Ching‐Hui Sia

4.6k citations
247 papers · 2.3k indexed · h-index 23

Impact in

Papers in

Ching‐Hui Sia

214 papers receiving 2.2k citations

Peers

Ching‐Hui Sia
Comparison fields: 5 of 128
  • Cardiology and Cardiovascular Medicine 904
  • Internal Medicine 121
  • Endocrinology, Diabetes and Metabolism 341
  • Neurology 208
  • Epidemiology 425
Replace Jin‐Hyung Jung with:
Jin‐Hyung Jung South Korea
N. David Yanez United States
Fabrizio Ricci Italy
Jason J. Sico United States
Emily B. Schroeder United States
Rajesh Sachdeva United States
Susanna Sciomer Italy
Julie E. Buring United States
Rupak Desai United States
Athena Poppas United States
Ching‐Hui Sia relative to Jin‐Hyung Jung South Korea Jin‐Hyung Jung's profile →
Citations per field
00.5×1.5×
Jin‐Hyung Jung · 1×
Citations per year

Countries citing papers authored by Ching‐Hui Sia

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Hui Sia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Hui Sia. 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 Ching‐Hui Sia. The network helps show where Ching‐Hui Sia may publish in the future.

Co-authors

The 25 scholars most cited alongside Ching‐Hui Sia, 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 Ching‐Hui Sia Line = papers co-authored together Ching‐Hui Sia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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About Ching‐Hui Sia

Ching‐Hui Sia is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 247 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (41 papers), Atrial Fibrillation Management and Outcomes (40 papers), Acute Ischemic Stroke Management (40 papers), Cardiac Valve Diseases and Treatments (38 papers), Cardiac Imaging and Diagnostics (36 papers), Cerebrovascular and Carotid Artery Diseases (21 papers), Acute Myocardial Infarction Research (18 papers) and Cardiac Structural Anomalies and Repair (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (904 citations), Internal Medicine (121 citations), Endocrinology, Diabetes and Metabolism (341 citations), Neurology (208 citations) and Epidemiology (425 citations). Ching‐Hui Sia has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Benjamin Yong‐Qiang Tan, Mark Y. Chan, Jamie Sin Ying Ho, Raymond Wong, Leonard L.L. Yeo, Tiong‐Cheng Yeo, Yao Hao Teo, Aloysius Sheng‐Ting Leow, Kian Keong Poh and Yao Neng Teo. Their work appears in journals such as European Heart Journal, Journal of Thrombosis and Thrombolysis, The American Journal of Cardiology, Journal of Clinical Medicine and Frontiers in Cardiovascular Medicine.

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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