Daniél V. Møller
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiovascular Function and Risk Factors
- Atrial Fibrillation Management and Outcomes
- Heart Failure Treatment and Management
- Acute Myocardial Infarction Research
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- Protease and Inhibitor Mechanisms
Papers in
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- Cardiovascular Function and Risk Factors 5
- Cardiac electrophysiology and arrhythmias 2
- Heart Failure Treatment and Management 2
- Acute Myocardial Infarction Research 2
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- Diabetes Treatment and Management 2
- Hormonal Regulation and Hypertension 2
- Co-authors
- Michael Christiansen (8 shared papers)Jørgen Jeppesen (5 shared papers)Paula L. Hedley (7 shared papers)Kasper Iversen (2 shared papers)Peter Riis Hansen (2 shared papers)Jacob Louis Marott (2 shared papers)Stig Lyngbæk (2 shared papers)Jesper Eugen‐Olsen (2 shared papers)
In The Last Decade
Daniél V. Møller
13 papers receiving 338 citations
Peers
Comparison fields: 5 of 64
- Cardiology and Cardiovascular Medicine 216
- Cancer Research 50
- Hematology 36
- Internal Medicine 7
- Nephrology 13
Countries citing papers authored by Daniél V. Møller
This map shows the geographic impact of Daniél V. Møller'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 Daniél V. Møller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniél V. Møller more than expected).
Fields of papers citing papers by Daniél V. Møller
This network shows the impact of papers produced by Daniél V. Møller. 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 Daniél V. Møller. The network helps show where Daniél V. Møller may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniél V. Møller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 102 | |
| 2 | 2012 | 75 | |
| 3 | 2013 | 51 | |
| 4 | 2013 | 49 | |
| 5 | 2020 | 19 | |
| 6 | 2013 | 15 | |
| 7 | 2008 | 14 | |
| 8 | 2010 | 6 | |
| 9 | Long QT syndrome - a genetic cardiac channelopathy. | 2010 | 4 |
| 10 | 2010 | 2 | |
| 11 | 2014 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2013 | 0 |
About Daniél V. Møller
Daniél V. Møller is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Hematology, having authored 14 papers that have together received 341 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Cardiac electrophysiology and arrhythmias (2 papers), Heart Failure Treatment and Management (2 papers), Diabetes Treatment and Management (2 papers), Protease and Inhibitor Mechanisms (2 papers), Acute Myocardial Infarction Research (2 papers), Hormonal Regulation and Hypertension (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (216 citations), Cancer Research (50 citations), Hematology (36 citations), Internal Medicine (7 citations) and Nephrology (13 citations). Daniél V. Møller has collaborated with scholars based in Denmark, Canada and Thailand. Frequent co-authors include Michael Christiansen, Jørgen Jeppesen, Paula L. Hedley, Kasper Iversen, Peter Riis Hansen, Jacob Louis Marott, Stig Lyngbæk, Jesper Eugen‐Olsen, András Varró and Morten S. Olesen. Their work appears in journals such as American Journal of Hypertension, Clinical Chemistry, European Journal of Radiology, Diabetes and Cardiovascular Research.
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.