Dong Han

3.8k total citations
66 papers, 2.5k citations indexed

About

Dong Han is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Dong Han has authored 66 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Cardiology and Cardiovascular Medicine and 11 papers in Surgery. Recurrent topics in Dong Han's work include Ubiquitin and proteasome pathways (7 papers), Adipose Tissue and Metabolism (5 papers) and Mesenchymal stem cell research (5 papers). Dong Han is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Adipose Tissue and Metabolism (5 papers) and Mesenchymal stem cell research (5 papers). Dong Han collaborates with scholars based in China, United States and South Korea. Dong Han's co-authors include Feng Cao, Yabin Wang, Jiangwei Chen, Sai Ma, Jeong Hee Kim, Congye Li, Miaomiao Fan, Ran Zhang, Tingwen Zhou and Jing Feng and has published in prestigious journals such as Circulation, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Dong Han

63 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Han China 28 1.2k 357 331 318 271 66 2.5k
Jingjing Zhang China 33 1.4k 1.2× 232 0.6× 259 0.8× 375 1.2× 476 1.8× 194 3.3k
Jian Yang China 32 995 0.8× 679 1.9× 494 1.5× 673 2.1× 195 0.7× 144 3.1k
Ningjun Li United States 34 1.4k 1.2× 282 0.8× 295 0.9× 464 1.5× 427 1.6× 107 3.9k
Ji Hyung Chung South Korea 30 1.1k 0.9× 266 0.7× 349 1.1× 254 0.8× 190 0.7× 94 2.5k
Guanwei Fan China 32 1.2k 1.0× 253 0.7× 345 1.0× 315 1.0× 224 0.8× 77 2.7k
Yujia Yuan China 29 1.5k 1.2× 506 1.4× 321 1.0× 94 0.3× 321 1.2× 66 3.0k
Kyung Hee Jung South Korea 35 1.5k 1.2× 401 1.1× 395 1.2× 114 0.4× 343 1.3× 125 3.5k
Lei Cao China 30 800 0.7× 216 0.6× 401 1.2× 120 0.4× 257 0.9× 104 2.6k
Jae‐Ryong Kim South Korea 32 1.2k 1.0× 199 0.6× 404 1.2× 112 0.4× 253 0.9× 118 2.9k

Countries citing papers authored by Dong Han

Since Specialization
Citations

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

Fields of papers citing papers by Dong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Han

