Silvia Schauer
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 5
- Muscle Physiology and Disorders 3
- Physiology 10
- Adipose Tissue and Metabolism 9
- Co-authors
- Gerald Höefler (30 shared papers)Paul Vesely (10 shared papers)Rudolf Zechner (10 shared papers)Suman K. Das (6 shared papers)Robert Zimmermann (5 shared papers)Guenter Haemmerle (4 shared papers)Sandra Eder (3 shared papers)Gregor Gorkiewicz (4 shared papers)
- Journals
- PLoS ONE (2 papers)Blood (2 papers)Oncotarget (2 papers)Human Pathology (2 papers)Oncogene (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Silvia Schauer
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Biochemistry 241
- Cancer Research 307
- Physiology 464
- Molecular Biology 810
- Cell Biology 134
Countries citing papers authored by Silvia Schauer
This map shows the geographic impact of Silvia Schauer'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 Silvia Schauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Schauer more than expected).
Fields of papers citing papers by Silvia Schauer
This network shows the impact of papers produced by Silvia Schauer. 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 Silvia Schauer. The network helps show where Silvia Schauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Schauer, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 447 | |
| 2 | 2009 | 158 | |
| 3 | 2014 | 127 | |
| 4 | 2007 | 80 | |
| 5 | 2016 | 79 | |
| 6 | 2004 | 63 | |
| 7 | 2015 | 60 | |
| 8 | 2016 | 56 | |
| 9 | 2022 | 51 | |
| 10 | 2011 | 48 | |
| 11 | 2012 | 47 | |
| 12 | 2017 | 46 | |
| 13 | 2016 | 35 | |
| 14 | 2012 | 34 | |
| 15 | 2015 | 34 | |
| 16 | 2013 | 33 | |
| 17 | 2000 | 32 | |
| 18 | 2016 | 32 | |
| 19 | 1997 | 31 | |
| 20 | 2015 | 28 |
About Silvia Schauer
Silvia Schauer is a scholar working on Molecular Biology, Physiology, Biochemistry, Cancer Research and Surgery, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Lipid metabolism and biosynthesis (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Muscle Physiology and Disorders (3 papers), Immune Cell Function and Interaction (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Muscle metabolism and nutrition (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Biochemistry (241 citations), Cancer Research (307 citations), Physiology (464 citations), Molecular Biology (810 citations) and Cell Biology (134 citations). Silvia Schauer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Gerald Höefler, Paul Vesely, Rudolf Zechner, Suman K. Das, Robert Zimmermann, Guenter Haemmerle, Sandra Eder, Gregor Gorkiewicz, Michael Trauner and Barbara Guertl. Their work appears in journals such as PLoS ONE, Blood, Oncotarget, Human Pathology and Oncogene.
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.