Yanmei Zeng

581 total citations
22 papers, 422 citations indexed

About

Yanmei Zeng is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Yanmei Zeng has authored 22 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Molecular Biology. Recurrent topics in Yanmei Zeng's work include Adipose Tissue and Metabolism (5 papers), Cardiovascular Disease and Adiposity (3 papers) and MicroRNA in disease regulation (3 papers). Yanmei Zeng is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Cardiovascular Disease and Adiposity (3 papers) and MicroRNA in disease regulation (3 papers). Yanmei Zeng collaborates with scholars based in China and Denmark. Yanmei Zeng's co-authors include Meiping Guan, Yaoming Xue, Zongji Zheng, Wen-Wei Xu, Chenzhong Li, Jingjing Li, Shu Fang, Ling Wang, Yudan Zhang and Yingshan Liu and has published in prestigious journals such as International Journal of Molecular Sciences, Metabolism and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Yanmei Zeng

19 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanmei Zeng China 12 199 143 79 74 67 22 422
Jie Fang China 8 213 1.1× 108 0.8× 95 1.2× 59 0.8× 55 0.8× 25 427
Xianghua Zhuang China 12 174 0.9× 80 0.6× 44 0.6× 84 1.1× 56 0.8× 32 419
Daniel Franco United States 14 282 1.4× 115 0.8× 75 0.9× 102 1.4× 37 0.6× 24 510
Panwei Mu China 12 177 0.9× 165 1.2× 69 0.9× 71 1.0× 78 1.2× 24 449
Yumi Jimbu Japan 16 219 1.1× 158 1.1× 110 1.4× 112 1.5× 88 1.3× 24 566
Jung Eun Kim South Korea 10 150 0.8× 74 0.5× 40 0.5× 63 0.9× 52 0.8× 11 429
Amanda Garza United States 13 246 1.2× 274 1.9× 115 1.5× 55 0.7× 35 0.5× 28 588
Yasutaka Takeda Japan 9 171 0.9× 231 1.6× 181 2.3× 73 1.0× 36 0.5× 20 454
Hidemitsu Sakagami Japan 8 206 1.0× 206 1.4× 182 2.3× 83 1.1× 36 0.5× 13 515
Xuefei Ma China 11 254 1.3× 148 1.0× 64 0.8× 31 0.4× 170 2.5× 22 553

