Natasja M.S. de Groot

13.7k citations
238 papers · 3.8k indexed · 1 hit paper · h-index 30

Natasja M.S. de Groot

223 papers receiving 3.7k citations

Hit Papers

Atrial fibrillation254202220262023202450100150200250

Peers

Natasja M.S. de Groot
Comparison fields: 5 of 134
  • Cardiology and Cardiovascular Medicine 3.0k
  • Epidemiology 494
  • Internal Medicine 33
  • Radiology, Nuclear Medicine and Imaging 201
  • Molecular Biology 495
Replace Katsuhito Fujiu with:
Katsuhito Fujiu Japan
Jörg Stypmann Germany
Partha Dutta United States
Attila Borbély Hungary
Juan Cinca Spain
Hidekazu Tanaka Japan
Akihiko Nogami Japan
René R. Sevag Packard United States
Robert Helm United States
Sander Verheule Netherlands
Natasja M.S. de Groot relative to Katsuhito Fujiu Japan Katsuhito Fujiu's profile →
Citations per field
00.5×2.5×
Katsuhito Fujiu · 1×
Citations per year

Countries citing papers authored by Natasja M.S. de Groot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Natasja M.S. de Groot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Natasja M.S. de Groot Line = papers co-authored together Natasja M.S. de Groot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20247
4 20241
5 20241
6 20243
7 20244
8 20232
9 20236
10 20232
11 20220
12 202215
13 20229
14
Atrial fibrillationbreakdown →
2022254
15 202137
16 202018
17 202011
18 20199
19 20143
20 2014113

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), Cardiac electrophysiology and arrhythmias (117 papers), Cardiac pacing and defibrillation studies (49 papers), ECG Monitoring and Analysis (26 papers), Congenital Heart Disease Studies (22 papers), Cardiovascular Effects of Exercise (13 papers) and Cardiac Imaging and Diagnostics (11 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.

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.

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