Natasja M.S. de Groot

13.7k total citations · 1 hit paper
238 papers, 3.8k citations indexed

About

Natasja M.S. de Groot is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Natasja M.S. de Groot has authored 238 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 217 papers in Cardiology and Cardiovascular Medicine, 24 papers in Epidemiology and 20 papers in Molecular Biology. Recurrent topics in Natasja M.S. de Groot's work include Cardiac Arrhythmias and Treatments (154 papers), Atrial Fibrillation Management and Outcomes (131 papers) and Cardiac electrophysiology and arrhythmias (117 papers). Natasja M.S. de Groot is often cited by papers focused on Cardiac Arrhythmias and Treatments (154 papers), Atrial Fibrillation Management and Outcomes (131 papers) and Cardiac electrophysiology and arrhythmias (117 papers). Natasja M.S. de Groot collaborates with scholars based in Netherlands, United States and Italy. Natasja M.S. de Groot's 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 and has published in prestigious journals such as Science, Circulation and Nature Communications.

In The Last Decade

Natasja M.S. de Groot

223 papers receiving 3.7k citations

Hit Papers

Atrial fibrillation 2022 2026 2023 2024 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Atrial fibrillation
    2022 254 citations Bianca J.J.M. Brundel, Xun Ai et al. Nature Reviews Disease Primers profile →

Peers

Natasja M.S. de Groot
Juan R. Gimeno Spain
J. Martijn Bos United States
Anders Nygren Sweden
Andrea Mazzanti Italy
Jörg Stypmann Germany
Attila Borbély Hungary
Katsuhito Fujiu Japan
Tetsuo Sasano Japan
Lorenzo Monserrat Spain
Stephan Willems Germany
Juan R. Gimeno Spain
Natasja M.S. de Groot
Citations per year, relative to Natasja M.S. de Groot Natasja M.S. de Groot (= 1×) peers Juan R. Gimeno

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 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

20 of 20 papers shown
1.
Dai, Lixia, Can Zhang, Hoang H. Nguyen, et al.. (2025). Small patients, significant findings: Electrophysiological properties of Bachmann’s bundle in pediatric patients. Heart Rhythm. 22(11). 2766–2773.
2.
Ignatiuk, Barbara, et al.. (2024). Integrated bioptome technology with multielectrode high-density mapping system for guided ultraselective endomyocardial biopsy. HeartRhythm Case Reports. 10(12). 872–874. 1 indexed citations
3.
Tilly, Martijn J., et al.. (2024). Burden of cardiometabolic disorders and lifetime risk of new-onset atrial fibrillation among men and women: the Rotterdam Study. European Journal of Preventive Cardiology. 31(9). 1141–1149. 7 indexed citations
4.
5.
Knops, Paul, et al.. (2024). Electrophysiological Markers of Ex-Situ Heart Performance in a Porcine Model of Cardiac Donation After Circulatory Death. Transplant International. 37. 13279–13279. 1 indexed citations
6.
Groot, Natasja M.S. de, André G. Kléber, Sanjiv M. Narayan, et al.. (2024). Atrial fibrillation nomenclature, definitions, and mechanisms: Position paper from the international Working Group of the Signal Summit. Heart Rhythm. 22(6). 1480–1491. 3 indexed citations
7.
Albano, Giovanni, et al.. (2024). Robotic-Assisted Epicardial Hybrid Ablation and Left Appendage Closure in Persistent Atrial Fibrillation: First European Experience. Journal of Clinical Medicine. 13(6). 1563–1563. 4 indexed citations
8.
Waldmann, Victor, Francis Bessière, Sébastien Hascoët, et al.. (2023). Catheter ablation of atrial tachyarrhythmias in patients with atrioventricular septal defect. EP Europace. 25(9). 2 indexed citations
9.
Bogers, Ad J.J.C., et al.. (2023). Acute Biomechanical Effects of Empagliflozin on Living Isolated Human Heart Failure Myocardium. Cardiovascular Drugs and Therapy. 38(4). 659–666. 6 indexed citations
10.
Tilly, Martijn J., Jan A. Kors, Jaap W. Deckers, et al.. (2023). Electrocardiographic parameters and the risk of new-onset atrial fibrillation in the general population: the Rotterdam Study. EP Europace. 25(6). 2 indexed citations
11.
Groot, Natasja M.S. de, et al.. (2022). Case report: peri-device leakage after percutaneous left atrial appendage occlusion: plug, clip, or amputate?. European Heart Journal - Case Reports. 7(1). ytac494–ytac494.
12.
Xi, Qi, Eva A.H. Lanters, Jaap Keijer, et al.. (2022). Disruption of Sarcoplasmic Reticulum‐Mitochondrial Contacts Underlies Contractile Dysfunction in Experimental and Human Atrial Fibrillation: A Key Role of Mitofusin 2. Journal of the American Heart Association. 11(19). e024478–e024478. 15 indexed citations
13.
Schie, Mathijs S. van, et al.. (2022). Degree of Fibrosis in Human Atrial Tissue Is Not the Hallmark Driving AF. Cells. 11(3). 427–427. 9 indexed citations
14.
Brundel, Bianca J.J.M., et al.. (2022). Atrial fibrillation. Nature Reviews Disease Primers. 8(1). 21–21. 254 indexed citations breakdown →
15.
Groot, Natasja M.S. de, et al.. (2021). The Role of Mitochondrial Dysfunction in Atrial Fibrillation: Translation to Druggable Target and Biomarker Discovery. International Journal of Molecular Sciences. 22(16). 8463–8463. 37 indexed citations
16.
Knops, Paul, et al.. (2020). Heterogeneity in Conduction Underlies Obesity-Related Atrial Fibrillation Vulnerability. Circulation Arrhythmia and Electrophysiology. 13(5). e008161–e008161. 18 indexed citations
17.
18.
Hussaarts, Koen G. A. M., Lisette Binkhorst, Esther Oomen‐de Hoop, et al.. (2019). The Risk of QTc-Interval Prolongation in Breast Cancer Patients Treated with Tamoxifen in Combination with Serotonin Reuptake Inhibitors. Pharmaceutical Research. 37(1). 7–7. 9 indexed citations
19.
Teuwen, Christophe P., et al.. (2014). Management of atrial fibrillation in patients with congenital heart defects. Expert Review of Cardiovascular Therapy. 13(1). 57–66. 3 indexed citations
20.
Venn, Oliver, Isaac Turner, Iain Mathieson, et al.. (2014). Strong male bias drives germline mutation in chimpanzees. Science. 344(6189). 1272–1275. 113 indexed citations

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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