Hung-Ta Wo

736 total citations
37 papers, 456 citations indexed

About

Hung-Ta Wo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Hung-Ta Wo has authored 37 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Hung-Ta Wo's work include Cardiac Arrhythmias and Treatments (18 papers), Cardiac electrophysiology and arrhythmias (18 papers) and Atrial Fibrillation Management and Outcomes (13 papers). Hung-Ta Wo is often cited by papers focused on Cardiac Arrhythmias and Treatments (18 papers), Cardiac electrophysiology and arrhythmias (18 papers) and Atrial Fibrillation Management and Outcomes (13 papers). Hung-Ta Wo collaborates with scholars based in Taiwan, United States and China. Hung-Ta Wo's co-authors include Ming‐Shien Wen, Po‐Cheng Chang, Chung‐Chuan Chou, Hui‐Ling Lee, San‐Jou Yeh, Chun‐Chieh Wang, Tien‐Hsing Chen, Kai Li, Ching‐Lin Hsieh and Xin Zhao and has published in prestigious journals such as ACS Nano, PLoS ONE and Scientific Reports.

In The Last Decade

Hung-Ta Wo

35 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung-Ta Wo Taiwan 11 255 102 73 50 48 37 456
Samantha D. Francis Stuart United States 8 292 1.1× 155 1.5× 53 0.7× 36 0.7× 17 0.4× 9 389
Tuantuan Tan China 9 242 0.9× 86 0.8× 73 1.0× 23 0.5× 14 0.3× 25 398
Alexandra Alberta dos Santos Brazil 12 172 0.7× 75 0.7× 106 1.5× 29 0.6× 8 0.2× 19 348
Magdalena A. Zabielska-Kaczorowska Poland 13 76 0.3× 160 1.6× 72 1.0× 48 1.0× 35 0.7× 27 409
Monalisa Singh United States 9 48 0.2× 191 1.9× 94 1.3× 72 1.4× 7 0.1× 12 330
Anett Jannasch Germany 11 176 0.7× 125 1.2× 92 1.3× 81 1.6× 11 0.2× 34 383
Jinghui Li China 13 146 0.6× 97 1.0× 55 0.8× 31 0.6× 8 0.2× 44 465
Christopher Crean United States 11 158 0.6× 177 1.7× 60 0.8× 76 1.5× 21 0.4× 22 520
Anna Siekierzycka Poland 9 33 0.1× 138 1.4× 29 0.4× 105 2.1× 57 1.2× 17 418
Smadar Yitzhaki Israel 10 91 0.4× 167 1.6× 39 0.5× 51 1.0× 10 0.2× 12 484

Countries citing papers authored by Hung-Ta Wo

Since Specialization
Citations

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

Fields of papers citing papers by Hung-Ta Wo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-Ta Wo. 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 Hung-Ta Wo. The network helps show where Hung-Ta Wo may publish in the future.

