G Grabner
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
- Physiology 16
- Adipose Tissue and Metabolism 14
- Biochemistry 15
- Lipid metabolism and biosynthesis 14
- Co-authors
- Rudolf Zechner (14 shared papers)Martina Schweiger (10 shared papers)Hao Xie (3 shared papers)Robert Zimmermann (22 shared papers)Ulrike Taschler (9 shared papers)Achim Lass (12 shared papers)Thomas O. Eichmann (8 shared papers)Rudolf Schicho (2 shared papers)
- Journals
- Journal of Lipid Research (6 papers)Nature Communications (3 papers)Journal of Hepatology (2 papers)Molecular Metabolism (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- AustriaGermanyNetherlands
In The Last Decade
G Grabner
54 papers receiving 1.7k citations
G Grabner's Hit Papers
Peers
Comparison fields: 5 of 109
- Biochemistry 566
- Physiology 628
- Endocrine and Autonomic Systems 98
- Pharmacology 192
- Biological Psychiatry 23
Countries citing papers authored by G Grabner
This map shows the geographic impact of G Grabner'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 G Grabner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Grabner more than expected).
Fields of papers citing papers by G Grabner
This network shows the impact of papers produced by G Grabner. 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 G Grabner. The network helps show where G Grabner may publish in the future.
Co-authors
The 25 scholars most cited alongside G Grabner, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lipolysis: cellular mechanisms for lipid mobilization from fat stores Hit paper breakdown → | 2021 | 495 |
| 2 | 2017 | 167 | |
| 3 | 2013 | 162 | |
| 4 | 2017 | 110 | |
| 5 | 2013 | 103 | |
| 6 | 2017 | 100 | |
| 7 | 2018 | 60 | |
| 8 | 2022 | 51 | |
| 9 | 2015 | 50 | |
| 10 | 2015 | 45 | |
| 11 | 2015 | 44 | |
| 12 | 2015 | 41 | |
| 13 | 2016 | 32 | |
| 14 | 2015 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2019 | 30 | |
| 17 | 2019 | 20 | |
| 18 | 2022 | 18 | |
| 19 | 2024 | 17 | |
| 20 | 2022 | 16 |
About G Grabner
G Grabner is a scholar working on Physiology, Biochemistry, Epidemiology, Molecular Biology and Cell Biology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (14 papers), Adipose Tissue and Metabolism (14 papers), Liver Disease Diagnosis and Treatment (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Cannabis and Cannabinoid Research (5 papers), Pancreatic function and diabetes (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Biochemistry (566 citations), Physiology (628 citations), Endocrine and Autonomic Systems (98 citations), Pharmacology (192 citations) and Biological Psychiatry (23 citations). G Grabner has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Rudolf Zechner, Martina Schweiger, Hao Xie, Robert Zimmermann, Ulrike Taschler, Achim Lass, Thomas O. Eichmann, Rudolf Schicho, Christoph Heier and Rolf Breinbauer. Their work appears in journals such as Journal of Lipid Research, Nature Communications, Journal of Hepatology, Molecular Metabolism and Journal of Biological Chemistry.
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.