Marianne Benn
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Cancer Research top 1%
- Epidemiology top 2%
- Co-authors
- Børge G. NordestgaardAnne Tybjærg‐HansenPeter SchnohrAnette VarboRuth Frikke‐SchmidtGerald F. WattsGorm Boje JensenPia R. Kamstrup
- Topics
- Lipoproteins and Cardiovascular Health (37 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (32 papers)Genetic Associations and Epidemiology (20 papers)
- Partner nations
- DenmarkUnited KingdomUnited States
In The Last Decade
Marianne Benn
112 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Surgery 4.1k
- Endocrinology, Diabetes and Metabolism 3.3k
- Cardiology and Cardiovascular Medicine 2.6k
- Cancer Research 1.3k
- Epidemiology 1.2k
Countries citing papers authored by Marianne Benn
This map shows the geographic impact of Marianne Benn'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 Marianne Benn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marianne Benn more than expected).
Fields of papers citing papers by Marianne Benn
This network shows the impact of papers produced by Marianne Benn. 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 Marianne Benn. The network helps show where Marianne Benn may publish in the future.
Co-authorship network of co-authors of Marianne Benn
This figure shows the co-authorship network connecting the top 25 collaborators of Marianne Benn. A scholar is included among the top collaborators of Marianne Benn 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 Marianne Benn. Marianne Benn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2025 Focused Update of the 2019 ESC/EAS Guidelines for the management of dyslipidaemiasbreakdown → | 16 |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | Women, lipids, and atherosclerotic cardiovascular disease: a call to action from the European Atherosclerosis Societybreakdown → | 101 |
| 11 | 13 | |
| 12 | 22 | |
| 13 | 7 | |
| 14 | 36 | |
| 15 | 17 | |
| 16 | 29 | |
| 17 | 14 | |
| 18 | 12 | |
| 19 | 72 | |
| 20 | 7 |
About Marianne Benn
Marianne Benn is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 121 papers that have together received 8.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (37 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (32 papers) and Genetic Associations and Epidemiology (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.3k citations), Cardiology and Cardiovascular Medicine (2.6k citations) and Surgery (4.1k citations). Marianne Benn has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Børge G. Nordestgaard, Anne Tybjærg‐Hansen, Peter Schnohr, Anette Varbo, Ruth Frikke‐Schmidt, Gerald F. Watts, Gorm Boje Jensen, Pia R. Kamstrup, Anders Berg Jørgensen and P. Brøndum-Jacobsen. Their work appears in journals such as JAMA, Journal of Biological Chemistry 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.