Georg Egger
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
-
- Cardiovascular Health and Disease Prevention
Papers in
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- Cardiovascular Health and Disease Prevention 8
- Cardiovascular Disease and Adiposity 5
- Epidemiology 15
- Adipokines, Inflammation, and Metabolic Diseases 11
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Johann Willeit (33 shared papers)Stefan Kiechl (32 shared papers)Friedrich Oberhollenzer (18 shared papers)Enzo Bonora (14 shared papers)Michele Muggeo (12 shared papers)Riccardo C. Bonadonna (10 shared papers)Manuel Mayr (11 shared papers)Qingbo Xu (8 shared papers)
- Journals
- Circulation (7 papers)Stroke (5 papers)Diabetes Care (4 papers)Diabetes (2 papers)Annals of the Rheumatic Diseases (2 papers)
- Partner nations
- AustriaItalyUnited States
In The Last Decade
Georg Egger
38 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Endocrinology, Diabetes and Metabolism 1.4k
- Cardiology and Cardiovascular Medicine 1.1k
- Epidemiology 1.2k
- Immunology 728
- Hematology 373
Countries citing papers authored by Georg Egger
This map shows the geographic impact of Georg Egger'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 Egger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Egger more than expected).
Fields of papers citing papers by Georg Egger
This network shows the impact of papers produced by Georg Egger. 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 Egger. The network helps show where Georg Egger may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Egger, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prevalence of insulin resistance in metabolic disorders: the Bruneck Study. Hit paper breakdown → | 1998 | 686 |
| 2 | 1999 | 402 | |
| 3 | 2001 | 398 | |
| 4 | 2000 | 341 | |
| 5 | 1997 | 312 | |
| 6 | 2003 | 269 | |
| 7 | 2007 | 268 | |
| 8 | 1999 | 225 | |
| 9 | 2004 | 224 | |
| 10 | 1999 | 198 | |
| 11 | 2003 | 152 | |
| 12 | 1998 | 146 | |
| 13 | 2014 | 138 | |
| 14 | 2017 | 130 | |
| 15 | 2000 | 113 | |
| 16 | 2000 | 110 | |
| 17 | 1994 | 103 | |
| 18 | 2007 | 95 | |
| 19 | 2008 | 94 | |
| 20 | 2000 | 90 |
About Georg Egger
Georg Egger is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 39 papers that have together received 5.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Cardiovascular Health and Disease Prevention (8 papers), Cardiovascular Disease and Adiposity (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Cardiology and Cardiovascular Medicine (1.1k citations), Epidemiology (1.2k citations), Immunology (728 citations) and Hematology (373 citations). Georg Egger has collaborated with scholars based in Austria, Italy and United States. Frequent co-authors include Johann Willeit, Stefan Kiechl, Friedrich Oberhollenzer, Enzo Bonora, Michele Muggeo, Riccardo C. Bonadonna, Manuel Mayr, Qingbo Xu, Fritz Oberhollenzer and Werner Poewe. Their work appears in journals such as Circulation, Stroke, Diabetes Care, Diabetes and Annals of the Rheumatic Diseases.
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.