Stephan Sickinger
Impact in
-
- Cardiac Ischemia and Reperfusion
Papers in
- Surgery 2
- Transplantation: Methods and Outcomes 1
- Co-authors
- Andrey V. Kuznetsov (1 shared paper)Sabzali Javadov (1 shared paper)Sandra Frotschnig (1 shared paper)Michael Grimm (1 shared paper)H. G. Schwelberger (2 shared papers)Jakob Troppmair (2 shared papers)Martin Hermann (2 shared papers)Peter Santer (1 shared paper)
- Journals
- Cell Communication and Signaling (1 paper)Journal of Anatomy (1 paper)Bioprocess and Biosystems Engineering (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Stephan Sickinger
6 papers receiving 351 citations
Peers
Comparison fields: 5 of 75
- Pathology and Forensic Medicine 59
- Developmental Neuroscience 10
- Molecular Biology 176
- Cardiology and Cardiovascular Medicine 51
- Aging 4
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 | 195 | |
| 2 | 2014 | 99 | |
| 3 | 2013 | 24 | |
| 4 | 2014 | 16 | |
| 5 | 2006 | 11 | |
| 6 | 2009 | 8 |
About Stephan Sickinger
Stephan Sickinger is a scholar working on Surgery, Physiology, Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 353 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (1 paper), Liver physiology and pathology (1 paper), Neurobiology and Insect Physiology Research (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Transplantation: Methods and Outcomes (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and GDF15 and Related Biomarkers (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (59 citations), Developmental Neuroscience (10 citations), Molecular Biology (176 citations), Cardiology and Cardiovascular Medicine (51 citations) and Aging (4 citations). Stephan Sickinger has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Andrey V. Kuznetsov, Sabzali Javadov, Sandra Frotschnig, Michael Grimm, H. G. Schwelberger, Jakob Troppmair, Martin Hermann, Peter Santer, Gerald Brandacher and Sana Khalid. Their work appears in journals such as Cell Communication and Signaling, Journal of Anatomy, Bioprocess and Biosystems Engineering, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Journal of Neuroscience.
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.