Co-authorship network of co-authors of Hung-Ta Wo

This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Ta Wo. A scholar is included among the top collaborators of Hung-Ta Wo 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 Hung-Ta Wo. Hung-Ta Wo 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, Zhi‐Yong, Jung‐Sheng Chen, Chung‐Chuan Chou, et al.. (2025). Utilizing 12-lead electrocardiogram and machine learning to retrospectively estimate and prospectively predict atrial fibrillation and stroke risk. Computers in Biology and Medicine. 188. 109871–109871. 1 indexed citations
2.
Lee, Hui‐Ling, Po‐Cheng Chang, Hung-Ta Wo, et al.. (2024). Eleclazine Suppresses Ventricular Fibrillation in Failing Rabbit Hearts with Ischemia-Reperfusion Injury Undergoing Therapeutic Hypothermia. Pharmacology. 110(3). 151–164. 1 indexed citations
3.
Chang, Po‐Cheng, et al.. (2024). Vericiguat suppresses ventricular tachyarrhythmias inducibility in a rabbit myocardial infarction model. PLoS ONE. 19(4). e0301970–e0301970. 1 indexed citations
4.
Liu, Zhi‐Yong, Po‐Cheng Chang, Hao-Tien Liu, et al.. (2023). Comparing Artificial Intelligence-Enabled Electrocardiogram Models in Identifying Left Atrium Enlargement and Long-term Cardiovascular Risk. Canadian Journal of Cardiology. 40(4). 585–594. 1 indexed citations
5.
Huang, Yu‐Chang, Yu‐Chun Hsu, Zhi‐Yong Liu, et al.. (2023). Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction. Frontiers in Cardiovascular Medicine. 10. 1070641–1070641. 10 indexed citations
6.
Chang, Po‐Cheng, Zhi‐Yong Liu, Yu‐Chang Huang, et al.. (2023). Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram. Frontiers in Cardiovascular Medicine. 10. 1245614–1245614. 1 indexed citations
8.
Chou, Chung‐Chuan, et al.. (2022). Obstetric and fetal/neonatal outcomes in pregnant women with frequent premature ventricular complexes and structurally normal heart. International Journal of Cardiology. 371. 160–166.
9.
Hwang, Yi‐Ting, Hui‐Ling Lee, Po‐Cheng Chang, et al.. (2021). A Novel Approach for Predicting Atrial Fibrillation Recurrence After Ablation Using Deep Convolutional Neural Networks by Assessing Left Atrial Curved M-Mode Speckle-Tracking Images. Frontiers in Cardiovascular Medicine. 7. 605642–605642. 16 indexed citations
10.
Chen, Hao, Huaxiao Yang, Chen Zhang, et al.. (2021). Differential Responses of Transplanted Stem Cells to Diseased Environment Unveiled by a Molecular NIR-II Cell Tracker. Research. 2021. 9798580–9798580. 10 indexed citations
11.
Liu, Hao-Tien, Hui‐Ling Lee, Hung-Ta Wo, et al.. (2021). P wave duration ≥150 ms predicts poor left atrial function and ablation outcomes in non-paroxysmal atrial fibrillation. Journal of Electrocardiology. 69. 124–131. 6 indexed citations
12.
13.
Lu, Yu‐Ying, Chia-Tung Wu, Chung‐Chieh Wang, et al.. (2018). Application of wireless remote electrocardiogram monitoring device in atrial fibrillation patients undergoing radiofrequency catheter ablation. Journal of Electrocardiology. 51(5). 818–823. 2 indexed citations
14.
Chou, Chung‐Chuan, Hui‐Ling Lee, Po‐Cheng Chang, et al.. (2018). Left atrial emptying fraction predicts recurrence of atrial fibrillation after radiofrequency catheter ablation. PLoS ONE. 13(1). e0191196–e0191196. 27 indexed citations
15.
Wo, Hung-Ta, Po‐Cheng Chang, Chung‐Chuan Chou, et al.. (2016). Circumferential ablation at the base of the left ventricular papillary muscles: A highly effective approach for ventricular arrhythmias originating from the papillary muscles. International Journal of Cardiology. 220. 876–882. 15 indexed citations
16.
Wen, Ming‐Shien, Shian‐Sen Shie, Yu‐Lun Lo, et al.. (2014). The circadian rhythm controls telomeres and telomerase activity. Biochemical and Biophysical Research Communications. 451(3). 408–414. 71 indexed citations
17.
Chen, Tien‐Hsing, Hung-Ta Wo, Po‐Cheng Chang, et al.. (2014). A Meta-Analysis of Mortality in End-Stage Renal Disease Patients Receiving Implantable Cardioverter Defibrillators (ICDs). PLoS ONE. 9(7). e99418–e99418. 17 indexed citations
18.
Chang, Po‐Cheng, et al.. (2014). Paradoxical effects of KB-R7943 on arrhythmogenicity in a chronic myocardial infarction rabbit model. Journal of Cardiology. 66(1). 80–87. 5 indexed citations
19.
Chang, Po‐Cheng, Hung-Ta Wo, Chung‐Chuan Chou, et al.. (2013). Risk factors of recurrence and complication in radiofrequency catheter ablation of atrioventricular reentrant tachycardia in children and adolescents. Cardiology in the Young. 23(5). 682–691. 7 indexed citations
20.
Wo, Hung-Ta, Po‐Cheng Chang, Tien‐Hsing Chen, & Chun‐Chieh Wang. (2011). Cardiac Resynchronization Therapy in Patients with and without Atrial Fibrillation. Zhōnghuá mínguó xīnzàngxué huì zázhì. 46–51. 6 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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