Dan Yan

2.6k total citations
69 papers, 2.1k citations indexed

About

Dan Yan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Dan Yan has authored 69 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Immunology. Recurrent topics in Dan Yan's work include Diabetes Treatment and Management (6 papers), FOXO transcription factor regulation (5 papers) and Photonic Crystals and Applications (5 papers). Dan Yan is often cited by papers focused on Diabetes Treatment and Management (6 papers), FOXO transcription factor regulation (5 papers) and Photonic Crystals and Applications (5 papers). Dan Yan collaborates with scholars based in China, United States and Hong Kong. Dan Yan's co-authors include Xin Luo, Zhihong Zhu, Chao Chen, Yan Zeng, Zhengyuan Xia, Wei Wang, Michael G. Irwin, Tailin Xu, Guanhua Li and Xueji Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Diabetes.

In The Last Decade

Dan Yan

67 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dan Yan 663 553 516 257 246 69 2.1k
Miao Yu 262 0.4× 411 0.7× 331 0.6× 125 0.5× 191 0.8× 92 2.0k
Lili Du 363 0.5× 819 1.5× 115 0.2× 153 0.6× 322 1.3× 69 2.5k
Shuang Guo 499 0.8× 986 1.8× 637 1.2× 116 0.5× 518 2.1× 147 2.8k
Shaofei Zhang 324 0.5× 568 1.0× 366 0.7× 80 0.3× 259 1.1× 107 2.3k
Chenfei Yu 588 0.9× 938 1.7× 275 0.5× 86 0.3× 287 1.2× 31 2.1k
Beibei Yang 704 1.1× 321 0.6× 260 0.5× 59 0.2× 87 0.4× 147 2.3k
Zhenjun Huang 850 1.3× 741 1.3× 665 1.3× 78 0.3× 226 0.9× 70 2.8k
Chien-Jung Huang 704 1.1× 366 0.7× 243 0.5× 96 0.4× 218 0.9× 142 2.3k
Weiping Xu 337 0.5× 523 0.9× 315 0.6× 114 0.4× 588 2.4× 62 2.2k
Deyang Yu 711 1.1× 523 0.9× 718 1.4× 90 0.4× 73 0.3× 64 2.0k

