Daniel Correa de
Impact in
-
- Cardiovascular Disease and Adiposity
- Cardiovascular Function and Risk Factors
-
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
- Diet and metabolism studies
- Body Composition Measurement Techniques
Papers in
-
- Cardiovascular Function and Risk Factors 4
- Cardiac Arrhythmias and Treatments 3
- Cardiac pacing and defibrillation studies 2
- Cardiovascular Disease and Adiposity 1
-
- Neurological disorders and treatments 2
- Co-authors
- Yves Cottin (3 shared papers)Véronique L. Roger (3 shared papers)Charlotte Kragelund (3 shared papers)Jong‐Seon Park (3 shared papers)Virend K. Somers (3 shared papers)Randal J. Thomas (3 shared papers)Alka M. Kanaya (3 shared papers)Thais Coutinho (3 shared papers)
- Journals
- Journal of the American College of Cardiology (3 papers)Heart Rhythm (2 papers)JACC. Clinical electrophysiology (1 paper)Heart Lung and Circulation (1 paper)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
Daniel Correa de
7 papers receiving 580 citations
Peers
Comparison fields: 5 of 55
- Cardiology and Cardiovascular Medicine 253
- Physiology 144
- Endocrinology, Diabetes and Metabolism 50
- Public Health, Environmental and Occupational Health 84
- Pharmacy 9
Countries citing papers authored by Daniel Correa de
This map shows the geographic impact of Daniel Correa de'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 Daniel Correa de with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Correa de more than expected).
Fields of papers citing papers by Daniel Correa de
This network shows the impact of papers produced by Daniel Correa de. 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 Daniel Correa de. The network helps show where Daniel Correa de may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Correa de, 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 | 2011 | 325 | |
| 2 | 2013 | 257 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 4 | |
| 5 | 2025 | 1 | |
| 6 | 2012 | 1 | |
| 7 | 2008 | 1 |
About Daniel Correa de
Daniel Correa de is a scholar working on Cardiology and Cardiovascular Medicine, Neurology, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Infectious Diseases, having authored 7 papers that have together received 603 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Neurological disorders and treatments (2 papers), Cardiac pacing and defibrillation studies (2 papers), Molecular Junctions and Nanostructures (1 paper), Cardiovascular Disease and Adiposity (1 paper), Semiconductor materials and devices (1 paper) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (253 citations), Physiology (144 citations), Endocrinology, Diabetes and Metabolism (50 citations), Public Health, Environmental and Occupational Health (84 citations) and Pharmacy (9 citations). Daniel Correa de has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Yves Cottin, Véronique L. Roger, Charlotte Kragelund, Jong‐Seon Park, Virend K. Somers, Randal J. Thomas, Alka M. Kanaya, Thais Coutinho, Luc Lorgis and Lars Køber. Their work appears in journals such as Journal of the American College of Cardiology, Heart Rhythm, JACC. Clinical electrophysiology and Heart Lung 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.