Friedrich Oberhollenzer
- Molecular Biology top 5%
- Immunology top 2%
- Cancer Research top 1%
- Epidemiology top 2%
- Physiology top 2%
- Co-authors
- Johann WilleitStefan KiechlGeorg EggerEnzo BonoraManuel MayrSiegfried WegerChristian J. WiedermannAgnes Mayr
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Atherosclerosis and Cardiovascular Diseases (5 papers)
- Cited by
- AgingCancer ResearchImmunology
- Partner nations
- AustriaItalyUnited Kingdom
In The Last Decade
Friedrich Oberhollenzer
34 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 2.3k
- Immunology 1.5k
- Cancer Research 1.2k
- Epidemiology 1.2k
- Physiology 1.1k
Countries citing papers authored by Friedrich Oberhollenzer
This map shows the geographic impact of Friedrich Oberhollenzer'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 Friedrich Oberhollenzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedrich Oberhollenzer more than expected).
Fields of papers citing papers by Friedrich Oberhollenzer
This network shows the impact of papers produced by Friedrich Oberhollenzer. 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 Friedrich Oberhollenzer. The network helps show where Friedrich Oberhollenzer may publish in the future.
Co-authorship network of co-authors of Friedrich Oberhollenzer
This figure shows the co-authorship network connecting the top 25 collaborators of Friedrich Oberhollenzer. A scholar is included among the top collaborators of Friedrich Oberhollenzer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Friedrich Oberhollenzer. Friedrich Oberhollenzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 130 | |
| 2 | 2 | |
| 3 | 372 | |
| 4 | 70 | |
| 5 | 6 | |
| 6 | 56 | |
| 7 | 120 | |
| 8 | 268 | |
| 9 | 160 | |
| 10 | 75 | |
| 11 | 26 | |
| 12 | 52 | |
| 13 | Toll-like Receptor 4 Polymorphisms and Atherogenesisbreakdown → | 820 |
| 14 | 398 | |
| 15 | 90 | |
| 16 | 402 | |
| 17 | 225 | |
| 18 | 312 | |
| 19 | 106 | |
| 20 | 22 |
About Friedrich Oberhollenzer
Friedrich Oberhollenzer is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 6.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). The work is most often cited by research in Aging (166 citations), Cancer Research (1.2k citations) and Immunology (1.5k citations). Friedrich Oberhollenzer has collaborated with scholars based in Austria, Italy and United Kingdom. Frequent co-authors include Johann Willeit, Stefan Kiechl, Georg Egger, Enzo Bonora, Manuel Mayr, Siegfried Weger, Christian J. Wiedermann, Agnes Mayr, Peter Willeit and Michele Muggeo. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.