Peter E. H. Schwarz

1.0k total citations
18 papers, 666 citations indexed

About

Peter E. H. Schwarz is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and General Health Professions. According to data from OpenAlex, Peter E. H. Schwarz has authored 18 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 3 papers in General Health Professions. Recurrent topics in Peter E. H. Schwarz's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (7 papers) and Diabetes Management and Education (4 papers). Peter E. H. Schwarz is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (7 papers) and Diabetes Management and Education (4 papers). Peter E. H. Schwarz collaborates with scholars based in Germany, Finland and Greece. Peter E. H. Schwarz's co-authors include Jaakko Tuomilehto, Jaana Lindström, Antje Bergmann, Sarama Saha, Thomas Haak, Bernhard Kulzer, S. Bornstein, Norbert Hermanns, Helene von Bibra and Gabriele Müller and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Scientific Reports.

In The Last Decade

Peter E. H. Schwarz

15 papers receiving 635 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter E. H. Schwarz Germany	11	404	131	127	123	106	18	666
Sidartawan Soegondo Indonesia	14	451 1.1×	111 0.8×	143 1.1×	84 0.7×	110 1.0×	39	810
Anbazhagan Ganesan India	10	370 0.9×	146 1.1×	105 0.8×	231 1.9×	76 0.7×	11	755
Sundaram Selvam India	11	456 1.1×	97 0.7×	120 0.9×	112 0.9×	95 0.9×	15	714
Beverley Balkau France	15	391 1.0×	92 0.7×	259 2.0×	250 2.0×	73 0.7×	17	853
Cilius Esmann Fonvig Denmark	18	207 0.5×	253 1.9×	188 1.5×	231 1.9×	165 1.6×	56	823
Regzedmaa Nyamdorj Finland	6	278 0.7×	186 1.4×	141 1.1×	226 1.8×	68 0.6×	7	660
Velimir Božikov Croatia	15	335 0.8×	124 0.9×	51 0.4×	106 0.9×	155 1.5×	37	819
Jean-Marie Ékoé Canada	12	533 1.3×	127 1.0×	126 1.0×	103 0.8×	103 1.0×	22	868
Ahmet M. Şengül Türkiye	9	358 0.9×	64 0.5×	127 1.0×	104 0.8×	44 0.4×	14	608
Usha Shrivastava India	10	317 0.8×	114 0.9×	147 1.2×	147 1.2×	28 0.3×	11	656

Countries citing papers authored by Peter E. H. Schwarz

Since Specialization

Citations

This map shows the geographic impact of Peter E. H. Schwarz'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 Peter E. H. Schwarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter E. H. Schwarz more than expected).

Fields of papers citing papers by Peter E. H. Schwarz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. H. Schwarz. 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 Peter E. H. Schwarz. The network helps show where Peter E. H. Schwarz may publish in the future.

Co-authorship network of co-authors of Peter E. H. Schwarz

This figure shows the co-authorship network connecting the top 25 collaborators of Peter E. H. Schwarz. A scholar is included among the top collaborators of Peter E. H. Schwarz 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 Peter E. H. Schwarz. Peter E. H. Schwarz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Schwarz, Peter E. H., et al.. (2025). Impact of a digital application on HbA1c levels in people with diabetes: a randomized controlled trial. Frontiers in Digital Health. 7. 1544668–1544668.

Birkenfeld, Andreas L., Leigh Perreault, María Inês Schmidt, et al.. (2025). Defining prediabetes remission as a distinct prevention endpoint. The Lancet Diabetes & Endocrinology. 14(2). 100–102.

