Georg Neuberger
Impact in
- Biochemistry top 0.2%
- Lipid metabolism and biosynthesis
- Physiology top 2%
- Adipose Tissue and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 2
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 1
-
- Muscle metabolism and nutrition 1
- Co-authors
- Frank Eisenhaber (8 shared papers)Juliane Gertrude Bogner‐Strauß (1 shared paper)Achim Lass (1 shared paper)Monika Riederer (1 shared paper)Rudolf Zechner (1 shared paper)Guenter Haemmerle (1 shared paper)Gabriele Schoiswohl (1 shared paper)Ruth Birner‐Gruenberger (1 shared paper)
- Journals
- Journal of Molecular Biology (2 papers)BMC Bioinformatics (1 paper)Biology Direct (1 paper)Genome biology (1 paper)PROTEOMICS (1 paper)
- Partner nations
- AustriaUnited StatesSingapore
In The Last Decade
Georg Neuberger
8 papers receiving 2.3k citations
Georg Neuberger's Hit Papers
Peers
Comparison fields: 5 of 114
- Biochemistry 1.0k
- Physiology 902
- Aging 33
- Cell Biology 286
- Molecular Biology 1.1k
Countries citing papers authored by Georg Neuberger
This map shows the geographic impact of Georg Neuberger'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 Georg Neuberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Neuberger more than expected).
Fields of papers citing papers by Georg Neuberger
This network shows the impact of papers produced by Georg Neuberger. 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 Georg Neuberger. The network helps show where Georg Neuberger may publish in the future.
Co-authors
The 23 scholars most cited alongside Georg Neuberger, 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 | Fat Mobilization in Adipose Tissue Is Promoted by Adipose Triglyceride Lipase Hit paper breakdown → | 2004 | 1733 |
| 2 | 2003 | 177 | |
| 3 | 2003 | 148 | |
| 4 | 2007 | 146 | |
| 5 | 2011 | 46 | |
| 6 | 2004 | 31 | |
| 7 | 2004 | 30 | |
| 8 | 2006 | 27 |
About Georg Neuberger
Georg Neuberger is a scholar working on Molecular Biology, Cell Biology, Physiology, Biochemistry and Infectious Diseases, having authored 8 papers that have together received 2.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (2 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (1 paper), Muscle metabolism and nutrition (1 paper), Adipose Tissue and Metabolism (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Biochemistry (1.0k citations), Physiology (902 citations), Aging (33 citations), Cell Biology (286 citations) and Molecular Biology (1.1k citations). Georg Neuberger has collaborated with scholars based in Austria, United States and Singapore. Frequent co-authors include Frank Eisenhaber, Juliane Gertrude Bogner‐Strauß, Achim Lass, Monika Riederer, Rudolf Zechner, Guenter Haemmerle, Gabriele Schoiswohl, Ruth Birner‐Gruenberger, Albin Hermetter and Robert Zimmermann. Their work appears in journals such as Journal of Molecular Biology, BMC Bioinformatics, Biology Direct, Genome biology and PROTEOMICS.
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.