Sabine Schipf
- Endocrinology, Diabetes and Metabolism top 1%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Public Health, Environmental and Occupational Health top 5%
- Physiology top 10%
- Co-authors
- Henry VölzkeMarcus DörrMatthias NauckChrista MeisingerWolfgang RathmannTill IttermannHenri WallaschofskiStephan B. Felix
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers)Diabetes and associated disorders (11 papers)Chronic Disease Management Strategies (10 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Sabine Schipf
76 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 127
- Endocrinology, Diabetes and Metabolism 856
- Epidemiology 345
- Cardiology and Cardiovascular Medicine 317
- Public Health, Environmental and Occupational Health 293
- Physiology 260
Countries citing papers authored by Sabine Schipf
This map shows the geographic impact of Sabine Schipf'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 Sabine Schipf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Schipf more than expected).
Fields of papers citing papers by Sabine Schipf
This network shows the impact of papers produced by Sabine Schipf. 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 Sabine Schipf. The network helps show where Sabine Schipf may publish in the future.
Co-authorship network of co-authors of Sabine Schipf
This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Schipf. A scholar is included among the top collaborators of Sabine Schipf 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 Sabine Schipf. Sabine Schipf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 41 | |
| 9 | 17 | |
| 10 | 26 | |
| 11 | 23 | |
| 12 | 11 | |
| 13 | 22 | |
| 14 | 31 | |
| 15 | 7 | |
| 16 | 87 | |
| 17 | 111 | |
| 18 | 51 | |
| 19 | Prediction of metabolic syndrome by low serum testosterone levels in men: results from the Study of Health in Pomerania | 13 |
| 20 | 128 |
About Sabine Schipf
Sabine Schipf is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Periodontics, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Diabetes and associated disorders (11 papers) and Chronic Disease Management Strategies (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (856 citations), Periodontics (169 citations) and Cardiology and Cardiovascular Medicine (317 citations). Sabine Schipf has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Henry Völzke, Marcus Dörr, Matthias Nauck, Christa Meisinger, Wolfgang Rathmann, Till Ittermann, Henri Wallaschofski, Stephan B. Felix, Marcello Ricardo Paulista Markus and Alexander Kluttig. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.