Countries citing papers authored by Yanmei Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Yanmei Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanmei Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Yanmei Zeng. A scholar is included among the top collaborators of Yanmei Zeng 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 Yanmei Zeng. Yanmei Zeng 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.
2.
Li, Xuelin, Min Luo, Yanmei Zeng, et al.. (2025). MicroRNA-24-3p targeting Top1 in perirenal fat is involved in circulating inflammation and high cardiovascular disease risk in patients with primary aldosteronism. Journal of Translational Medicine. 23(1). 345–345. 2 indexed citations
3.
Zeng, Yanmei, Xiaoling Deng, Guobiao Liang, et al.. (2025). Cytohesin-4/ARF6 facilitates the progression of acute myeloid leukemia through activating PIK3R5/PI3K/AKT pathway. iScience. 28(6). 112634–112634.
4.
5.
Su, Chang, Xuelin Li, Xiaochun Lin, et al.. (2024). RXRα/MR signaling promotes diabetic kidney disease by facilitating renal tubular epithelial cells senescence and metabolic reprogramming. Translational research. 274. 101–117. 4 indexed citations
6.
Deng, Xiaoling, et al.. (2023). CRIP1 supports the growth and migration of AML-M5 subtype cells by activating Wnt/β-catenin pathway. Leukemia Research. 130. 107312–107312. 6 indexed citations
7.
Zhang, Yudan, Yingying Cai, Hongbin Zhang, et al.. (2021). Brown adipose tissue transplantation ameliorates diabetic nephropathy through the miR-30b pathway by targeting Runx1. Metabolism. 125. 154916–154916. 24 indexed citations
8.
Fang, Shu, Ping Li, Yudan Zhang, et al.. (2020). MiR-455 targeting SOCS3 improve liver lipid disorders in diabetic mice. Adipocyte. 9(1). 179–188. 11 indexed citations
9.
Li, Ping, Yingying Cai, Shu Fang, et al.. (2020). Transplantation of brown adipose tissue up-regulates miR-99a to ameliorate liver metabolic disorders in diabetic mice by targeting NOX4. Adipocyte. 9(1). 57–67. 24 indexed citations
10.
Fang, Shu, Yingying Cai, Chunyan Wu, et al.. (2020). Exendin-4 Improves Diabetic Kidney Disease in C57BL/6 Mice Independent of Brown Adipose Tissue Activation. Journal of Diabetes Research. 2020. 1–12. 12 indexed citations
11.
Wu, Chunyan, Huijian Zhang, Xiaochun Lin, et al.. (2020). Role of PDK4 in insulin signaling pathway in periadrenal adipose tissue of pheochromocytoma patients. Endocrine Related Cancer. 27(10). 583–589. 5 indexed citations
12.
Zhang, Yudan, Shiqun Liu, Yanmei Zeng, et al.. (2019). [Effect of glucagon-like peptide 1 receptor agonists on body fat redistribution and muscle mass in overweight and obese type 2 diabetic patients].. Europe PMC (PubMed Central). 39(4). 450–455. 5 indexed citations
13.
Wu, Chunyan, Huijian Zhang, Hongbin Zhang, et al.. (2019). Increased oxidative stress, inflammation and fibrosis in perirenal adipose tissue of patients with cortisol-producing adenoma. Adipocyte. 8(1). 347–356. 16 indexed citations
14.
Zeng, Yanmei, Ping Li, Shu Fang, et al.. (2019). Genetic Analysis of SLC12A3 Gene in Chinese Patients with Gitelman Syndrome. Medical Science Monitor. 25. 5942–5952. 19 indexed citations
15.
Guan, Meiping, et al.. (2019). Verapamil Attenuated Prediabetic Neuropathy in High-Fat Diet-Fed Mice through Inhibiting TXNIP-Mediated Apoptosis and Inflammation. Oxidative Medicine and Cellular Longevity. 2019. 1–14. 52 indexed citations
16.
Cai, Yingying, Hongbin Zhang, Yanmei Zeng, et al.. (2019). Renoprotective effects of brown adipose tissue activation in diabetic mice. Journal of Diabetes. 11(12). 958–970. 26 indexed citations
17.
Zeng, Yanmei, Meiping Guan, Chenzhong Li, et al.. (2018). Bitter melon (Momordica charantia) attenuates atherosclerosis in apo-E knock-out mice possibly through reducing triglyceride and anti-inflammation. Lipids in Health and Disease. 17(1). 251–251. 16 indexed citations
18.
Guan, Meiping, Wenqi Li, Lingling Xu, et al.. (2018). Metformin Improves Epithelial-to-Mesenchymal Transition Induced by TGF-β1 in Renal Tubular Epithelial NRK-52E Cells via Inhibiting Egr-1. Journal of Diabetes Research. 2018. 1–8. 20 indexed citations
19.
Zeng, Yanmei, Chenzhong Li, Meiping Guan, et al.. (2014). The DPP-4 inhibitor sitagliptin attenuates the progress of atherosclerosis in apolipoprotein-E-knockout mice via AMPK- and MAPK-dependent mechanisms. Cardiovascular Diabetology. 13(1). 32–32. 108 indexed citations
20.
Xu, Wen-Wei, et al.. (2014). Exendin-4 Alleviates High Glucose-Induced Rat Mesangial Cell Dysfunction through the AMPK Pathway. Cellular Physiology and Biochemistry. 33(2). 423–432. 44 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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