CW Kam

4.2k citations
104 papers · 2.2k indexed · 1 hit paper · h-index 19

CW Kam

96 papers receiving 2.1k citations

Hit Papers

Idarucizumab for Dabigatran Reversal9812015202620182022250500750

Peers

CW Kam
Comparison fields: 5 of 130
  • Internal Medicine 640
  • Emergency Medicine 453
  • Cardiology and Cardiovascular Medicine 924
  • Virology 120
  • Critical Care and Intensive Care Medicine 96
Replace Anthony Brown with:
Anthony Brown Australia
Francis Fagnani France
Haywood L. Brown United States
A. Kane Senegal
Joy L. Herndon United States
Hans Petersen United States
J E Siegel United States
Paul J. Meis United States
P. J. Hamilton United Kingdom
B. Burt Gerstman United States
CW Kam relative to Anthony Brown Australia Anthony Brown's profile →
Citations per field
00.5×9.7×
Anthony Brown · 1×
Citations per year

Countries citing papers authored by CW Kam

Since Specialization
Citations

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

Fields of papers citing papers by CW Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Assessment of long-term functional outcome in patients who sustained moderate or major trauma: a 4-year prospective cohort study.
20181
2 20182
3 201815
4 20168
5 201622
6 201615
7
Initial results of the re-verse AD trial: idarucizumab reverses the anticoagulant effects of dabigatran in patients in an emergency setting of major bleeding, urgent surgery, or interventions
20152
8 201520
9 201415
10 201418
11 201043
12 200833
13 200810
14 200846
15 200314
16 200216
17
Morbidity patterns of non-urgent patients attending accident and emergency departments in Hong Kong: cross-sectional study.
200111
18 200136
19 200072
20 199411

About CW Kam

CW Kam is a scholar working on Emergency Medicine, Internal Medicine and Virology, having authored 104 papers that have together received 2.2k indexed citations. Recurring topics across this work include Trauma and Emergency Care Studies (22 papers), Pelvic and Acetabular Injuries (11 papers), Emergency and Acute Care Studies (10 papers), Abdominal Trauma and Injuries (9 papers), Injury Epidemiology and Prevention (9 papers), Intimate Partner and Family Violence (8 papers), Poisoning and overdose treatments (6 papers) and Restraint-Related Deaths (6 papers). The work is most often cited by research in Internal Medicine (640 citations), Emergency Medicine (453 citations) and Cardiology and Cardiovascular Medicine (924 citations). CW Kam has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Frank W. Sellke, Pieter W. Kamphuisen, Jeffrey I. Weitz, Thorsten Steiner, Robert Dubiel, Menno V. Huisman, Jerrold H. Levy, Joachim Stangier, Stephan Glund and Elaine M. Hylek. Their work appears in journals such as Emergency Medicine Journal, Injury, The American Journal of Emergency Medicine, PLoS ONE and Scientific Reports.

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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