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Han. A scholar is included among the top collaborators of Dong Han 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 Dong Han. Dong Han 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
2.
Wang, Yujia, Dong Han, Jing Liu, et al.. (2024). Cluster of Differentiation-44-Targeting Prussian Blue Nanoparticles Onloaded with Colchicine for Atherosclerotic Plaque Regression in a Mice Model. ACS Biomaterials Science & Engineering. 10(3). 1530–1543. 12 indexed citations
3.
Qiu, Ya, Yan Ma, Min Jiang, et al.. (2021). Melatonin Alleviates LPS-Induced Pyroptotic Cell Death in Human Stem Cell-Derived Cardiomyocytes by Activating Autophagy. Stem Cells International. 2021. 1–12. 19 indexed citations
4.
Wang, Yongjun, Dong Han, Tingwen Zhou, et al.. (2021). DUSP26 induces aortic valve calcification by antagonizing MDM2-mediated ubiquitination of DPP4 in human valvular interstitial cells. European Heart Journal. 42(30). 2935–2951. 49 indexed citations
5.
He, Jun, Cyrollah Disoma, Yi Hu, et al.. (2021). Hsa_circ_0107593 Suppresses the Progression of Cervical Cancer via Sponging hsa-miR-20a-5p/93-5p/106b-5p. Frontiers in Oncology. 10. 590627–590627. 22 indexed citations
6.
Chen, Jiangwei, Yingfei Zhan, Yabin Wang, et al.. (2018). Chitosan/silk fibroin modified nanofibrous patches with mesenchymal stem cells prevent heart remodeling post-myocardial infarction in rats. Acta Biomaterialia. 80. 154–168. 181 indexed citations
7.
Wu, Bin, Jie Lin, Dong Han, et al.. (2017). Dihydromyricetin Protects against Diabetic Cardiomyopathy in Streptozotocin-Induced Diabetic Mice. BioMed Research International. 2017. 1–13. 69 indexed citations
8.
Han, Dong, Xiang Li, Shuang Li, et al.. (2017). Reduced silent information regulator 1 signaling exacerbates sepsis-induced myocardial injury and mitigates the protective effect of a liver X receptor agonist. Free Radical Biology and Medicine. 113. 291–303. 68 indexed citations
9.
Han, Dong, Quansheng Gao, & Feng Cao. (2017). Long noncoding RNAs (LncRNAs) — The dawning of a new treatment for cardiac hypertrophy and heart failure. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(8). 2078–2084. 24 indexed citations
10.
Li, Xiang, Dong Han, Yabin Wang, et al.. (2016). GW27-e1152 Activation of cannabinoid receptor II -CB2 ameliorates cardiac fibrosis after myocardial infarction via Nrf2-mediated inhibition of TGFβ-1/Smad3 pathway. Journal of the American College of Cardiology. 68(16). C42–C42. 1 indexed citations
11.
Zhang, Xiaotian, Sai Ma, Ran Zhang, et al.. (2016). Oncostatin M-induced cardiomyocyte dedifferentiation regulates the progression of diabetic cardiomyopathy through B-Raf/Mek/Erk signaling pathway. Acta Biochimica et Biophysica Sinica. 48(3). 257–265. 18 indexed citations
12.
Liu, Xuan, Chao Cao, Dong Han, et al.. (2015). Apelin-13 induces autophagy in hepatoma HepG2 cells through ERK1/2 signaling pathway-dependent upregulation of Beclin1. Oncology Letters. 11(2). 1051–1056. 17 indexed citations
13.
Liu, Tong, Ran Zhang, Tao Guo, et al.. (2015). Cardiotrophin-1 promotes cardiomyocyte differentiation from mouse induced pluripotent stem cells via JAK2/STAT3/Pim-1 signaling pathway.. PubMed. 12(6). 591–9. 5 indexed citations
14.
Jeong, Soo Kyung, Joong‐Sun Kim, Chang Geun Lee, et al.. (2015). Tumor associated macrophages provide the survival resistance of tumor cells to hypoxic microenvironmental condition through IL-6 receptor-mediated signals. Immunobiology. 222(1). 55–65. 48 indexed citations
15.
Choi, Won Hoon, Jung Hoon Lee, Dong Han, et al.. (2014). A Neurostimulant para-Chloroamphetamine Inhibits the Arginylation Branch of the N-end Rule Pathway. Scientific Reports. 4(1). 6344–6344. 18 indexed citations
16.
Hui, Weijun, Yang Li, Yongjian Zhang, Chao Zhou, & Dong Han. (2012). Effect of prestraining on hydrogen absorption and delayed fracture behavior of a medium-carbon TRIP steel. 33(6). 42–46. 4 indexed citations
17.
Han, Dong, et al.. (2011). Partners in Crime: Ubiquitin-Mediated Degradation and Autophagy. Science Signaling. 4(178). jc4–jc4. 5 indexed citations
18.
Han, Dong, et al.. (2006). Antioxidant and apoptosis-inducing activities of ellagic acid.. PubMed. 26(5A). 3601–6. 183 indexed citations
19.
Han, Dong, Sang Yup Lee, & Won Hi Hong. (1994). Separation of intracellular proteins from Candida utilis using reverse micelles in a spray column. Biotechnology Techniques. 8(2). 105–110. 14 indexed citations
20.
Han, Dong, Sang Yup Lee, & Won Hi Hong. (1993). Direct recovery of intracellular proteins from Candida utilis using reverse micelles in combination with a reducing agent. Biotechnology Techniques. 7(8). 545–550. 6 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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