Wai‐Tat Wong

16 papers receiving 343 citations

Peers

Wai‐Tat Wong
Comparison fields: 5 of 61
  • Critical Care and Intensive Care Medicine 44
  • Anesthesiology and Pain Medicine 22
  • Cardiology and Cardiovascular Medicine 76
  • Family Practice 5
  • Geriatrics and Gerontology 9
Replace Andrew Casamento with:
Andrew Casamento Australia
Marion E. McRae United States
John Edington Australia
Amy Robertson United States
Peyman Hafezimoghadam Iran
Devin Sydor Canada
Robert S. Isaak United States
Patricia Louzon United States
Joachim Koppenberg Germany
Andrew Kintu Uganda
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Wai‐Tat Wong

Since Specialization
Citations

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

Fields of papers citing papers by Wai‐Tat Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai‐Tat Wong. 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 Wai‐Tat Wong. The network helps show where Wai‐Tat Wong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016179
2 202037
3 201731
4 201930
5 201615
6 202211
7 199611
8 201811
9 202010
10 20168
11 20234
12 20224
13 20213
14 20231
15 20251
16 20241
17 20240
18 20250
19 20250
20 20250

About Wai‐Tat Wong

Wai‐Tat Wong is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Pharmacology, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 357 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (2 papers), Pneumonia and Respiratory Infections (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Palliative Care and End-of-Life Issues (2 papers), Innovations in Medical Education (2 papers), Simulation-Based Education in Healthcare (1 paper), Patient Safety and Medication Errors (1 paper) and Global Health and Surgery (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (44 citations), Anesthesiology and Pain Medicine (22 citations), Cardiology and Cardiovascular Medicine (76 citations), Family Practice (5 citations) and Geriatrics and Gerontology (9 citations). Wai‐Tat Wong has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Anna Lee, Veronica Ka Wai Lai, Gavin M. Joynt, Lowell Ling, Malcolm J. Underwood, Charles D. Gomersall, Patricia Leung, Jason Phua, Tony Gin and Man Kin Henry Wong. Their work appears in journals such as BMJ Open, International Journal of Environmental Research and Public Health, BMJ Quality & Safety, Cochrane Database of Systematic Reviews and Journal of Medical Internet Research.

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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