Kam S. Woo

111 total papers · 5.6k total citations
95 papers, 4.4k citations indexed

About

Kam S. Woo is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Kam S. Woo has authored 95 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cardiology and Cardiovascular Medicine, 19 papers in Endocrinology, Diabetes and Metabolism and 15 papers in Surgery. Recurrent topics in Kam S. Woo's work include Cardiovascular Health and Disease Prevention (17 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Disease and Adiposity (10 papers). Kam S. Woo is often cited by papers focused on Cardiovascular Health and Disease Prevention (17 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Disease and Adiposity (10 papers). Kam S. Woo collaborates with scholars based in Hong Kong, China and Australia. Kam S. Woo's co-authors include David S. Celermajer, John E. Sanderson, Ping Chook, Yvette Lolin, Con Metreweli, C. Metreweli, Christopher Wai Kei Lam, Leata Y.C. Yeung, Nicholas M. Anstey and Éloi Marijon and has published in prestigious journals such as Circulation, Annals of Internal Medicine and Journal of the American College of Cardiology.

In The Last Decade

Kam S. Woo

93 papers receiving 4.2k citations

Hit Papers

Cardiovascular Disease in... 2012 2026 2016 2021 2012 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kam S. Woo 2.2k 670 642 543 539 95 4.4k
Vanessa Xanthakis 2.6k 1.2× 505 0.8× 278 0.4× 592 1.1× 341 0.6× 122 4.5k
Emil Hagström 1.4k 0.7× 811 1.2× 300 0.5× 457 0.8× 230 0.4× 119 4.1k
Isla S. Mackenzie 2.2k 1.0× 797 1.2× 239 0.4× 956 1.8× 523 1.0× 93 4.3k
António Coca 2.9k 1.3× 559 0.8× 246 0.4× 860 1.6× 426 0.8× 239 4.9k
Jaspal S. Kooner 1.5k 0.7× 905 1.4× 972 1.5× 571 1.1× 351 0.7× 93 4.3k
Andreas J. Flammer 2.3k 1.0× 937 1.4× 234 0.4× 548 1.0× 490 0.9× 136 6.0k
Areef Ishani 994 0.5× 963 1.4× 294 0.5× 589 1.1× 1.1k 2.1× 127 6.7k
Henrik Schirmer 1.9k 0.9× 1.1k 1.6× 914 1.4× 947 1.7× 662 1.2× 182 6.4k
Charles Dillon 1.1k 0.5× 841 1.3× 731 1.1× 295 0.5× 351 0.7× 60 4.6k
Rachel H. Mackey 1.9k 0.9× 983 1.5× 253 0.4× 1.2k 2.3× 458 0.8× 109 4.7k

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 of co-authors of Kam S. Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Kam S. Woo. A scholar is included among the top collaborators of Kam S. Woo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kam S. Woo. Kam S. Woo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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