Shasha Yu

3.3k total citations
127 papers, 2.2k citations indexed

About

Shasha Yu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Shasha Yu has authored 127 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cardiology and Cardiovascular Medicine, 32 papers in Endocrinology, Diabetes and Metabolism and 30 papers in Epidemiology. Recurrent topics in Shasha Yu's work include Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Cardiovascular Health and Risk Factors (18 papers) and Blood Pressure and Hypertension Studies (15 papers). Shasha Yu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Cardiovascular Health and Risk Factors (18 papers) and Blood Pressure and Hypertension Studies (15 papers). Shasha Yu collaborates with scholars based in China, United States and Hong Kong. Shasha Yu's co-authors include Xiaofan Guo, Liqiang Zheng, Yingxian Sun, Hongmei Yang, Xingang Zhang, Ying Zhou, Guozhe Sun, Zhao Li, Liang Guo and Hongmei Yang and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Shasha Yu

121 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shasha Yu China 26 630 527 496 444 245 127 2.2k
Elizabeth Lawler United States 27 642 1.0× 278 0.5× 203 0.4× 332 0.7× 352 1.4× 57 3.7k
Donald S. Fong United States 29 287 0.5× 564 1.1× 658 1.3× 234 0.5× 158 0.6× 75 5.0k
David Martins United States 24 375 0.6× 364 0.7× 198 0.4× 425 1.0× 325 1.3× 78 2.8k
Robyn J. Tapp Australia 36 1.3k 2.0× 509 1.0× 1.4k 2.8× 381 0.9× 271 1.1× 80 4.4k
Xiaodong Zhuang China 23 541 0.9× 184 0.3× 222 0.4× 124 0.3× 148 0.6× 197 2.1k
Sam Philip United Kingdom 36 307 0.5× 508 1.0× 1.6k 3.3× 247 0.6× 106 0.4× 77 4.2k
Hun‐Sung Kim South Korea 24 324 0.5× 278 0.5× 709 1.4× 275 0.6× 71 0.3× 141 2.3k
Alan S. Rigby United Kingdom 33 1.8k 2.8× 369 0.7× 697 1.4× 190 0.4× 185 0.8× 103 4.0k
Guy Fagherazzi France 34 190 0.3× 372 0.7× 617 1.2× 1.0k 2.3× 147 0.6× 183 3.6k
Chih‐Cheng Hsu Taiwan 23 201 0.3× 400 0.8× 671 1.4× 172 0.4× 247 1.0× 128 2.2k

Countries citing papers authored by Shasha Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shasha Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shasha Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shasha Yu. A scholar is included among the top collaborators of Shasha 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 Shasha Yu. Shasha 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.
Yu, Shasha, Bo Wang, Guangxiao Li, et al.. (2023). Habitual Tea Consumption Increases the Incidence of Metabolic Syndrome in Middle-Aged and Older Individuals. Nutrients. 15(6). 1448–1448. 4 indexed citations
2.
Ying, Liuhua, Shasha Yu, Xin Shen, & Qin Yan. (2023). Self-esteem moderates the effect of acute stresses on individuals' trust behaviors. Personality and Individual Differences. 215. 112376–112376. 2 indexed citations
3.
Yu, Shasha, Xiaofan Guo, Guangxiao Li, Hongmei Yang, & Yingxian Sun. (2023). Influence of Snoring on the Incidence of Metabolic Syndrome: A Community-Based Prospective Cohort Study in Rural Northeast China. Journal of Clinical Medicine. 12(2). 447–447. 1 indexed citations
4.
Wang, Pengbo, Wenhang Li, Zhao Li, et al.. (2023). The association between liver fibrosis scores and chronic kidney disease. Frontiers in Medicine. 10. 1046825–1046825. 2 indexed citations
5.
Li, Wenhang, Pengbo Wang, Zhao Li, et al.. (2022). Predictive Value of the Age, Creatinine, and Ejection Fraction (ACEF) Score in Cardiovascular Disease among Middle-Aged Population. Journal of Clinical Medicine. 11(22). 6609–6609. 1 indexed citations
6.
Wang, Pengbo, Qiyu Li, Xiaofan Guo, et al.. (2022). The Value of Hemoglobin Glycation Index–Diabetes Mellitus System in Evaluating and Predicting Incident Stroke in the Chinese Population. Journal of Clinical Medicine. 11(19). 5814–5814. 5 indexed citations
7.
Yu, Shasha, Xiaofan Guo, Guangxiao Li, et al.. (2022). Gender discrepancy in the predictive effect of aortic root diameter on incidence of cardiovascular events among rural Northeast Chinese. BMJ Open. 12(9). e039207–e039207. 1 indexed citations
8.
9.
Chen, Yanli, Guozhe Sun, Xiaofan Guo, et al.. (2021). Performance of a novel ECG criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general Chinese population. BMJ Open. 11(9). e051172–e051172. 5 indexed citations
10.
Chen, Yanli, Guangxiao Li, Xiaofan Guo, et al.. (2021). The Effects of Calculated Remnant-Like Particle Cholesterol on Incident Cardiovascular Disease: Insights from a General Chinese Population. Journal of Clinical Medicine. 10(15). 3388–3388. 19 indexed citations
11.
12.
Yu, Shasha, et al.. (2020). Evaluation of a New IOL Power Calculator in Cataract Patients with Normal and Long Axial Lengths. Seminars in Ophthalmology. 35(7-8). 370–376. 1 indexed citations
13.
Wu, Shaojun, Xiaofan Guo, Guozhe Sun, et al.. (2020). The associations between different sleep patterns and osteoporosis based on the Osteoporosis Self-Assessment Tool for Asians. Archives of Osteoporosis. 15(1). 164–164. 6 indexed citations
14.
Yu, Shasha, et al.. (2018). A retrospective study of 2228 cases with eyelid tumors. International Journal of Ophthalmology. 11(11). 1835–1841. 44 indexed citations
15.
Li, Hong, Shasha Yu, Rui Wang, et al.. (2017). Genetic Variant ofKalirinGene Is Associated with Ischemic Stroke in a Chinese Han Population. BioMed Research International. 2017. 1–10. 7 indexed citations
16.
Yu, Shasha, Hongmei Yang, Xiaofan Guo, Liqiang Zheng, & Yingxian Sun. (2016). Prevalence of Depression among Rural Residents with Diabetes Mellitus: A Cross-Sectional Study from Northeast China. International Journal of Environmental Research and Public Health. 13(6). 542–542. 11 indexed citations
17.
Yu, Shasha, Hongmei Yang, Xiaofan Guo, et al.. (2015). Prevalence of hyperuricemia and its correlates in rural Northeast Chinese population: from lifestyle risk factors to metabolic comorbidities. Clinical Rheumatology. 35(5). 1207–1215. 64 indexed citations
18.
Guo, Xiaofan, Shasha Yu, Li Zhao, et al.. (2015). Self‐reported sleep duration is associated with reduced glomerular filtration rate among adults with hypertension: a population‐based study from rural northeast C hina. Journal of Sleep Research. 24(3). 351–358. 27 indexed citations
19.
Guo, Xiaofan, Zhao Li, Liang Guo, et al.. (2014). An update on overweight and obesity in rural Northeast China: from lifestyle risk factors to cardiometabolic comorbidities. BMC Public Health. 14(1). 1046–1046. 38 indexed citations
20.
Cai, Jianming, et al.. (2000). Diffuse Unilateral Subacute Neuroretinitis in China. Archives of Ophthalmology. 118(5). 721–721. 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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