Eric Schulze‐Bahr

25.3k total citations · 4 hit papers
178 papers, 10.1k citations indexed

About

Eric Schulze‐Bahr is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eric Schulze‐Bahr has authored 178 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Cardiology and Cardiovascular Medicine, 118 papers in Molecular Biology and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eric Schulze‐Bahr's work include Cardiac electrophysiology and arrhythmias (132 papers), Ion channel regulation and function (97 papers) and Cardiovascular Effects of Exercise (30 papers). Eric Schulze‐Bahr is often cited by papers focused on Cardiac electrophysiology and arrhythmias (132 papers), Ion channel regulation and function (97 papers) and Cardiovascular Effects of Exercise (30 papers). Eric Schulze‐Bahr collaborates with scholars based in Germany, United States and Netherlands. Eric Schulze‐Bahr's co-authors include Arthur A.M. Wilde, Lars Eckardt, Charles Antzelevitch, Josép Brugada, Wilhelm Haverkamp, Günter Breithardt, Hanno L. Tan, Martin Borggrefe, Wataru Shimizu and Hervé LeMarec and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Eric Schulze‐Bahr

171 papers receiving 9.8k citations

Hit Papers

align trajectories

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.

Genetic basis and molecular mechanism for idiopathic ventricular fibrillation

1998 1.2k citations Martin Borggrefe, Günter Breithardt et al. profile →
Brugada Syndrome: Report of the Second Consensus Conference

2005 1.2k citations Martin Borggrefe, Wataru Shimizu et al. Circulation profile →
Mutations in the desmosomal protein plakophilin-2 are common in arrhythmogenic right ventricular cardiomyopathy

2004 569 citations Matthias Paul, Eric Schulze‐Bahr et al. profile →
Long-Term Prognosis of Patients Diagnosed With Brugada Syndrome

2010 531 citations Vincent Probst, Christian Veltmann et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Schulze‐Bahr Germany	44	8.7k	6.4k	942	341	316	178	10.1k
Connie R. Bezzina Netherlands	50	7.3k 0.8×	6.1k 0.9×	1.1k 1.2×	264 0.8×	183 0.6×	180	8.8k
David J. Tester United States	68	10.2k 1.2×	8.7k 1.4×	1.2k 1.3×	604 1.8×	132 0.4×	236	14.5k
Ramón Brugada Spain	54	12.1k 1.4×	8.1k 1.3×	994 1.1×	623 1.8×	213 0.7×	310	13.6k
Vincent Probst France	42	5.9k 0.7×	3.8k 0.6×	484 0.5×	565 1.7×	47 0.1×	147	6.7k
Larissa Fabritz Germany	41	3.8k 0.4×	2.4k 0.4×	562 0.6×	259 0.8×	198 0.6×	151	5.1k
Marc A. Vos Netherlands	49	6.7k 0.8×	4.3k 0.7×	830 0.9×	340 1.0×	63 0.2×	225	7.8k
Stéphane Hatem France	46	4.2k 0.5×	2.6k 0.4×	674 0.7×	669 2.0×	52 0.2×	135	6.1k
Arie O. Verkerk Netherlands	47	4.9k 0.6×	4.7k 0.7×	1.5k 1.6×	759 2.2×	48 0.2×	189	7.2k
Thomas J. Hund United States	40	3.3k 0.4×	3.5k 0.6×	753 0.8×	396 1.2×	61 0.2×	126	5.0k
Björn C. Knollmann United States	46	5.3k 0.6×	4.8k 0.7×	1.1k 1.1×	426 1.2×	19 0.1×	188	7.2k

Countries citing papers authored by Eric Schulze‐Bahr

Since Specialization

Citations

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

Fields of papers citing papers by Eric Schulze‐Bahr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Schulze‐Bahr. 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 Eric Schulze‐Bahr. The network helps show where Eric Schulze‐Bahr may publish in the future.

Co-authorship network of co-authors of Eric Schulze‐Bahr

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Schulze‐Bahr. A scholar is included among the top collaborators of Eric Schulze‐Bahr 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 Eric Schulze‐Bahr. Eric Schulze‐Bahr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tzvi, Elinor, et al.. (2025). A MATLAB Algorithm to Automatically Estimate the QT Interval and Other ECG Parameters and Validation Using a Machine Learning Approach in Congenital Long-QT Syndrome. Journal of Cardiovascular Translational Research. 18(5). 1470–1481.

Kiper, Aytuğ K., Sven Wegner, Susanne Rinné, et al.. (2024). KCNQ1 is an essential mediator of the sex-dependent perception of moderate cold temperatures. Proceedings of the National Academy of Sciences. 121(25). e2322475121–e2322475121. 4 indexed citations

Dittmann, Sven, et al.. (2023). The W101C KCNJ5 Mutation Induces Slower Pacing by Constitutively Active GIRK Channels in hiPSC-Derived Cardiomyocytes. International Journal of Molecular Sciences. 24(20). 15290–15290. 1 indexed citations

Oji, Vinzenz, et al.. (2023). Acral keratoderma and sudden death. Diagnostic histopathology. 30(1). 77–80.

