Gudrun Pappaert

1.5k total citations
29 papers, 830 citations indexed

About

Gudrun Pappaert is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gudrun Pappaert has authored 29 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 17 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gudrun Pappaert's work include Cardiac electrophysiology and arrhythmias (29 papers), ECG Monitoring and Analysis (21 papers) and Ion channel regulation and function (16 papers). Gudrun Pappaert is often cited by papers focused on Cardiac electrophysiology and arrhythmias (29 papers), ECG Monitoring and Analysis (21 papers) and Ion channel regulation and function (16 papers). Gudrun Pappaert collaborates with scholars based in Belgium, United States and Netherlands. Gudrun Pappaert's co-authors include Pedro Brugada, Carlo de Asmundis, Juan Sieira, Gian‐Battista Chierchia, Giulio Conte, Mark La Meir, Giuseppe Ciconte, Giacomo Di Giovanni, Giannis Baltogiannis and Yukio Saitoh and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Gudrun Pappaert

28 papers receiving 798 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gudrun Pappaert Belgium 17 812 490 69 26 22 29 830
Umberto Giordano Italy 4 1.4k 1.7× 909 1.9× 76 1.1× 30 1.2× 36 1.6× 7 1.4k
Nicola Monteforte Italy 12 922 1.1× 448 0.9× 61 0.9× 9 0.3× 46 2.1× 22 976
Christian Veltmann Germany 8 576 0.7× 388 0.8× 37 0.5× 18 0.7× 16 0.7× 11 603
Pedro Brugada United States 7 539 0.7× 305 0.6× 24 0.3× 13 0.5× 15 0.7× 10 561
Guido Rossetti Italy 6 565 0.7× 257 0.5× 23 0.3× 11 0.4× 8 0.4× 11 570
H Mitamura Japan 4 563 0.7× 383 0.8× 27 0.4× 9 0.3× 12 0.5× 8 573
SHIRO KAMAKURA Japan 8 633 0.8× 472 1.0× 40 0.6× 14 0.5× 9 0.4× 11 642
Elena Richiardi Italy 11 1.0k 1.3× 280 0.6× 27 0.4× 9 0.3× 18 0.8× 18 1.0k
Fernando E. S. Cruz Filho Brazil 4 812 1.0× 492 1.0× 53 0.8× 4 0.2× 22 1.0× 5 841
Mitsuaki Takami Japan 11 569 0.7× 219 0.4× 16 0.2× 9 0.3× 8 0.4× 21 580

Countries citing papers authored by Gudrun Pappaert

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Pappaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gudrun Pappaert

