Yaoming Xue

5.3k total citations · 1 hit paper
159 papers, 3.2k citations indexed

About

Yaoming Xue is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Yaoming Xue has authored 159 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Endocrinology, Diabetes and Metabolism, 52 papers in Molecular Biology and 27 papers in Surgery. Recurrent topics in Yaoming Xue's work include Diabetic Foot Ulcer Assessment and Management (19 papers), Diabetes Treatment and Management (17 papers) and Chronic Kidney Disease and Diabetes (16 papers). Yaoming Xue is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (19 papers), Diabetes Treatment and Management (17 papers) and Chronic Kidney Disease and Diabetes (16 papers). Yaoming Xue collaborates with scholars based in China, United States and Denmark. Yaoming Xue's co-authors include Meiping Guan, Zongji Zheng, Yijie Jia, Cuihua Xie, Yanlin Yang, Fang Hu, Qian Zhang, Meng Xue, Fang Gao and Ling Wang and has published in prestigious journals such as New England Journal of Medicine, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Yaoming Xue

148 papers receiving 3.2k citations

Hit Papers

Calorie Restriction with ... 2022 2026 2023 2024 2022 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Yaoming Xue 1.3k 702 642 532 434 159 3.2k
Tatsuo Kawai 1.2k 0.9× 534 0.8× 756 1.2× 336 0.6× 188 0.4× 61 3.9k
Loredana Bucciarelli 941 0.7× 1.5k 2.1× 548 0.9× 175 0.3× 425 1.0× 46 4.5k
Jun Eguchi 1.3k 1.0× 587 0.8× 1.0k 1.6× 385 0.7× 290 0.7× 68 3.5k
László B. Tankó 1.1k 0.9× 734 1.0× 749 1.2× 261 0.5× 267 0.6× 96 4.7k
Gang He 1.9k 1.5× 504 0.7× 932 1.5× 532 1.0× 179 0.4× 139 4.7k
Aase Handberg 1.9k 1.5× 780 1.1× 1.2k 1.9× 311 0.6× 92 0.2× 138 3.9k
Karim Gariani 1.1k 0.9× 764 1.1× 890 1.4× 151 0.3× 136 0.3× 101 3.4k
Yongzhong Wei 1.4k 1.1× 1.0k 1.4× 1.4k 2.1× 248 0.5× 134 0.3× 57 4.1k
Carla Iacobini 1.2k 1.0× 616 0.9× 779 1.2× 176 0.3× 302 0.7× 64 3.5k
Ram K. Menon 1.1k 0.9× 1.5k 2.2× 607 0.9× 273 0.5× 291 0.7× 126 3.9k

Countries citing papers authored by Yaoming Xue

Since Specialization
Citations

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

Fields of papers citing papers by Yaoming Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoming Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoming Xue. A scholar is included among the top collaborators of Yaoming Xue 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 Yaoming Xue. Yaoming Xue 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.
Yang, Jiaqi, Ying Zhang, Kai Wei, et al.. (2025). ZnAl-LDH nanosheets/ Bi24O31Br10 S-scheme heterojunction toward boosted photocatalytic CO2 reduction. Separation and Purification Technology. 377. 134494–134494. 2 indexed citations
2.
Guo, Lei, Peili Wu, Qing Li, et al.. (2025). NUAK1 Promotes Diabetic Kidney Disease by Accelerating Renal Tubular Senescence via the ROS/P53 Axis. Diabetes. 74(12). 2405–2417.
3.
Dong, Wenhui, et al.. (2025). Polo‐like kinase2 regulates renal tubulointerstitial fibrosis via notch signaling pathway in diabetic kidney disease. The FASEB Journal. 39(5). e70455–e70455. 4 indexed citations
4.
Zhao, Sanping, Haiyang Zhang, Yongbing Zhu, et al.. (2025). Residual heavy metals and antibiotic pollution in abandoned breeding areas along the northeast coast of Hainan Island, China. Marine Pollution Bulletin. 212. 117518–117518. 5 indexed citations
5.
Yang, Yanlin, Wenhui Dong, Wei He, et al.. (2024). DeSUMOylation of RBMX regulates exosomal sorting of cargo to promote renal tubulointerstitial fibrosis in diabetic kidney disease. Journal of Advanced Research. 74. 175–189. 5 indexed citations
6.
Shi, Lixin, Yaoming Xue, Xuefeng Yu, et al.. (2024). Prevalence and Risk Factors of Chronic Kidney Disease in Patients With Type 2 Diabetes in China: Cross-Sectional Study. JMIR Public Health and Surveillance. 10. e54429–e54429. 2 indexed citations
7.
Wang, Yanfei, Xiaoyu Xiao, Xiaozhou Wang, et al.. (2023). Hepatocyte nuclear factor 1B deletion, but not intragenic mutation, might be more susceptible to hypomagnesemia. Journal of Diabetes Investigation. 15(1). 121–130. 2 indexed citations
8.
Li, Haolong, Fan Ping, Zhihong Wang, et al.. (2023). COVID-19 vaccine coverage, safety, and perceptions among patients with diabetes mellitus in China: a cross-sectional study. Frontiers in Endocrinology. 14. 1172089–1172089. 4 indexed citations
9.
Jia, Yijie, Jiaqi Chen, Shuting Zhang, et al.. (2022). Tubular epithelial cell-derived extracellular vesicles induce macrophage glycolysis by stabilizing HIF-1α in diabetic kidney disease. Molecular Medicine. 28(1). 95–95. 41 indexed citations
10.
Xue, Meng, Feng Yang, Yanlin Yang, et al.. (2021). Klotho protects against diabetic kidney disease via AMPK- and ERK-mediated autophagy. Acta Diabetologica. 58(10). 1413–1423. 35 indexed citations
11.
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
12.
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
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.
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
16.
Duan, Peng, et al.. (2016). Gene Polymorphisms in the RANKL/RANK/OPG Pathway Are Associated with Type 2 Diabetes Mellitus in Southern Han Chinese Women. Genetic Testing and Molecular Biomarkers. 20(6). 285–290. 6 indexed citations
17.
Li, Hui, et al.. (2014). [Value of plasma growth differentiation factor-15 in diagnosis and evaluation of type 2 diabetic nephropathy].. PubMed. 34(3). 387–90. 10 indexed citations
18.
Liu, Qiang, et al.. (2013). Ficolin-A Enhances Inhibition of the C-Terminal 19 kDa Re-gion of Merozoite Surface Protein-1 of Plasmodium berghei Using Test In Vivo. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Xue, Yaoming, et al.. (2011). [The relationship between oxidative injury induced by low glucose and mitochondrial membrane potential in HUVEC-12 cells].. PubMed. 50(10). 873–6. 1 indexed citations
20.
Bi, Yan, Jinhua Yan, Zhihong Liao, et al.. (2008). Inadequate glycaemic control and antidiabetic therapy among inpatients with type 2 diabetes in Guangdong Province of China. Chinese Medical Journal. 121(8). 677–681. 8 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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