexed citations
10.
Lin, Xiaoyan, Guoshan Zhang, Hailin Zhang, et al.. (2023). Retinoid X receptor agonists alleviate fibroblast activation and post-infarction cardiac remodeling via inhibition of TGF-β1/Smad pathway. Life Sciences. 329. 121936–121936. 7 indexed citations
11.
Zhang, Yuze, Xiaoyan Lin, Xiaohong Chen, et al.. (2021). Dapagliflozin: a sodium–glucose cotransporter 2 inhibitor, attenuates angiotensin II-induced cardiac fibrotic remodeling by regulating TGFβ1/Smad signaling. Cardiovascular Diabetology. 20(1). 121–121. 69 indexed citations
12.
Wu, Yuansheng, Meijin Zhang, Changsheng Xu, et al.. (2020). Anti-Diabetic Atherosclerosis by Inhibiting High Glucose-Induced Vascular Smooth Muscle Cell Proliferation via Pin1/BRD4 Pathway. Oxidative Medicine and Cellular Longevity. 2020. 1–13. 13 indexed citations
13.
Zhang, Meijin, Liming Lin, Changsheng Xu, et al.. (2018). VDR Agonist Prevents Diabetic Endothelial Dysfunction through Inhibition of Prolyl Isomerase‐1‐Mediated Mitochondrial Oxidative Stress and Inflammation. Oxidative Medicine and Cellular Longevity. 2018(1). 1714896–1714896. 28 indexed citations
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Zhu, Jiang, Xiaoyan Lin, Dajun Chai, et al.. (2014). Retinoid X Receptor Agonists Inhibit Hypertension-Induced Myocardial Hypertrophy by Modulating LKB1/AMPK/p70S6K Signaling Pathway. American Journal of Hypertension. 27(8). 1112–1124. 23 indexed citations
16.
Zhu, Ji, Dajun Chai, Changsheng Xu, et al.. (2013). RXR agonists inhibit high glucose-induced upregulation of inflammation by suppressing activation of the NADPH oxidase-nuclear factor-κB pathway in human endothelial cells. Genetics and Molecular Research. 12(4). 6692–6707. 14 indexed citations
17.
Zhou, Lei, Linghong Shen, Liuhua Hu, et al.. (2009). Retinoid X receptor agonists inhibit phorbol-12-myristate-13-acetate (PMA)-induced differentiation of monocytic THP-1 cells into macrophages. Molecular and Cellular Biochemistry. 335(1-2). 283–289. 36 indexed citations
18.
Shen, Linghong, Lei Zhou, Jun Pu, et al.. (2008). Oxidized low-density lipoprotein induces differentiation of RAW264.7 murine macrophage cell line into dendritic-like cells. Atherosclerosis. 199(2). 257–264. 31 indexed citations
19.
Chai, Dajun, Binyao Wang, Linghong Shen, et al.. (2008). RXR agonists inhibit high-glucose-induced oxidative stress by repressing PKC activity in human endothelial cells. Free Radical Biology and Medicine. 44(7). 1334–1347. 45 indexed citations
20.
Shan, Peiren, et al.. (2008). RXR agonists inhibit oxidative stress-induced apoptosis in H9c2 rat ventricular cells. Biochemical and Biophysical Research Communications. 375(4). 628–633. 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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