Countries citing papers authored by Dan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Yan. A scholar is included among the top collaborators of Dan Yan 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 Dan Yan. Dan Yan 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.
Zheng, Wenhui, et al.. (2025). Solvent Effect on the Chiral Arrangement for Two Achiral Metal‐Organic Colloids in the Vortex Field: Rheological Study and Retention Study. Chemistry - A European Journal. 31(36). e202501171–e202501171. 1 indexed citations
2.
Kong, Deyu, Dan Yan, Michael A. Stashko, et al.. (2025). UNC9426, a Potent and Orally Bioavailable TYRO3-Specific Inhibitor. Journal of Medicinal Chemistry. 68(6). 6665–6682.
3.
Long, Jianglan, et al.. (2024). Circulating metabolites difference in type 2 diabetes patients from regions: a cross-sectional study. 7(4). 21–21. 1 indexed citations
4.
Kong, Xiangchen, Dan Yan, Lianqi Shao, et al.. (2024). Increased COX6A2 Promotes Pancreatic β-Cell Apoptosis and Is Suppressed in Diabetic GK Rats After Roux-en-Y Gastric Bypass. Diabetes. 74(2). 175–187.
5.
Ye, Bin, et al.. (2024). Gut microbiota and metabolic changes in children with idiopathic short stature. BMC Pediatrics. 24(1). 468–468. 3 indexed citations
6.
7.
Yang, Zhen, Han Li, Dan Yan, et al.. (2023). Counteracting Age-Related Netrin-1 Signaling Insufficiency Ameliorates Endothelial Cell Senescence and Angiogenesis Impairment. The Journals of Gerontology Series A. 79(2). 3 indexed citations
8.
Yang, Zhen, Han Li, Pengcheng Luo, et al.. (2021). UNC5B Promotes Vascular Endothelial Cell Senescence via the ROS‐Mediated P53 Pathway. Oxidative Medicine and Cellular Longevity. 2021(1). 5546711–5546711. 20 indexed citations
9.
Zhang, Yucong, Ni Yang, Hao Nie, et al.. (2021). High-Level Serum Fibroblast Growth Factor 21 Concentration Is Closely Associated With an Increased Risk of Cardiovascular Diseases: A Systematic Review and Meta-Analysis. Frontiers in Cardiovascular Medicine. 8. 705273–705273. 18 indexed citations
10.
Shi, Wei, Haiyan Ma, Tianshu Liu, et al.. (2020). Inhibition of Interleukin‐6/glycoprotein 130 signalling by Bazedoxifene ameliorates cardiac remodelling in pressure overload mice. Journal of Cellular and Molecular Medicine. 24(8). 4748–4761. 17 indexed citations
11.
Luo, Pengcheng, Yina Wang, Junyi Guo, et al.. (2020). Bazedoxifene exhibits anti-inflammation and anti-atherosclerotic effects via inhibition of IL-6/IL-6R/STAT3 signaling. European Journal of Pharmacology. 893. 173822–173822. 26 indexed citations
12.
Luo, Dan, Yun Shi, Min Zhu, et al.. (2020). Subclinical lipohypertrophy——Easily ignored complications of insulin therapy. Journal of Diabetes and its Complications. 35(3). 107806–107806. 17 indexed citations
13.
Xie, Xiang, Dan Yan, Haobo Li, et al.. (2018). Enhancement of Adiponectin Ameliorates Nonalcoholic Fatty Liver Disease via Inhibition of FoxO1 in Type I Diabetic Rats. Journal of Diabetes Research. 2018. 1–9. 23 indexed citations
14.
Wang, Chunyan, Haobo Li, Sheng Wang, et al.. (2018). Repeated Non-Invasive Limb Ischemic Preconditioning Confers Cardioprotection Through PKC-Ԑ/STAT3 Signaling in Diabetic Rats. Cellular Physiology and Biochemistry. 45(5). 2107–2121. 24 indexed citations
15.
Shi, Wei, Dan Yan, Yina Wang, et al.. (2017). Inhibition of IL-6/STAT3 signaling in human cancer cells using Evista. Biochemical and Biophysical Research Communications. 491(1). 159–165. 27 indexed citations
16.
Pang, Lei, Yin Cai, Dan Yan, et al.. (2016). Cox‐2 Inhibition Protects against Hypoxia/Reoxygenation‐Induced Cardiomyocyte Apoptosis via Akt‐Dependent Enhancement of iNOS Expression. Oxidative Medicine and Cellular Longevity. 2016(1). 3453059–3453059. 36 indexed citations
17.
Wang, Xudong, Dan Wang, Yali Guo, et al.. (2015). Fluorescent glutathione probe based on MnO2-phenol formaldehyde resin nanocomposite. Biosensors and Bioelectronics. 77. 299–305. 69 indexed citations
18.
Zhou, Xiaoyan, Zhongjian Yu, Dan Yan, et al.. (2013). BML-11, A Lipoxin Receptor Agonist, Protected Carbon Tetrachloride-Induced Hepatic Fibrosis in Rats. Inflammation. 36(5). 1101–1106. 18 indexed citations
19.
Zhang, Shu, Tao Liu, Huifang Liang, et al.. (2009). Lipid rafts uncouple surface expression of transmembrane TNF-α from its cytotoxicity associated with ICAM-1 clustering in Raji cells. Molecular Immunology. 46(7). 1551–1560. 20 indexed citations
20.
Yan, Dan, Nalin Qin, Hailong Zhang, et al.. (2008). Expression of TNF-α leader sequence renders MCF-7 tumor cells resistant to the cytotoxicity of soluble TNF-α. Breast Cancer Research and Treatment. 116(1). 91–102. 24 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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