Sean Kang
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Co-authors
- Paul W.M. FedakDaniyil A. SvystonyukDarrell D. BelkeDavid G. GuzzardiH.E. MewhortSubodh VermaGuoqi TengJeremy D. Collins
- Topics
- Tissue Engineering and Regenerative Medicine (4 papers)Electrospun Nanofibers in Biomedical Applications (3 papers)Cardiac Structural Anomalies and Repair (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicinePulmonary and Respiratory MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Sean Kang
12 papers receiving 749 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Cardiology and Cardiovascular Medicine 415
- Pulmonary and Respiratory Medicine 324
- Surgery 226
- Endocrinology, Diabetes and Metabolism 164
- Molecular Biology 127
Countries citing papers authored by Sean Kang
This map shows the geographic impact of Sean Kang'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 Sean Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Kang more than expected).
Fields of papers citing papers by Sean Kang
This network shows the impact of papers produced by Sean Kang. 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 Sean Kang. The network helps show where Sean Kang may publish in the future.
Co-authorship network of co-authors of Sean Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Sean Kang. A scholar is included among the top collaborators of Sean Kang 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 Sean Kang. Sean Kang 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 | 15 | |
| 3 | 26 | |
| 4 | 128 | |
| 5 | 38 | |
| 6 | 24 | |
| 7 | 93 | |
| 8 | 46 | |
| 9 | 23 | |
| 10 | Valve-Related Hemodynamics Mediate Human Bicuspid Aortopathybreakdown → | 328 |
| 11 | 32 | |
| 12 | 5 |
About Sean Kang
Sean Kang is a scholar working on Biomaterials, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 12 papers that have together received 760 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (415 citations), Pulmonary and Respiratory Medicine (324 citations) and Endocrinology, Diabetes and Metabolism (164 citations). Sean Kang has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Paul W.M. Fedak, Daniyil A. Svystonyuk, Darrell D. Belke, David G. Guzzardi, H.E. Mewhort, Subodh Verma, Guoqi Teng, Jeremy D. Collins, Alex J. Barker and S. Chris Malaisrie. Their work appears in journals such as Journal of the American College of Cardiology, Scientific Reports and The FASEB 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.