Xing‐hui Shao

801 total citations
54 papers, 480 citations indexed

About

Xing‐hui Shao is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Epidemiology. According to data from OpenAlex, Xing‐hui Shao has authored 54 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cardiology and Cardiovascular Medicine, 5 papers in Internal Medicine and 4 papers in Epidemiology. Recurrent topics in Xing‐hui Shao's work include Atrial Fibrillation Management and Outcomes (38 papers), Cardiac Arrhythmias and Treatments (17 papers) and Acute Myocardial Infarction Research (14 papers). Xing‐hui Shao is often cited by papers focused on Atrial Fibrillation Management and Outcomes (38 papers), Cardiac Arrhythmias and Treatments (17 papers) and Acute Myocardial Infarction Research (14 papers). Xing‐hui Shao collaborates with scholars based in China, United Kingdom and Brazil. Xing‐hui Shao's co-authors include Juan Wang, Jun Zhu, Han Zhang, Shuang Wu, Yanmin Yang, Bi Huang, Yanmin Yang, Yanmin Yang, Shuang Wu and Wei Xu and has published in prestigious journals such as The American Journal of Cardiology, Medicine and Environmental Science and Pollution Research.

In The Last Decade

Xing‐hui Shao

50 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing‐hui Shao China 12 378 77 63 58 53 54 480
Do Young Kim South Korea 13 379 1.0× 44 0.6× 45 0.7× 25 0.4× 81 1.5× 26 497
Stamatis S. Makrygiannis Greece 11 261 0.7× 31 0.4× 56 0.9× 28 0.5× 77 1.5× 20 389
Ömer Gedikli Türkiye 14 299 0.8× 50 0.6× 71 1.1× 18 0.3× 61 1.2× 35 390
İlhan İlker Avcı Türkiye 11 157 0.4× 41 0.5× 61 1.0× 25 0.4× 36 0.7× 29 312
Alparslan Kılıç Türkiye 12 325 0.9× 55 0.7× 103 1.6× 41 0.7× 75 1.4× 31 496
Zhijun Sun China 12 166 0.4× 30 0.4× 57 0.9× 50 0.9× 35 0.7× 36 353
Anil Duggal United States 12 223 0.6× 149 1.9× 40 0.6× 48 0.8× 32 0.6× 27 452
Gündüz Durmuş Türkiye 11 233 0.6× 85 1.1× 99 1.6× 22 0.4× 47 0.9× 40 448
Kadriye Gayretli̇ Yayla Türkiye 11 175 0.5× 31 0.4× 74 1.2× 23 0.4× 29 0.5× 31 334
Fatih Öksüz Türkiye 16 287 0.8× 39 0.5× 105 1.7× 47 0.8× 46 0.9× 36 525

Countries citing papers authored by Xing‐hui Shao

Since Specialization
Citations

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

Fields of papers citing papers by Xing‐hui Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xing‐hui Shao. 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 Xing‐hui Shao. The network helps show where Xing‐hui Shao may publish in the future.

