Chung‐Wah Siu

13.9k citations
279 papers · 8.9k indexed · 1 hit paper · h-index 51

Chung‐Wah Siu

270 papers receiving 8.7k citations

Hit Papers

Functional Mesenchymal Stem Cells Derived From Human Indu...4922010202620152020100200300400

Peers

Chung‐Wah Siu
Comparison fields: 5 of 156
  • Cardiology and Cardiovascular Medicine 4.6k
  • Internal Medicine 499
  • Genetics 587
  • Surgery 1.9k
  • Molecular Biology 2.5k
Replace Hung‐Fat Tse with:
Hung‐Fat Tse Hong Kong
Yoshihiro Fukumoto Japan
Yoshifusa Aizawa Japan
Hung‐Fat Tse Hong Kong
Stephan Rosenkranz Germany
Paolo Golino Italy
Chu‐Pak Lau Hong Kong
Toru Satoh Japan
Yasuki Kihara Japan
Ciro Indolfi Italy
Chung‐Wah Siu relative to Hung‐Fat Tse Hong Kong Hung‐Fat Tse's profile →
Citations per field
00.5×1.5×
Hung‐Fat Tse · 1×
Citations per year

Countries citing papers authored by Chung‐Wah Siu

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Wah Siu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Wah Siu. 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 Chung‐Wah Siu. The network helps show where Chung‐Wah Siu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chung‐Wah Siu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chung‐Wah Siu Line = papers co-authored together Chung‐Wah Siu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20233
3 20222
4 20222
5 202219
6 202112
7 20210
8 202110
9 20219
10 202111
11 20196
12 201824
13 20132
14 201112
15
Abstract 15016: Subclinical Left Ventricular Dysfunction Revealed by Circumferential 2D Strain Imaging in Coronary Artery Disease Patients with ECG Fragmented QRS Complex
20110
16 201041
17 201046
18 200858
19 200824
20 200786

About Chung‐Wah Siu

Chung‐Wah Siu is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 279 papers that have together received 8.9k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (69 papers), Cardiac Arrhythmias and Treatments (58 papers), Cardiac electrophysiology and arrhythmias (41 papers), Cardiac pacing and defibrillation studies (34 papers), Cardiac Imaging and Diagnostics (28 papers), Acute Myocardial Infarction Research (27 papers), Pluripotent Stem Cells Research (22 papers) and Cardiovascular Function and Risk Factors (21 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.6k citations), Internal Medicine (499 citations) and Genetics (587 citations). Chung‐Wah Siu has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Hung‐Fat Tse, Hung‐Fat Tse, Chu‐Pak Lau, Kai‐Hang Yiu, Wing‐Hon Lai, Yau-Chi Chan, Kwong‐Man Ng, Yee-Ki Lee, Gregory Y.H. Lip and Esther W. Chan. Their work appears in journals such as Heart Rhythm, Pacing and Clinical Electrophysiology, EP Europace, Journal of Cardiovascular Electrophysiology and PLoS ONE.

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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