Raphaël Duivenvoorden
- Cardiology and Cardiovascular Medicine top 5%
- Immunology top 10%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Co-authors
- John J.P. KasteleinWillem J. M. MulderMihai G. NeteaEric de GrootErik S.G. StroesJordi OchandoZahi A. FayadJoren C. Madsen
- Topics
- Cardiovascular Health and Disease Prevention (17 papers)Cerebrovascular and Carotid Artery Diseases (14 papers)COVID-19 Clinical Research Studies (8 papers)
- Partner nations
- NetherlandsUnited StatesSpain
In The Last Decade
Raphaël Duivenvoorden
46 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cardiology and Cardiovascular Medicine 487
- Immunology 417
- Surgery 409
- Pulmonary and Respiratory Medicine 357
- Molecular Biology 315
Countries citing papers authored by Raphaël Duivenvoorden
This map shows the geographic impact of Raphaël Duivenvoorden'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 Raphaël Duivenvoorden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Duivenvoorden more than expected).
Fields of papers citing papers by Raphaël Duivenvoorden
This network shows the impact of papers produced by Raphaël Duivenvoorden. 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 Raphaël Duivenvoorden. The network helps show where Raphaël Duivenvoorden may publish in the future.
Co-authorship network of co-authors of Raphaël Duivenvoorden
This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Duivenvoorden. A scholar is included among the top collaborators of Raphaël Duivenvoorden 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 Raphaël Duivenvoorden. Raphaël Duivenvoorden 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 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 36 | |
| 8 | 52 | |
| 9 | 115 | |
| 10 | 57 | |
| 11 | 12 | |
| 12 | 25 | |
| 13 | 10 | |
| 14 | 54 | |
| 15 | 2 | |
| 16 | 50 | |
| 17 | 8 | |
| 18 | Simvastatin with or without ezetimibe in familial hypercholesterolemia (vol 358, pg 1431, 2008) | 10 |
| 19 | 203 | |
| 20 | 43 |
About Raphaël Duivenvoorden
Raphaël Duivenvoorden is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Immunology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (17 papers), Cerebrovascular and Carotid Artery Diseases (14 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (487 citations), Immunology (417 citations) and Endocrinology, Diabetes and Metabolism (183 citations). Raphaël Duivenvoorden has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include John J.P. Kastelein, Willem J. M. Mulder, Mihai G. Netea, Eric de Groot, Erik S.G. Stroes, Jordi Ochando, Zahi A. Fayad, Joren C. Madsen, Michiel L. Bots and Marijn C. Meuwese. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.