Tanja Diana

2.2k total citations
37 papers, 1.4k citations indexed

About

Tanja Diana is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Tanja Diana has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Endocrinology, Diabetes and Metabolism, 23 papers in Pathology and Forensic Medicine and 5 papers in Molecular Biology. Recurrent topics in Tanja Diana's work include Thyroid Disorders and Treatments (29 papers), Ophthalmology and Eye Disorders (23 papers) and Pituitary Gland Disorders and Treatments (10 papers). Tanja Diana is often cited by papers focused on Thyroid Disorders and Treatments (29 papers), Ophthalmology and Eye Disorders (23 papers) and Pituitary Gland Disorders and Treatments (10 papers). Tanja Diana collaborates with scholars based in Germany, United States and Poland. Tanja Diana's co-authors include George J. Kahaly, Paul D. Olivo, Michael Kanitz, J. König, Christian Wüster, Katharina A. Ponto, Lara Frommer, Yunsheng Li, Susanne Pitz and Artur Bossowski and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Chemistry and American Journal of Clinical Pathology.

In The Last Decade

Tanja Diana

36 papers receiving 1.4k citations

Peers

Tanja Diana

EDM

PFM

PHYSI

OPHTH

Nikoo F. Afifiyan United States

S. Pitz Germany

G Bruno-Bossio Italy

Giulia Lanzolla Italy

Iris M.M.J. Wakelkamp Netherlands

Barbara Mazzi Italy

Janusz Myśliwiec Poland

Piotr Miśkiewicz Poland

WILLIAM A. VALENTE United States

Vibhavari Naik India

Nikoo F. Afifiyan United States

Tanja Diana

508 ×0.4

EDM

740 ×0.9

PFM

85 ×0.5

PHYSI

254 ×1.5

OPHTH

104 ×0.7

Citations per year, relative to Tanja Diana Tanja Diana (= 1×) peers Nikoo F. Afifiyan

Countries citing papers authored by Tanja Diana

Since Specialization

Citations

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

Fields of papers citing papers by Tanja Diana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Diana

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

All Works

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20 of 20 papers shown

Diana, Tanja, et al.. (2021). Clinical value of functional thyrotropin receptor antibodies in Serbian patients with Graves’ orbitopathy. Journal of Endocrinological Investigation. 45(1). 189–197. 16 indexed citations

Diana, Tanja, Martin Ungerer, Christian Wüster, et al.. (2021). A cyclic peptide significantly improves thyroid function, thyrotropin-receptor antibodies and orbital mucine /collagen content in a long-term Graves’ disease mouse model. Journal of Autoimmunity. 122. 102666–102666. 17 indexed citations

Diana, Tanja, Katharina A. Ponto, & George J. Kahaly. (2020). Thyrotropin receptor antibodies and Graves’ orbitopathy. Journal of Endocrinological Investigation. 44(4). 703–712. 54 indexed citations

Diana, Tanja, Hans‐Peter Holthoff, Christian Wüster, et al.. (2020). A Novel Long-Term Graves’ Disease Animal Model Confirmed by Functional Thyrotropin Receptor Antibodies. European Thyroid Journal. 9(Suppl. 1). 51–58. 21 indexed citations

Kahaly, George J., Tanja Diana, Michael Kanitz, & Paul D. Olivo. (2020). OR18-03 Functional TSH Receptor Antibodies Are a Biomarker for Graves’ Disease - a Prospective Trial. Journal of the Endocrine Society. 4(Supplement_1). 1 indexed citations

Kahaly, George J., Tanja Diana, Michael Kanitz, Lara Frommer, & Paul D. Olivo. (2019). Prospective Trial of Functional Thyrotropin Receptor Antibodies in Graves Disease. The Journal of Clinical Endocrinology & Metabolism. 105(4). e1006–e1014. 64 indexed citations

