Raphaela Schlich

780 total citations
8 papers, 635 citations indexed

About

Raphaela Schlich is a scholar working on Physiology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Raphaela Schlich has authored 8 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Epidemiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Raphaela Schlich's work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Cardiovascular Disease and Adiposity (4 papers). Raphaela Schlich is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Cardiovascular Disease and Adiposity (4 papers). Raphaela Schlich collaborates with scholars based in Germany, Belgium and Sweden. Raphaela Schlich's co-authors include Jürgen Eckel, Henrike Sell, Annika Taube, Kristin Eckardt, Wolfram Trudo Knoefel, Daniela Lamers, Barbara A. Fielding, Peter Arner, Keith N. Frayn and Nora Klöting and has published in prestigious journals such as Diabetes Care, Diabetologia and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Raphaela Schlich

8 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphaela Schlich Germany 8 220 188 176 166 134 8 635
Ruping Pan China 14 379 1.7× 198 1.1× 261 1.5× 117 0.7× 125 0.9× 19 818
Ko Ishikawa Japan 13 298 1.4× 287 1.5× 203 1.2× 75 0.5× 98 0.7× 22 676
Marta M. Swierczynska Germany 8 183 0.8× 181 1.0× 258 1.5× 60 0.4× 113 0.8× 11 642
Richard Reneland Sweden 17 171 0.8× 154 0.8× 355 2.0× 213 1.3× 206 1.5× 29 929
Atul R. Chopra United States 12 373 1.7× 234 1.2× 314 1.8× 51 0.3× 142 1.1× 18 919
Zuzana Kováčová Czechia 14 424 1.9× 381 2.0× 184 1.0× 208 1.3× 66 0.5× 19 797
A Horrighs Germany 6 270 1.2× 312 1.7× 141 0.8× 83 0.5× 83 0.6× 6 662
Clemens Duerrschmid United States 7 265 1.2× 155 0.8× 172 1.0× 148 0.9× 75 0.6× 7 612
Marie Buléon France 12 153 0.7× 146 0.8× 155 0.9× 179 1.1× 101 0.8× 22 839
Tenagne D. Challa Switzerland 15 278 1.3× 276 1.5× 293 1.7× 69 0.4× 127 0.9× 18 743

Countries citing papers authored by Raphaela Schlich

Since Specialization
Citations

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

Fields of papers citing papers by Raphaela Schlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphaela Schlich. 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 Raphaela Schlich. The network helps show where Raphaela Schlich may publish in the future.

Co-authorship network of co-authors of Raphaela Schlich

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaela Schlich. A scholar is included among the top collaborators of Raphaela Schlich 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 Raphaela Schlich. Raphaela Schlich 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.
Schlich, Raphaela, Daniela Lamers, Jürgen Eckel, & Henrike Sell. (2015). Adipokines enhance oleic acid-induced proliferation of vascular smooth muscle cells by inducing CD36 expression. Archives of Physiology and Biochemistry. 121(3). 81–87. 14 indexed citations
2.
Schlich, Raphaela, Sabrina Greulich, Wolfram Trudo Knoefel, et al.. (2013). VEGF in the Crosstalk between Human Adipocytes and Smooth Muscle Cells: Depot-Specific Release from Visceral and Perivascular Adipose Tissue. Mediators of Inflammation. 2013. 1–10. 47 indexed citations
3.
Sell, Henrike, Matthias Blüher, Nora Klöting, et al.. (2013). Adipose Dipeptidyl Peptidase-4 and Obesity. Diabetes Care. 36(12). 4083–4090. 180 indexed citations
4.
Taube, Annika, Raphaela Schlich, Henrike Sell, Kristin Eckardt, & Jürgen Eckel. (2012). Inflammation and metabolic dysfunction: links to cardiovascular diseases. American Journal of Physiology-Heart and Circulatory Physiology. 302(11). H2148–H2165. 184 indexed citations
5.
Taube, Annika, et al.. (2012). Contractile activity of human skeletal muscle cells prevents insulin resistance by inhibiting pro-inflammatory signalling pathways. Diabetologia. 55(4). 1128–1139. 106 indexed citations
6.
Lamers, Daniela, Raphaela Schlich, A Horrighs, et al.. (2012). Differential impact of oleate, palmitate, and adipokines on expression of NF-κB target genes in human vascular smooth muscle cells. Molecular and Cellular Endocrinology. 362(1-2). 194–201. 20 indexed citations
7.
Famulla, Susanne, Raphaela Schlich, Henrike Sell, & Jürgen Eckel. (2012). Differentiation of human adipocytes at physiological oxygen levels results in increased adiponectin secretion and isoproterenol-stimulated lipolysis. Adipocyte. 1(3). 132–181. 31 indexed citations
8.
Lamers, Daniela, Raphaela Schlich, Sabrina Greulich, et al.. (2010). Oleic acid and adipokines synergize in inducing proliferation and inflammatory signalling in human vascular smooth muscle cells. Journal of Cellular and Molecular Medicine. 15(5). 1177–1188. 53 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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