Georg Egger

42 papers receiving 5.7k citations

Georg Egger's Hit Papers

Prevalence of insulin resistance in metabolic disorders: the Bruneck Study. 1998 · 721 citations
7210+9+18Years since publication200400600

Peers

Georg Egger
Comparison fields: 5 of 146
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Cardiology and Cardiovascular Medicine 779
  • Immunology 635
  • Hematology 331
  • Biochemistry 175
Replace Friedrich Oberhollenzer with:
Friedrich Oberhollenzer Austria
Hans J. Rupprecht Germany
JEF J. EMEIS Netherlands
David A. Power Australia
Yoshinari Yasuda Japan
Juan F. Navarro‐González Spain
Markus Exner Austria
Christoph Bickel Germany
Chikako Ito Japan
Margit Fröhlich Germany
Georg Egger relative to Friedrich Oberhollenzer Austria Friedrich Oberhollenzer's profile →
Citations per field
00.5×1.5×
Friedrich Oberhollenzer · 1×
Citations per year

Countries citing papers authored by Georg Egger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Georg Egger Line = papers co-authored together Georg Egger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 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 →
1998721
2 2001447
3 1999435
4 2000377
5 1997343
6 2007285
7 2003277
8 1999250
9 2004229
10 2013220
11 1999211
12 1998160
13 2003157
14 2014146
15 2017145
16 2018133
17 2000127
18 2000114
19 1994110
20 2007108

About Georg Egger

Georg Egger is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology, Biochemistry and Hematology, having authored 45 papers that have together received 6.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Lipoproteins and Cardiovascular Health (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Diabetes and associated disorders (2 papers), Heat shock proteins research (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Cardiology and Cardiovascular Medicine (779 citations), Immunology (635 citations), Hematology (331 citations) and Biochemistry (175 citations). Georg Egger has collaborated with scholars based in Austria, Italy and United Kingdom. Frequent co-authors include Johann Willeit, Stefan Julia Kiechl, Friedrich Oberhollenzer, Enzo Bonora, Michele Muggeo, Riccardo C. Bonadonna, Manuel Mayr, Qingbo Xu, Werner H Poewe and Fritz Oberhollenzer. Their work appears in journals such as Circulation, Stroke, Diabetes Care, Arteriosclerosis Thrombosis and Vascular Biology and Diabetologia.

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.

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