Yusong Ding

1.5k total citations · 1 hit paper
61 papers, 1.1k citations indexed

About

Yusong Ding is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Yusong Ding has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Molecular Biology and 19 papers in Epidemiology. Recurrent topics in Yusong Ding's work include Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Liver Disease Diagnosis and Treatment (15 papers) and Lipid metabolism and disorders (9 papers). Yusong Ding is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Liver Disease Diagnosis and Treatment (15 papers) and Lipid metabolism and disorders (9 papers). Yusong Ding collaborates with scholars based in China, United States and South Korea. Yusong Ding's co-authors include Shugang Li, Rulin Ma, Qiang Niu, Yizhong Yan, Shangzhi Xu, Shuxia Guo, Mei Zhang, Dongsheng Rui, Heng Guo and Jiaming Liu and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Scientific Reports.

In The Last Decade

Yusong Ding

58 papers receiving 1.1k citations

Hit Papers

Comparison of the effects of imputation methods for missi... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusong Ding China 19 247 242 188 177 174 61 1.1k
Yizhong Yan China 19 309 1.3× 334 1.4× 212 1.1× 120 0.7× 65 0.4× 87 1.1k
Shugang Li China 23 505 2.0× 146 0.6× 221 1.2× 74 0.4× 101 0.6× 100 1.5k
Qiang Niu China 21 321 1.3× 112 0.5× 115 0.6× 74 0.4× 140 0.8× 73 1.2k
Ayşe Eken Türkiye 21 339 1.4× 83 0.3× 99 0.5× 263 1.5× 232 1.3× 65 1.4k
Seungjoon Oh South Korea 21 355 1.4× 429 1.8× 122 0.6× 85 0.5× 47 0.3× 67 1.3k
Rulin Ma China 21 321 1.3× 283 1.2× 290 1.5× 119 0.7× 53 0.3× 91 1.3k
Shangzhi Xu China 18 175 0.7× 80 0.3× 103 0.5× 92 0.5× 151 0.9× 43 928
Nerea Larrañaga Spain 26 250 1.0× 146 0.6× 225 1.2× 563 3.2× 206 1.2× 55 2.2k
Songlin Yu China 20 287 1.2× 336 1.4× 95 0.5× 186 1.1× 165 0.9× 109 1.5k
Katarı́na Rašlová Slovakia 17 445 1.8× 389 1.6× 64 0.3× 98 0.6× 126 0.7× 46 1.6k

Countries citing papers authored by Yusong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yusong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusong Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yusong Ding. A scholar is included among the top collaborators of Yusong Ding 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 Yusong Ding. Yusong Ding 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.
Li, Tingting, et al.. (2025). SIRT1 Regulates Iron Metabolism to Attenuate β-Cell Dedifferentiation by Inhibiting FoxO1 Acetylation. Biological Trace Element Research. 204(1). 453–465.
3.
Chang, Bing, et al.. (2024). Mito-TEMPO Ameliorates Sodium Palmitate Induced Ferroptosis in MIN6 Cells through PINK1/Parkin-Mediated Mitophagy.. PubMed. 37(10). 1128–1141. 8 indexed citations
4.
Li, Haiyan, Haowei Zhang, Tongling Wang, et al.. (2024). Grape Seed Proanthocyanidins Protect Pancreatic β Cells Against Ferroptosis via the Nrf2 Pathway in Type 2 Diabetes. Biological Trace Element Research. 202(12). 5531–5544. 11 indexed citations
5.
Ma, Rulin, Yusong Ding, Dongsheng Rui, et al.. (2022). Updating Framingham CVD risk score using waist circumference and estimated cardiopulmonary function: a cohort study based on a southern Xinjiang population. BMC Public Health. 22(1). 1715–1715. 4 indexed citations
6.
Zhang, Xianghui, Yusong Ding, Jia He, et al.. (2021). Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China. Diabetes Metabolic Syndrome and Obesity. Volume 14. 1609–1620. 5 indexed citations
7.
He, Jia, Heng Guo, Rulin Ma, et al.. (2018). Study on the prevalence rate and optimal waist circumference cut-off points of obesity for the components of metabolic syndrome in Uygur from Xinjiang. Zhonghua neifenmi daixie zazhi. 34(3). 211–216. 1 indexed citations
8.
Niu, Qiang, Rulin Ma, Guanling Song, et al.. (2018). The Variable Regulatory Effect of Arsenic on Nrf2 Signaling Pathway in Mouse: a Systematic Review and Meta-analysis. Biological Trace Element Research. 190(2). 362–383. 11 indexed citations
9.
Yang, Wenwen, Rulin Ma, Xianghui Zhang, et al.. (2018). Comparison Between Metabolic Syndrome and the Framingham Risk Score as Predictors of Cardiovascular Diseases Among Kazakhs in Xinjiang. Scientific Reports. 8(1). 16474–16474. 18 indexed citations
10.
Wang, Xinping, Jia He, Heng Guo, et al.. (2017). Interactions of six SNPs in APOA1 gene and types of obesity on low HDL-C disease in Xinjiang pastoral area of China. Lipids in Health and Disease. 16(1). 187–187. 20 indexed citations
11.
J, Luo, et al.. (2015). [The association between smoking status and carotid artery plaque in rural areas of Eastern part of China].. PubMed. 49(3). 243–7. 1 indexed citations
12.
Ma, Rulin, Huiling Guo, Yusong Ding, et al.. (2015). Polymorphisms in the PPARγ gene and their association with metabolic syndrome in Uyghurs and Kazakhs from Xinjiang, China. Genetics and Molecular Research. 14(2). 6279–6288. 3 indexed citations
13.
He, Jianming, Yizhong Yan, Dongsheng Rui, et al.. (2015). Association between polymorphisms of fat mass and obesity-associated gene and metabolic syndrome in Kazakh adults of Xinjiang, China. Genetics and Molecular Research. 14(4). 14597–14606. 6 indexed citations
14.
Ding, Yusong, Shugang Li, Rulin Ma, et al.. (2015). Association of homeostasis model assessment of insulin resistance, adiponectin, and low-grade inflammation with the course of the metabolic syndrome. Clinical Biochemistry. 48(7-8). 503–507. 24 indexed citations
15.
Li, Shugang, Mengchuan Xu, Qiang Niu, et al.. (2015). Efficacy of Procyanidins against In Vivo Cellular Oxidative Damage: A Systematic Review and Meta-Analysis. PLoS ONE. 10(10). e0139455–e0139455. 55 indexed citations
16.
Ding, Yusong, Shuxia Guo, Rulin Ma, et al.. (2015). Association of Metabolic Syndrome with the Adiponectin to Homeostasis Model Assessment of Insulin Resistance Ratio. Mediators of Inflammation. 2015(1). 607364–607364. 18 indexed citations
17.
Luo, Cheng, Yan Zhang, Yusong Ding, et al.. (2014). Nut consumption and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a systematic review and meta-analysis. American Journal of Clinical Nutrition. 100(1). 256–269. 158 indexed citations
19.
Ding, Yusong, Rulin Ma, Heng Guo, et al.. (2013). Distribution and influencing factors of dyslipidemia in Uygur adults. Zhonghua neifenmi daixie zazhi. 29(8). 690–692. 1 indexed citations
20.
Li, Chunhui, Shuxia Guo, Rulin Ma, et al.. (2012). [The epidemic situation of metabolic syndrome among the Uygur in Kashgar of Xinjiang in 2010].. PubMed. 46(5). 419–23. 5 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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