Sascha Obrowsky
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
-
- Adipose Tissue and Metabolism
Papers in
- Biochemistry 12
- Lipid metabolism and biosynthesis 10
- Surgery 10
- Cholesterol and Lipid Metabolism 6
- Pancreatic function and diabetes 4
- Co-authors
- Dagmar Kratky (17 shared papers)Jay V. Patankar (10 shared papers)Prakash G. Chandak (8 shared papers)Sanja Levak‐Frank (8 shared papers)Gerald Höefler (8 shared papers)Branislav Radović (5 shared papers)Melanie Korbelius (4 shared papers)Dagmar Kolb (6 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (5 papers)Journal of Lipid Research (3 papers)Journal of Hepatology (2 papers)European Journal of Medicinal Chemistry (1 paper)Biochimie (1 paper)
- Partner nations
- AustriaUnited StatesNetherlands
In The Last Decade
Sascha Obrowsky
18 papers receiving 448 citations
Peers
Comparison fields: 5 of 60
- Biochemistry 168
- Physiology 110
- Endocrinology, Diabetes and Metabolism 64
- Pharmacology 33
- Surgery 147
Countries citing papers authored by Sascha Obrowsky
This map shows the geographic impact of Sascha Obrowsky'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 Sascha Obrowsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha Obrowsky more than expected).
Fields of papers citing papers by Sascha Obrowsky
This network shows the impact of papers produced by Sascha Obrowsky. 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 Sascha Obrowsky. The network helps show where Sascha Obrowsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Sascha Obrowsky, 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 | 2012 | 85 | |
| 2 | 2013 | 55 | |
| 3 | 2013 | 42 | |
| 4 | 2010 | 31 | |
| 5 | 2019 | 28 | |
| 6 | 2011 | 28 | |
| 7 | 2014 | 25 | |
| 8 | 2015 | 23 | |
| 9 | 2013 | 23 | |
| 10 | 2014 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2011 | 19 | |
| 13 | 2010 | 18 | |
| 14 | 2012 | 17 | |
| 15 | 2012 | 11 | |
| 16 | 2022 | 7 | |
| 17 | 2016 | 2 | |
| 18 | 2012 | 1 |
About Sascha Obrowsky
Sascha Obrowsky is a scholar working on Biochemistry, Surgery, Molecular Biology, Physiology and Epidemiology, having authored 18 papers that have together received 454 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (10 papers), Cholesterol and Lipid Metabolism (6 papers), Adipose Tissue and Metabolism (5 papers), Pancreatic function and diabetes (4 papers), Diet, Metabolism, and Disease (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Biochemistry (168 citations), Physiology (110 citations), Endocrinology, Diabetes and Metabolism (64 citations), Pharmacology (33 citations) and Surgery (147 citations). Sascha Obrowsky has collaborated with scholars based in Austria, United States and Netherlands. Frequent co-authors include Dagmar Kratky, Jay V. Patankar, Prakash G. Chandak, Sanja Levak‐Frank, Gerald Höefler, Branislav Radović, Melanie Korbelius, Dagmar Kolb, Stefanie Schlager and Nemanja Vujić. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Lipid Research, Journal of Hepatology, European Journal of Medicinal Chemistry and Biochimie.
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.