Ho‐Ming Su

3.6k total citations
225 papers, 2.6k citations indexed

About

Ho‐Ming Su is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ho‐Ming Su has authored 225 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Cardiology and Cardiovascular Medicine, 81 papers in Surgery and 49 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ho‐Ming Su's work include Cardiovascular Function and Risk Factors (76 papers), Cardiovascular Health and Disease Prevention (65 papers) and Cardiac Imaging and Diagnostics (46 papers). Ho‐Ming Su is often cited by papers focused on Cardiovascular Function and Risk Factors (76 papers), Cardiovascular Health and Disease Prevention (65 papers) and Cardiac Imaging and Diagnostics (46 papers). Ho‐Ming Su collaborates with scholars based in Taiwan, United States and United Kingdom. Ho‐Ming Su's co-authors include Tsung‐Hsien Lin, Wen‐Ter Lai, Sheng‐Hsiung Sheu, Szu‐Chia Chen, Wen‐Chol Voon, Po‐Chao Hsu, Jer‐Ming Chang, Hung‐Chun Chen, Wen-Hsien Lee and Chun‐Yuan Chu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Ho‐Ming Su

215 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ho‐Ming Su Taiwan 26 1.7k 704 463 415 367 225 2.6k
Alfredo Bardajı́ Spain 28 1.5k 0.9× 435 0.6× 246 0.5× 400 1.0× 310 0.8× 179 2.4k
Hack‐Lyoung Kim South Korea 24 1.6k 0.9× 663 0.9× 164 0.4× 538 1.3× 334 0.9× 204 2.4k
Ilan Goldenberg Israel 34 3.4k 2.0× 594 0.8× 284 0.6× 334 0.8× 187 0.5× 180 4.2k
Salvatore P. Costa United States 16 922 0.5× 709 1.0× 327 0.7× 299 0.7× 521 1.4× 34 2.0k
Marco Chiostri Italy 23 1.1k 0.7× 486 0.7× 263 0.6× 214 0.5× 268 0.7× 123 1.9k
Veli‐Pekka Harjola Finland 23 2.3k 1.4× 687 1.0× 226 0.5× 164 0.4× 406 1.1× 43 3.2k
Pierre Fesler France 27 1.2k 0.7× 491 0.7× 435 0.9× 171 0.4× 1.1k 2.9× 87 2.5k
André Lamy Canada 32 3.0k 1.8× 1.6k 2.2× 445 1.0× 670 1.6× 368 1.0× 130 4.2k
Johan Lassus Finland 32 3.1k 1.8× 1.2k 1.7× 473 1.0× 165 0.4× 688 1.9× 76 4.6k
Noritake Hata Japan 23 995 0.6× 403 0.6× 328 0.7× 228 0.5× 409 1.1× 126 1.7k

Countries citing papers authored by Ho‐Ming Su

Since Specialization
Citations

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

Fields of papers citing papers by Ho‐Ming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho‐Ming Su. 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 Ho‐Ming Su. The network helps show where Ho‐Ming Su may publish in the future.

