David Mui
Impact in
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- Cardiovascular Function and Risk Factors
- Geriatrics and Gerontology top 10%
Papers in
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- Mitochondrial Function and Pathology 6
-
- Cardiac pacing and defibrillation studies 2
- Cardiovascular Function and Risk Factors 2
- Cardiac Arrhythmias and Treatments 1
- Co-authors
- Hao Zhou (5 shared papers)Sam Toan (5 shared papers)Hang Zhu (5 shared papers)Jun Ren (1 shared paper)Yucheng Chen (5 shared papers)Yuchi Han (6 shared papers)Victor A. Ferrari (2 shared papers)Yu Min Kang (1 shared paper)
- Journals
- Journal of Cardiovascular Magnetic Resonance (3 papers)Heart (1 paper)Ageing Research Reviews (1 paper)Science Signaling (1 paper)European Heart Journal - Cardiovascular Imaging (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
David Mui
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 279
- Geriatrics and Gerontology 38
- Infectious Diseases 185
- Neurology 120
- Critical Care and Intensive Care Medicine 28
Countries citing papers authored by David Mui
This map shows the geographic impact of David Mui'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 David Mui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mui more than expected).
Fields of papers citing papers by David Mui
This network shows the impact of papers produced by David Mui. 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 David Mui. The network helps show where David Mui may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mui, 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 | 2020 | 289 | |
| 2 | 2020 | 203 | |
| 3 | 2020 | 164 | |
| 4 | 2020 | 115 | |
| 5 | 2022 | 87 | |
| 6 | 2022 | 82 | |
| 7 | 2020 | 47 | |
| 8 | 2020 | 31 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 6 | |
| 15 | 2023 | 5 |
About David Mui
David Mui is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Epidemiology and Surgery, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac pacing and defibrillation studies (2 papers), Cardiovascular Function and Risk Factors (2 papers), Autophagy in Disease and Therapy (2 papers), Cardiac Arrhythmias and Treatments (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (279 citations), Geriatrics and Gerontology (38 citations), Infectious Diseases (185 citations), Neurology (120 citations) and Critical Care and Intensive Care Medicine (28 citations). David Mui has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hao Zhou, Sam Toan, Hang Zhu, Jun Ren, Yucheng Chen, Yuchi Han, Victor A. Ferrari, Yu Min Kang, Tiffany Chen and Dinesh Jagasia. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Heart, Ageing Research Reviews, Science Signaling and European Heart Journal - Cardiovascular Imaging.
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.