Tanja Arndt

437 total citations
13 papers, 339 citations indexed

About

Tanja Arndt is a scholar working on Genetics, Surgery and Immunology. According to data from OpenAlex, Tanja Arndt has authored 13 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Surgery and 7 papers in Immunology. Recurrent topics in Tanja Arndt's work include Diabetes and associated disorders (9 papers), Pancreatic function and diabetes (8 papers) and Immune Cell Function and Interaction (5 papers). Tanja Arndt is often cited by papers focused on Diabetes and associated disorders (9 papers), Pancreatic function and diabetes (8 papers) and Immune Cell Function and Interaction (5 papers). Tanja Arndt collaborates with scholars based in Germany, Netherlands and South Africa. Tanja Arndt's co-authors include Dirk Wedekind, Anne Jörns, Sigurd Lenzen, Anke Kraft, Ulf Dittmer, Gennadiy Zelinskyy, Simone Schimmer, Hans-Jürgen Hedrich, Andreas Meyer zu Vilsendorf and Klaus Jan Rath and has published in prestigious journals such as PLoS ONE, Diabetes and Endocrinology.

In The Last Decade

Tanja Arndt

13 papers receiving 333 citations

Peers

Tanja Arndt
Linbing Qu China
Kathrin Thiem Netherlands
Halena R. VanDeusen United States
Hiroshi Fujiya Japan
Carmen Gómez Spain
Caterina Di Pietro Italy
Djésia Arnone France
Judith Pignac-Kobinger United States
Margie Huebner United States
R Gomis Spain
Linbing Qu China
Tanja Arndt
Citations per year, relative to Tanja Arndt Tanja Arndt (= 1×) peers Linbing Qu

Countries citing papers authored by Tanja Arndt

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Arndt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Arndt

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

All Works

13 of 13 papers shown
1.
Jörns, Anne, Tanja Arndt, Shinichiro Yamada, et al.. (2020). Translation of curative therapy concepts with T cell and cytokine antibody combinations for type 1 diabetes reversal in the IDDM rat. Journal of Molecular Medicine. 98(8). 1125–1137. 3 indexed citations
2.
3.
Tsikas, Dimitrios, Erik Hanff, Alexander Bollenbach, et al.. (2018). Results, meta-analysis and a first evaluation of UNOxR, the urinary nitrate-to-nitrite molar ratio, as a measure of nitrite reabsorption in experimental and clinical settings. Amino Acids. 50(7). 799–821. 23 indexed citations
4.
Arndt, Tanja, Dirk Wedekind, Anne Jörns, et al.. (2015). A novel Dock8 gene mutation confers diabetogenic susceptibility in the LEW.1AR1/Ztm-iddm rat, an animal model of human type 1 diabetes. Diabetologia. 58(12). 2800–2809. 9 indexed citations
5.
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Jörns, Anne, Muharrem Akin, Tanja Arndt, et al.. (2014). Anti-TCR therapy combined with fingolimod for reversal of diabetic hyperglycemia by β cell regeneration in the LEW.1AR1-iddm rat model of type 1 diabetes. Journal of Molecular Medicine. 92(7). 743–55. 22 indexed citations
7.
Jörns, Anne, Tanja Arndt, Andreas Meyer zu Vilsendorf, et al.. (2013). Islet infiltration, cytokine expression and beta cell death in the NOD mouse, BB rat, Komeda rat, LEW.1AR1-iddm rat and humans with type 1 diabetes. Diabetologia. 57(3). 512–521. 71 indexed citations
8.
Arndt, Tanja, Anne Jörns, Markus Tiedge, et al.. (2013). A Variable CD3+ T-Cell Frequency in Peripheral Blood Lymphocytes Associated with Type 1 Diabetes Mellitus Development in the LEW.1AR1-iddm Rat. PLoS ONE. 8(5). e64305–e64305. 15 indexed citations
9.
Jörns, Anne, Klaus Jan Rath, Tanja Arndt, et al.. (2010). Diabetes Prevention by Immunomodulatory FTY720 Treatment in the LEW.1AR1-iddm Rat Despite Immune Cell Activation. Endocrinology. 151(8). 3555–3565. 40 indexed citations
10.
Arndt, Tanja, Anne Jörns, Sigurd Lenzen, et al.. (2008). The mutation of the LEW.1AR1-iddm rat maps to the telomeric end of rat chromosome 1. Mammalian Genome. 19(4). 292–297. 10 indexed citations
11.
Erdmann, Silke, Sabine Senkel, Tanja Arndt, et al.. (2007). Tissue-specific transcription factor HNF4α inhibits cell proliferation and induces apoptosis in the pancreatic INS-1 β-cell line. Biological Chemistry. 388(1). 25 indexed citations
12.
Zelinskyy, Gennadiy, Anke Kraft, Simone Schimmer, Tanja Arndt, & Ulf Dittmer. (2006). Kinetics of CD8+ effector T cell responses and induced CD4+ regulatory T cell responses during Friend retrovirus infection. European Journal of Immunology. 36(10). 2658–2670. 88 indexed citations
13.
Kraft, Anke, Tanja Arndt, Kim J. Hasenkrug, & Ulf Dittmer. (2005). Effective treatment of retrovirus-induced suppression of antibody responses with CpG oligodeoxynucleotides. Journal of General Virology. 86(12). 3365–3368. 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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