Wengen Zhu

3.9k total citations · 2 hit papers
131 papers, 2.4k citations indexed

About

Wengen Zhu is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Molecular Biology. According to data from OpenAlex, Wengen Zhu has authored 131 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Cardiology and Cardiovascular Medicine, 20 papers in Internal Medicine and 16 papers in Molecular Biology. Recurrent topics in Wengen Zhu's work include Atrial Fibrillation Management and Outcomes (62 papers), Cardiovascular Function and Risk Factors (35 papers) and Cardiac Arrhythmias and Treatments (29 papers). Wengen Zhu is often cited by papers focused on Atrial Fibrillation Management and Outcomes (62 papers), Cardiovascular Function and Risk Factors (35 papers) and Cardiac Arrhythmias and Treatments (29 papers). Wengen Zhu collaborates with scholars based in China, United States and United Kingdom. Wengen Zhu's co-authors include Jianyong Ma, Kui Hong, Linjuan Guo, Peng Yu, Yue Zhou, Rong Wan, Xiao Liu, Xiao Liu, Wenfeng He and Menglu Liu and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Wengen Zhu

116 papers receiving 2.4k citations

Hit Papers

Relationship between the triglyceride-glucose index and r... 2022 2026 2023 2024 2022 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wengen Zhu China 25 1.4k 392 336 297 266 131 2.4k
Faye L. Norby United States 32 2.1k 1.5× 268 0.7× 373 1.1× 360 1.2× 125 0.5× 154 2.9k
Paul N. Jensen United States 24 1.3k 0.9× 540 1.4× 296 0.9× 131 0.4× 189 0.7× 48 2.4k
Jeetesh V. Patel United Kingdom 24 903 0.6× 301 0.8× 316 0.9× 161 0.5× 330 1.2× 52 2.1k
Giulia Renda Italy 27 1.9k 1.3× 539 1.4× 600 1.8× 350 1.2× 276 1.0× 111 3.5k
Michele Correale Italy 24 1.5k 1.0× 188 0.5× 351 1.0× 107 0.4× 131 0.5× 186 2.2k
Pierre Fesler France 27 1.2k 0.9× 198 0.5× 268 0.8× 106 0.4× 296 1.1× 87 2.5k
Jan Westerink Netherlands 27 966 0.7× 277 0.7× 497 1.5× 204 0.7× 784 2.9× 131 2.7k
Deirdre A.M. van der Kuip Netherlands 17 2.3k 1.7× 174 0.4× 407 1.2× 269 0.9× 214 0.8× 18 3.3k
Domenico Scrutinio Italy 22 1.2k 0.8× 171 0.4× 223 0.7× 163 0.5× 97 0.4× 105 1.9k
Francesco Barillà Italy 25 1.5k 1.0× 265 0.7× 234 0.7× 105 0.4× 281 1.1× 152 2.4k

Countries citing papers authored by Wengen Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Wengen Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wengen Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Wengen Zhu. A scholar is included among the top collaborators of Wengen Zhu 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 Wengen Zhu. Wengen Zhu 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.
Liu, Xiao, Jitao Ling, Yi Hu, et al.. (2025). Association between metabolically healthy obesity and atrial fibrillation: A systematic review and meta-analysis of longitudinal studies. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 19(4). 103228–103228. 1 indexed citations
2.
Zhang, Jiancheng, Jiayong Li, Yu Ning, et al.. (2025). Inspecting the association between metabolic obese phenotypes and heart failure subtypes risk. American Journal of Preventive Cardiology. 25. 101365–101365.
4.
Ye, Min, Zexuan Wu, Chen Liu, et al.. (2025). Causal Associations Between Socioeconomic Status, Intelligence, Cognition and Atrial Fibrillation. JACC Asia. 5(8). 983–996.
5.
Zhu, Wengen, et al.. (2025). TREM2 in cardiovascular diseases: Mechanisms and therapeutic perspectives. Ageing Research Reviews. 109. 102774–102774.
6.
Yu, Xin, et al.. (2024). Direct Oral Anticoagulants for Treating Acute Venous Thromboembolism in Children: Meta-Analysis of Randomized Controlled Trials. Clinical and Applied Thrombosis/Hemostasis. 30. 3005452890–3005452890. 1 indexed citations
7.
Chen, Haibo, et al.. (2023). Association of living alone with clinical outcomes in patients with heart failure: A systematic review and meta‐analysis. Clinical Cardiology. 47(1). e24153–e24153. 2 indexed citations
8.
Zhao, Huilei, Ziqi Tan, Menglu Liu, et al.. (2023). Is There a Sex Difference in the Prognosis of Hypertrophic Cardiomyopathy? A Systematic Review and Meta‐Analysis. Journal of the American Heart Association. 12(11). e026270–e026270. 19 indexed citations
9.
Liu, Fuwei, Shaofeng Xie, Menglu Liu, et al.. (2023). Association between triglyceride glucose index and arterial stiffness and coronary artery calcification: a systematic review and exposure-effect meta-analysis. Cardiovascular Diabetology. 22(1). 111–111. 45 indexed citations
10.
Zhu, Zhongyu, Peng Yu, Yuying Wu, et al.. (2023). Sex Specific Global Burden of Osteoporosis in 204 Countries and Territories, from 1990 to 2030: An Age-Period-Cohort Modeling Study. The journal of nutrition health & aging. 27(9). 767–774. 35 indexed citations
11.
Zhao, Huilei, Shanshan Huang, Fuwei Liu, et al.. (2022). Prevalence of NSAID use among people with COVID‐19 and the association with COVID‐19‐related outcomes: Systematic review and meta‐analysis. British Journal of Clinical Pharmacology. 88(12). 5113–5127. 14 indexed citations
12.
Zhu, Wengen, Shilan Chen, Dexi Wu, et al.. (2021). Comparative Effectiveness and Safety of Non–Vitamin K Antagonist Oral Anticoagulants in Atrial Fibrillation Patients. Stroke. 52(4). 1225–1233. 38 indexed citations
14.
Chen, Chen, Ying Zheng, Yugang Dong, et al.. (2021). Effect of Rivaroxaban or Apixaban in Atrial Fibrillation Patients with Stage 4–5 Chronic Kidney Disease or on Dialysis. Cardiovascular Drugs and Therapy. 35(2). 273–281. 21 indexed citations
16.
Liu, Jian, Weihao Liang, Xin He, et al.. (2020). Major depression and clinical outcomes in patients with heart failure with preserved ejection fraction. European Journal of Clinical Investigation. 51(3). e13401–e13401. 9 indexed citations
17.
18.
Liu, Xin, et al.. (2019). Association of body mass index and all-cause mortality in patients after cardiac surgery: A dose-response meta-analysis. Nutrition. 72. 110696–110696. 15 indexed citations
19.
Yuan, Ping, Wengen Zhu, Yang Shen, Rong Wan, & Kui Hong. (2016). GW27-e0836 Association of smoking with the risk of incident atrial fibrillation: a meta-analysis of prospective studies. Journal of the American College of Cardiology. 68(16). C75–C76. 1 indexed citations
20.
Zhu, Wengen, Yumei Wei, Rina Su, et al.. (2016). The associations between early pregnancy lipid profiles and pregnancy outcomes. Journal of Perinatology. 37(2). 127–133. 45 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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