Benoît J. Arsenault
- Cardiology and Cardiovascular Medicine top 0.5%
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 1%
- Physiology top 1%
- Co-authors
- Jean‐Pierre DesprésS. Matthijs BoekholdtJohn J.P. KasteleinNicholas J. WarehamPhilip J. BarterKay‐Tee KhawPatrick MathieuRobert Ross
- Topics
- Lipoproteins and Cardiovascular Health (68 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers)Cardiac Valve Diseases and Treatments (34 papers)
- Journals
- JAMACirculationSHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Benoît J. Arsenault
160 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cardiology and Cardiovascular Medicine 3.2k
- Surgery 3.2k
- Endocrinology, Diabetes and Metabolism 2.3k
- Epidemiology 1.9k
- Physiology 1.7k
Countries citing papers authored by Benoît J. Arsenault
This map shows the geographic impact of Benoît J. Arsenault'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 Benoît J. Arsenault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît J. Arsenault more than expected).
Fields of papers citing papers by Benoît J. Arsenault
This network shows the impact of papers produced by Benoît J. Arsenault. 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 Benoît J. Arsenault. The network helps show where Benoît J. Arsenault may publish in the future.
Co-authorship network of co-authors of Benoît J. Arsenault
This figure shows the co-authorship network connecting the top 25 collaborators of Benoît J. Arsenault. A scholar is included among the top collaborators of Benoît J. Arsenault 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 Benoît J. Arsenault. Benoît J. Arsenault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 17 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 48 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 37 | |
| 13 | 10 | |
| 14 | 16 | |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 15 | |
| 18 | Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesitybreakdown → | 1094 |
| 19 | 12 | |
| 20 | 7 |
About Benoît J. Arsenault
Benoît J. Arsenault is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 170 papers that have together received 8.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (68 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers) and Cardiac Valve Diseases and Treatments (34 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Cardiology and Cardiovascular Medicine (3.2k citations) and Surgery (3.2k citations). Benoît J. Arsenault has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Jean‐Pierre Després, S. Matthijs Boekholdt, John J.P. Kastelein, Nicholas J. Wareham, Philip J. Barter, Kay‐Tee Khaw, Patrick Mathieu, Robert Ross, Ian J. Neeland and Frank B. Hu. Their work appears in journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.
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.