You‐Shuo Liu

2.7k total citations · 1 hit paper
63 papers, 2.0k citations indexed

About

You‐Shuo Liu is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, You‐Shuo Liu has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Physiology and 17 papers in Cancer Research. Recurrent topics in You‐Shuo Liu's work include Cancer-related molecular mechanisms research (13 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Cardiovascular Disease and Adiposity (7 papers). You‐Shuo Liu is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Cardiovascular Disease and Adiposity (7 papers). You‐Shuo Liu collaborates with scholars based in China, Canada and United Kingdom. You‐Shuo Liu's co-authors include Junkun Zhan, Yu‐Qing Ni, Hui Xu, Jieyu He, Xiao Lin, Pan Tan, Yanjiao Wang, Wuyang Huang, Jia‐Yu Zhong and Qunyan Xiang and has published in prestigious journals such as PLoS ONE, Annals of the New York Academy of Sciences and Nutrients.

In The Last Decade

You‐Shuo Liu

59 papers receiving 1.9k citations

Hit Papers

Roles and mechanisms of exosomal non-coding RNAs in human... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
You‐Shuo Liu China 27 1.1k 640 331 207 199 63 2.0k
Xiao‐Bo Liao China 24 834 0.7× 524 0.8× 104 0.3× 170 0.8× 158 0.8× 62 1.7k
Amrutesh S. Puranik United States 18 862 0.8× 270 0.4× 278 0.8× 234 1.1× 180 0.9× 33 1.9k
Swasti Tiwari India 28 1.2k 1.1× 320 0.5× 267 0.8× 98 0.5× 176 0.9× 97 2.2k
Christos Adamopoulos Greece 28 887 0.8× 227 0.4× 151 0.5× 186 0.9× 167 0.8× 57 2.0k
Dan Han China 14 1.7k 1.5× 1.1k 1.7× 172 0.5× 342 1.7× 185 0.9× 35 3.2k
Jianyun Yan China 26 1.2k 1.0× 329 0.5× 249 0.8× 171 0.8× 265 1.3× 52 2.1k
Zhousheng Xiao United States 35 1.9k 1.7× 287 0.4× 249 0.8× 90 0.4× 122 0.6× 69 3.4k
Arya Mani United States 29 1.3k 1.2× 305 0.5× 257 0.8× 232 1.1× 381 1.9× 66 2.6k
Xiaofeng Wu China 24 899 0.8× 430 0.7× 157 0.5× 339 1.6× 218 1.1× 105 2.0k
Hua Yue China 23 738 0.7× 137 0.2× 151 0.5× 81 0.4× 122 0.6× 106 1.7k

Countries citing papers authored by You‐Shuo Liu

Since Specialization
Citations

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

Fields of papers citing papers by You‐Shuo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by You‐Shuo Liu. 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 You‐Shuo Liu. The network helps show where You‐Shuo Liu may publish in the future.

