Stefan Wallner
Impact in
- Biochemistry top 10%
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
- Epigenetics and DNA Methylation 3
- Connexins and lens biology 2
- Sphingolipid Metabolism and Signaling 2
- Surgery 7
- Co-authors
- Gerd Schmitz (9 shared papers)Gerhard Liebisch (5 shared papers)Evelyn Orsó (7 shared papers)Ulrich Pohl (2 shared papers)Petra Kameritsch (2 shared papers)Marcus Fischer (4 shared papers)Susanne Heimerl (1 shared paper)Alexander Sigrüener (1 shared paper)
- Journals
- PLoS ONE (5 papers)ESC Heart Failure (2 papers)Biomarkers in Medicine (2 papers)Nephrology (2 papers)Journal of Nephrology (1 paper)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Stefan Wallner
30 papers receiving 826 citations
Peers
Comparison fields: 5 of 99
- Biochemistry 62
- Physiology 206
- Molecular Biology 474
- Biochemistry 30
- Endocrinology, Diabetes and Metabolism 75
Countries citing papers authored by Stefan Wallner
This map shows the geographic impact of Stefan Wallner'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 Stefan Wallner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Wallner more than expected).
Fields of papers citing papers by Stefan Wallner
This network shows the impact of papers produced by Stefan Wallner. 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 Stefan Wallner. The network helps show where Stefan Wallner may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Wallner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 257 | |
| 2 | 2014 | 117 | |
| 3 | 2010 | 82 | |
| 4 | 1997 | 63 | |
| 5 | 2018 | 43 | |
| 6 | 2014 | 43 | |
| 7 | 1997 | 35 | |
| 8 | 2010 | 22 | |
| 9 | 2017 | 21 | |
| 10 | 2016 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2015 | 18 | |
| 13 | 2014 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2016 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2018 | 7 |
About Stefan Wallner
Stefan Wallner is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 32 papers that have together received 842 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Heart Failure Treatment and Management (3 papers), Epigenetics and DNA Methylation (3 papers), COVID-19 Clinical Research Studies (3 papers), Connexins and lens biology (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Biochemistry (62 citations), Physiology (206 citations), Molecular Biology (474 citations), Biochemistry (30 citations) and Endocrinology, Diabetes and Metabolism (75 citations). Stefan Wallner has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Gerd Schmitz, Gerhard Liebisch, Evelyn Orsó, Ulrich Pohl, Petra Kameritsch, Marcus Fischer, Susanne Heimerl, Alexander Sigrüener, Andrea Baessler and Kristin Pogoda. Their work appears in journals such as PLoS ONE, ESC Heart Failure, Biomarkers in Medicine, Nephrology and Journal of Nephrology.
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.