Chunyu Ruan

751 total citations · 1 hit paper
14 papers, 546 citations indexed

About

Chunyu Ruan is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Chunyu Ruan has authored 14 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Epidemiology. Recurrent topics in Chunyu Ruan's work include Cardiovascular Health and Disease Prevention (6 papers), Blood Pressure and Hypertension Studies (6 papers) and Nutritional Studies and Diet (4 papers). Chunyu Ruan is often cited by papers focused on Cardiovascular Health and Disease Prevention (6 papers), Blood Pressure and Hypertension Studies (6 papers) and Nutritional Studies and Diet (4 papers). Chunyu Ruan collaborates with scholars based in China, United States and Canada. Chunyu Ruan's co-authors include Shouling Wu, Yuntao Wu, Cheng Jin, Kuibao Li, Haiyan Zhao, Jun Cai, Li Chen, Xinchun Yang, Zhengrong Huang and Anxing Wang and has published in prestigious journals such as Stroke, Scientific Reports and Heart.

In The Last Decade

Chunyu Ruan

13 papers receiving 535 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prevalence of Ideal Cardiovascular Health and Its Relationship With the 4-Year Cardiovascular Events in a Northern Chinese Industrial City

2012 342 citations Shouling Wu, Zhengrong Huang et al. Circulation Cardiovascular Quality and Outcomes profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chunyu Ruan China	7	388	115	108	77	54	14	546
Marie Jozífová Czechia	11	282 0.7×	119 1.0×	73 0.7×	97 1.3×	66 1.2×	19	502
Zegui Huang China	12	220 0.6×	166 1.4×	230 2.1×	60 0.8×	57 1.1×	27	504
Ebenezer Oni United States	12	296 0.8×	460 4.0×	268 2.5×	51 0.7×	31 0.6×	26	753
Xiaoguang Wu China	12	114 0.3×	92 0.8×	52 0.5×	45 0.6×	75 1.4×	26	358
Indrė Čeponienė Lithuania	13	212 0.5×	50 0.4×	68 0.6×	57 0.7×	52 1.0×	26	470
Bjørn Mørkedal Norway	11	288 0.7×	82 0.7×	107 1.0×	107 1.4×	34 0.6×	13	528
Zefeng Cai China	13	245 0.6×	152 1.3×	248 2.3×	49 0.6×	50 0.9×	29	503
Yulong Lan China	12	177 0.5×	132 1.1×	197 1.8×	37 0.5×	23 0.4×	32	378
Zhi Du China	9	142 0.4×	74 0.6×	71 0.7×	59 0.8×	34 0.6×	20	293

Countries citing papers authored by Chunyu Ruan

Since Specialization

Citations

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

Fields of papers citing papers by Chunyu Ruan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyu Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyu Ruan. A scholar is included among the top collaborators of Chunyu Ruan 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 Chunyu Ruan. Chunyu Ruan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Wang, Yanxiu, Jiangshui Wang, Jun Feng, et al.. (2025). Modifiable factors and 10-year and lifetime cardiovascular disease risk in adults with new-onset hypertension: insights from the Kailuan cohort. BMC Medicine. 23(1). 80–80. 1 indexed citations

Wu, Shouling, Yuntao Wu, Yi Ning, et al.. (2025). Modifiable Factors and 10‐Year and Lifetime Risk of Cardiovascular Disease in Adults With New‐Onset Diabetes: The Kailuan Cohort Study. Journal of the American Heart Association. 14(16). e041223–e041223. 1 indexed citations

Ruan, Chunyu, et al.. (2022). Subclinical Atherosclerosis Could Increase the Risk of Hearing Impairment in Males: A Community-Based Cross-Sectional Survey of the Kailuan Study. Frontiers in Neuroscience. 16. 813628–813628. 1 indexed citations

Han, Xu, Qian Liu, Yihan Ma, et al.. (2021). Effects of Fasting Blood Glucose on the Progression of Arterial Stiffness in Nondiabetic Population. American Journal of Hypertension. 34(10). 1125–1125.

Jin, Cheng, Guohong Li, Kathryn M. Rexrode, et al.. (2017). Prospective Study of Fasting Blood Glucose and Intracerebral Hemorrhagic Risk. Stroke. 49(1). 27–33. 41 indexed citations

Wang, Yang, Yuling Yang, Anxin Wang, et al.. (2016). Association of long-term blood pressure variability and brachial-ankle pulse wave velocity: a retrospective study from the APAC cohort. Scientific Reports. 6(1). 21303–21303. 15 indexed citations

Wang, Anxin, Zhifang Li, Yuling Yang, et al.. (2016). Impact of baseline systolic blood pressure on visit-to-visit blood pressure variability: the Kailuan study. Therapeutics and Clinical Risk Management. Volume 12. 1191–1196. 1 indexed citations

Wang, Anxin, Xiaoxue Liu, Zhaoping Su, et al.. (2016). No Association Between High-Sensitivity C-Reactive Protein and Carotid Intima-Media Progression: The APAC Study. Journal of Stroke and Cerebrovascular Diseases. 26(2). 252–259. 7 indexed citations

Zheng, Xiaoming, Cheng Jin, Jing Zhang, et al.. (2015). Arterial Stiffness as a Predictor of Clinical Hypertension. Journal of Clinical Hypertension. 17(8). 582–591. 42 indexed citations

10.

Cao, Huijun, Shouling Wu, Shuqiang Li, et al.. (2014). Characterization and influencing factors of visit-to-visit blood pressure variability of the population in a northern Chinese industrial city. Chinese Medical Journal. 127(6). 1022–1026. 3 indexed citations

11.

Jiang, Xiongjing, Xiaoxue Liu, Shouling Wu, et al.. (2014). Metabolic syndrome is associated with and predicted by resting heart rate: a cross-sectional and longitudinal study. Heart. 101(1). 44–49. 53 indexed citations

12.

Wu, Shouling, Zhengrong Huang, Xinchun Yang, et al.. (2012). Prevalence of Ideal Cardiovascular Health and Its Relationship With the 4-Year Cardiovascular Events in a Northern Chinese Industrial City. Circulation Cardiovascular Quality and Outcomes. 5(4). 487–493. 342 indexed citations breakdown →

13.

Wu, Shouling, Zhengrong Huang, Xinchun Yang, et al.. (2012). Cardiovascular events in a prehypertensive Chinese population: Four-year follow-up study. International Journal of Cardiology. 167(5). 2196–2199. 33 indexed citations

14.

Wu, Shouling, Jinfeng Li, Yun Li, et al.. (2010). [The distribution and influential factors of serum high sensitivity C-reactive protein in general population].. PubMed. 49(12). 1010–4. 6 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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