Win Sen Kuan

106 papers receiving 1.3k citations

Peers

Win Sen Kuan
Comparison fields: 5 of 124
  • Emergency Medicine 338
  • Critical Care and Intensive Care Medicine 168
  • Family Practice 48
  • Epidemiology 352
  • Nephrology 68
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Ramón Pujol Spain
Walter A. Boyle United States
Simon Craig Australia
Susan R. Wilcox United States
Chien‐Da Huang Taiwan
Neha Dangayach United States
Johannes Bickenbach Germany
Adam S. Evans United States
Ricardo A. Quinonez United States
Albert P. Bos Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Win Sen Kuan

Since Specialization
Citations

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

Fields of papers citing papers by Win Sen Kuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Win Sen Kuan. 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 Win Sen Kuan. The network helps show where Win Sen Kuan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201196
2 201672
3 201567
4 201764
5
Emergency unscheduled returns: can we do better?
200949
6 201646
7 201646
8 201238
9 201337
10 201531
11 201630
12 201429
13 201629
14 202129
15 201529
16 201428
17 201624
18 201123
19 202023
20 202020

About Win Sen Kuan

Win Sen Kuan is a scholar working on Emergency Medicine, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Public Health, Environmental and Occupational Health, having authored 116 papers that have together received 1.3k indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (29 papers), Sepsis Diagnosis and Treatment (18 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (11 papers), Heart Failure Treatment and Management (10 papers), Trauma and Emergency Care Studies (10 papers), Respiratory Support and Mechanisms (8 papers), Palliative Care and End-of-Life Issues (8 papers) and Hemodynamic Monitoring and Therapy (7 papers). The work is most often cited by research in Emergency Medicine (338 citations), Critical Care and Intensive Care Medicine (168 citations), Family Practice (48 citations), Epidemiology (352 citations) and Nephrology (68 citations). Win Sen Kuan has collaborated with scholars based in Singapore, New Zealand and Australia. Frequent co-authors include Malcolm Mahadevan, Mui Teng Chua, Irwani Ibrahim, David Tai Leong, Tow Keang Lim, Gerben Keijzers, Sai͏̈d Laribi, Colin A. Graham, Tiong Beng Sim and Simon Craig. Their work appears in journals such as The American Journal of Emergency Medicine, Emergency Medicine Australasia, European Journal of Emergency Medicine, Emergency Medicine Journal and Annals of Translational 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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