Co-authorship network of co-authors of Xing‐hui Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Xing‐hui Shao. A scholar is included among the top collaborators of Xing‐hui Shao 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 Xing‐hui Shao. Xing‐hui Shao 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
2.
Wu, Shuang, Yang Xu, Yang Chen, et al.. (2025). Changes in depressive symptoms as predictors of incident cardiovascular disease: insights from four prospective cohorts. European Journal of Preventive Cardiology.
3.
Zhang, Han, Juan Wang, Xing‐hui Shao, et al.. (2024). The Application of Artificial Intelligence in Atrial Fibrillation Patients: From Detection to Treatment. Reviews in Cardiovascular Medicine. 25(7). 257–257. 4 indexed citations
4.
Wu, Shuang, Yanmin Yang, Jun Zhu, et al.. (2024). Association between adherence to life’s simple 7 metrics and risk of obstructive sleep apnea among adults in the United States. BMC Psychiatry. 24(1). 560–560. 1 indexed citations
5.
Wu, Shuang, Yanmin Yang, Jun Zhu, et al.. (2023). Impact of hemoglobin adducts of ethylene oxide on the prevalence and prognosis of chronic kidney disease in US adults: an analysis from NHANES 2013–2016. Environmental Science and Pollution Research. 31(2). 2802–2812. 6 indexed citations
6.
Xu, Wei, Yanmin Yang, Jun Zhu, et al.. (2022). Impact of renin–angiotensin–aldosterone-system inhibitor drugs on mortality in patients with atrial fibrillation and hypertension. BMC Cardiovascular Disorders. 22(1). 141–141. 12 indexed citations
7.
8.
Wu, Shuang, Yanmin Yang, Jun Zhu, et al.. (2022). Impact of glycemic gap on 30-day adverse outcomes in patients with acute ST-segment elevation myocardial infarction. Atherosclerosis. 360. 34–41. 3 indexed citations
9.
Zhu, Jun, Juan Wang, Shuang Wu, et al.. (2022). Plasma Big Endothelin-1 Levels and Long-Term Outcomes in Patients With Atrial Fibrillation and Acute Coronary Syndrome or Undergoing Percutaneous Coronary Intervention. Frontiers in Cardiovascular Medicine. 9. 756082–756082. 3 indexed citations
10.
Xu, Wei, Yanmin Yang, Jun Zhu, et al.. (2022). Predictive value of the stress hyperglycemia ratio in patients with acute ST-segment elevation myocardial infarction: insights from a multi-center observational study. Cardiovascular Diabetology. 21(1). 48–48. 58 indexed citations
12.
Yang, Yanmin, Jun Zhu, Juan Wang, et al.. (2020). Association between body mass index and mortality in atrial fibrillation patients with and without diabetes mellitus: Insights from a multicenter registry study in China. Nutrition Metabolism and Cardiovascular Diseases. 30(12). 2242–2251. 4 indexed citations
13.
Wang, Juan, Yanmin Yang, Yang Li, et al.. (2018). Long‐term treatment with ivabradine in transgenic atrial fibrillation mice counteracts hyperpolarization‐activated cyclic nucleotide gated channel overexpression. Journal of Cardiovascular Electrophysiology. 30(2). 242–252. 11 indexed citations
14.
Wu, Shuang, Yanmin Yang, Jun Zhu, et al.. (2018). The association between plasma big endothelin-1 levels at admission and long-term outcomes in patients with atrial fibrillation. Atherosclerosis. 272. 1–7. 11 indexed citations
15.
Wu, Shuang, Yanmin Yang, Jun Zhu, et al.. (2017). Predictors of digoxin use and risk of mortality in ED patients with atrial fibrillation. The American Journal of Emergency Medicine. 35(11). 1589–1594. 6 indexed citations
16.
Wu, Shengjie, et al.. (2016). Impact of age on the association between body mass index and all-cause mortality in patients with atrial fibrillation. The journal of nutrition health & aging. 21(10). 1125–1132. 14 indexed citations
17.
Wu, Shuang, Yanmin Yang, Jun Zhu, et al.. (2015). Meta-Analysis of Efficacy and Safety of New Oral Anticoagulants Compared With Uninterrupted Vitamin K Antagonists in Patients Undergoing Catheter Ablation for Atrial Fibrillation. The American Journal of Cardiology. 117(6). 926–934. 42 indexed citations
18.
Yang, Yanmin, Jun Zhu, Bi Huang, et al.. (2015). The relationship between elevated red cell distribution width and long-term outcomes among patients with atrial fibrillation. Clinical Biochemistry. 48(12). 762–767. 30 indexed citations
19.
Yang, Yanmin, Jun Zhu, Xing‐hui Shao, et al.. (2015). The Prognostic Effects of Ventricular Heart Rate Among Patients With Permanent Atrial Fibrillation With and Without Coronary Artery Disease. Medicine. 94(22). e920–e920. 6 indexed citations
20.
Wang, Juan, Yanmin Yang, Jun Zhu, et al.. (2013). [The impact of hypertension history and baseline blood pressure levels on the cardiovascular outcomes in Chinese emergency atrial fibrillation patients].. PubMed. 41(11). 911–5.

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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