Philipp Tomsits

944 total citations
21 papers, 598 citations indexed

About

Philipp Tomsits is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philipp Tomsits has authored 21 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philipp Tomsits's work include Cardiac electrophysiology and arrhythmias (17 papers), Cardiovascular Effects of Exercise (7 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Philipp Tomsits is often cited by papers focused on Cardiac electrophysiology and arrhythmias (17 papers), Cardiovascular Effects of Exercise (7 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Philipp Tomsits collaborates with scholars based in Germany, Slovakia and Netherlands. Philipp Tomsits's co-authors include Sebastian Clauß, Stefan Kääb, Reza Wakili, Dominik Schüttler, Javad Jabbari, Jacob Tfelt‐Hansen, Bjarke Risgaard, Reza Jabbari, Thomas Jespersen and Kim Boddum and has published in prestigious journals such as PLoS ONE, Circulation Research and International Journal of Molecular Sciences.

In The Last Decade

Philipp Tomsits

17 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Tomsits Germany 7 331 228 219 51 38 21 598
Veronika Olejníčková Czechia 12 190 0.6× 123 0.5× 93 0.4× 19 0.4× 61 1.6× 36 421
Marta Pérez-Hernández United States 17 504 1.5× 503 2.2× 66 0.3× 81 1.6× 45 1.2× 25 760
Sanne de Jong Netherlands 10 249 0.8× 523 2.3× 60 0.3× 43 0.8× 107 2.8× 21 769
Marco Hagenmueller Germany 10 297 0.9× 181 0.8× 38 0.2× 17 0.3× 67 1.8× 16 493
Honey B. Golden United States 9 260 0.8× 92 0.4× 125 0.6× 17 0.3× 32 0.8× 11 434
Sarah‐Lena Puhl Germany 9 253 0.8× 234 1.0× 102 0.5× 24 0.5× 72 1.9× 11 510
Yinglong Hou China 12 185 0.6× 587 2.6× 101 0.5× 18 0.4× 134 3.5× 20 776
Tim Petzold Australia 3 367 1.1× 85 0.4× 143 0.7× 13 0.3× 23 0.6× 5 535
Qicai Liu China 10 178 0.5× 49 0.2× 50 0.2× 56 1.1× 25 0.7× 16 346

Countries citing papers authored by Philipp Tomsits

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Tomsits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Tomsits

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Tomsits. A scholar is included among the top collaborators of Philipp Tomsits 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 Philipp Tomsits. Philipp Tomsits 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.
Bauer, Julia, Eckhard Wolf, Konstantinos D. Rizas, et al.. (2024). Biomarker Periodic Repolarization Dynamics Indicates Enhanced Risk for Arrhythmias and Sudden Cardiac Death in Myocardial Infarction in Pigs. Journal of the American Heart Association. 13(9). e032405–e032405. 2 indexed citations
3.
Rinné, Susanne, Claudia Nagel, Philipp Tomsits, et al.. (2023). Functional Characterization of a Spectrum of Novel Romano-Ward Syndrome KCNQ1 Variants. International Journal of Molecular Sciences. 24(2). 1350–1350. 2 indexed citations
4.
Zhang, Zhihao, Julia Bauer, Florian Maderspacher, et al.. (2023). Atrial fibrosis heterogeneity is a risk for atrial fibrillation in pigs with ischaemic heart failure. European Journal of Clinical Investigation. 54(4). e14137–e14137. 2 indexed citations
5.
Tomsits, Philipp, et al.. (2023). Medetomidine/midazolam/fentanyl narcosis alters cardiac autonomic tone leading to conduction disorders and arrhythmias in mice. Lab Animal. 52(4). 85–92. 3 indexed citations
6.
Tomsits, Philipp, et al.. (2023). Microdissection and Immunofluorescence Staining of Myocardial Sleeves in Murine Pulmonary Veins. Journal of Visualized Experiments. 1 indexed citations
7.
Zhang, Zhihao, Julia Bauer, Sarah Schneider, et al.. (2023). Effects of Sex on the Susceptibility for Atrial Fibrillation in Pigs with Ischemic Heart Failure. Cells. 12(7). 973–973. 1 indexed citations
8.
Schüttler, Dominik, Philipp Tomsits, Moritz F. Sinner, et al.. (2022). A practical guide to setting up pig models for cardiovascular catheterization, electrophysiological assessment and heart disease research. Lab Animal. 51(2). 46–67. 19 indexed citations
9.
Tomsits, Philipp, et al.. (2022). Real-Time Electrocardiogram Monitoring during Treadmill Training in Mice. Journal of Visualized Experiments.
10.
Seibertz, Fitzwilliam, Markus Rapedius, Philipp Tomsits, et al.. (2022). A modern automated patch-clamp approach for high throughput electrophysiology recordings in native cardiomyocytes. Communications Biology. 5(1). 969–969. 35 indexed citations
11.
Tomsits, Philipp, et al.. (2022). Real-Time Electrocardiogram Monitoring during Treadmill Training in Mice. Journal of Visualized Experiments.
12.
Tomsits, Philipp, et al.. (2022). PO-630-08 INFLUENCE OF TWO NARCOSIS REGIMENS ON CARDIAC ELECTROPHYSIOLOGY IN MICE. Heart Rhythm. 19(5). S167–S167. 1 indexed citations
13.
Tomsits, Philipp, et al.. (2022). Cardiac Macrophages and Their Effects on Arrhythmogenesis. Frontiers in Physiology. 13. 900094–900094. 16 indexed citations
14.
Tomsits, Philipp, et al.. (2021). Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice. Journal of Visualized Experiments. 2 indexed citations
15.
Tomsits, Philipp, et al.. (2021). Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice. Journal of Visualized Experiments.
16.
Tomsits, Philipp, Dominik Schüttler, Stefan Kääb, Sebastian Clauß, & Niels Voigt. (2020). Isolation of High Quality Murine Atrial and Ventricular Myocytes for Simultaneous Measurements of Ca<sup>2+</sup> Transients and L-Type Calcium Current. Journal of Visualized Experiments.
17.
Tomsits, Philipp, et al.. (2020). Non-coding RNA and Cardiac Electrophysiological Disorders. Advances in experimental medicine and biology. 1229. 301–310. 2 indexed citations
18.
Clauß, Sebastian, Dominik Schüttler, Philipp Tomsits, et al.. (2020). Characterization of a porcine model of atrial arrhythmogenicity in the context of ischaemic heart failure. PLoS ONE. 15(5). e0232374–e0232374. 14 indexed citations
19.
Clauß, Sebastian, Dominik Schüttler, Philipp Tomsits, et al.. (2019). Animal models of arrhythmia: classic electrophysiology to genetically modified large animals. Nature Reviews Cardiology. 16(8). 457–475. 125 indexed citations
20.
Glinge, Charlotte, Sebastian Clauß, Kim Boddum, et al.. (2017). Stability of Circulating Blood-Based MicroRNAs – Pre-Analytic Methodological Considerations. PLoS ONE. 12(2). e0167969–e0167969. 280 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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