Natasja M.S. de Groot
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology
- Epidemiology top 5%
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Maurits A. AllessieAd J.J.C. BogersMartin J. SchalijBianca J.J.M. BrundelUlrich SchottenRichard HoubenJoep L.R.M. SmeetsEric Boersma
- Topics
- Cardiac Arrhythmias and Treatments (154 papers)Atrial Fibrillation Management and Outcomes (131 papers)Cardiac electrophysiology and arrhythmias (117 papers)
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
Natasja M.S. de Groot
223 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cardiology and Cardiovascular Medicine 3.0k
- Molecular Biology 495
- Epidemiology 494
- Surgery 273
- Radiology, Nuclear Medicine and Imaging 201
Countries citing papers authored by Natasja M.S. de Groot
This map shows the geographic impact of Natasja M.S. de Groot'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 Natasja M.S. de Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasja M.S. de Groot more than expected).
Fields of papers citing papers by Natasja M.S. de Groot
This network shows the impact of papers produced by Natasja M.S. de Groot. 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 Natasja M.S. de Groot. The network helps show where Natasja M.S. de Groot may publish in the future.
Co-authorship network of co-authors of Natasja M.S. de Groot
This figure shows the co-authorship network connecting the top 25 collaborators of Natasja M.S. de Groot. A scholar is included among the top collaborators of Natasja M.S. de Groot 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 Natasja M.S. de Groot. Natasja M.S. de Groot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 15 | |
| 13 | 9 | |
| 14 | Atrial fibrillationbreakdown → | 254 |
| 15 | 37 | |
| 16 | 18 | |
| 17 | 11 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | 113 |
About Natasja M.S. de Groot
Natasja M.S. de Groot is a scholar working on Cardiology and Cardiovascular Medicine, Computational Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 238 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (154 papers), Atrial Fibrillation Management and Outcomes (131 papers) and Cardiac electrophysiology and arrhythmias (117 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.0k citations), Epidemiology (494 citations) and Internal Medicine (33 citations). Natasja M.S. de Groot has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Maurits A. Allessie, Ad J.J.C. Bogers, Martin J. Schalij, Bianca J.J.M. Brundel, Ulrich Schotten, Richard Houben, Joep L.R.M. Smeets, Eric Boersma, Harry J.G.M. Crijns and Charles Kik. Their work appears in journals such as Science, Circulation and Nature Communications.
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.