Henrik Scharling
- Cardiology and Cardiovascular Medicine top 1%
- Pulmonary and Respiratory Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- Nephrology top 1%
- Co-authors
- Jan Skov JensenGorm Boje JensenPeter LangeJens FribergThomas AlmdalHenrik VestergaardKlaus KlausenNiels Gadsbøll
- Topics
- Blood Pressure and Hypertension Studies (6 papers)Chronic Kidney Disease and Diabetes (5 papers)Atrial Fibrillation Management and Outcomes (4 papers)
- Partner nations
- DenmarkUnited KingdomSwitzerland
In The Last Decade
Henrik Scharling
23 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cardiology and Cardiovascular Medicine 1.3k
- Pulmonary and Respiratory Medicine 656
- Endocrinology, Diabetes and Metabolism 518
- Physiology 476
- Nephrology 460
Countries citing papers authored by Henrik Scharling
This map shows the geographic impact of Henrik Scharling'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 Henrik Scharling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henrik Scharling more than expected).
Fields of papers citing papers by Henrik Scharling
This network shows the impact of papers produced by Henrik Scharling. 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 Henrik Scharling. The network helps show where Henrik Scharling may publish in the future.
Co-authorship network of co-authors of Henrik Scharling
This figure shows the co-authorship network connecting the top 25 collaborators of Henrik Scharling. A scholar is included among the top collaborators of Henrik Scharling 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 Henrik Scharling. Henrik Scharling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 30 | |
| 3 | 67 | |
| 4 | 16 | |
| 5 | 55 | |
| 6 | 432 | |
| 7 | 71 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 65 | |
| 11 | 156 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | The Independent Effect of Type 2 Diabetes Mellitus on Ischemic Heart Disease, Stroke, and Deathbreakdown → | 511 |
| 15 | 185 | |
| 16 | Very Low Levels of Microalbuminuria Are Associated With Increased Risk of Coronary Heart Disease and Death Independently of Renal Function, Hypertension, and Diabetesbreakdown → | 513 |
| 17 | 202 | |
| 18 | 108 | |
| 19 | 207 | |
| 20 | 8 |
About Henrik Scharling
Henrik Scharling is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 2.9k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (6 papers), Chronic Kidney Disease and Diabetes (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Nephrology (460 citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Endocrinology, Diabetes and Metabolism (518 citations). Henrik Scharling has collaborated with scholars based in Denmark, United Kingdom and Switzerland. Frequent co-authors include Jan Skov Jensen, Gorm Boje Jensen, Peter Lange, Jens Friberg, Thomas Almdal, Henrik Vestergaard, Klaus Klausen, Niels Gadsbøll, Peter Schnohr and P. G. Fabricius. Their work appears in journals such as Circulation, Hypertension and European Heart Journal.
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.