Chenxi Song

2.0k total citations
99 papers, 1.3k citations indexed

About

Chenxi Song is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chenxi Song has authored 99 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cardiology and Cardiovascular Medicine, 33 papers in Surgery and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chenxi Song's work include Acute Myocardial Infarction Research (33 papers), Coronary Interventions and Diagnostics (19 papers) and Cardiac Imaging and Diagnostics (16 papers). Chenxi Song is often cited by papers focused on Acute Myocardial Infarction Research (33 papers), Coronary Interventions and Diagnostics (19 papers) and Cardiac Imaging and Diagnostics (16 papers). Chenxi Song collaborates with scholars based in China, United States and Australia. Chenxi Song's co-authors include Kefei Dou, Ming-Jia Li, Wen‐Quan Tao, Sheng Yuan, Dong Yin, Ya‐Ling He, Jining He, Ya‐Ling He, Wen-Quan Tao and Fan Zhang and has published in prestigious journals such as Journal of the American College of Cardiology, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Chenxi Song

94 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenxi Song China 19 367 201 192 169 159 99 1.3k
Kazuya Murata Japan 29 776 2.1× 144 0.7× 381 2.0× 81 0.5× 435 2.7× 176 2.8k
Chih‐Yu Yang Taiwan 27 399 1.1× 210 1.0× 482 2.5× 64 0.4× 289 1.8× 137 2.4k
Fahad Javed United States 17 191 0.5× 414 2.1× 79 0.4× 208 1.2× 40 0.3× 51 1.4k
Shuaiqi Zhang China 18 244 0.7× 44 0.2× 105 0.5× 50 0.3× 121 0.8× 80 1.0k
Jung Chan Lee South Korea 20 37 0.1× 91 0.5× 247 1.3× 160 0.9× 75 0.5× 100 1.5k
Zhong Ye United States 24 518 1.4× 151 0.8× 656 3.4× 41 0.2× 337 2.1× 94 2.1k
Huei‐Ming Yeh Taiwan 23 572 1.6× 134 0.7× 367 1.9× 191 1.1× 31 0.2× 98 1.8k
Qi Hua China 20 395 1.1× 104 0.5× 140 0.7× 32 0.2× 210 1.3× 89 1.3k
Song Chen China 22 164 0.4× 74 0.4× 166 0.9× 18 0.1× 196 1.2× 91 1.9k
Carlo Bartoli United States 26 556 1.5× 212 1.1× 794 4.1× 51 0.3× 98 0.6× 142 2.0k

Countries citing papers authored by Chenxi Song

Since Specialization
Citations

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

Fields of papers citing papers by Chenxi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenxi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chenxi Song. A scholar is included among the top collaborators of Chenxi Song 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 Chenxi Song. Chenxi Song 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.
Shi, Shanshan, et al.. (2025). Association of high-density lipoprotein cholesterol with the top 10 causes of death. European Journal of Preventive Cardiology. 1 indexed citations
2.
Wang, Haoyu, Chenxi Song, 正 石橋, et al.. (2025). Optimizing Long-term Cardiovascular Risk Stratification: Integrating Biomarkers into the Very High-Risk ASCVD Definition in Asian Patients. American Journal of Preventive Cardiology. 22. 100965–100965. 3 indexed citations
3.
4.
Liu, Shuai, Qianqian Liu, Rui Zhang, et al.. (2025). Clinical implication of NT-proBNP to predict mortality in patients with acute type A aortic dissection: a retrospective cohort study. BMJ Open. 15(1). e093757–e093757.
5.
6.
Song, Chenxi, et al.. (2024). J-shaped association between apolipoprotein B and CV outcomes in statin-treated patients with chronic coronary syndrome. Revista Española de Cardiología (English Edition). 78(5). 404–413.
7.
Zheng, Zhihao, Shanshan Shi, Yanjun Song, et al.. (2024). The Predictive and Prognostic Value of the Systemic Immune-Inflammation Index for Congestive Heart Failure. Reviews in Cardiovascular Medicine. 25(11). 417–417. 1 indexed citations
8.
Song, Yanjun, Jinpeng Liu, Rui Zhang, et al.. (2023). Time Trends of Etiology, Treatment, and Long-Term Outcomes Among Patients with Left Ventricular Thrombus. Reviews in Cardiovascular Medicine. 24(10). 298–298.
9.
Zhang, Rui, Chenxi Song, Kongyong Cui, et al.. (2023). Impacts of Diabetes Mellitus on Cardiovascular Outcomes and Differential Effects of Direct Oral Anticoagulants in Patients with Left Ventricular Thrombus. Reviews in Cardiovascular Medicine. 24(3). 65–65. 3 indexed citations
10.
Yuan, Sheng, Chenxi Song, Jining He, et al.. (2023). Trends in cardiovascular risk factors control among US adults by glycemic statuses, 2007–2018. European Journal of Preventive Cardiology. 30(14). 1513–1523. 4 indexed citations
11.
He, Jining, Chenxi Song, Rui Zhang, et al.. (2022). High neutrophil to lymphocyte ratio with type 2 diabetes mellitus predicts poor prognosis in patients undergoing percutaneous coronary intervention: a large-scale cohort study. Cardiovascular Diabetology. 21(1). 156–156. 47 indexed citations
12.
Wang, Haoyu, et al.. (2022). WIDESPREAD OFF-LABEL USE OF DIRECT ORAL ANTICOAGULANTS IN PATIENTS WITH LEFT VENTRICULAR THROMBUS. Journal of the American College of Cardiology. 79(9). 1028–1028. 2 indexed citations
13.
Han, Xu, Chenxi Song, Bo Xu, et al.. (2020). A Scoring System to Predict No-Reflow Phenomenon in Elective Percutaneous Coronary Intervention: The RECOVER Score. Current Problems in Cardiology. 46(3). 100676–100676. 3 indexed citations
14.
15.
Song, Chenxi, Rui Fu, Jingang Yang, et al.. (2019). Angiographic characteristics and in-hospital mortality among patients with ST-segment elevation myocardial infarction presenting without typical chest pain. Chinese Medical Journal. 132(19). 2286–2291. 7 indexed citations
16.
Fu, Rui, Chenxi Song, Kefei Dou, et al.. (2019). Differences in symptoms and pre-hospital delay among acute myocardial infarction patients according to ST-segment elevation on electrocardiogram. Chinese Medical Journal. 132(5). 519–524. 19 indexed citations
17.
Song, Chenxi, Rui Fu, Kefei Dou, et al.. (2018). The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients. Scientific Reports. 8(1). 9082–9082. 14 indexed citations
18.
19.
Li, Yi‐Ping, Dong Zhang, Chenxi Song, et al.. (2017). Investigation of novel metabolites potentially involved in the pathogenesis of coronary heart disease using a UHPLC-QTOF/MS-based metabolomics approach. Scientific Reports. 7(1). 15357–15357. 43 indexed citations
20.
Zhang, Siqin, et al.. (2016). Lower prevalence of proliferative diabetic retinopathy in elderly onset patients with diabetes. Diabetes Research and Clinical Practice. 125. 47–52. 7 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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