Sven Dittmann

983 total citations
26 papers, 391 citations indexed

About

Sven Dittmann is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sven Dittmann has authored 26 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 15 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sven Dittmann's work include Cardiac electrophysiology and arrhythmias (13 papers), Cardiomyopathy and Myosin Studies (10 papers) and Cardiovascular Effects of Exercise (8 papers). Sven Dittmann is often cited by papers focused on Cardiac electrophysiology and arrhythmias (13 papers), Cardiomyopathy and Myosin Studies (10 papers) and Cardiovascular Effects of Exercise (8 papers). Sven Dittmann collaborates with scholars based in Germany, Netherlands and United States. Sven Dittmann's co-authors include Eric Schulze‐Bahr, Martin Farr, Birgit Stallmeyer, Hendrik Milting, Matthias Linke, Kaifeng Shao, Azra Fatima, Tomo Šarić, Jürgen Hescheler and Ulrich Zechner and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Sven Dittmann

25 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Dittmann Germany 11 250 233 74 37 24 26 391
Annukka M. Lahtinen Finland 14 466 1.9× 330 1.4× 114 1.5× 61 1.6× 20 0.8× 21 604
Paola Berne Spain 16 781 3.1× 393 1.7× 36 0.5× 40 1.1× 14 0.6× 40 857
Maicon Landim-Vieira United States 13 279 1.1× 161 0.7× 16 0.2× 25 0.7× 14 0.6× 31 368
Aaron Glass United States 10 259 1.0× 239 1.0× 28 0.4× 14 0.4× 4 0.2× 15 415
Alice Ward Racca United States 8 163 0.7× 192 0.8× 18 0.2× 50 1.4× 36 1.5× 12 267
J. Maynard United Kingdom 9 146 0.6× 341 1.5× 113 1.5× 25 0.7× 13 0.5× 10 428
Maria Franaszczyk Poland 11 249 1.0× 141 0.6× 23 0.3× 18 0.5× 3 0.1× 31 360
Emanuela Abiusi Italy 7 254 1.0× 214 0.9× 23 0.3× 48 1.3× 11 0.5× 8 376
Lisa Fortmueller Germany 5 275 1.1× 140 0.6× 30 0.4× 13 0.4× 3 0.1× 8 359
Shinichiro Okata Japan 8 111 0.4× 147 0.6× 30 0.4× 56 1.5× 34 1.4× 15 232

Countries citing papers authored by Sven Dittmann

Since Specialization
Citations

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

Fields of papers citing papers by Sven Dittmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Dittmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Dittmann. A scholar is included among the top collaborators of Sven Dittmann 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 Sven Dittmann. Sven Dittmann 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
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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
4.
Dittmann, Sven, et al.. (2023). Patient-derived stem cell line UKMi005-A (hiPSC) harboring a non-synonymous heterozygous KCNJ5 gene variant. Stem Cell Research. 73. 103223–103223. 2 indexed citations
5.
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
6.
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
7.
Dittmann, Sven, et al.. (2022). Non-syndromal mitral valve prolapse (MVP): a common entity, but not commonly associated with DCHS1 or FLNA mutations. Journal of Thoracic Disease. 14(6). 2440–2442. 1 indexed citations
8.
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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
10.
Rinné, Susanne, Birgit Stallmeyer, Aytuğ K. Kiper, et al.. (2020). POPDC2 a novel susceptibility gene for conduction disorders. Journal of Molecular and Cellular Cardiology. 145. 74–83. 17 indexed citations
11.
Fischer‐Zirnsak, Björn, Sven Dittmann, Andreas Brodehl, et al.. (2020). Functional characterization of novel alpha-helical rod domain desmin (DES) pathogenic variants associated with dilated cardiomyopathy, atrioventricular block and a risk for sudden cardiac death. International Journal of Cardiology. 329. 167–174. 16 indexed citations
12.
Rangrez, Ashraf Yusuf, Sven Dittmann, Pankaj Yadav, et al.. (2020). Data on the role of cardiac α-actin (ACTC1) gene mutations on SRF-signaling. Data in Brief. 28. 105071–105071. 5 indexed citations
13.
Dittmann, Sven, et al.. (2019). Sudden unexpected cardiac death and postmortem identification of a novel RYR2 gene mutation. International Journal of Legal Medicine. 133(6). 1835–1838. 6 indexed citations
14.
Rangrez, Ashraf Yusuf, et al.. (2019). A cardiac α-actin (ACTC1) p. Gly247Asp mutation inhibits SRF-signaling in vitro in neonatal rat cardiomyocytes. Biochemical and Biophysical Research Communications. 518(3). 500–505. 4 indexed citations
15.
Lint, Freyja H.M. van, Brittney Murray, Crystal Tichnell, et al.. (2019). Arrhythmogenic Right Ventricular Cardiomyopathy-Associated Desmosomal Variants Are Rarely De Novo. Circulation Genomic and Precision Medicine. 12(8). e002467–e002467. 37 indexed citations
16.
Stallmeyer, Birgit, Sven Dittmann, & Eric Schulze‐Bahr. (2018). Genetische Diagnostik zur Vermeidung des plötzlichen Herztods. Der Internist. 59(8). 776–789. 1 indexed citations
17.
Stallmeyer, Birgit, Sven Dittmann, Guiscard Seebohm, Joachim G. Müller, & Eric Schulze‐Bahr. (2017). Molecular genetic diagnostics for ventricular arrhythmias and sudden cardiac death syndromes. Herz. 42(5). 476–484. 4 indexed citations
18.
Rinné, Susanne, Aytuğ K. Kiper, Günter Schlichthörl, et al.. (2015). TASK-1 and TASK-3 may form heterodimers in human atrial cardiomyocytes. Journal of Molecular and Cellular Cardiology. 81. 71–80. 35 indexed citations
19.
Fatima, Azra, Kaifeng Shao, Sven Dittmann, et al.. (2013). The Disease-Specific Phenotype in Cardiomyocytes Derived from Induced Pluripotent Stem Cells of Two Long QT Syndrome Type 3 Patients. PLoS ONE. 8(12). e83005–e83005. 70 indexed citations
20.
Dittmann, Sven, Klaus Überla, Cornelia Piper, et al.. (2013). Effect of lovastatin on coxsackievirus B3 infection in human endothelial cells. Inflammation Research. 63(4). 267–276. 13 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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