Matthew Dai
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Cardiac electrophysiology and arrhythmias
- Chemotherapy-induced cardiotoxicity and mitigation
- Atrial Fibrillation Management and Outcomes
Papers in
-
- Cardiac electrophysiology and arrhythmias 4
- Cardiac pacing and defibrillation studies 2
- Atrial Fibrillation Management and Outcomes 2
- Cardiac Arrhythmias and Treatments 1
- Chemotherapy-induced cardiotoxicity and mitigation 1
- Co-authors
- David Park (9 shared papers)Anthony Aizer (8 shared papers)Chirag R. Barbhaiya (9 shared papers)Larry A. Chinitz (9 shared papers)Scott Bernstein (9 shared papers)Lior Jankelson (8 shared papers)Douglas Holmes (7 shared papers)Ehud Chorin (3 shared papers)
- Journals
- Heart Rhythm (2 papers)Nature Medicine (1 paper)Amyloid (1 paper)Nature Communications (1 paper)JACC. Clinical electrophysiology (1 paper)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Matthew Dai
12 papers receiving 671 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 281
- Cardiology and Cardiovascular Medicine 181
- Neurology 103
- Ophthalmology 37
- Toxicology 13
Countries citing papers authored by Matthew Dai
This map shows the geographic impact of Matthew Dai'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 Matthew Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Dai more than expected).
Fields of papers citing papers by Matthew Dai
This network shows the impact of papers produced by Matthew Dai. 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 Matthew Dai. The network helps show where Matthew Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Dai, 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 | 250 | |
| 2 | 2020 | 193 | |
| 3 | 2014 | 115 | |
| 4 | 2020 | 59 | |
| 5 | 2012 | 19 | |
| 6 | 2021 | 15 | |
| 7 | 2019 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 0 | |
| 14 | 2024 | 0 |
About Matthew Dai
Matthew Dai is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Molecular Biology, Surgery and Critical Care and Intensive Care Medicine, having authored 14 papers that have together received 685 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Cardiac pacing and defibrillation studies (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), ATP Synthase and ATPases Research (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Mitochondrial Function and Pathology (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Infectious Diseases (281 citations), Cardiology and Cardiovascular Medicine (181 citations), Neurology (103 citations), Ophthalmology (37 citations) and Toxicology (13 citations). Matthew Dai has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include David Park, Anthony Aizer, Chirag R. Barbhaiya, Larry A. Chinitz, Scott Bernstein, Lior Jankelson, Douglas Holmes, Ehud Chorin, Michael Spinelli and Eric Shulman. Their work appears in journals such as Heart Rhythm, Nature Medicine, Amyloid, Nature Communications and JACC. Clinical 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.