Yingxian Sun

716 total citations
32 papers, 444 citations indexed

About

Yingxian Sun is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Yingxian Sun has authored 32 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 11 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Yingxian Sun's work include Cardiovascular Health and Disease Prevention (8 papers), Blood Pressure and Hypertension Studies (6 papers) and Cardiac Arrhythmias and Treatments (5 papers). Yingxian Sun is often cited by papers focused on Cardiovascular Health and Disease Prevention (8 papers), Blood Pressure and Hypertension Studies (6 papers) and Cardiac Arrhythmias and Treatments (5 papers). Yingxian Sun collaborates with scholars based in China, United States and United Kingdom. Yingxian Sun's co-authors include Zhi Du, Xiaofan Guo, Min Lin, Liying Xing, Zhao Li, Guozhe Sun, Shasha Yu, Liqiang Zheng, Wenrui Shi and Liang Guo and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and BMC Public Health.

In The Last Decade

Yingxian Sun

32 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingxian Sun China 12 208 147 99 54 46 32 444
Christopher Geven Netherlands 10 158 0.8× 174 1.2× 69 0.7× 113 2.1× 18 0.4× 11 516
Yong Hyun Kim South Korea 12 229 1.1× 128 0.9× 85 0.9× 29 0.5× 51 1.1× 47 452
Zhengrong Huang China 7 287 1.4× 83 0.6× 73 0.7× 76 1.4× 62 1.3× 18 520
Akihiko Sasaki Japan 9 116 0.6× 103 0.7× 136 1.4× 94 1.7× 42 0.9× 40 408
Ádám L. Jermendy Hungary 12 278 1.3× 96 0.7× 59 0.6× 43 0.8× 29 0.6× 42 544
Hongliang Cong China 12 341 1.6× 142 1.0× 220 2.2× 54 1.0× 31 0.7× 43 613
Rumi Fujikawa Japan 13 114 0.5× 96 0.7× 197 2.0× 77 1.4× 39 0.8× 24 474
Zhaoping Su China 14 167 0.8× 123 0.8× 130 1.3× 40 0.7× 35 0.8× 24 417
Jin-Yu Sun China 12 190 0.9× 82 0.6× 46 0.5× 82 1.5× 65 1.4× 43 481
K. Han South Korea 5 140 0.7× 73 0.5× 80 0.8× 33 0.6× 31 0.7× 6 318

Countries citing papers authored by Yingxian Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yingxian Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxian Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxian Sun. A scholar is included among the top collaborators of Yingxian Sun 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 Yingxian Sun. Yingxian Sun 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.
Wang, Chang, Zhi Du, Ning Ye, et al.. (2023). Prevalence and prognosis of atrial fibrillation in a hypertensive population: A prospective cohort study. Journal of Clinical Hypertension. 25(4). 335–342. 5 indexed citations
2.
Li, Wenhang, Pengbo Wang, Zhao Li, et al.. (2023). Predictive value of liver fibrosis scores in cardiovascular diseases among hypertensive population. Journal of Hypertension. 41(5). 741–750. 8 indexed citations
3.
Du, Zhi, et al.. (2022). Prognostic significance of first-degree atrioventricular block in a large Asian population: a prospective cohort study. BMJ Open. 12(4). e062005–e062005. 2 indexed citations
4.
Shi, Mengyao, Tanika N. Kelly, Zhengbao Zhu, et al.. (2022). Large‐Scale Targeted Sequencing Study of Ischemic Stroke in the Han Chinese Population. Journal of the American Heart Association. 11(19). e025245–e025245. 3 indexed citations
5.
Wang, Chang, et al.. (2022). Use of the Vascular Overload Index to Predict Cardiovascular Disease in a Rural Population of China. BioMed Research International. 2022(1). 5289122–5289122. 1 indexed citations
6.
Yu, Shasha, Xiaofan Guo, Guangxiao Li, et al.. (2021). Lymphocyte to High-Density Lipoprotein Ratio but Not Platelet to Lymphocyte Ratio Effectively Predicts Metabolic Syndrome Among Subjects From Rural China. Frontiers in Cardiovascular Medicine. 8. 583320–583320. 28 indexed citations
7.
Chen, Mengqi, Xiaofan Guo, Zhao Li, et al.. (2021). Combined effect of hypertension and hyperuricemia on ischemic stroke in a rural Chinese population. BMC Public Health. 21(1). 776–776. 14 indexed citations
8.
9.
Liu, Wenyan, Zongpeng Li, Yufan Wang, et al.. (2021). Aortic pressure waveform reconstruction using a multi-channel Newton blind system identification algorithm. Computers in Biology and Medicine. 135. 104545–104545. 4 indexed citations
10.
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
11.
Wang, Chang, Zhi Du, Ning Ye, et al.. (2020). Using the Atherogenic Index of Plasma to Estimate the Prevalence of Ischemic Stroke within a General Population in a Rural Area of China. BioMed Research International. 2020(1). 7197054–7197054. 23 indexed citations
12.
Du, Zhi, Boqiang Zhang, Min Lin, et al.. (2020). The epidemiology of atrial fibrillation in Chinese postmenopausal women and its association with age of menopause. Maturitas. 143. 151–156. 6 indexed citations
13.
Liu, Wenyang, et al.. (2019). Adaboost Based ECG Signal Quality Evaluation. Computing in Cardiology Conference. 1–4. 4 indexed citations
14.
Wu, Di, Yintao Chen, Haixia Guan, & Yingxian Sun. (2019). Association of abnormal serum electrolyte levels with hypertension in a population with high salt intake. Public Health Nutrition. 22(9). 1635–1645. 13 indexed citations
15.
Du, Zhi, Liying Xing, Min Lin, et al.. (2019). Prevalence of first-degree atrioventricular block and the associated risk factors: a cross-sectional study in rural Northeast China. BMC Cardiovascular Disorders. 19(1). 214–214. 8 indexed citations
16.
Guo, Xiaofan, Zhao Li, Ying Zhou, et al.. (2019). Metabolic Profile for Prediction of Ischemic Stroke in Chinese Hypertensive Population. Journal of Stroke and Cerebrovascular Diseases. 28(4). 1062–1069. 25 indexed citations
17.
Hu, Wenyu, et al.. (2018). Iroquois Homeodomain transcription factors in ventricular conduction system and arrhythmia. International Journal of Medical Sciences. 15(8). 808–815. 10 indexed citations
18.
Wang, Qian, et al.. (2018). Angiotensin II-induced Hypertension is Reduced by Deficiency of P-selectin Glycoprotein Ligand-1. Scientific Reports. 8(1). 3223–3223. 10 indexed citations
19.
Sun, Guozhe, Liang Guo, Xunzhang Wang, et al.. (2014). Prevalence of atrial fibrillation and its risk factors in rural China: A cross-sectional study. International Journal of Cardiology. 182. 13–17. 51 indexed citations
20.
Wei, Yidong, Ping Xie, Wenyue Pang, et al.. (2009). The relationship between the coronary sinus and coronary artery using multislice spiral computed tomography and conventional invasive angiography. International Journal of Cardiology. 137(3). 276–281. 4 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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