Erik Badings

1.4k total citations
31 papers, 847 citations indexed

About

Erik Badings is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Erik Badings has authored 31 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Erik Badings's work include Acute Myocardial Infarction Research (21 papers), Coronary Interventions and Diagnostics (11 papers) and Cardiac Imaging and Diagnostics (10 papers). Erik Badings is often cited by papers focused on Acute Myocardial Infarction Research (21 papers), Coronary Interventions and Diagnostics (11 papers) and Cardiac Imaging and Diagnostics (10 papers). Erik Badings collaborates with scholars based in Netherlands, United Kingdom and United States. Erik Badings's co-authors include Dirk J. Lok, Jan van Wijngaarden, Dirk J. van Veldhuisen, Arnoud W.J. van ‘t Hof, Sjoukje I. Lok, Rudolf A. de Boer, Peter van der Meer, Aize van der Sluis, Rudolf T Tolsma and Marion Fokkert and has published in prestigious journals such as The Lancet, Circulation and European Heart Journal.

In The Last Decade

Erik Badings

30 papers receiving 826 citations

Peers

Erik Badings
Luciano Consuegra Spain
Rafał Januszek Poland
Nisha Arenja Switzerland
Estelle Torbey United States
Cosme García‐García Spain
Herbert De Raedt Belgium
Hirokazu Konishi Japan
Murat Uğur Türkiye
Sunny Goel United States
F Funck France
Luciano Consuegra Spain
Erik Badings
Citations per year, relative to Erik Badings Erik Badings (= 1×) peers Luciano Consuegra

Countries citing papers authored by Erik Badings

Since Specialization
Citations

This map shows the geographic impact of Erik Badings'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 Erik Badings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Badings more than expected).

Fields of papers citing papers by Erik Badings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Badings. 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 Erik Badings. The network helps show where Erik Badings may publish in the future.

Co-authorship network of co-authors of Erik Badings

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Badings. A scholar is included among the top collaborators of Erik Badings 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 Erik Badings. Erik Badings 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.
Rienstra, Michiel, Aaf F.M. Kuijper, Sabine Eijsbouts, et al.. (2025). Flecainide acetate inhalation solution for cardioversion of recent-onset, symptomatic atrial fibrillation: results of the phase 3 RESTORE-1 trial. EP Europace. 27(4). 1 indexed citations
2.
Kotanidis, Christos P., Shamir R. Mehta, Erik Badings, et al.. (2025). Early Versus Delayed Invasive Management of Female Patients With Non–ST-Elevation Acute Coronary Syndrome: An Individual Patient Data Meta-Analysis. Circulation Cardiovascular Interventions. 18(3). e014763–e014763. 2 indexed citations
3.
Jager, F.C.A. den Hartog, et al.. (2025). Hospital-at-Home care for acute heart failure: Feasibility and safety pilot. Netherlands Heart Journal. 33(5). 157–162.
4.
Ruskin, Jeremy N., A. John Camm, Christopher Dufton, et al.. (2024). Orally Inhaled Flecainide for Conversion of Atrial Fibrillation to Sinus Rhythm. JACC. Clinical electrophysiology. 10(6). 1021–1033. 10 indexed citations
5.
Zwart, Bastiaan, Bimmer E. Claessen, Peter Damman, et al.. (2024). 2023 European Society of Cardiology guidelines for the management of acute coronary syndromes. Netherlands Heart Journal. 32(10). 338–345. 5 indexed citations
6.
Tolsma, Rudolf T, Marion Fokkert, Jan Paul Ottervanger, et al.. (2023). Consequences of Different cut-off Values for high-sensitivity Cardiac Troponin for Risk Stratification of Patients Suspected for NSTE-ACS With a Modified Heart Score. Future Cardiology. 19(10). 497–504. 3 indexed citations
7.
Tolsma, Rudolf T, Marion Fokkert, Erik Badings, et al.. (2021). Referral decisions based on a pre-hospital HEART score in suspected non-ST-elevation acute coronary syndrome: final results of the FamouS Triage study. European Heart Journal Acute Cardiovascular Care. 11(2). 160–169. 26 indexed citations
8.
Tolsma, Rudolf T, Marion Fokkert, Erik Badings, et al.. (2020). Referral Decisions Based On a Prehospital Heart Score in Suspected non-ST-elevation Acute Coronary Syndrome: Design of the Famous Triage 3 Study. Future Cardiology. 16(4). 217–226. 8 indexed citations
9.
Ottervanger, Jan Paul, Rudolf T Tolsma, Marion Fokkert, et al.. (2019). In-Hospital Healthcare Utilization, Outcomes, and Costs in Pre-Hospital-Adjudicated Low-Risk Chest-Pain Patients. Applied Health Economics and Health Policy. 17(6). 875–882. 13 indexed citations
10.
Fokkert, Marion, Rudolf T Tolsma, Aize van der Sluis, et al.. (2019). Accuracy of pre-hospital HEART score risk classification using point of care versus high sensitive troponin in suspected NSTE-ACS. The American Journal of Emergency Medicine. 38(8). 1616–1620. 18 indexed citations
11.
Ottervanger, Jan Paul, Rudolf T Tolsma, Marion Fokkert, et al.. (2019). P5247In-hospital healthcare utilization, outcomes and costs in pre-hospital adjudicated low-risk chest pain patients. European Heart Journal. 40(Supplement_1). 1 indexed citations
12.
Fokkert, Marion, Rudolf T Tolsma, Erik Badings, et al.. (2018). Value of Prehospital Troponin Assessment in Suspected Non-ST-Elevation Acute Coronary Syndrome. The American Journal of Cardiology. 122(10). 1610–1616. 27 indexed citations
13.
14.
Badings, Erik, Wouter Remkes, Salem H.K. The, et al.. (2016). Timing of intervention in high-risk non-ST-elevation acute coronary syndromes in PCI versus non-PCI centres. Netherlands Heart Journal. 24(3). 181–187. 5 indexed citations
15.
Bom, Michiel J., et al.. (2014). Negative predictive value of SPECT for the occurrence of MACE in a medium-sized clinic in the Netherlands. Netherlands Heart Journal. 22(4). 151–157. 7 indexed citations
16.
Lok, Dirk J., IJsbrand T. Klip, Sjoukje I. Lok, et al.. (2013). Incremental Prognostic Power of Novel Biomarkers (Growth-Differentiation Factor-15, High-Sensitivity C-Reactive Protein, Galectin-3, and High-Sensitivity Troponin-T) in Patients With Advanced Chronic Heart Failure. The American Journal of Cardiology. 112(6). 831–837. 75 indexed citations
17.
Badings, Erik, Salem H.K. The, Jan‐Henk E. Dambrink, et al.. (2013). Early or late intervention in high-risk non-ST-elevation acute coronary syndromes: results of the ELISA-3 trial. EuroIntervention. 9(1). 54–61. 52 indexed citations
18.
Lok, Dirk J., Sjoukje I. Lok, Erik Badings, et al.. (2012). Galectin-3 is an independent marker for ventricular remodeling and mortality in patients with chronic heart failure. Clinical Research in Cardiology. 102(2). 103–110. 167 indexed citations
19.
20.
Lok, Dirk J., Dirk J. van Veldhuisen, Jan van Wijngaarden, et al.. (2006). Added value of a physician-and-nurse-directed heart failure clinic: results from the Deventer–Alkmaar heart failure study. Heart. 93(7). 819–825. 104 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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