Tom Wong

6.0k citations
142 papers · 3.0k indexed · h-index 30

Impact in

Papers in

Tom Wong

136 papers receiving 2.9k citations

Peers

Tom Wong
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 2.6k
  • Radiology, Nuclear Medicine and Imaging 342
  • Epidemiology 364
  • Internal Medicine 39
  • Surgery 380
Replace Christian Knackstedt with:
Christian Knackstedt Netherlands
Stein Ørn Norway
Henrik Engblom Sweden
Tuomas Kiviniemi Finland
Nathan Manghat United Kingdom
Thomas Tegos Greece
Giuseppe Augello Italy
Thomas Stiermaier Germany
Brage H. Amundsen Norway
Adelina Doltra Spain
Tom Wong relative to Christian Knackstedt Netherlands Christian Knackstedt's profile →
Citations per field
00.5×4.0×
Christian Knackstedt · 1×
Citations per year

Countries citing papers authored by Tom Wong

Since Specialization
Citations

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

Fields of papers citing papers by Tom Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013332
2 2012110
3 2012108
4 2014107
5 201282
6 201981
7 200777
8 201674
9 202069
10 201565
11 201258
12 201157
13 201556
14 201450
15 201549
16 201646
17 201943
18 200443
19 201942
20 202139

About Tom Wong

Tom Wong is a scholar working on Cardiology and Cardiovascular Medicine, Medical Laboratory Technology, Internal Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 142 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (113 papers), Atrial Fibrillation Management and Outcomes (84 papers), Cardiac electrophysiology and arrhythmias (53 papers), Cardiac pacing and defibrillation studies (50 papers), Congenital Heart Disease Studies (16 papers), Cardiac Imaging and Diagnostics (14 papers), Cardiac Structural Anomalies and Repair (11 papers) and Cardiac Valve Diseases and Treatments (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.6k citations), Radiology, Nuclear Medicine and Imaging (342 citations), Epidemiology (364 citations), Internal Medicine (39 citations) and Surgery (380 citations). Tom Wong has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Vias Markides, Wajid Hussain, Julian W.E. Jarman, David G. Jones, Shouvik Haldar, Sandeep Panikker, Dárrel P. Francis, Michael Α. Gatzoulis, Dhiraj Gupta and Rakesh Sharma. Their work appears in journals such as EP Europace, Heart Rhythm, Pacing and Clinical Electrophysiology, International Journal of Cardiology and Journal of Cardiovascular Electrophysiology.

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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