Junxian Song

1.7k total citations
60 papers, 1.3k citations indexed

About

Junxian Song is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Junxian Song has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Cardiology and Cardiovascular Medicine and 18 papers in Cancer Research. Recurrent topics in Junxian Song's work include MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (12 papers) and Cancer-related molecular mechanisms research (8 papers). Junxian Song is often cited by papers focused on MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (12 papers) and Cancer-related molecular mechanisms research (8 papers). Junxian Song collaborates with scholars based in China, Sweden and United Kingdom. Junxian Song's co-authors include Sufang Li, Chongyou Lee, Hong Chen, Jingyi Ren, Chengfu Cao, Qiang Geng, Ning Xu, Yuanfeng Gao, Yuxia Cui and Feng Zhang and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Junxian Song

50 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
Junxian Song China 20 671 423 298 193 130 60 1.3k
Liangdi Xie China 19 400 0.6× 102 0.2× 305 1.0× 141 0.7× 121 0.9× 112 1.1k
Longxian Cheng China 23 807 1.2× 156 0.4× 305 1.0× 135 0.7× 193 1.5× 68 1.5k
Thomas Rousselle United States 16 690 1.0× 105 0.2× 167 0.6× 176 0.9× 188 1.4× 25 1.1k
Danyan Xu China 22 952 1.4× 201 0.5× 880 3.0× 185 1.0× 158 1.2× 70 1.7k
Ming Bai China 17 555 0.8× 188 0.4× 142 0.5× 144 0.7× 108 0.8× 39 1.2k
Soudabeh Fallah Iran 21 389 0.6× 211 0.5× 173 0.6× 101 0.5× 188 1.4× 90 1.2k
Yidong Wei China 23 451 0.7× 133 0.3× 544 1.8× 304 1.6× 83 0.6× 93 1.6k
Alina Kuryłowicz Poland 27 408 0.6× 177 0.4× 125 0.4× 84 0.4× 495 3.8× 65 1.6k
Punithavathi Ranganathan United States 21 590 0.9× 192 0.5× 66 0.2× 108 0.6× 70 0.5× 25 1.2k
Shiuh‐Inn Liu Taiwan 20 246 0.4× 75 0.2× 52 0.2× 374 1.9× 57 0.4× 58 937

Countries citing papers authored by Junxian Song

Since Specialization
Citations

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

Fields of papers citing papers by Junxian Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junxian Song

This figure shows the co-authorship network connecting the top 25 collaborators of Junxian Song. A scholar is included among the top collaborators of Junxian 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 Junxian Song. Junxian 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
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Huang, Yan, Manyan Wu, Xiujuan Li, et al.. (2024). Bioinspired superwettable electrode towards sensitive detection of myocardial infarction-specific miRNA. Sensors and Actuators B Chemical. 419. 136365–136365. 4 indexed citations
4.
Song, Junxian, et al.. (2023). Evaluation of the Needs and Experiences of Patients with Hypertriglyceridemia: Social Media Listening Infosurveillance Study. Journal of Medical Internet Research. 25. e44610–e44610. 2 indexed citations
5.
Song, Junxian, et al.. (2022). Case Report: Familial Pseudohyperkalemia Due to Red Blood Cell Membrane Leak in a Chinese Patient. Frontiers in Medicine. 9. 825174–825174. 2 indexed citations
6.
Cui, Yuxia, et al.. (2022). Endothelial Microparticle-Mediated Transfer of microRNA-19b Inhibits the Function and Distribution of Lymphatic Vessels in Atherosclerotic Mice. Frontiers in Physiology. 13. 850298–850298. 2 indexed citations
7.
Chen, Qixin, et al.. (2021). Identification of monocyte-associated genes as predictive biomarkers of heart failure after acute myocardial infarction. BMC Medical Genomics. 14(1). 44–44. 23 indexed citations
8.
Li, Jie, Feng Ji, Junxian Song, et al.. (2020). Anxiety and clinical outcomes of patients with acute coronary syndrome: a meta-analysis. BMJ Open. 10(7). e034135–e034135. 32 indexed citations
9.
Lian, Zheng, Junxian Song, Sufang Li, et al.. (2020). Efficacy and safety of catheter-based renal denervation for heart failure with reduced ejection fraction: a systematic review and meta-analysis. Clinical Autonomic Research. 30(6). 521–530. 7 indexed citations
10.
Hu, Dan, Long Li, Sufang Li, et al.. (2019). Lymphatic system identification, pathophysiology and therapy in the cardiovascular diseases. Journal of Molecular and Cellular Cardiology. 133. 99–111. 28 indexed citations
11.
Lee, Chongyou, Yuxia Cui, Junxian Song, et al.. (2019). Effects of familial hypercholesterolemia-associated genes on the phenotype of premature myocardial infarction. Lipids in Health and Disease. 18(1). 95–95. 8 indexed citations
12.
Li, Long, Sufang Li, Manyan Wu, et al.. (2019). Early diagnostic value of circulating microRNAs in patients with suspected acute myocardial infarction. Journal of Cellular Physiology. 234(8). 13649–13658. 41 indexed citations
13.
Li, Changlong, Sufang Li, Feng Zhang, et al.. (2017). Endothelial microparticles-mediated transfer of microRNA-19b promotes atherosclerosis via activating perivascular adipose tissue inflammation in apoE−/− mice. Biochemical and Biophysical Research Communications. 495(2). 1922–1929. 49 indexed citations
14.
Zhang, Feng, Sufang Li, Junxian Song, et al.. (2017). Angiotensin-(1-7) regulates angiotensin II-induced matrix metalloproteinase-8 in vascular smooth muscle cells. Atherosclerosis. 261. 90–98. 10 indexed citations
15.
Geng, Qiang, et al.. (2016). GW27-e0365 A Meta-analysis of the efficacy and safety of adjunctive intra-aortic balloon pump in patients with acute myocardial infarction. Journal of the American College of Cardiology. 68(16). C81–C81. 1 indexed citations
16.
Gao, Yuanfeng, Junxian Song, Sufang Li, et al.. (2016). GW27-e0470 Mutations in SCAP and AGXT2 Revealed by Exome Sequencing in a Pedigree with Premature Myocardial Infarction. Journal of the American College of Cardiology. 68(16). C19–C20.
17.
Gao, Yuanfeng, Junxian Song, Hong Chen, Chengfu Cao, & Chongyou Lee. (2015). TRPV1 activation is involved in the cardioprotection of remote limb ischemic postconditioning in ischemia-reperfusion injury rats. Biochemical and Biophysical Research Communications. 463(4). 1034–1039. 37 indexed citations
18.
Li, Sufang, Jingyi Ren, Ning Xu, et al.. (2014). MicroRNA-19b functions as potential anti-thrombotic protector in patients with unstable angina by targeting tissue factor. Journal of Molecular and Cellular Cardiology. 75. 49–57. 61 indexed citations
19.
Li, Sufang, Jingyi Ren, Qiang Geng, et al.. (2014). MicroRNA-223 inhibits tissue factor expression in vascular endothelial cells. Atherosclerosis. 237(2). 514–520. 66 indexed citations
20.
Liu, Chuan‐Fen, Qin Li, Jingyi Ren, et al.. (2011). Elevated plasma lipoprotein-associated phospholipase A₂ activity is associated with plaque rupture in patients with coronary artery disease.. PubMed. 124(16). 2469–73. 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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