Matthew T. Roe
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Economics and Econometrics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Deepak L. BhattEric D. PetersonVasant PatelDebabrata MukherjeeStephen G. EllisShaun G. GoodmanPhilippe Gabríel StegHarvey D. White
- Topics
- Acute Myocardial Infarction Research (29 papers)Lipoproteins and Cardiovascular Health (25 papers)Antiplatelet Therapy and Cardiovascular Diseases (17 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Matthew T. Roe
54 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 82
- Surgery 1.3k
- Cardiology and Cardiovascular Medicine 1.0k
- Radiology, Nuclear Medicine and Imaging 323
- Economics and Econometrics 281
- Endocrinology, Diabetes and Metabolism 251
Countries citing papers authored by Matthew T. Roe
This map shows the geographic impact of Matthew T. Roe'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 T. Roe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Roe more than expected).
Fields of papers citing papers by Matthew T. Roe
This network shows the impact of papers produced by Matthew T. Roe. 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 T. Roe. The network helps show where Matthew T. Roe may publish in the future.
Co-authorship network of co-authors of Matthew T. Roe
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Roe. A scholar is included among the top collaborators of Matthew T. Roe 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 Matthew T. Roe. Matthew T. Roe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 33 | |
| 3 | 39 | |
| 4 | 120 | |
| 5 | 59 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 7 | |
| 11 | 61 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 32 | |
| 17 | 41 | |
| 18 | 15 | |
| 19 | 2 | |
| 20 | 43 |
About Matthew T. Roe
Matthew T. Roe is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Internal Medicine, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (29 papers), Lipoproteins and Cardiovascular Health (25 papers) and Antiplatelet Therapy and Cardiovascular Diseases (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Surgery (1.3k citations) and Endocrinology, Diabetes and Metabolism (251 citations). Matthew T. Roe has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Deepak L. Bhatt, Eric D. Peterson, Vasant Patel, Debabrata Mukherjee, Stephen G. Ellis, Shaun G. Goodman, Philippe Gabríel Steg, Harvey D. White, Robert A. Harrington and Gregory G. Schwartz. Their work appears in journals such as The Lancet, Circulation and Journal of the American College of Cardiology.
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.