Yu An

6.8k total citations · 2 hit papers
119 papers, 4.9k citations indexed

About

Yu An is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Yu An has authored 119 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 43 papers in Physiology and 25 papers in Epidemiology. Recurrent topics in Yu An's work include Adipose Tissue and Metabolism (32 papers), Adipokines, Inflammation, and Metabolic Diseases (19 papers) and Cardiovascular Disease and Adiposity (10 papers). Yu An is often cited by papers focused on Adipose Tissue and Metabolism (32 papers), Adipokines, Inflammation, and Metabolic Diseases (19 papers) and Cardiovascular Disease and Adiposity (10 papers). Yu An collaborates with scholars based in China, United States and South Korea. Yu An's co-authors include Philipp E. Scherer, Clair Crewe, Pingang He, Fan Zhang, Christine M. Kusminski, Lu Tie, Yan Pan, Jing Han, Xueyang Pan and Xuejun Li and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Yu An

115 papers receiving 4.8k citations

Hit Papers

The ominous triad of adipose tissue dysfunction: inflamma... 2017 2026 2020 2023 2017 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu An China 41 2.1k 1.6k 1.3k 571 556 119 4.9k
Wei Yi China 45 2.5k 1.2× 890 0.6× 984 0.8× 685 1.2× 844 1.5× 168 5.6k
Hideyuki Yamawaki Japan 43 2.2k 1.1× 1.2k 0.8× 1.2k 0.9× 660 1.2× 1.4k 2.6× 169 5.8k
Wenke Feng United States 48 4.1k 2.0× 1.1k 0.7× 2.0k 1.6× 781 1.4× 354 0.6× 156 7.3k
Shijun Wang China 38 2.4k 1.2× 657 0.4× 590 0.5× 572 1.0× 680 1.2× 206 5.4k
Hong Zhu United States 38 3.4k 1.6× 730 0.5× 674 0.5× 586 1.0× 333 0.6× 114 5.9k
Gloria A. Benavides United States 32 2.3k 1.1× 968 0.6× 730 0.6× 443 0.8× 233 0.4× 66 4.9k
Taesun Park South Korea 43 1.8k 0.8× 1.3k 0.8× 991 0.8× 288 0.5× 178 0.3× 186 5.3k
Dongryeol Ryu South Korea 39 4.4k 2.1× 2.8k 1.8× 1.9k 1.5× 556 1.0× 277 0.5× 121 9.4k
Kun Huang China 51 3.3k 1.6× 1.5k 0.9× 544 0.4× 724 1.3× 252 0.5× 228 7.5k
Wei‐Wen Kuo Taiwan 42 3.1k 1.5× 786 0.5× 591 0.5× 727 1.3× 907 1.6× 261 6.5k

Countries citing papers authored by Yu An

Since Specialization
Citations

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

Fields of papers citing papers by Yu An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu An

