Lexiang Yu

608 total citations
20 papers, 398 citations indexed

About

Lexiang Yu is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Lexiang Yu has authored 20 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Molecular Biology. Recurrent topics in Lexiang Yu's work include Adipose Tissue and Metabolism (8 papers), Diet, Metabolism, and Disease (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Lexiang Yu is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Diet, Metabolism, and Disease (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Lexiang Yu collaborates with scholars based in United States, China and Singapore. Lexiang Yu's co-authors include Li Qiang, Wei Yan, Rongqiao He, Tao He, Yong Xu, Lei Sun, Qiuzhong Zhou, Yujing Wang, Yao Chen and Longhua Liu and has published in prestigious journals such as Biomaterials, Cell Metabolism and The FASEB Journal.

In The Last Decade

Lexiang Yu

20 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lexiang Yu United States 12 127 118 71 65 60 20 398
Joanna Góralska Poland 13 109 0.9× 125 1.1× 65 0.9× 78 1.2× 50 0.8× 37 397
Jinfei Yang China 13 73 0.6× 206 1.7× 109 1.5× 58 0.9× 39 0.7× 26 462
Xin Shu China 14 99 0.8× 170 1.4× 118 1.7× 59 0.9× 29 0.5× 43 540
Yanjuan Hou China 12 77 0.6× 310 2.6× 83 1.2× 68 1.0× 101 1.7× 20 663
Maria Vulf Russia 12 91 0.7× 144 1.2× 117 1.6× 43 0.7× 26 0.4× 36 362
Deidre A. Winnier United States 7 90 0.7× 195 1.7× 85 1.2× 79 1.2× 26 0.4× 7 424
Shilu Luo China 13 99 0.8× 307 2.6× 127 1.8× 43 0.7× 49 0.8× 36 620
Yao Pan China 4 90 0.7× 219 1.9× 52 0.7× 14 0.2× 41 0.7× 7 440
Bihua Feng United States 7 117 0.9× 156 1.3× 88 1.2× 55 0.8× 22 0.4× 8 385

Countries citing papers authored by Lexiang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lexiang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lexiang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Lexiang Yu. A scholar is included among the top collaborators of Lexiang Yu 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 Lexiang Yu. Lexiang Yu 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.
Wang, Yuxin, Zhien Feng, & Lexiang Yu. (2025). The next frontier in metabolic health: Cagrilintide-Semaglutide and the evolving landscape of therapies. 3(3). 100150–100150. 1 indexed citations
2.
Ge, Jian, Lexiang Yu, Zhongzhi Wu, et al.. (2024). Small molecule conjugates with selective estrogen receptor β agonism promote anti-aging benefits in metabolism and skin recovery. Acta Pharmaceutica Sinica B. 14(5). 2137–2152. 2 indexed citations
3.
Yu, Lexiang, Qianfen Wan, Qiongming Liu, et al.. (2024). IgG is an aging factor that drives adipose tissue fibrosis and metabolic decline. Cell Metabolism. 36(4). 793–807.e5. 47 indexed citations
4.
Zhou, Qiuzhong, Lexiang Yu, Joshua R. Cook, Li Qiang, & Lei Sun. (2023). Deciphering the decline of metabolic elasticity in aging and obesity. Cell Metabolism. 35(9). 1661–1671.e6. 32 indexed citations
5.
He, Ying, Ruotong Zhang, Lexiang Yu, et al.. (2023). PPARγ Acetylation in Adipocytes Exacerbates BAT Whitening and Worsens Age-Associated Metabolic Dysfunction. Cells. 12(10). 1424–1424. 15 indexed citations
6.
Yu, Lexiang, et al.. (2023). A glimpse of the connection between PPARγ and macrophage. Frontiers in Pharmacology. 14. 1254317–1254317. 21 indexed citations
7.
Wan, Qianfen, Tianyu Li, Lexiang Yu, et al.. (2022). Polycationic PAMAM ameliorates obesity-associated chronic inflammation and focal adiposity. Biomaterials. 293. 121850–121850. 18 indexed citations
8.
He, Ying, et al.. (2022). Acetylation of PPARγ in macrophages promotes visceral fat degeneration in obesity. PubMed. 1(3). 258–269. 9 indexed citations
9.
He, Ying, Lexiang Yu, Yifan Yao, et al.. (2022). PPARγ Acetylation Orchestrates Adipose Plasticity and Metabolic Rhythms. Advanced Science. 10(2). e2204190–e2204190. 24 indexed citations
10.
Kraakman, Michael J., Qiuzhong Zhou, Qiongming Liu, et al.. (2021). Adipsin promotes bone marrow adiposity by priming mesenchymal stem cells. eLife. 10. 50 indexed citations
11.
Andrisse, Stanley, Mingxiao Feng, Lexiang Yu, et al.. (2021). Androgen‐induced insulin resistance is ameliorated by deletion of hepatic androgen receptor in females. The FASEB Journal. 35(10). e21921–e21921. 25 indexed citations
12.
Liu, Longhua, Michelle Chan, Lexiang Yu, Weidong Wang, & Li Qiang. (2020). Adipsin deficiency does not impact atherosclerosis development in Ldlr−/− mice. American Journal of Physiology-Endocrinology and Metabolism. 320(1). E87–E92. 13 indexed citations
13.
Xu, Yunyun, Lexiang Yu, Chuangli Hao, et al.. (2019). Plasma soluble B7-H3 levels for severity evaluation in pediatric patients with Mycoplasma pneumoniae pneumonia. International Immunopharmacology. 73. 163–171. 7 indexed citations
14.
Wang, Yujing, Yao Chen, Lexiang Yu, et al.. (2019). Formaldehyde produced from d-ribose under neutral and alkaline conditions. Toxicology Reports. 6. 298–304. 9 indexed citations
15.
Chen, Yao, Lexiang Yu, Wei Yan, et al.. (2019). D-ribose increases triglyceride via upregulation of DGAT in the liver. Science China Life Sciences. 62(6). 858–861. 10 indexed citations
16.
Chen, Yao, Lexiang Yu, Yujing Wang, et al.. (2019). d-Ribose contributes to the glycation of serum protein. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(9). 2285–2292. 48 indexed citations
17.
Lyu, Jihui, Lexiang Yu, Yingge He, et al.. (2019). A Brief Study of the Correlation of Urine D-ribose with MMSE Scores of Patients with Alzheimer’s Disease and Cognitively Normal Participants. 4(1). 18–23. 6 indexed citations
18.
Wu, Beibei, Yujing Wang, Yao Chen, et al.. (2019). Ribosylation-Derived Advanced Glycation End Products Induce Tau Hyperphosphorylation Through Brain-Derived Neurotrophic Factor Reduction. Journal of Alzheimer s Disease. 71(1). 291–305. 25 indexed citations
19.
Yu, Lexiang, Yao Chen, Yong Xu, et al.. (2019). D-ribose is elevated in T1DM patients and can be involved in the onset of encephalopathy. Aging. 11(14). 4943–4969. 27 indexed citations
20.
Wu, Beibei, Lexiang Yu, Lu Yang, et al.. (2018). GRP78 protects CHO cells from ribosylation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1865(4). 629–637. 9 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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