Plagwitz, Lucas, Benjamin Rath, Gerrit Frommeyer, et al.. (2022). Detection of Patients with Congenital and Often Concealed Long-QT Syndrome by Novel Deep Learning Models. Journal of Personalized Medicine. 12(7). 1135–1135. 12 indexed citations

Rinné, Susanne, Birgit Stallmeyer, Alexandra Pinggera, et al.. (2022). Whole Exome Sequencing Identifies a Heterozygous Variant in the Cav1.3 Gene CACNA1D Associated with Familial Sinus Node Dysfunction and Focal Idiopathic Epilepsy. International Journal of Molecular Sciences. 23(22). 14215–14215. 9 indexed citations

Chatterjee, Diptendu, Maurizio Pieroni, Meena Fatah, et al.. (2020). An autoantibody profile detects Brugada syndrome and identifies abnormally expressed myocardial proteins. European Heart Journal. 41(30). 2878–2890. 32 indexed citations

Endres, Dominique, Niels Decher, Katharina Domschke, et al.. (2020). New Cav1.2 Channelopathy with High-Functioning Autism, Affective Disorder, Severe Dental Enamel Defects, a Short QT Interval, and a Novel CACNA1C Loss-of-Function Mutation. International Journal of Molecular Sciences. 21(22). 8611–8611. 15 indexed citations

Wu, Cheng‐I, Pieter G. Postema, Elena Arbelo, et al.. (2020). SARS-CoV-2, COVID-19, and inherited arrhythmia syndromes. Heart Rhythm. 17(9). 1456–1462. 161 indexed citations

10.

Park, Julien H., Marianne Grüneberg, Stephan Rust, et al.. (2017). Limitations of galactose therapy in phosphoglucomutase 1 deficiency. Molecular Genetics and Metabolism Reports. 13. 33–40. 27 indexed citations

11.

Stallmeyer, Birgit, Boris Greber, Nathalie Strutz‐Seebohm, et al.. (2016). Structural interplay of KV7.1 and KCNE1 is essential for normal repolarization and is compromised in short QT syndrome 2 (KV7.1-A287T). HeartRhythm Case Reports. 2(6). 521–529. 3 indexed citations

12.

Behr, Elijah R., Craig T. January, Eric Schulze‐Bahr, et al.. (2012). The International Serious Adverse Events Consortium (iSAEC) phenotype standardization project for drug-induced torsades de pointes. European Heart Journal. 34(26). 1958–1963. 19 indexed citations

13.

Probst, Vincent, Christian Veltmann, Lars Eckardt, et al.. (2010). Long-Term Prognosis of Patients Diagnosed With Brugada Syndrome. Circulation. 121(5). 635–643. 531 indexed citations breakdown →

14.

Neu, Axel, Matthias Paul, Kathrin Sauter, et al.. (2010). A homozygous SCN5A mutation in a severe, recessive type of cardiac conduction disease. Human Mutation. 31(8). E1609–E1621. 24 indexed citations

15.

Kranz, Andrea, Dirk Loßnitzer, Bernd Wollnik, et al.. (2009). Abstract 2291: Recapitulation of a Right Ventricular Phenotype in a Transgenic Mouse Model Overexpressing the Plakophilin-2 R413x Mutation That Causes Severe ARVC in a Large Family. Circulation. 120. 2 indexed citations

16.

Kääb, Stefan, Marylyn D. Ritchie, Dana C. Crawford, et al.. (2009). Abstract 1971: Genome-wide Association Study Identifies Novel Genomic Regions Associated With Drug-induced Long Qt Syndrome. Circulation. 120(5). 335–41. 4 indexed citations

17.

Makita, Naomasa, Elijah R. Behr, Wataru Shimizu, et al.. (2008). The E1784K mutation in SCN5A is associated with mixed clinical phenotype of type 3 long QT syndrome. Journal of Clinical Investigation. 118(6). 2219–29. 160 indexed citations

18.

Crotti, Lia, Carla Spazzolini, Peter J. Schwartz, et al.. (2007). The Common Long-QT Syndrome Mutation KCNQ1/A341V Causes Unusually Severe Clinical Manifestations in Patients With Different Ethnic Backgrounds. Circulation. 116(21). 2366–2375. 112 indexed citations

19.

Tan, Hanno L., Abdennasser Bardai, Wataru Shimizu, et al.. (2006). Genotype-Specific Onset of Arrhythmias in Congenital Long-QT Syndrome. Circulation. 114(20). 2096–2103. 99 indexed citations

20.

Schulze‐Bahr, Eric, et al.. (2003). Electrical Alternans In Long QT Syndrome Resembling a Brugada Syndrome Pattern. Pacing and Clinical Electrophysiology. 26(10). 2033–2035. 3 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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