Shih‐Hung Hsiao

566 total citations
21 papers, 427 citations indexed

About

Shih‐Hung Hsiao is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shih‐Hung Hsiao has authored 21 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shih‐Hung Hsiao's work include Cardiovascular Function and Risk Factors (14 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiac Valve Diseases and Treatments (6 papers). Shih‐Hung Hsiao is often cited by papers focused on Cardiovascular Function and Risk Factors (14 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiac Valve Diseases and Treatments (6 papers). Shih‐Hung Hsiao collaborates with scholars based in Taiwan. Shih‐Hung Hsiao's co-authors include Chun‐Peng Liu, Shih-Kai Lin, Shu‐Mei Chang, Wei‐Chen Huang, Cheng-Len Sy, Tsui‐Lieh Hsu, Wen‐Shan Liu, Guang-Yuan Mar, Kuo‐An Chu and Ruay-Sheng Lai and has published in prestigious journals such as The American Journal of Cardiology, European Journal of Heart Failure and Journal of the American Society of Echocardiography.

In The Last Decade

Shih‐Hung Hsiao

20 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shih‐Hung Hsiao Taiwan 9 330 248 84 78 63 21 427
Jürgen Falkensammer Austria 11 265 0.8× 162 0.7× 52 0.6× 64 0.8× 180 2.9× 28 439
Nathan Dwyer Australia 17 440 1.3× 250 1.0× 51 0.6× 67 0.9× 165 2.6× 43 580
Rajiv Swamy United States 8 327 1.0× 360 1.5× 69 0.8× 41 0.5× 91 1.4× 16 451
Kazuaki Kaitani Japan 12 426 1.3× 160 0.6× 105 1.3× 88 1.1× 255 4.0× 53 572
Marco Morsolini Italy 12 409 1.2× 500 2.0× 64 0.8× 14 0.2× 74 1.2× 24 598
Alfred Ioli United States 11 413 1.3× 117 0.5× 123 1.5× 78 1.0× 216 3.4× 24 504
Eric R. Fenstad United States 9 262 0.8× 231 0.9× 120 1.4× 29 0.4× 93 1.5× 24 414
Chiung‐Jen Wu Taiwan 10 237 0.7× 112 0.5× 42 0.5× 116 1.5× 243 3.9× 39 385
Charles R. Prince United States 10 590 1.8× 224 0.9× 81 1.0× 200 2.6× 167 2.7× 19 812
Marlieke L.A. Haeck Netherlands 11 442 1.3× 283 1.1× 119 1.4× 92 1.2× 113 1.8× 18 553

Countries citing papers authored by Shih‐Hung Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Hung Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Hung Hsiao. 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 Shih‐Hung Hsiao. The network helps show where Shih‐Hung Hsiao may publish in the future.

Co-authorship network of co-authors of Shih‐Hung Hsiao

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Hung Hsiao. A scholar is included among the top collaborators of Shih‐Hung Hsiao 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 Shih‐Hung Hsiao. Shih‐Hung Hsiao 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.
Hsiao, Shih‐Hung, et al.. (2023). Hydralazine Combined with Conventional Therapy Improved Outcomes in Severe Systolic Dysfunction and Mitral Regurgitation. ESC Heart Failure. 11(1). 198–208. 3 indexed citations
2.
Hsiao, Shih‐Hung, et al.. (2022). Early predicting improvement of severe systolic heart failure by left atrial volume. Heart and Vessels. 38(4). 523–534. 2 indexed citations
3.
Hsiao, Shih‐Hung, et al.. (2021). Systolic Pulmonary Regurgitation Affects the Outcome of Patients with Severe Systolic Heart Failure. ESC Heart Failure. 8(6). 5121–5131. 2 indexed citations
4.
Hsiao, Shih‐Hung, et al.. (2021). Correlation between left atrial expansion index and stroke subtype: A 10‐Year Follow‐Up Study. Echocardiography. 38(6). 861–870. 3 indexed citations
5.
Hsiao, Shih‐Hung, et al.. (2021). Malnutrition Affects the Outcomes of Patients with Low-Output Heart Failure and Congestion.. PubMed. 37(3). 269–277. 2 indexed citations
6.
Chu, Kuo‐An, et al.. (2018). Effective cardiac radiotherapy relieved life-threatening heart failure caused by advanced small cell lung cancer with cardiac metastasis: a case report. Journal of Thoracic Disease. 10(4). E250–E254. 7 indexed citations
7.
Liu, Wen‐Shan, et al.. (2018). Echocardiogram revealing bulky cardiac metastasis from small cell lung cancer. ASVIDE. 5. 440–440. 1 indexed citations
8.
Hsiao, Shih‐Hung, et al.. (2013). Left Atrial Expansion Index Predicts all-Cause Mortality and Heart Failure Admissions in Dyspnoea. European Journal of Heart Failure. 15(11). 1245–1252. 19 indexed citations
9.
Chang, Shu‐Mei, et al.. (2007). Right Heart Function and Scleroderma: Insights from Tricuspid Annular Plane Systolic Excursion. Echocardiography. 24(2). 118–125. 50 indexed citations
10.
Chang, Shu‐Mei, et al.. (2007). Pulmonary Hypertension and Left Heart Function: Insights from Tissue Doppler Imaging and Myocardial Performance Index. Echocardiography. 24(4). 366–373. 37 indexed citations
11.
12.
Hsiao, Shih‐Hung, et al.. (2006). Right Heart Function in Systemic Lupus Erythematosus: Insights from Myocardial Doppler Tissue Imaging. Journal of the American Society of Echocardiography. 19(4). 441–449. 31 indexed citations
13.
Hsiao, Shih‐Hung, et al.. (2006). Right Heart Function in Scleroderma: Insights from Myocardial Doppler Tissue Imaging. Journal of the American Society of Echocardiography. 19(5). 507–514. 43 indexed citations
14.
Hsiao, Shih‐Hung, et al.. (2006). Usefulness of Regional Myocardial Performance Index to Diagnose Pulmonary Embolism in Patients With Echocardiographic Signs of Pulmonary Hypertension. The American Journal of Cardiology. 98(12). 1652–1655. 21 indexed citations
15.
Hsiao, Shih‐Hung, et al.. (2006). Pulmonary Embolism and Right Heart Function: Insights from Myocardial Doppler Tissue Imaging. Journal of the American Society of Echocardiography. 19(6). 822–828. 40 indexed citations
16.
17.
Hsiao, Shih‐Hung, et al.. (2005). Doppler Tissue Imaging and Color M-Mode Flow Propagation Velocity: Are They Really Preload Independent?. Journal of the American Society of Echocardiography. 18(12). 1277–1284. 30 indexed citations
18.
Hsiao, Shih‐Hung, et al.. (2005). Preload and Flow Propagation Velocity: Insight into Patients with Uremia and Different Left Ventricular Systolic Function. Journal of the American Society of Echocardiography. 18(12). 1254–1259. 2 indexed citations
19.
Hsiao, Shih‐Hung, et al.. (2005). Color M‐Mode Flow Propagation Velocity: Is It Really Preload Independent?. Echocardiography. 22(8). 636–641. 7 indexed citations
20.
Hsiao, Shih‐Hung, et al.. (2002). Diagnosis of an isolated persistent left side superior vena cava by contrast echocardiography compared with invasive angiographic study.. PubMed. 65(7). 320–5. 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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2026