Annika Taube

1.2k total citations
10 papers, 948 citations indexed

About

Annika Taube is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Annika Taube has authored 10 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Annika Taube's work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Muscle Physiology and Disorders (3 papers). Annika Taube is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Muscle Physiology and Disorders (3 papers). Annika Taube collaborates with scholars based in Germany, Sweden and Finland. Annika Taube's co-authors include Kristin Eckardt, Jürgen Eckel, Henrike Sell, A Horrighs, A. Cramer, Raphaela Schlich, Jurga Laurencikiene, Peter Arner, Norbert Tennagels and Marko Lehtonen and has published in prestigious journals such as Diabetes, Diabetologia and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Annika Taube

10 papers receiving 924 citations

Peers

Annika Taube

PHYSI

EPIDE

MB

PHARM

CCM

Kerstin Wåhlén Sweden

Marisa Coelho Portugal

Isabel Viola Wagner Germany

Alessandra Calcagno Italy

Maria Ludovica Monaco Italy

Marica Bordicchia Italy

Christine Y. Christ-Roberts United States

Patrik Löfgren Sweden

Monika Karczewska‐Kupczewska Poland

Thomas Cadoudal France

Kerstin Wåhlén Sweden

Annika Taube

431 ×1.0

PHYSI

404 ×1.1

EPIDE

227 ×1.0

MB

66 ×0.4

PHARM

154 ×1.0

CCM

Citations per year, relative to Annika Taube Annika Taube (= 1×) peers Kerstin Wåhlén

Countries citing papers authored by Annika Taube

Since Specialization

Citations

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

Fields of papers citing papers by Annika Taube

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Taube

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

All Works

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10 of 10 papers shown

1.

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

2.

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

3.

Taube, Annika, et al.. (2012). Adipokines promote lipotoxicity in human skeletal muscle cells. Archives of Physiology and Biochemistry. 118(3). 92–101. 8 indexed citations

4.

Eckardt, Kristin, Annika Taube, & Jürgen Eckel. (2011). Obesity-associated insulin resistance in skeletal muscle: Role of lipid accumulation and physical inactivity. Reviews in Endocrine and Metabolic Disorders. 12(3). 163–172. 119 indexed citations

5.

Sell, Henrike, Jurga Laurencikiene, Annika Taube, et al.. (2009). Chemerin Is a Novel Adipocyte-Derived Factor Inducing Insulin Resistance in Primary Human Skeletal Muscle Cells. Diabetes. 58(12). 2731–2740. 319 indexed citations

6.

Taube, Annika, Kristin Eckardt, & Jürgen Eckel. (2009). Role of lipid-derived mediators in skeletal muscle insulin resistance. American Journal of Physiology-Endocrinology and Metabolism. 297(5). E1004–E1012. 30 indexed citations

7.

Eckardt, Kristin, Henrike Sell, Annika Taube, et al.. (2008). Cannabinoid type 1 receptors in human skeletal muscle cells participate in the negative crosstalk between fat and muscle. Diabetologia. 52(4). 664–674. 125 indexed citations

8.

Sell, Henrike, Kristin Eckardt, Annika Taube, et al.. (2008). Skeletal muscle insulin resistance induced by adipocyte-conditioned medium: underlying mechanisms and reversibility. American Journal of Physiology-Endocrinology and Metabolism. 294(6). E1070–E1077. 49 indexed citations

9.

Taube, Annika, et al.. (2007). [Berkson's fallacy: aortic arteriosclerosis and stroke as an example. Contradictory findings support the hypothesis of low risk of calcium plaque].. PubMed. 104(1-2). 35–7. 1 indexed citations

10.

Lindman, Henrik, Annika Taube, & Jonas Bergh. (1994). Suramin inhibits the growth of human breast cancer cell lines. Studies on parental lines and corresponding sublines with acquired doxorubicin resistance with and without expression of P-glycoprotein.. PubMed. 14(2A). 363–6. 7 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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