Mary Tan
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Internal Medicine top 2%
- Co-authors
- Anatoly LangerShaun G. GoodmanDavid FitchettAndrew T. YanRaymond T. YanPeter LinLawrence A. LeiterEtienne A. Grima
- Topics
- Acute Myocardial Infarction Research (49 papers)Cardiac Imaging and Diagnostics (25 papers)Atrial Fibrillation Management and Outcomes (19 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Mary Tan
93 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 99
- Cardiology and Cardiovascular Medicine 1.7k
- Surgery 676
- Radiology, Nuclear Medicine and Imaging 523
- Endocrinology, Diabetes and Metabolism 282
- Internal Medicine 249
Countries citing papers authored by Mary Tan
This map shows the geographic impact of Mary Tan'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 Mary Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Tan more than expected).
Fields of papers citing papers by Mary Tan
This network shows the impact of papers produced by Mary Tan. 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 Mary Tan. The network helps show where Mary Tan may publish in the future.
Co-authorship network of co-authors of Mary Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Tan. A scholar is included among the top collaborators of Mary Tan 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 Mary Tan. Mary Tan 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 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | Can Clinical Reminder Help Optimize the Use of Secondary Prevention Therapies in Non-STElevation Acute Coronary Syndrome? | 3 |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 116 | |
| 12 | 14 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 54 | |
| 16 | 28 | |
| 17 | 2 | |
| 18 | 30 | |
| 19 | 13 | |
| 20 | 8 |
About Mary Tan
Mary Tan is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 93 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (49 papers), Cardiac Imaging and Diagnostics (25 papers) and Atrial Fibrillation Management and Outcomes (19 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Internal Medicine (249 citations) and Family Practice (63 citations). Mary Tan has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Anatoly Langer, Shaun G. Goodman, David Fitchett, Andrew T. Yan, Raymond T. Yan, Peter Lin, Lawrence A. Leiter, Etienne A. Grima, Amparo Casanova and Paul W. Armstrong. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Diabetes Care.
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.