Chak-Yu So

627 citations
50 papers · 298 · h-index 9

Impact in

Papers in

    • Cardiac Valve Diseases and Treatments 30
    • Atrial Fibrillation Management and Outcomes 10
    • Cardiac Arrhythmias and Treatments 7
    • Cardiac pacing and defibrillation studies 4
    • Cardiovascular Function and Risk Factors 4
    • Infective Endocarditis Diagnosis and Management 9

Chak-Yu So

40 papers receiving 293 citations

Peers

Chak-Yu So
Comparison fields: 5 of 51
  • Cardiology and Cardiovascular Medicine 132
  • Health Informatics 6
  • Hepatology 29
  • Epidemiology 73
  • Internal Medicine 6
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A. Salvador Spain
Vikas Singh United States
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Srinath T. Gowda United States
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Citations per field
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Citations per year

Countries citing papers authored by Chak-Yu So

Since Specialization
Citations

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

Fields of papers citing papers by Chak-Yu So

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chak-Yu So. 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 Chak-Yu So. The network helps show where Chak-Yu So may publish in the future.

Co-authors

The 25 scholars most cited alongside Chak-Yu So, 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 Chak-Yu So Line = papers co-authored together Chak-Yu So links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201661
2 201944
3 201625
4 202212
5 202012
6 200711
7 200411
8 202010
9 20209
10 20158
11 20178
12 20207
13 20237
14 20206
15 20175
16 20215
17 20185
18
Common association of haemolytic uraemic syndrome with invasive Streptococcus pneumoniae infection in five Chinese paediatric patients.
20115
19 20244
20 20254

About Chak-Yu So

Chak-Yu So is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 298 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (30 papers), Atrial Fibrillation Management and Outcomes (10 papers), Infective Endocarditis Diagnosis and Management (9 papers), Cardiac Arrhythmias and Treatments (7 papers), Cardiac pacing and defibrillation studies (4 papers), Cardiovascular Function and Risk Factors (4 papers), Aortic Disease and Treatment Approaches (3 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (132 citations), Health Informatics (6 citations), Hepatology (29 citations), Epidemiology (73 citations) and Internal Medicine (6 citations). Chak-Yu So has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Alex Pui‐Wai Lee, Kevin Ka‐Ho Kam, Dee Dee Wang, Yiting Fan, Karen Ma, Bonaventure Ip, Man Fai Law, Jacqueline So, Yat‐Yin Lam and Guson Kang. Their work appears in journals such as JACC: Cardiovascular Interventions, ˜The œJournal of invasive cardiology, Circulation Cardiovascular Imaging, Journal of the American Society of Echocardiography and JACC Asia.

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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