Co-authorship network of co-authors of Ho‐Ming Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ho‐Ming Su. A scholar is included among the top collaborators of Ho‐Ming Su 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 Ho‐Ming Su. Ho‐Ming Su 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.
Wu, Pei-Yu, et al.. (2023). Sex Difference in the Associations among Obesity-Related Indices with Hyperuricemia in a Large Taiwanese Population Study. Nutrients. 15(15). 3419–3419. 16 indexed citations
2.
Wu, Pei-Yu, et al.. (2023). Synergetic Association between Anemia and Hyperuricemia on New-Onset Chronic Kidney Disease in a Large Taiwanese Population Follow-Up Study. International Journal of Environmental Research and Public Health. 20(2). 1421–1421. 5 indexed citations
3.
Tsai, Wei‐Chung, Yi‐Hsiung Lin, Shih‐Jie Jhuo, et al.. (2023). Up-regulated small-conductance calcium-activated potassium currents contribute to atrial arrhythmogenesis in high-fat feeding mice. EP Europace. 26(1). 1 indexed citations
4.
Peng, P., Wei‐Chun Hung, Ping‐Hsun Wu, et al.. (2023). Comparative Gut Microbiome Differences between High and Low Aortic Arch Calcification Score in Patients with Chronic Diseases. International Journal of Molecular Sciences. 24(6). 5673–5673. 6 indexed citations
6.
Wang, Chih‐Wen, Da‐Wei Wu, Wen-Hsien Lee, et al.. (2021). Significant association between blood lead (Pb) level and haemoglobin A1c in non-diabetic population. Diabetes & Metabolism. 47(5). 101233–101233. 10 indexed citations
7.
Hsu, Po‐Chao, Jiun‐Chi Huang, Wen-Hsien Lee, et al.. (2020). Usefulness of Ankle-Brachial Index Calculated Using Diastolic Blood Pressure and Mean Arterial Pressure in Predicting Overall and Cardiovascular Mortality in Hemodialysis Patients. International Journal of Medical Sciences. 18(1). 65–72. 3 indexed citations
8.
Yang, Li‐Tan, Wei‐Chuan Tsai, & Ho‐Ming Su. (2017). Echocardiographic parameters versus CHA2DS2-VASc score in prediction of overall cardiac events, heart failure, and stroke in non-valvular atrial fibrillation. Cardiology Journal. 25(1). 60–71. 6 indexed citations
9.
Chen, Szu‐Chia, Mei‐Yueh Lee, Jiun‐Chi Huang, et al.. (2016). Platelet to Lymphocyte Percentage Ratio Is Associated With Brachial–Ankle Pulse Wave Velocity in Hemodialysis. Medicine. 95(6). e2727–e2727. 5 indexed citations
10.
Chu, Chun‐Yuan, Wen-Hsien Lee, Po‐Chao Hsu, et al.. (2014). Myocardial performance index derived from pre-ejection period as a novel and useful predictor of cardiovascular events in atrial fibrillation. Journal of Cardiology. 65(6). 466–473. 9 indexed citations
11.
Su, Ho‐Ming, Tsung‐Hsien Lin, Po‐Chao Hsu, et al.. (2013). Global left ventricular longitudinal systolic strain as a major predictor of cardiovascular events in patients with atrial fibrillation. Heart. 99(21). 1588–1596. 36 indexed citations
12.
Tsai, Wei‐Chung, Kun‐Tai Lee, Hsuan‐Fu Kuo, et al.. (2013). Association of Increased Arterial Stiffness and P Wave Dispersion with Left Ventricular Diastolic Dysfunction. International Journal of Medical Sciences. 10(11). 1437–1444. 5 indexed citations
13.
Chen, Szu‐Chia, Jer‐Ming Chang, Yi‐Chun Tsai, et al.. (2013). Left Atrial Diameter and Albumin with Renal Outcomes in Chronic Kidney Disease. International Journal of Medical Sciences. 10(5). 575–584. 9 indexed citations
14.
Hsu, Po‐Chao, et al.. (2012). Association between Endostatin G4349A Polymorphism and Coronary Collaterals in the Chinese Population. Zhōnghuá mínguó xīnzàngxué huì zázhì. 28(1). 10–16. 1 indexed citations
15.
Chen, Sharon, et al.. (2012). Association of Uric Acid and Left Ventricular Mass Index With Renal Outcomes in Chronic Kidney Disease. American Journal of Hypertension. 26(2). 243–249. 12 indexed citations
16.
Hsu, Po‐Chao, Tsung‐Hsien Lin, Ho‐Ming Su, et al.. (2010). Inferolateral ST Elevation as a First Sign of Left Anterior Descending Artery Occlusion. Annals of Noninvasive Electrocardiology. 15(1). 90–93. 1 indexed citations
17.
Chen, Szu‐Chia, et al.. (2008). Comparison of Ankle-Brachial Index and Brachial-Ankle Pulse Wave Velocity between Patients with Chronic Kidney Disease and Hemodialysis. American Journal of Nephrology. 29(5). 374–380. 15 indexed citations
18.
Su, Ho‐Ming, Herng‐Chia Chiu, Tsung‐Hsien Lin, et al.. (2006). Longitudinal study of the ageing trends in QT interval and dispersion in healthy elderly subjects. Age and Ageing. 35(6). 636–638. 14 indexed citations
19.
Su, Ho‐Ming, Wen‐Chol Voon, Wen‐Ter Lai, et al.. (2005). Ankle-brachial Index Measured by an Automated Oscillometric Method as a Predictor of Cardiovascular Events in Patients with Coronary Artery Disease. Zhōnghuá mínguó xīnzàngxué huì zázhì. 21(1). 13–18. 2 indexed citations
20.
Su, Ho‐Ming, et al.. (2003). The Validity of Brachial-ankle Pulse Wave Velocity in Predicting Coronary Artery Disease. Zhōnghuá mínguó xīnzàngxué huì zázhì. 19(4). 237–242. 2 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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