Sabine Schipf
About
Sabine Schipf is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine.
According to data from OpenAlex, Sabine Schipf has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Epidemiology and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sabine Schipf's work include Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Diabetes and associated disorders (11 papers) and Chronic Disease Management Strategies (10 papers). Sabine Schipf is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Diabetes and associated disorders (11 papers) and Chronic Disease Management Strategies (10 papers). Sabine Schipf collaborates with scholars based in Germany, United States and Italy. Sabine Schipf's 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 and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
In The Last Decade
Sabine Schipf
76 papers receiving 1.8k citations
Peers
Sabine Schipf
Ga Eun Nam South Korea
Nevin Dınççağ Türkiye
Naoko Mukai Japan
Chaicharn Deerochanawong Thailand
Chia‐Ing Li Taiwan
Yu‐Sen Peng Taiwan
Kubilay Karşıdağ Türkiye
Robin Haring Germany
H A Tyroler United States
Citations per year, relative to Sabine Schipf Sabine Schipf (= 1×)
peers
Ga Eun Nam
Countries citing papers authored by Sabine Schipf
Since
Specialization
Citations
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
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
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
1.
Markus, Marcello Ricardo Paulista, Till Ittermann, Joany Mariño, et al.. (2025). Low-density lipoprotein cholesterol, lipoprotein(a) and high-sensitivity C-reactive protein are independent predictors of cardiovascular events. European Heart Journal. 46(39). 3863–3874.
2.
Laclaustra, Martín, Sabine Schipf, José Manuel Lou-Bonafonte, et al.. (2024). Higher Parametric Thyroid Feedback Quantile-based Index Is a Predictor of Type 2 Diabetes in a German Population Sample. The Journal of Clinical Endocrinology & Metabolism. 109(12). e2205–e2213.
3.
Kosilek, Robert P., Till Ittermann, Dörte Radke, et al.. (2023). Laser-Based 3D Body Scanning Reveals a Higher Prevalence of Abdominal Obesity than Tape Measurements: Results from a Population-Based Sample. Diagnostics. 13(15). 2594–2594.
4.
Schipf, Sabine, Robin Bülow, Nicole Werner, et al.. (2022). Association between hepatic iron overload assessed by magnetic resonance imaging and glucose intolerance states in the general population. Nutrition Metabolism and Cardiovascular Diseases. 32(6). 1470–1476.
5.
Maier, Werner, Sabine Schipf, Henry Völzke, et al.. (2021). Educational Level, but Not Income or Area Deprivation, is Related to Macrovascular Disease: Results From Two Population-Based Cohorts in Germany. International Journal of Public Health. 66. 633909–633909.
6.
Schipf, Sabine, Till Ittermann, Marcus Dörr, et al.. (2017). Comparison of traditional diabetes risk scores and HbA1c to predict type 2 diabetes mellitus in a population based cohort study. Journal of Diabetes and its Complications. 31(11). 1602–1607.
7.
Block, Andrea, Sabine Schipf, Sandra Van der Auwera, et al.. (2016). Sex- and age-specific associations between major depressive disorder and metabolic syndrome in two general population samples in Germany. Nordic Journal of Psychiatry. 70(8). 611–620.
8.
Hartwig, Saskia, Alexander Kluttig, Daniel Tiller, et al.. (2016). Anthropometric markers and their association with incident type 2 diabetes mellitus: which marker is best for prediction? Pooled analysis of four German population-based cohort studies and comparison with a nationwide cohort study. BMJ Open. 6(1). e009266–e009266.
9.
Stöckl, Doris, Margit Heier, Annette Peters, et al.. (2016). Regional Variability of Lifestyle Factors and Hypertension with Prediabetes and Newly Diagnosed Type 2 Diabetes Mellitus: The Population-Based KORA-F4 and SHIP-TREND Studies in Germany. PLoS ONE. 11(6). e0156736–e0156736.
10.
Schunk, Michaela, Peter Reitmeir, Sabine Schipf, et al.. (2014). Health-related quality of life in women and men with type 2 diabetes: a comparison across treatment groups. Journal of Diabetes and its Complications. 29(2). 203–211.
11.
Tamayo, Teresa, Sabine Schipf, Christa Meisinger, et al.. (2014). Regional Differences of Undiagnosed Type 2 Diabetes and Prediabetes Prevalence Are Not Explained by Known Risk Factors. PLoS ONE. 9(11). e113154–e113154.
12.
Müller, German, Jürgen Wellmann, Susanne Moebus, et al.. (2014). Association of neighbourhood unemployment rate with incident Type 2 diabetes mellitus in five German regions. Diabetic Medicine. 32(8). 1017–1022.
13.
Meisinger, Christa, Till Ittermann, Daniel Tiller, et al.. (2013). Sex-Specific Associations Between Thyrotropin and Serum Lipid Profiles. Thyroid. 24(3). 424–432.
14.
Müller, German, Alexander Kluttig, Karin Halina Greiser, et al.. (2013). Regional and Neighborhood Disparities in the Odds of Type 2 Diabetes: Results From 5 Population-Based Studies in Germany (DIAB-CORE Consortium). American Journal of Epidemiology. 178(2). 221–230.
15.
Empen, Klaus, Roberto Lorbeer, Henry Völzke, et al.. (2013). Do patients with type 1 and type 2 diabetes really have an impaired endothelial function? A population-based propensity score matching analysis. Cardiovascular Diabetology. 12(1). 174–174.
16.
Schipf, Sabine, André Werner, T. Tamayo, et al.. (2012). Regional differences in the prevalence of known Type 2 diabetes mellitus in 45–74 years old individuals: Results from six population‐based studies in Germany (DIAB‐CORE Consortium). Diabetic Medicine. 29(7). e88–95.
17.
Maier, Werner, Rolf Holle, Matthias Hünger, et al.. (2012). The impact of regional deprivation and individual socio‐economic status on the prevalence of Type 2 diabetes in Germany. A pooled analysis of five population‐based studies. Diabetic Medicine. 30(3). e78–86.
18.
Schneider, Harald J., Nele Friedrich, Jens Klotsche, et al.. (2010). Prediction of incident diabetes mellitus by baseline IGF1 levels. European Journal of Endocrinology. 164(2). 223–229.
19.
Haring, Robin, Henry Völzke, Stephan B. Felix, et al.. (2009). Prediction of metabolic syndrome by low serum testosterone levels in men: results from the Study of Health in Pomerania. 20.
20.
Kaur, Gaganpreet, Birte Holtfreter, Christian Schwahn, et al.. (2009). Association between type 1 and type 2 diabetes with periodontal disease and tooth loss. Journal Of Clinical Periodontology. 36(9). 765–774.
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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