Daniel R. Wong
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Epidemiology top 5%
- Neurology top 5%
- Co-authors
- Cameron D. WrightDean M. DonahueHenning A. GaissertHermes C. GrilloDouglas J. MathisenJohn C. WainAtul J. ButteJian Ye
- Topics
- Cardiac Valve Diseases and Treatments (15 papers)Aortic Disease and Treatment Approaches (9 papers)Infective Endocarditis Diagnosis and Management (9 papers)
- Cited by
- Cardiology and Cardiovascular MedicineAnesthesiology and Pain MedicinePulmonary and Respiratory Medicine
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Daniel R. Wong
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Pulmonary and Respiratory Medicine 595
- Cardiology and Cardiovascular Medicine 555
- Surgery 516
- Epidemiology 497
- Neurology 237
Countries citing papers authored by Daniel R. Wong
This map shows the geographic impact of Daniel R. Wong'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 Daniel R. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Wong more than expected).
Fields of papers citing papers by Daniel R. Wong
This network shows the impact of papers produced by Daniel R. Wong. 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 Daniel R. Wong. The network helps show where Daniel R. Wong may publish in the future.
Co-authorship network of co-authors of Daniel R. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Wong. A scholar is included among the top collaborators of Daniel R. Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel R. Wong. Daniel R. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 102 | |
| 10 | 16 | |
| 11 | 59 | |
| 12 | 29 | |
| 13 | 99 | |
| 14 | 39 | |
| 15 | 70 | |
| 16 | 89 | |
| 17 | 186 | |
| 18 | 87 | |
| 19 | 265 | |
| 20 | 11 |
About Daniel R. Wong
Daniel R. Wong is a scholar working on Cardiology and Cardiovascular Medicine, Biophysics and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (15 papers), Aortic Disease and Treatment Approaches (9 papers) and Infective Endocarditis Diagnosis and Management (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (555 citations), Anesthesiology and Pain Medicine (123 citations) and Pulmonary and Respiratory Medicine (595 citations). Daniel R. Wong has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Cameron D. Wright, Dean M. Donahue, Henning A. Gaissert, Hermes C. Grillo, Douglas J. Mathisen, John C. Wain, Atul J. Butte, Jian Ye, John G. Webb and Anson Cheung. Their work appears in journals such as Nature Communications, Bioinformatics and American Heart Journal.
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.