Heiner Greten
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Economics and Econometrics top 1%
- Molecular Biology top 10%
- Co-authors
- John C. LaRosaScott M. GrundyJohn J.P. KasteleinNanette K. WengerJames ShepherdPhilip J. BarterAntonio M. GottoCharles L. Shear
- Topics
- Lipoproteins and Cardiovascular Health (21 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers)Cholesterol and Lipid Metabolism (11 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Heiner Greten
76 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Surgery 3.2k
- Endocrinology, Diabetes and Metabolism 1.7k
- Cardiology and Cardiovascular Medicine 1.2k
- Economics and Econometrics 875
- Molecular Biology 824
Countries citing papers authored by Heiner Greten
This map shows the geographic impact of Heiner Greten'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 Heiner Greten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiner Greten more than expected).
Fields of papers citing papers by Heiner Greten
This network shows the impact of papers produced by Heiner Greten. 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 Heiner Greten. The network helps show where Heiner Greten may publish in the future.
Co-authorship network of co-authors of Heiner Greten
This figure shows the co-authorship network connecting the top 25 collaborators of Heiner Greten. A scholar is included among the top collaborators of Heiner Greten 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 Heiner Greten. Heiner Greten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 110 | |
| 3 | Intensive Lipid Lowering with Atorvastatin in Patients with Stable Coronary Diseasebreakdown → | 2485 |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 21 | |
| 8 | 21 | |
| 9 | 13 | |
| 10 | 24 | |
| 11 | 47 | |
| 12 | 17 | |
| 13 | 195 | |
| 14 | 19 | |
| 15 | 19 | |
| 16 | 35 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 201 | |
| 20 | 8 |
About Heiner Greten
Heiner Greten is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Surgery, having authored 78 papers that have together received 5.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers) and Cholesterol and Lipid Metabolism (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Surgery (3.2k citations) and Cardiology and Cardiovascular Medicine (1.2k citations). Heiner Greten has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include John C. LaRosa, Scott M. Grundy, John J.P. Kastelein, Nanette K. Wenger, James Shepherd, Philip J. Barter, Antonio M. Gotto, Charles L. Shear, Jean‐Charles Fruchart and David D. Waters. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Gastroenterology.
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.