This figure shows the co-authorship network connecting the top 25 collaborators of Gudrun Pappaert. A scholar is included among the top collaborators of Gudrun Pappaert 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 Gudrun Pappaert. Gudrun Pappaert 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.
Pannone, Luigi, Cinzia Monaco, Domenico G. Della Rocca, et al.. (2024). Predicting and Recognizing Drug‐Induced Type I Brugada Pattern Using ECG‐Based Deep Learning. Journal of the American Heart Association. 13(10). e033148–e033148. 7 indexed citations
2.
Theuns, Peter, Pieter Libin, Ann Nowé, et al.. (2023). Patient-reported outcome measures on mental health and psychosocial factors in patients with Brugada syndrome. EP Europace. 25(9). 3 indexed citations
3.
Pannone, Luigi, Antonio Sorgente, Anaïs Gauthey, et al.. (2023). Heart rate variability and microvolt T wave alternans changes during ajmaline test may predict prognosis in Brugada syndrome. Clinical Autonomic Research. 33(1). 51–62. 5 indexed citations
4.
Pannone, Luigi, Cinzia Monaco, Domenico G. Della Rocca, et al.. (2023). Abstract 12631: Recognizing and Predicting Drug-Induced Type I Brugada Pattern Using ECG-Based Deep Learning. Circulation. 148(Suppl_1). 1 indexed citations
5.
Scheirlynck, Esther, Andreea Motoc, Carlo de Asmundis, et al.. (2021). Long-term evolution of echocardiography parameters in Brugada syndrome patients. European Heart Journal - Cardiovascular Imaging. 22(Supplement_1).
6.
Borio, Gianluca, Juan Sieira, Sonia Van Dooren, et al.. (2020). Ajmaline Testing and the Brugada Syndrome. The American Journal of Cardiology. 135. 91–98. 7 indexed citations
7.
Asmundis, Carlo de, Giacomo Mugnai, Gian‐Battista Chierchia, et al.. (2019). Abnormally high risk of stroke in Brugada syndrome. Journal of Cardiovascular Medicine. 20(2). 59–65. 10 indexed citations
8.
Corcia, M. Cecilia Gonzalez, Juan Sieira, Gudrun Pappaert, et al.. (2018). Implantable Cardioverter-Defibrillators in Children and Adolescents With Brugada Syndrome. Journal of the American College of Cardiology. 71(2). 148–157. 27 indexed citations
9.
Mugnai, Giacomo, Burak Hünük, Erwin Ströker, et al.. (2017). Role of Electrocardiographic Tpeak-Tend for the Prediction of Ventricular Arrhythmic Events in the Brugada Syndrome. The American Journal of Cardiology. 120(8). 1332–1337. 20 indexed citations
10.
Corcia, M. Cecilia Gonzalez, Juan Sieira, Gudrun Pappaert, et al.. (2017). A Clinical Score Model to Predict Lethal Events in Young Patients (≤19 Years) With the Brugada Syndrome. The American Journal of Cardiology. 120(5). 797–802. 25 indexed citations
11.
Sieira, Juan, Giuseppe Ciconte, Giulio Conte, et al.. (2017). Long-term prognosis of drug-induced Brugada syndrome. Heart Rhythm. 14(10). 1427–1433. 22 indexed citations
12.
Asmundis, Carlo de, Giacomo Mugnai, Gian‐Battista Chierchia, et al.. (2017). Long-Term Follow-Up of Probands With Brugada Syndrome. The American Journal of Cardiology. 119(9). 1392–1400. 20 indexed citations
13.
Casado-Arroyo, Rubén, Paola Berne, Jayakeerthi Y. Rao, et al.. (2016). Long-Term Trends in Newly Diagnosed Brugada Syndrome. Journal of the American College of Cardiology. 68(6). 614–623. 53 indexed citations
14.
Corcia, M. Cecilia Gonzalez, Juan Sieira, Andrea Sarkozy, et al.. (2016). Brugada syndrome in the young: an assessment of risk factors predicting future events. EP Europace. 19(11). euw206–euw206. 25 indexed citations
15.
Conte, Giulio, Juan Sieira, Giuseppe Ciconte, et al.. (2015). Implantable Cardioverter-Defibrillator Therapy in Brugada Syndrome. Journal of the American College of Cardiology. 65(9). 879–888. 120 indexed citations
16.
Keymolen, Kathelijn, Willy Lissens, Anna Jansen, et al.. (2015). SCN4A variants and Brugada syndrome: phenotypic and genotypic overlap between cardiac and skeletal muscle sodium channelopathies. European Journal of Human Genetics. 24(3). 400–407. 29 indexed citations
17.
Sieira, Juan, Giuseppe Ciconte, Giulio Conte, et al.. (2015). Asymptomatic Brugada Syndrome. Circulation Arrhythmia and Electrophysiology. 8(5). 1144–1150. 52 indexed citations
18.
Conte, Giulio, Wendy Dewals, Juan Sieira, et al.. (2014). Drug-Induced Brugada Syndrome in Children. Journal of the American College of Cardiology. 63(21). 2272–2279. 55 indexed citations
19.
Conte, Giulio, Moisés Levinstein, Andrea Sarkozy, et al.. (2014). The clinical impact of ajmaline challenge in elderly patients with suspected atrioventricular conduction disease. International Journal of Cardiology. 172(2). 423–427. 4 indexed citations
20.
Conte, Giulio, Juan Sieira, Andrea Sarkozy, et al.. (2013). Life-threatening ventricular arrhythmias during ajmaline challenge in patients with Brugada syndrome: Incidence, clinical features, and prognosis. Heart Rhythm. 10(12). 1869–1874. 42 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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