Kam S. Woo

5.6k citations
95 papers · 4.4k indexed · 1 hit paper · h-index 37

Kam S. Woo

93 papers receiving 4.2k citations

Hit Papers

Cardiovascular Disease in the Developing World3472012202620162021100200300

Peers

Kam S. Woo
Comparison fields: 5 of 144
  • Cardiology and Cardiovascular Medicine 2.2k
  • Rheumatology 640
  • Complementary and alternative medicine 271
  • Endocrinology, Diabetes and Metabolism 541
  • Nephrology 167
Replace Leonelo E. Bautista with:
Leonelo E. Bautista United States
Jacqueline D. Wright United States
Ping Chook Hong Kong
Jianping Li China
Paul M. Ridker United States
Claudia U. Chae United States
Charles H. Hennekens United States
Christos Pitsavos Greece
Bernd Eber Austria
W. T. Longstreth United States
Kam S. Woo relative to Leonelo E. Bautista United States Leonelo E. Bautista's profile →
Citations per field
00.5×1.5×2.0×
Leonelo E. Bautista · 1×
Citations per year

Countries citing papers authored by Kam S. Woo

Since Specialization
Citations

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

Fields of papers citing papers by Kam S. Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20209
3 20194
4
Reference range for brachial artery flow-mediated dilation in healthy Chinese children and adolescents.
20187
5 201834
6
Cardiovascular Disease in the Developing Worldbreakdown →
2012347
7 201231
8 200975
9 200035
10 1999142
11 1999248
12 199921
13 199725
14 199677
15 199637
16 199546
17 19951
18 19942
19 199217
20 19921

About Kam S. Woo

Kam S. Woo is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine, having authored 95 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (17 papers), Blood Pressure and Hypertension Studies (13 papers), Cardiovascular Disease and Adiposity (10 papers), Cardiovascular Function and Risk Factors (10 papers), Heart Failure Treatment and Management (10 papers), Heart Rate Variability and Autonomic Control (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Folate and B Vitamins Research (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.2k citations), Rheumatology (640 citations) and Complementary and alternative medicine (271 citations). Kam S. Woo has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include David S. Celermajer, John E. Sanderson, Ping Chook, Yvette Lolin, Con Metreweli, C. Metreweli, Leata Y.C. Yeung, Christopher Wai Kei Lam, Éloi Marijon and Clara K Chow. Their work appears in journals such as Circulation, Annals of Internal Medicine and Journal of the American College 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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