Songran Yang

729 total citations
29 papers, 533 citations indexed

About

Songran Yang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Songran Yang has authored 29 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Epidemiology. Recurrent topics in Songran Yang's work include Atrial Fibrillation Management and Outcomes (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Mesenchymal stem cell research (3 papers). Songran Yang is often cited by papers focused on Atrial Fibrillation Management and Outcomes (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Mesenchymal stem cell research (3 papers). Songran Yang collaborates with scholars based in China, United Kingdom and Netherlands. Songran Yang's co-authors include Ping Hua, Rongjun Zou, Jun Tao, Wanting Shi, Piet Eikelenboom, Willem A. van Gool, Eric P. Moll van Charante, Ben Schmand, Edo Richard and Suzanne A. Ligthart and has published in prestigious journals such as PLoS ONE, Life Sciences and European Journal of Pharmacology.

In The Last Decade

Songran Yang

28 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songran Yang China 13 121 109 109 82 75 29 533
Tomor Harnod Taiwan 15 99 0.8× 125 1.1× 232 2.1× 72 0.9× 120 1.6× 71 800
Brian Curran United States 15 112 0.9× 87 0.8× 29 0.3× 80 1.0× 105 1.4× 50 566
Yusuf Tamam Türkiye 15 85 0.7× 95 0.9× 104 1.0× 141 1.7× 12 0.2× 45 608
Beata Łabuz-Roszak Poland 12 74 0.6× 35 0.3× 75 0.7× 69 0.8× 22 0.3× 87 466
Lucio D’Anna United Kingdom 9 35 0.3× 160 1.5× 86 0.8× 131 1.6× 92 1.2× 29 639
Huan Sun China 14 63 0.5× 132 1.2× 40 0.4× 42 0.5× 36 0.5× 43 465
Iris Zavoreo Croatia 13 98 0.8× 34 0.3× 60 0.6× 87 1.1× 20 0.3× 59 478
Jeffrey Minuk Canada 13 55 0.5× 99 0.9× 46 0.4× 196 2.4× 47 0.6× 20 585
Eun Hee Sohn South Korea 15 64 0.5× 52 0.5× 145 1.3× 61 0.7× 136 1.8× 72 784
Yi‐Chia Wei Taiwan 15 35 0.3× 64 0.6× 93 0.9× 117 1.4× 41 0.5× 47 620

Countries citing papers authored by Songran Yang

Since Specialization
Citations

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

Fields of papers citing papers by Songran Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songran Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Songran Yang. A scholar is included among the top collaborators of Songran Yang 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 Songran Yang. Songran Yang 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.
Gui, Long, et al.. (2025). Association between hemoglobin glycation index and adverse outcomes in critically ill patients with myocardial infarction: A retrospective cohort study. Nutrition Metabolism and Cardiovascular Diseases. 35(6). 103973–103973. 2 indexed citations
2.
Wei, Jian‐Jun, et al.. (2025). Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit. Frontiers in Neurology. 16. 1513732–1513732. 1 indexed citations
3.
Lv, Lei, Qi Wang, Hua Ouyang, et al.. (2024). Assessment of intracranial aneurysm rupture risk using a point cloud-based deep learning model. Frontiers in Physiology. 15. 1293380–1293380. 5 indexed citations
4.
Lv, Lei, et al.. (2024). Left main coronary artery morphological phenotypes and its hemodynamic properties. BioMedical Engineering OnLine. 23(1). 9–9. 2 indexed citations
5.
Lv, Lei, et al.. (2023). Peripheral Hemangioblastoma Arising at an Exceptional Area: A Multimodal Imaging Report and 3-Year Follow Up. Circulation Cardiovascular Imaging. 16(6). e014707–e014707. 1 indexed citations
6.
7.
Lv, Lei, et al.. (2022). An artificial intelligence-based platform for automatically estimating time-averaged wall shear stress in the ascending aorta. European Heart Journal - Digital Health. 3(4). 525–534. 8 indexed citations
8.
Lv, Lei, Dingwen Zhang, Ping Hua, & Songran Yang. (2020). The glial-specific hypermethylated 3′ untranslated region of histone deacetylase 1 may modulates several signal pathways in Alzheimer's disease. Life Sciences. 265. 118760–118760. 10 indexed citations
9.
Zou, Rongjun, Dingwen Zhang, Lei Lv, et al.. (2019). Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke. Journal of Translational Medicine. 17(1). 45–45. 76 indexed citations
10.
Zou, Rongjun, Minglei Yang, Wanting Shi, et al.. (2018). Analysis of Genes Involved in Persistent Atrial Fibrillation: Comparisons of ‘Trigger’ and ‘Substrate’ Differences. Cellular Physiology and Biochemistry. 47(3). 1299–1309. 9 indexed citations
11.
Li, Hongmu, Xun Ma, Jun Tao, et al.. (2018). Biatrial versus Isolated Left Atrial Ablation in Atrial Fibrillation: A Systematic Review and Meta-Analysis. BioMed Research International. 2018. 1–14. 13 indexed citations
12.
13.
Zou, Rongjun, Jun Tao, Wanting Shi, et al.. (2017). Meta-analysis of safety and efficacy for direct oral anticoagulation treatment of non-valvular atrial fibrillation in relation to renal function. Thrombosis Research. 160. 41–50. 28 indexed citations
14.
Zou, Rongjun, Wanting Shi, Jun Tao, et al.. (2017). Neurocardiology: Cardiovascular Changes and Specific Brain Region Infarcts. BioMed Research International. 2017. 1–7. 11 indexed citations
15.
Yang, Songran, et al.. (2015). Voxel-Based Analysis of Fractional Anisotropy in Post-Stroke Apathy. PLoS ONE. 10(1). e116168–e116168. 31 indexed citations
16.
Egger, Karl, Songran Yang, Marco Reisert, et al.. (2015). Tractography of Association Fibers Associated with Language Processing. Clinical Neuroradiology. 25(S2). 231–236. 13 indexed citations
17.
Hua, Ping, et al.. (2014). Factors Related to Executive Dysfunction after Acute Infarct. PLoS ONE. 9(9). e108574–e108574. 9 indexed citations
18.
19.
Yang, Songran, Ping Hua, Zhanfeng Cui, et al.. (2014). Deficiency of brain structural sub‐network underlying post‐ischaemic stroke apathy. European Journal of Neurology. 22(2). 341–347. 24 indexed citations
20.
Richard, Edo, Ben Schmand, Piet Eikelenboom, et al.. (2012). Symptoms of Apathy Are Associated with Progression from Mild Cognitive Impairment to Alzheimers Disease in Non-Depressed Subjects. Dementia and Geriatric Cognitive Disorders. 33(2-3). 204–209. 102 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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