Seufert, Jochen, Peter E. H. Schwarz, Matthias Blüher, Baptist Gallwitz, & Jörg Schelling. (2025). Aktuelle Impfempfehlungen für Patienten mit Diabetes mellitus. Diabetologie und Stoffwechsel. 20(5). 347–359. 1 indexed citations

González‐Gil, Esther M., Natalia Giménez-Legarre, Greet Cardon, et al.. (2022). Parental insulin resistance is associated with unhealthy lifestyle behaviours independently of body mass index in children: The Feel4Diabetes study. European Journal of Pediatrics. 181(6). 2513–2522. 3 indexed citations

Lechner, Katharina, Benjamin Lechner, Alexander Crispin, Peter E. H. Schwarz, & Helene von Bibra. (2021). Waist-to-height ratio and metabolic phenotype compared to the Matsuda index for the prediction of insulin resistance. Scientific Reports. 11(1). 8224–8224. 32 indexed citations

Kyrou, Ioannis, Constantine Tsigos, Christina Mavrogianni, et al.. (2020). Sociodemographic and lifestyle-related risk factors for identifying vulnerable groups for type 2 diabetes: a narrative review with emphasis on data from Europe. BMC Endocrine Disorders. 20(S1). 134–134. 164 indexed citations

Bibra, Helene von, Sarama Saha, Alexander Hapfelmeier, Gabriele Müller, & Peter E. H. Schwarz. (2017). Impact of the Triglyceride/High-Density Lipoprotein Cholesterol Ratio and the Hypertriglyceremic-Waist Phenotype to Predict the Metabolic Syndrome and Insulin Resistance. Hormone and Metabolic Research. 49(7). 542–549. 44 indexed citations

Saha, Sarama & Peter E. H. Schwarz. (2017). Impact of glycated hemoglobin (HbA1c) on identifying insulin resistance among apparently healthy individuals. Journal of Public Health. 25(5). 505–512. 23 indexed citations

Schwarz, Peter E. H.. (2016). Das Geburtsgewicht steuert beim Start ins Leben kräftig mit. 10(6). 26–26.

10.

Abdul‐Ghani, Muhammad, Tamam Abdul‐Ghani, Gabriele Müller, et al.. (2011). Role of Glycated Hemoglobin in the Prediction of Future Risk of T2DM. The Journal of Clinical Endocrinology & Metabolism. 96(8). 2596–2600. 41 indexed citations

11.

Kulzer, Bernhard, et al.. (2009). Prevention of Diabetes Self-Management Program (PREDIAS): Effects on Weight, Metabolic Risk Factors, and Behavioral Outcomes. Diabetes Care. 32(7). 1143–1146. 84 indexed citations

12.

Rothe, Ulrike, Gabriele Müller, Rebecca M. Koch, et al.. (2008). Prevalence for the Cluster of Risk Factors of the Metabolic Vascular Syndrome in a Working Population in Germany. Hormone and Metabolic Research. 41(2). 168–170. 4 indexed citations

13.

Bergmann, Antje, et al.. (2008). A More Simplified Finnish Diabetes Risk Score for Opportunistic Screening of Undiagnosed Type 2 Diabetes in a German Population with a Family History of the Metabolic Syndrome. Hormone and Metabolic Research. 41(2). 98–103. 34 indexed citations

14.

Onyegbutulem, H C, et al.. (2008). Metabolic Syndrome in Africa: An Emerging Perspective. Hormone and Metabolic Research. 41(2). 75–78. 11 indexed citations

15.

Schwarz, Peter E. H., et al.. (2008). Tools for Predicting the Risk of Type 2 Diabetes in Daily Practice. Hormone and Metabolic Research. 41(2). 86–97. 158 indexed citations

16.

Schwarz, Peter E. H., et al.. (2007). High Prevalence of Dyslipidemia in the Dresden Jewish Population. Hormone and Metabolic Research. 39(9). 700–701. 1 indexed citations

17.

Bornstein, S., et al.. (2007). The Importance and Effect of Dietary Fiber in Diabetes Prevention with Particular Consideration of Whole Grain Products. Hormone and Metabolic Research. 39(9). 687–693. 49 indexed citations

18.

Schwarz, Peter E. H., Jan Schwarz, Stefan R. Bornstein, & Jan Schulze. (2006). Diabetes Prevention - From Physiology to Implementation. Hormone and Metabolic Research. 38(7). 460–464. 17 indexed citations

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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