Co-authorship network of co-authors of You‐Shuo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of You‐Shuo Liu. A scholar is included among the top collaborators of You‐Shuo Liu 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 You‐Shuo Liu. You‐Shuo Liu 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.
Liu, Le, Li‐Hui Chen, & You‐Shuo Liu. (2025). Epigenetic Regulation of Regulated Cell Death in Aging-Related Diseases: Clinical Perspectives. Aging and Disease.
2.
3.
Li, Shuang, Linsen Li, Yi Wang, et al.. (2023). Association of Serum Bilirubin Levels with Macro- and Microvascular Complications in Chinese People with Type 2 Diabetes Mellitus: New Insight on Gender Differences. Diabetes Metabolic Syndrome and Obesity. Volume 16. 597–606. 3 indexed citations
5.
Xiang, Qunyan, Hui Xu, Junkun Zhan, et al.. (2023). Association between the Triglyceride-Glucose Index and Vitamin D Status in Type 2 Diabetes Mellitus. Nutrients. 15(3). 639–639. 13 indexed citations
6.
Xu, Hui, Qunyan Xiang, Shuang Li, & You‐Shuo Liu. (2023). High serum Bhlhe40 levels are associated with subclinical atherosclerosis in patients with type 2 diabetes mellitus: A cross-sectional study. Diabetes and Vascular Disease Research. 20(2). 2033604748–2033604748. 3 indexed citations
8.
Li, Shuang, Yi Wang, Jieyu He, et al.. (2022). Analysis of the relationship between serum alanine aminotransferase and body composition in Chinese women. Aging Medicine. 5(2). 101–105. 2 indexed citations
9.
Zhao, Liping, You‐Shuo Liu, Hua Zhang, et al.. (2021). Otago exercise programme for physical function and mental health among older adults with cognitive frailty during COVID‐19: A randomised controlled trial. Journal of Clinical Nursing. 34(12). 5130–5143. 43 indexed citations
10.
Liu, Le, Yu‐Qing Ni, Junkun Zhan, & You‐Shuo Liu. (2021). The Role of SGLT2 Inhibitors in Vascular Aging. Aging and Disease. 12(5). 1323–1323. 32 indexed citations
11.
Zhong, Jia‐Yu, Junkun Zhan, Shuang Li, et al.. (2020). LncRNA‐ES3 inhibition by Bhlhe40 is involved in high glucose–induced calcification/senescence of vascular smooth muscle cells. Annals of the New York Academy of Sciences. 1474(1). 61–72. 26 indexed citations
12.
Lin, Xiao, Jia‐Yu Zhong, Shuang Li, et al.. (2020). Adiponectin attenuates the premature senescence of vascular smooth muscle cells induced by high glucose through mTOR signaling pathway. Aging Medicine. 3(3). 178–187. 12 indexed citations
13.
Lin, Xiao, et al.. (2020). Roles and Functions of Exosomal Non-coding RNAs in Vascular Aging. Aging and Disease. 11(1). 164–164. 43 indexed citations
14.
Ni, Yu‐Qing, Junkun Zhan, & You‐Shuo Liu. (2020). Roles and mechanisms of MFG-E8 in vascular aging-related diseases. Ageing Research Reviews. 64. 101176–101176. 33 indexed citations
15.
Li, Shuang, et al.. (2018). The analysis of correlation between frailty index and postoperative complications of aged patients with nodular goiter. Aging Medicine. 1(1). 18–22. 4 indexed citations
16.
Wang, Yanjiao, Yi Wang, Junkun Zhan, et al.. (2015). Sarco-Osteoporosis: Prevalence and Association with Frailty in Chinese Community-Dwelling Older Adults. International Journal of Endocrinology. 2015. 1–8. 94 indexed citations
17.
Zhan, Junkun, Pan Tan, Yanjiao Wang, et al.. (2014). Exenatide can inhibit calcification of human VSMCs through the NF-kappaB/RANKL signaling pathway. Cardiovascular Diabetology. 13(1). 153–153. 34 indexed citations
18.
Zhan, Junkun, Wuyang Huang, Yi Wang, et al.. (2013). Effects of Low-Dose Testosterone Undecanoate Treatment on Bone Mineral Density and Bone Turnover Markers in Elderly Male Osteoporosis with Low Serum Testosterone. International Journal of Endocrinology. 2013. 1–6. 25 indexed citations
19.
Zhu, Xiao, Yi Jiang, Peng‐Fei Shan, et al.. (2012). Vaspin attenuates the apoptosis of human osteoblasts through ERK signaling pathway. Amino Acids. 44(3). 961–968. 50 indexed citations
20.
Yuan, Ling‐Qing, Jiahua Zhu, Qiu-Hua Liang, et al.. (2011). RANKL Is a Downstream Mediator for Insulin-Induced Osteoblastic Differentiation of Vascular Smooth Muscle Cells. PLoS ONE. 6(12). e29037–e29037. 34 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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