Wilfried Schgoer
- Molecular Biology
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Josef R. PatschRudolf KirchmairMarkus TheurlAndreas RitschKarin Albrecht-SchgoerIvan TancevskiKathrin EllerAndreas Wehinger
- Topics
- Cholesterol and Lipid Metabolism (8 papers)Lipoproteins and Cardiovascular Health (6 papers)Angiogenesis and VEGF in Cancer (6 papers)
- Journals
- CirculationBloodPLoS ONE
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Wilfried Schgoer
31 papers receiving 883 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 332
- Surgery 231
- Cardiology and Cardiovascular Medicine 175
- Endocrinology, Diabetes and Metabolism 154
- Cellular and Molecular Neuroscience 122
Countries citing papers authored by Wilfried Schgoer
This map shows the geographic impact of Wilfried Schgoer'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 Wilfried Schgoer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilfried Schgoer more than expected).
Fields of papers citing papers by Wilfried Schgoer
This network shows the impact of papers produced by Wilfried Schgoer. 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 Wilfried Schgoer. The network helps show where Wilfried Schgoer may publish in the future.
Co-authorship network of co-authors of Wilfried Schgoer
This figure shows the co-authorship network connecting the top 25 collaborators of Wilfried Schgoer. A scholar is included among the top collaborators of Wilfried Schgoer 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 Wilfried Schgoer. Wilfried Schgoer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 105 | |
| 3 | 14 | |
| 4 | 17 | |
| 5 | 20 | |
| 6 | 43 | |
| 7 | 43 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 75 | |
| 11 | 29 | |
| 12 | 10 | |
| 13 | 25 | |
| 14 | 43 | |
| 15 | Hyperthyroidism decreases plasma HDL cholesterol by inhibition of hepatic ABCA1 expression | 1 |
| 16 | 6 | |
| 17 | 28 | |
| 18 | 19 | |
| 19 | 2 | |
| 20 | 13 |
About Wilfried Schgoer
Wilfried Schgoer is a scholar working on Cancer Research, Surgery and Biochemistry, having authored 31 papers that have together received 894 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Angiogenesis and VEGF in Cancer (6 papers). The work is most often cited by research in Hematology (120 citations), Endocrinology, Diabetes and Metabolism (154 citations) and Cardiology and Cardiovascular Medicine (175 citations). Wilfried Schgoer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Josef R. Patsch, Rudolf Kirchmair, Markus Theurl, Andreas Ritsch, Karin Albrecht-Schgoer, Ivan Tancevski, Kathrin Eller, Andreas Wehinger, Arno Beer and Ursula Stanzl. Their work appears in journals such as Circulation, Blood and PLoS ONE.
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.