Wai-man Cheung

696 citations
16 papers · 547 indexed · h-index 10
Topics
Blood Coagulation and Thrombosis Mechanisms (6 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers)Cardiac electrophysiology and arrhythmias (5 papers)
Partner nations
United StatesChina

In The Last Decade

Wai-man Cheung

16 papers receiving 524 citations

Peers

Wai-man Cheung
Comparison fields: 5 of 69
  • Hematology 326
  • Genetics 172
  • Cardiology and Cardiovascular Medicine 149
  • Cancer Research 124
  • Molecular Biology 84
Replace K. Schatteman with:
K. Schatteman Belgium
Isabell Seitz Germany
Marion T.J. van den Bosch United Kingdom
Rahn Kollander United States
P K Schick United States
George C. Haralabopoulos Greece
Christelle Nonne France
Raymond Piatt United States
Aleksandra Stojanovic‐Terpo United States
Behnoush Parviz Germany
Wai-man Cheung relative to K. Schatteman Belgium K. Schatteman's profile →
Citations per field
00.5×
K. Schatteman · 1×
Citations per year

Countries citing papers authored by Wai-man Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Wai-man Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai-man Cheung. 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-man Cheung. The network helps show where Wai-man Cheung may publish in the future.

Co-authorship network of co-authors of Wai-man Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Wai-man Cheung. A scholar is included among the top collaborators of Wai-man Cheung 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 Wai-man Cheung. Wai-man Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 30
2 8
3 3
4 54
5 57
6 95
7 53
8 49
9 6
10 120
11 4
12 9
13 19
14 26
15 6
16 8

About Wai-man Cheung

Wai-man Cheung is a scholar working on Hematology, Genetics and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 547 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Hematology (326 citations), Genetics (172 citations) and Internal Medicine (32 citations). Wai-man Cheung has collaborated with scholars based in United States and China. Frequent co-authors include Bruce P. Damiano, Patricia Andrade‐Gordon, Claudia K. Derian, Michael R. D’Andrea, Peter R. Maroko, Lair G.T. Ribeiro, Wai‐Ping Fung‐Leung, Richard D. Ye, Per A. Peterson and Charlotte M. Keenan. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Journal of Medicinal Chemistry.

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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