Shi-Jian Chen

543 total citations
35 papers, 383 citations indexed

About

Shi-Jian Chen is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Shi-Jian Chen has authored 35 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Shi-Jian Chen's work include Cardiovascular Function and Risk Factors (6 papers), Heart Failure Treatment and Management (5 papers) and Acute Myocardial Infarction Research (5 papers). Shi-Jian Chen is often cited by papers focused on Cardiovascular Function and Risk Factors (6 papers), Heart Failure Treatment and Management (5 papers) and Acute Myocardial Infarction Research (5 papers). Shi-Jian Chen collaborates with scholars based in China, Sweden and South Korea. Shi-Jian Chen's co-authors include Xiaobo Pu, Fang‐Yang Huang, Bao‐Tao Huang, Chen Mao, Yi-Yue Gui, Tianli Xia, Yong Peng, Mao Chen, Yong Yang and Yunmao Huang and has published in prestigious journals such as The American Journal of Cardiology, Medicine and Clinica Chimica Acta.

In The Last Decade

Shi-Jian Chen

30 papers receiving 375 citations

Peers

Shi-Jian Chen
Seung-Yun Cho South Korea
Zuojun Xu China
Sarah Brix Germany
Tian-Yi Jing United States
Maxim Soloviev United States
D. Challoner United States
W. Loots Belgium
Xinhua Ye China
Seung-Yun Cho South Korea
Shi-Jian Chen
Citations per year, relative to Shi-Jian Chen Shi-Jian Chen (= 1×) peers Seung-Yun Cho

Countries citing papers authored by Shi-Jian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shi-Jian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi-Jian Chen. 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 Shi-Jian Chen. The network helps show where Shi-Jian Chen may publish in the future.

Co-authorship network of co-authors of Shi-Jian Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shi-Jian Chen. A scholar is included among the top collaborators of Shi-Jian Chen 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 Shi-Jian Chen. Shi-Jian Chen 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, Miao, et al.. (2025). iPO: Constant Liar Parameter Optimization for Placement with Representation and Transfer Learning. ACM Transactions on Design Automation of Electronic Systems. 31(3). 1–29.
3.
Li, Shengyu, et al.. (2022). Human urinary kallidinogenase may improve the prognosis of acute stroke patients with early neurological deterioration. Brain and Behavior. 12(3). e2524–e2524. 3 indexed citations
4.
Luo, Pei, Shi-Jian Chen, Xinliang Fu, et al.. (2021). Resveratrol sustains intestinal barrier integrity, improves antioxidant capacity, and alleviates inflammation in the jejunum of ducks exposed to acute heat stress. Poultry Science. 100(11). 101459–101459. 47 indexed citations
5.
Liu, Xiaojie, Fuxiao Wei, Meng Lv, et al.. (2021). The synergistic anti-depression effects of different efficacy groups of Xiaoyaosan as demonstrated by the integration of network pharmacology and serum metabolomics. Journal of Pharmaceutical and Biomedical Analysis. 197. 113949–113949. 25 indexed citations
6.
Li, Jing, et al.. (2021). Clinical features of intracerebral hemorrhage in patients with colorectal cancer and its underlying pathogenesis. World Journal of Gastrointestinal Oncology. 13(12). 2180–2189. 2 indexed citations
7.
Liu, Wenjun, et al.. (2020). Identification of recombination in novel goose parvovirus isolated from domesticated Jing-Xi partridge ducks in South China. Virus Genes. 56(5). 600–609. 10 indexed citations
8.
Huang, Fang‐Yang, Jialiang Zhang, Bao‐Tao Huang, et al.. (2020). Renal function as a predictor of outcomes in patients with hypertrophic cardiomyopathy: A cohort study of a hospitalized population. Clinica Chimica Acta. 512. 92–99. 6 indexed citations
9.
Huang, Fang‐Yang, et al.. (2020). Influence of Gender on Clinical Characteristics and Outcomes in Chinese Patients With Hypertrophic Cardiomyopathy. The American Journal of the Medical Sciences. 360(5). 517–524. 7 indexed citations
10.
Huang, Bao‐Tao, Yong Peng, Fang‐Yang Huang, et al.. (2017). Trends in prescribing rate of statins at discharge and modifiable factors in patients with atherosclerotic cardiovascular disease. Internal and Emergency Medicine. 12(8). 1121–1129. 7 indexed citations
11.
Huang, Fang‐Yang, Bao‐Tao Huang, Xiaobo Pu, et al.. (2017). CHADS2, CHA2DS2-VASc and R2CHADS2 scores predict mortality in patients with coronary artery disease. Internal and Emergency Medicine. 12(4). 479–486. 26 indexed citations
12.
Huang, Fang‐Yang, Yong Peng, Bao‐Tao Huang, et al.. (2016). The correlation between serum total bilirubin and outcomes in patients with different subtypes of coronary artery disease. Clinica Chimica Acta. 465. 101–105. 28 indexed citations
13.
Peng, Yong, Tianli Xia, Fang‐Yang Huang, et al.. (2016). Influence of Renal Insufficiency on the Prescription of Evidence-Based Medicines in Patients With Coronary Artery Disease and Its Prognostic Significance. Medicine. 95(6). e2740–e2740. 2 indexed citations
14.
Huang, Fang‐Yang, Yong Peng, Xuexue Deng, et al.. (2016). The influence of metabolic syndrome and diabetes mellitus on the N-terminal pro-B-type natriuretic peptide level and its prognostic performance in patients with coronary artery disease. Coronary Artery Disease. 28(2). 159–165. 2 indexed citations
15.
Gui, Yi-Yue, Fang‐Yang Huang, Bao‐Tao Huang, et al.. (2016). The effect of activated clotting time values for patients undergoing percutaneous coronary intervention: A systematic review and meta-analysis. Thrombosis Research. 144. 202–209. 3 indexed citations
16.
Huang, Fang‐Yang, Hua Wang, Bao‐Tao Huang, et al.. (2016). The influence of body composition on the N-terminal pro-B-type natriuretic peptide level and its prognostic performance in patients with acute coronary syndrome: a cohort study. Cardiovascular Diabetology. 15(1). 58–58. 10 indexed citations
17.
Peng, Yong, Yiming Li, Hua Chai, et al.. (2016). Understanding the controversy surrounding the correlation between fibrinogen level and prognosis of coronary artery disease—The role of the subtypes of coronary artery disease. International Journal of Cardiology. 222. 968–972. 2 indexed citations
18.
Huang, Fang‐Yang, Bao‐Tao Huang, Yong Peng, et al.. (2016). The influence of age on the clinical implications of N-terminal pro-B-type natriuretic peptide in acute coronary syndrome. Internal and Emergency Medicine. 11(8). 1077–1086. 4 indexed citations
19.
Huang, Bao‐Tao, Fang‐Yang Huang, Zhi‐Liang Zuo, et al.. (2015). Meta-Analysis of Relation Between Oral β-Blocker Therapy and Outcomes in Patients With Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention. The American Journal of Cardiology. 115(11). 1529–1538. 59 indexed citations
20.
Zhu, Xiaoying, et al.. (2008). H(2)S protects myocardium against ischemia/reperfusion injury and its effect on c-Fos protein expression in rats.. PubMed. 60(2). 221–7. 22 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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