This figure shows the co-authorship network connecting the top 25 collaborators of Yu An. A scholar is included among the top collaborators of Yu An 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 Yu An. Yu An 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.
Zhou, Zhengjie, Yu An, Haoyu Zheng, et al.. (2025). Aqueous Polygalae Radix extract (PRE) prolongs the lifespan of C. elegans and alleviates D-galactose-induced oxidative stress in the mouse liver and brain by modulating PPARγ/MAPK. Journal of Ethnopharmacology. 348. 119878–119878. 3 indexed citations
2.
An, Yu, et al.. (2025). Association of Sensitivity to Thyroid Hormones and Non-Alcoholic Fatty Liver Disease and the Severity of Liver Fibrosis in Euthyroid Adults: A Retrospective Study. Diabetes Metabolic Syndrome and Obesity. Volume 18. 479–490. 2 indexed citations
3.
Seo, Joo Hyeong, et al.. (2025). Protein and Peptide in Cancer Research: From Biomarker to Biotherapeutics. Cancers. 17(18). 3031–3031.
4.
Shen, Zhaocun, Fang Zhang, Yu An, et al.. (2025). Circularly Polarized Room-Temperature Phosphorescence from Marine Polysaccharide-Based Helical Assemblies. ACS Materials Letters. 7(4). 1171–1178. 1 indexed citations
5.
An, Yu, et al.. (2024). Discovery of a Photoaffinity Probe that Captures the Active Conformation of the Cannabinoid CB2 Receptor. ChemBioChem. 25(7). e202300785–e202300785. 1 indexed citations
6.
An, Yu, et al.. (2024). Integrating Network Pharmacology and Metabolomics to Explore the Potential Mechanism of Pinolenic Acid against Atherosclerosis. Journal of Food Biochemistry. 2024. 1–14. 3 indexed citations
7.
Chen, Yuhua, Lian Yang, Kui Wang, et al.. (2024). Relationship between fatty acid intake and aging: a Mendelian randomization study. Aging. 16(6). 5711–5739. 13 indexed citations
8.
An, Yu, Vivian A. Paschoal, Camila Oliveira de Souza, et al.. (2023). GPR84-mediated signal transduction affects metabolic function by promoting brown adipocyte activity. Journal of Clinical Investigation. 133(24). 7 indexed citations
9.
Chen, Kun, et al.. (2023). BSA modification of bacterial surface: a promising anti-cancer therapeutic strategy. BMC Microbiology. 23(1). 105–105. 9 indexed citations
10.
Li, Na, Yanhong Zhang, Hui Li, et al.. (2023). Ginsenoside compound K reduces neuronal damage and improves neuronal synaptic dysfunction by targeting Aβ. Frontiers in Pharmacology. 14. 1103012–1103012. 7 indexed citations
11.
Wang, Jiaxuan, et al.. (2022). Serum Ferritin Levels Are Associated with Adipose Tissue Dysfunction-Related Indices in Obese Adults. Biological Trace Element Research. 201(2). 636–643. 6 indexed citations
12.
Shao, Mengle, Chelsea Hepler, Qianbin Zhang, et al.. (2021). Pathologic HIF1α signaling drives adipose progenitor dysfunction in obesity. Cell stem cell. 28(4). 685–701.e7. 64 indexed citations
13.
Shan, Bo, Mengle Shao, Qianbin Zhang, et al.. (2020). Perivascular mesenchymal cells control adipose-tissue macrophage accrual in obesity. Nature Metabolism. 2(11). 1332–1349. 69 indexed citations
14.
An, Yu, Peng Xue, Liqiang Zhang, et al.. (2018). Autophagy promotes MSC-mediated vascularization in cutaneous wound healing via regulation of VEGF secretion. Cell Death and Disease. 9(2). 58–58. 155 indexed citations
15.
Shao, Mengle, Lavanya Vishvanath, Chelsea Hepler, et al.. (2018). De novo adipocyte differentiation from Pdgfrβ+ preadipocytes protects against pathologic visceral adipose expansion in obesity. Nature Communications. 9(1). 890–890. 125 indexed citations
16.
Zhang, Wenli, et al.. (2018). 890 MicroRNA-17-92 cluster promotes the proliferation and the chemokine production of keratinocytes: Implication for the pathogenesis of psoriasis. Journal of Investigative Dermatology. 138(5). S151–S151. 6 indexed citations
17.
An, Yu, et al.. (2017). 27-Hydroxycholesterol regulates cholesterol synthesis and transport in C6 glioma cells. NeuroToxicology. 59. 88–97. 41 indexed citations
18.
Zhang, Jianzhao, Yu An, Junwei Gao, et al.. (2012). Aquaporin-1 Translocation and Degradation Mediates the Water Transportation Mechanism of Acetazolamide. PLoS ONE. 7(9). e45976–e45976. 44 indexed citations
20.
An, Yu, Christine Y. Chen, Bryan D. Moyer, et al.. (2009). Structural and Functional Analysis of the Globular Head Domain of p115 Provides Insight into Membrane Tethering. Journal of Molecular Biology. 391(1). 26–41. 33 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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