Stephan Sickinger
Impact in
- Pathology and Forensic Medicine top 10%
- Cardiac Ischemia and Reperfusion
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- Cardiac Fibrosis and Remodeling
- Cardiac electrophysiology and arrhythmias
- Chemotherapy-induced cardiotoxicity and mitigation
- Cardiovascular Function and Risk Factors
Papers in
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- Cardiac Ischemia and Reperfusion 3
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- Ion Channels and Receptors 1
- Co-authors
- Sandra Frotschnig (1 shared paper)Michael F. Grimm (1 shared paper)Andrey V. Kuznetsov (1 shared paper)Sabzali A. Javadov (1 shared paper)Jakob Troppmair (2 shared papers)H. G. Schwelberger (2 shared papers)Martin Hermann (2 shared papers)Christoph Wallner (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Bioprocess and Biosystems Engineering (1 paper)Journal of Anatomy (1 paper)Journal of Neuroscience (1 paper)Cell Communication and Signaling (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Stephan Sickinger
6 papers receiving 366 citations
Peers
Comparison fields: 5 of 61
- Pathology and Forensic Medicine 105
- Cardiology and Cardiovascular Medicine 64
- Molecular Biology 118
- Cell Biology 18
- Cancer Research 14
Countries citing papers authored by Stephan Sickinger
This map shows the geographic impact of Stephan Sickinger'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 Stephan Sickinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Sickinger more than expected).
Fields of papers citing papers by Stephan Sickinger
This network shows the impact of papers produced by Stephan Sickinger. 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 Stephan Sickinger. The network helps show where Stephan Sickinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Sickinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 204 | |
| 2 | 2014 | 102 | |
| 3 | 2013 | 25 | |
| 4 | 2014 | 17 | |
| 5 | 2006 | 11 | |
| 6 | 2009 | 9 |
About Stephan Sickinger
Stephan Sickinger is a scholar working on Pathology and Forensic Medicine, Sensory Systems, Biochemistry, Molecular Biology and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 368 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (3 papers), Ion Channels and Receptors (1 paper), Mitochondrial Function and Pathology (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Fluid Dynamics and Mixing (1 paper), Redox biology and oxidative stress (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (105 citations), Cardiology and Cardiovascular Medicine (64 citations), Molecular Biology (118 citations), Cell Biology (18 citations) and Cancer Research (14 citations). Stephan Sickinger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Sandra Frotschnig, Michael F. Grimm, Andrey V. Kuznetsov, Sabzali A. Javadov, Jakob Troppmair, H. G. Schwelberger, Martin Hermann, Christoph Wallner, Peter Santer and Muhammad Ashraf. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Bioprocess and Biosystems Engineering, Journal of Anatomy, Journal of Neuroscience and Cell Communication and Signaling.
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.