Karl-Michael Derwahl

3.8k total citations
8 papers, 113 citations indexed

About

Karl-Michael Derwahl is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Karl-Michael Derwahl has authored 8 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Karl-Michael Derwahl's work include Diabetes Management and Research (2 papers), Protein purification and stability (1 paper) and Hormonal and reproductive studies (1 paper). Karl-Michael Derwahl is often cited by papers focused on Diabetes Management and Research (2 papers), Protein purification and stability (1 paper) and Hormonal and reproductive studies (1 paper). Karl-Michael Derwahl collaborates with scholars based in Germany, France and United States. Karl-Michael Derwahl's co-authors include W. Bartsch, H.-J. Horst, Karin Wernicke‐Panten, Timothy S. Bailey, Lin Ping, Philip Home, Satish K. Garg, M. Ziemen, George J. Kahaly and Daniel Wiens and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Technology & Therapeutics.

In The Last Decade

Karl-Michael Derwahl

7 papers receiving 106 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl-Michael Derwahl Germany 6 70 26 25 24 22 8 113
Urszula Mantaj Poland 9 67 1.0× 47 1.8× 40 1.6× 6 0.3× 31 1.4× 24 185
Lisa D.S. Bloomer United Kingdom 6 17 0.2× 25 1.0× 11 0.4× 13 0.5× 53 2.4× 7 131
Felix Vaura Finland 7 18 0.3× 21 0.8× 25 1.0× 41 1.7× 42 1.9× 14 171
Maria Somali Greece 6 75 1.1× 22 0.8× 13 0.5× 11 0.5× 13 0.6× 10 104
Dimitrios Zouzoulas Greece 6 19 0.3× 15 0.6× 8 0.3× 8 0.3× 5 0.2× 22 83
Aglaia Kyrilli Belgium 7 76 1.1× 32 1.2× 4 0.2× 7 0.3× 7 0.3× 16 95
Marco Crocco Italy 6 33 0.5× 17 0.7× 16 0.6× 4 0.2× 24 1.1× 20 96
S. V. Yureneva Russia 6 30 0.4× 3 0.1× 15 0.6× 9 0.4× 23 1.0× 44 119
Sara Madaschi Italy 6 82 1.2× 9 0.3× 13 0.5× 4 0.2× 19 0.9× 7 113
Gordana Stipančić Croatia 7 100 1.4× 57 2.2× 7 0.3× 6 0.3× 98 4.5× 21 150

Countries citing papers authored by Karl-Michael Derwahl

Since Specialization
Citations

This map shows the geographic impact of Karl-Michael Derwahl'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 Karl-Michael Derwahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl-Michael Derwahl more than expected).

Fields of papers citing papers by Karl-Michael Derwahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl-Michael Derwahl. 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 Karl-Michael Derwahl. The network helps show where Karl-Michael Derwahl may publish in the future.

Co-authorship network of co-authors of Karl-Michael Derwahl

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

All Works

8 of 8 papers shown
1.
Home, Philip, et al.. (2018). Anti-Insulin Antibodies and Adverse Events with Biosimilar Insulin Lispro Compared with Humalog Insulin Lispro in People with Diabetes. Diabetes Technology & Therapeutics. 20(2). 160–170. 21 indexed citations
2.
Derwahl, Karl-Michael. (2018). Medikamentöse Therapie des Schilddrüsenknotens. Laryngo-Rhino-Otologie. 97(2). 89–91.
3.
Derwahl, Karl-Michael, et al.. (2017). Efficacy and Safety of Biosimilar SAR342434 Insulin Lispro in Adults with Type 2 Diabetes, Also Using Insulin Glargine: SORELLA 2 Study. Diabetes Technology & Therapeutics. 20(1). 49–58. 19 indexed citations
4.
Merkel, Daniel, et al.. (2015). Comparison Between Various Color Spectra and Conventional Grayscale Imaging for Detection of Parenchymal Liver Lesions With B‐Mode Sonography. Journal of Ultrasound in Medicine. 34(9). 1529–1534. 7 indexed citations
5.
Merkel, Daniel R., et al.. (2014). In situ cooling with ice water for the easier removal of self-expanding nitinol stents. SHILAP Revista de lepidopterología. 3(1). E51–E55. 3 indexed citations
6.
Dietlein, Markus, George J. Kahaly, Carsten Kobe, et al.. (2008). [Obesity, energy regulation and thyroid function: is borderline elevated TSH-level the cause or secondary phenomenon of obesity].. PubMed. 47(5). 181–7. 13 indexed citations
7.
Tack, Cees J., V. Christov, Bastiaan E. de Galan, et al.. (2008). Randomized Forced Titration to Different Doses of Technosphere® Insulin Demonstrates Reduction in Postprandial Glucose Excursions and Hemoglobin A1c in Patients with Type 2 Diabetes. Journal of Diabetes Science and Technology. 2(1). 47–57. 19 indexed citations
8.
Bartsch, W., H.-J. Horst, & Karl-Michael Derwahl. (1980). Interrelationships between Sex Hormone-Binding Globulin and 17β-Estradiol, Testosterone, 5α-Dihydrotestosterone, Thyroxine, and Triiodothyronine in Prepubertal and Pubertal Girls*. The Journal of Clinical Endocrinology & Metabolism. 50(6). 1053–1056. 31 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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