Tom Kai Ming Wang

500 total citations
49 papers, 335 citations indexed

About

Tom Kai Ming Wang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tom Kai Ming Wang has authored 49 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cardiology and Cardiovascular Medicine, 15 papers in Surgery and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tom Kai Ming Wang's work include Acute Myocardial Infarction Research (11 papers), Atrial Fibrillation Management and Outcomes (9 papers) and Cardiac Health and Mental Health (9 papers). Tom Kai Ming Wang is often cited by papers focused on Acute Myocardial Infarction Research (11 papers), Atrial Fibrillation Management and Outcomes (9 papers) and Cardiac Health and Mental Health (9 papers). Tom Kai Ming Wang collaborates with scholars based in New Zealand, United States and Australia. Tom Kai Ming Wang's co-authors include Tharumenthiran Ramanathan, Michael T.M. Wang, Andrew Kerr, Greg Gamble, Peter Ruygrok, Yannan Jiang, Mark R. Marshall, Corina Grey, Janarthanan Sathananthan and James Pemberton and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Tom Kai Ming Wang

44 papers receiving 329 citations

Peers

Tom Kai Ming Wang
Comparison fields: 5 of 49
  • Cardiology and Cardiovascular Medicine 244
  • Surgery 91
  • Epidemiology 73
  • Pulmonary and Respiratory Medicine 66
  • Radiology, Nuclear Medicine and Imaging 52
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Citations per field, relative to Tom Kai Ming Wang
Tom Kai Ming Wang · 1×
Citations per year, relative to Tom Kai Ming Wang
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Countries citing papers authored by Tom Kai Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tom Kai Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Kai Ming Wang. 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 Tom Kai Ming Wang. The network helps show where Tom Kai Ming Wang may publish in the future.

Co-authorship network of co-authors of Tom Kai Ming Wang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 3
6 13
7 3
8 1
9 3
10 1
11 1
12 10
13
A decade of improvement in the management of New Zealand ST-elevation myocardial infarction (STEMI) patients: results from the New Zealand Acute Coronary Syndrome (ACS) Audit Group national audits of 2002, 2007 and 2012.
3
14 33
15 6
16 22
17 1
18 44
19 19
20 12

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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