Tim Dong
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Cardiac Valve Diseases and Treatments
- Cardiac, Anesthesia and Surgical Outcomes
- Atrial Fibrillation Management and Outcomes
Papers in
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- Cardiac Valve Diseases and Treatments 6
- Cardiac, Anesthesia and Surgical Outcomes 2
- Atrial Fibrillation Management and Outcomes 2
- Surgery 5
- Cardiac and Coronary Surgery Techniques 4
- Surgical Simulation and Training 1
- Co-authors
- Gianni D. Angelini (23 shared papers)Arnaldo Dimagli (18 shared papers)Jeremy Chan (22 shared papers)Shubhra Sinha (16 shared papers)Daniel Fudulu (22 shared papers)Umberto Benedetto (8 shared papers)Massimo Caputo (8 shared papers)Pradeep Narayan (10 shared papers)
- Journals
- European Journal of Cardio-Thoracic Surgery (9 papers)Frontiers in Cardiovascular Medicine (2 papers)International Journal of Cardiology (2 papers)Biomedicines (1 paper)Metabolomics (1 paper)
- Partner nations
- United KingdomIndiaItaly
In The Last Decade
Tim Dong
24 papers receiving 147 citations
Peers
Comparison fields: 5 of 37
- Health Informatics 20
- Cardiology and Cardiovascular Medicine 46
- Surgery 29
- General Psychology 1
- Health Information Management 3
Countries citing papers authored by Tim Dong
This map shows the geographic impact of Tim Dong'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 Tim Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Dong more than expected).
Fields of papers citing papers by Tim Dong
This network shows the impact of papers produced by Tim Dong. 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 Tim Dong. The network helps show where Tim Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 20 | |
| 2 | 2024 | 13 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 11 | |
| 6 | 2024 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 1978 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 2 |
About Tim Dong
Tim Dong is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Public Health, Environmental and Occupational Health, Biotechnology and Infectious Diseases, having authored 34 papers that have together received 150 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (6 papers), Cardiac and Coronary Surgery Techniques (4 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Microbial Metabolism and Applications (2 papers), Surgical Simulation and Training (1 paper), Streptococcal Infections and Treatments (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Health Informatics (20 citations), Cardiology and Cardiovascular Medicine (46 citations), Surgery (29 citations), General Psychology (1 citation) and Health Information Management (3 citations). Tim Dong has collaborated with scholars based in United Kingdom, India and Italy. Frequent co-authors include Gianni D. Angelini, Arnaldo Dimagli, Jeremy Chan, Shubhra Sinha, Daniel Fudulu, Umberto Benedetto, Massimo Caputo, Pradeep Narayan, et al and Hunaid A. Vohra. Their work appears in journals such as European Journal of Cardio-Thoracic Surgery, Frontiers in Cardiovascular Medicine, International Journal of Cardiology, Biomedicines and Metabolomics.
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.