Amber Ng
Impact in
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- Sports Performance and Training
- Sports injuries and prevention
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- Cardiovascular and exercise physiology
Papers in
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- Cardiovascular and exercise physiology 4
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- Sports Performance and Training 3
- Co-authors
- Jane A. Kent‐Braun (6 shared papers)Deborah F. Gelinas (3 shared papers)Robert G. Miller (3 shared papers)Theodore F. Towse (1 shared paper)Julie Doyle (1 shared paper)Douglas R. Seals (3 shared papers)Robin Callister (2 shared papers)David G. Johnson (2 shared papers)
- Journals
- Journal of Applied Physiology (5 papers)Muscle & Nerve (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)The Journals of Gerontology Series A (1 paper)Hormone Research (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Amber Ng
10 papers receiving 920 citations
Peers
Comparison fields: 5 of 79
- Orthopedics and Sports Medicine 220
- Complementary and alternative medicine 208
- Pathology and Forensic Medicine 256
- Cardiology and Cardiovascular Medicine 218
- Rehabilitation 50
Countries citing papers authored by Amber Ng
This map shows the geographic impact of Amber 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 Amber Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber Ng more than expected).
Fields of papers citing papers by Amber Ng
This network shows the impact of papers produced by Amber 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 Amber Ng. The network helps show where Amber Ng may publish in the future.
Co-authors
The 17 scholars most cited alongside Amber Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 277 | |
| 2 | 1997 | 209 | |
| 3 | 2004 | 152 | |
| 4 | 1994 | 104 | |
| 5 | 1994 | 76 | |
| 6 | 2000 | 43 | |
| 7 | 1994 | 42 | |
| 8 | 1999 | 39 | |
| 9 | 2008 | 19 | |
| 10 | 1998 | 15 |
About Amber Ng
Amber Ng is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine, Cardiology and Cardiovascular Medicine, Neurology and Pathology and Forensic Medicine, having authored 10 papers that have together received 976 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (4 papers), Multiple Sclerosis Research Studies (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Muscle activation and electromyography studies (3 papers), Sports Performance and Training (3 papers), Peripheral Neuropathies and Disorders (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (220 citations), Complementary and alternative medicine (208 citations), Pathology and Forensic Medicine (256 citations), Cardiology and Cardiovascular Medicine (218 citations) and Rehabilitation (50 citations). Amber Ng has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jane A. Kent‐Braun, Deborah F. Gelinas, Robert G. Miller, Theodore F. Towse, Julie Doyle, Douglas R. Seals, Robin Callister, David G. Johnson, Gary A. Dudley and Michael J. Castro. Their work appears in journals such as Journal of Applied Physiology, Muscle & Nerve, American Journal of Physiology-Heart and Circulatory Physiology, The Journals of Gerontology Series A and Hormone Research.
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.