Yilang Ke

754 total citations
14 papers, 547 citations indexed

About

Yilang Ke is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yilang Ke has authored 14 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yilang Ke's work include Gut microbiota and health (3 papers), Mitochondrial Function and Pathology (2 papers) and Adipose Tissue and Metabolism (2 papers). Yilang Ke is often cited by papers focused on Gut microbiota and health (3 papers), Mitochondrial Function and Pathology (2 papers) and Adipose Tissue and Metabolism (2 papers). Yilang Ke collaborates with scholars based in China and United States. Yilang Ke's co-authors include Huashan Hong, Xiaoyun Shi, Changjie Liu, Si Cheng, Lemin Zheng, Li Dang, Aiping Zeng, Bing Pan, Jia Liu and Mingming Zhao and has published in prestigious journals such as Free Radical Biology and Medicine, Arteriosclerosis Thrombosis and Vascular Biology and Advanced Science.

In The Last Decade

Yilang Ke

13 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yilang Ke China 8 334 222 116 57 51 14 547
Aiping Zeng China 3 301 0.9× 205 0.9× 114 1.0× 58 1.0× 26 0.5× 5 474
Si Cheng China 11 439 1.3× 306 1.4× 125 1.1× 75 1.3× 88 1.7× 34 830
Huashan Hong China 13 403 1.2× 248 1.1× 123 1.1× 65 1.1× 174 3.4× 31 789
Tiejun Li China 7 202 0.6× 139 0.6× 53 0.5× 28 0.5× 48 0.9× 11 382
Monica Spychala United States 6 326 1.0× 166 0.7× 78 0.7× 246 4.3× 26 0.5× 9 651
Aline C. Oliveira United States 13 176 0.5× 108 0.5× 34 0.3× 42 0.7× 138 2.7× 21 512
Qin Zeng China 10 175 0.5× 159 0.7× 41 0.4× 50 0.9× 25 0.5× 23 428
Caroline M. Larkin Ireland 5 330 1.0× 103 0.5× 119 1.0× 152 2.7× 12 0.2× 8 525
Jakeline Rheinheimer Brazil 15 267 0.8× 169 0.8× 32 0.3× 26 0.5× 63 1.2× 23 760

Countries citing papers authored by Yilang Ke

Since Specialization
Citations

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

Fields of papers citing papers by Yilang Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilang Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Yilang Ke. A scholar is included among the top collaborators of Yilang Ke 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 Yilang Ke. Yilang Ke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Xie, Wenhui, et al.. (2025). Gut microbiota remodelling alleviates elderly sepsis by microbiota-derived acetic acid via FFAR2/NLRP3 pathway. European Journal of Pharmacology. 1007. 178229–178229.
2.
Ke, Yilang, et al.. (2024). Loss of Endothelial Annexin A1 Aggravates Inflammation‐Induched Vascular Aging. Advanced Science. 11(15). e2307040–e2307040. 14 indexed citations
3.
Lin, Nan, et al.. (2024). The Monocyte-to-High-Density Lipoprotein Cholesterol Ratio as a Novel Predictor of the Prevalence of Senile Osteoporosis. Clinical Interventions in Aging. Volume 19. 1773–1788. 1 indexed citations
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Teng, Ying, et al.. (2023). Adropin inhibits the progression of atherosclerosis in ApoE-/-/Enho-/- mice by regulating endothelial-to-mesenchymal transition. Cell Death Discovery. 9(1). 402–402. 8 indexed citations
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7.
Zhang, Qi, Yilang Ke, & Huashan Hong. (2022). HDL and Lipid Metabolism. Advances in experimental medicine and biology. 1377. 49–61. 9 indexed citations
8.
Li, Qingqing, Wenhui Xie, Liping Li, et al.. (2021). Development and Validation of a Prediction Model for Elevated Arterial Stiffness in Chinese Patients With Diabetes Using Machine Learning. Frontiers in Physiology. 12. 714195–714195. 8 indexed citations
9.
Hu, Danqing, Guilin Chen, Huashan Hong, et al.. (2021). Adropin-based dual treatment enhances the therapeutic potential of mesenchymal stem cells in rat myocardial infarction. Cell Death and Disease. 12(6). 505–505. 17 indexed citations
10.
Xie, Wenhui, Yilang Ke, Jing Li, et al.. (2021). Single-Cell RNA Sequencing and Assay for Transposase-Accessible Chromatin Using Sequencing Reveals Cellular and Molecular Dynamics of Aortic Aging in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 42(2). 156–171. 27 indexed citations
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Ke, Yilang, Li Dang, Mingming Zhao, et al.. (2018). Gut flora-dependent metabolite Trimethylamine-N-oxide accelerates endothelial cell senescence and vascular aging through oxidative stress. Free Radical Biology and Medicine. 116. 88–100. 218 indexed citations
14.
Dang, Li, Yilang Ke, Rui Zhan, et al.. (2018). Trimethylamine‐N‐oxide promotes brain aging and cognitive impairment in mice. Aging Cell. 17(4). e12768–e12768. 232 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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2026