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
- Sam Toan (5 shared papers)Hao Zhou (5 shared papers)Hang Zhu (5 shared papers)Jun Ren (1 shared paper)Yuchi Han (6 shared papers)Yucheng Chen (5 shared papers)Victor A. Ferrari (2 shared papers)Dinesh Jagasia (1 shared paper)
- Journals
- Journal of Cardiovascular Magnetic Resonance (3 papers)Science Signaling (1 paper)European Heart Journal - Cardiovascular Imaging (1 paper)European Radiology (1 paper)Heart (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 276
- Geriatrics and Gerontology 38
- Infectious Diseases 181
- Neurology 119
- Critical Care and Intensive Care Medicine 27
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 | 284 | |
| 2 | 2020 | 203 | |
| 3 | 2020 | 164 | |
| 4 | 2020 | 115 | |
| 5 | 2022 | 87 | |
| 6 | 2022 | 82 | |
| 7 | 2020 | 47 | |
| 8 | 2020 | 31 | |
| 9 | 2020 | 22 | |
| 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 (276 citations), Geriatrics and Gerontology (38 citations), Infectious Diseases (181 citations), Neurology (119 citations) and Critical Care and Intensive Care Medicine (27 citations). David Mui has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Sam Toan, Hao Zhou, Hang Zhu, Jun Ren, Yuchi Han, Yucheng Chen, Victor A. Ferrari, Dinesh Jagasia, Marielle Scherrer‐Crosbie and Tiffany Chen. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Science Signaling, European Heart Journal - Cardiovascular Imaging, European Radiology 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.