William Kong

4.0k citations
56 papers · 747 indexed · h-index 15

William Kong

51 papers receiving 731 citations

Peers

William Kong
Comparison fields: 5 of 89
  • Cardiology and Cardiovascular Medicine 489
  • Epidemiology 237
  • Pulmonary and Respiratory Medicine 167
  • Endocrinology, Diabetes and Metabolism 81
  • Radiology, Nuclear Medicine and Imaging 105
Replace Takashi Kohno with:
Takashi Kohno Japan
Christos A. Goudis Greece
Miguel Mota Carmo Portugal
Rocío Toro Spain
Mariusz Kłopotowski Poland
Moriaki Inoko Japan
Charles Y. Lui United States
Satoki Homma Japan
Roberto Formisano Italy
Timothy S. Lancaster United States
William Kong relative to Takashi Kohno Japan Takashi Kohno's profile →
Citations per field
00.5×6.3×
Takashi Kohno · 1×
Citations per year

Countries citing papers authored by William Kong

Since Specialization
Citations

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

Fields of papers citing papers by William Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Kong. 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 William Kong. The network helps show where William Kong may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20244
4 20240
5 20234
6 20232
7 202221
8 20223
9 20223
10 20224
11 202113
12 20216
13 202155
14 202110
15 20215
16 20216
17 20192
18 20191
19 20141
20 201011

About William Kong

William Kong is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 747 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (27 papers), Cardiovascular Function and Risk Factors (23 papers), Cardiac Imaging and Diagnostics (13 papers), Infective Endocarditis Diagnosis and Management (9 papers), Aortic Disease and Treatment Approaches (7 papers), Acute Myocardial Infarction Research (5 papers), Diabetes Treatment and Management (4 papers) and Obstructive Sleep Apnea Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (489 citations), Epidemiology (237 citations) and Pulmonary and Respiratory Medicine (167 citations). William Kong has collaborated with scholars based in Singapore, Netherlands and Australia. Frequent co-authors include Kian Keong Poh, Victoria Delgado, Nina Ajmone Marsan, Jeroen J. Bax, Ching‐Hui Sia, Philippe J. van Rosendael, Vasileios Kamperidis, Nicholas Chew, Tiong‐Cheng Yeo and Raymond Wong. Their work appears in journals such as Journal of the American College of Cardiology, European Heart Journal and The American Journal of Cardiology.

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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