M. Ng

1.3k citations
54 papers · 903 · h-index 12

Impact in

Papers in

M. Ng

49 papers receiving 885 citations

Peers

M. Ng
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 409
  • Neuropsychology and Physiological Psychology 14
  • Radiology, Nuclear Medicine and Imaging 139
  • Surgery 223
  • Epidemiology 140
Replace Matthias C. Vöhringer with:
Matthias C. Vöhringer Germany
Emil R. Hayek United States
Vivian Hsu United States
Robert P. Gallegos United States
Shaun W. Leong Canada
Ling Chen China
Christian M. Felix Switzerland
Nahide Gökçora Türkiye
J. B. Lowe New Zealand
Rafael S. Glikstein Canada
M. Ng relative to Matthias C. Vöhringer Germany Matthias C. Vöhringer's profile →
Citations per field
00.5×2×3.3×
Matthias C. Vöhringer · 1×
Citations per year

Countries citing papers authored by M. Ng

Since Specialization
Citations

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

Fields of papers citing papers by M. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008237
2 2017209
3 201359
4 201358
5 202354
6 201447
7 200931
8 201824
9 201923
10 198421
11 201415
12 201213
13 200812
14 202111
15 202510
16 20069
17 20248
18 20086
19 20254
20
Impaired baseline coronary microcirculatory reserve predicts peri-percutaneous coronary intervention myocardial necrosis
20104

About M. Ng

M. Ng is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 54 papers that have together received 903 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (14 papers), Coronary Interventions and Diagnostics (6 papers), Infective Endocarditis Diagnosis and Management (6 papers), Cardiac Imaging and Diagnostics (6 papers), Acute Myocardial Infarction Research (6 papers), Angiogenesis and VEGF in Cancer (4 papers), Peripheral Artery Disease Management (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (409 citations), Neuropsychology and Physiological Psychology (14 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Surgery (223 citations) and Epidemiology (140 citations). M. Ng has collaborated with scholars based in Australia, United States and Hong Kong. Frequent co-authors include William Fuller Fearon, Jennifer A. Tremmel, Peter J. Fitzgerald, Andrew Wilson, Randall H. Vagelos, Paul G. Yock, David P. Lee, Alan C. Yeung, Ingela Schnittger and Todd J. Brinton. Their work appears in journals such as European Heart Journal, Journal of the American College of Cardiology, Heart Lung and Circulation, Journal of Interventional Cardiology and Heart.

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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