Kahaly, George J., Christian Wüster, Paul D. Olivo, & Tanja Diana. (2019). High Titers of Thyrotropin Receptor Antibodies Are Associated With Orbitopathy in Patients With Graves Disease. The Journal of Clinical Endocrinology & Metabolism. 104(7). 2561–2568. 48 indexed citations

Riedl, Michaela, et al.. (2019). Systemic safety analysis of mycophenolate in Graves’ orbitopathy. Journal of Endocrinological Investigation. 43(6). 767–777. 20 indexed citations

Diana, Tanja, Paul D. Olivo, Yie‐Hwa Chang, et al.. (2019). Comparison of a Novel Homogeneous Cyclic Amp Assay and a Luciferase Assay for Measuring Stimulating Thyrotropin-Receptor Autoantibodies. European Thyroid Journal. 9(2). 67–72. 12 indexed citations

10.

Frommer, Lara, et al.. (2019). Immunohistochemical analysis of human orbital tissue in Graves’ orbitopathy. Journal of Endocrinological Investigation. 43(2). 123–137. 47 indexed citations

11.

Diana, Tanja, Jesse S. Krause, Paul D. Olivo, et al.. (2017). Prevalence and clinical relevance of thyroid stimulating hormone receptor-blocking antibodies in autoimmune thyroid disease. Clinical & Experimental Immunology. 189(3). 304–309. 53 indexed citations

12.

Kahaly, George J., Michaela Riedl, J. König, Tanja Diana, & Lutz Schomburg. (2017). Double-Blind, Placebo-Controlled, Randomized Trial of Selenium in Graves Hyperthyroidism. The Journal of Clinical Endocrinology & Metabolism. 102(11). 4333–4341. 38 indexed citations

13.

Bossowski, Artur, Marcin Moniuszko, Kamil Grubczak, et al.. (2016). Decreased Proportions of CD4+IL17+/CD4+CD25+CD127− and CD4+IL17+/CD4+CD25+CD127-FoxP3+T Cells in Children with Autoimmune Thyroid Diseases. 86. 1 indexed citations

14.

Kahaly, George J., et al.. (2016). Thyroid Stimulating Antibodies Are Highly Prevalent in Hashimoto's Thyroiditis and Associated Orbitopathy. The Journal of Clinical Endocrinology & Metabolism. 101(5). 1998–2004. 81 indexed citations

15.

Diana, Tanja, Yunsheng Li, Paul D. Olivo, et al.. (2016). Analytical Performance and Validation of a Bioassay for Thyroid-Blocking Antibodies. Thyroid. 26(5). 734–740. 34 indexed citations

16.

Diana, Tanja, Christian Wüster, Michael Kanitz, & George J. Kahaly. (2016). Highly variable sensitivity of five binding and two bio-assays for TSH-receptor antibodies. Journal of Endocrinological Investigation. 39(10). 1159–1165. 61 indexed citations

17.

Ponto, Katharina A., Tanja Diana, Harald Binder, et al.. (2015). Thyroid-stimulating immunoglobulins indicate the onset of dysthyroid optic neuropathy. Journal of Endocrinological Investigation. 38(7). 769–777. 48 indexed citations

18.

Diana, Tanja, et al.. (2014). Standardization of a Bioassay for Thyrotropin Receptor Stimulating Autoantibodies. Thyroid. 25(2). 169–175. 52 indexed citations

19.

Ponto, Katharina A., Detlef Schuppan, Isabella Zwiener, et al.. (2014). Thyroid-associated orbitopathy is linked to gastrointestinal autoimmunity. Clinical & Experimental Immunology. 178(1). 57–64. 32 indexed citations

20.

Kashef, Jubin, Tanja Diana, Michael Oelgeschläger, & Irina Nazarenko. (2012). Expression of the tetraspanin family members Tspan3, Tspan4, Tspan5 and Tspan7 during Xenopus laevis embryonic development. Gene Expression Patterns. 13(1-2). 1–11. 12 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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