Dagmar Führer

8.8k total citations
235 papers, 4.4k citations indexed

About

Dagmar Führer is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Dagmar Führer has authored 235 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Endocrinology, Diabetes and Metabolism, 57 papers in Molecular Biology and 41 papers in Epidemiology. Recurrent topics in Dagmar Führer's work include Thyroid Cancer Diagnosis and Treatment (91 papers), Thyroid Disorders and Treatments (84 papers) and Neuroendocrine Tumor Research Advances (35 papers). Dagmar Führer is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (91 papers), Thyroid Disorders and Treatments (84 papers) and Neuroendocrine Tumor Research Advances (35 papers). Dagmar Führer collaborates with scholars based in Germany, United States and United Kingdom. Dagmar Führer's co-authors include Ralf Paschke, Lars C. Moeller, Dagmar Führer‐Sakel, Michael Stümvoll, Stefan Zysset, Kerstin Krause, Henning Dralle, Knut Krohn, Peter Wonerow and Kurt Werner Schmid and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dagmar Führer

220 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagmar Führer Germany 36 2.6k 1.2k 614 589 487 235 4.4k
Marek Ruchała Poland 30 2.2k 0.8× 704 0.6× 869 1.4× 446 0.8× 621 1.3× 363 4.1k
Francesco Trimarchi Italy 40 3.8k 1.5× 891 0.7× 711 1.2× 326 0.6× 499 1.0× 227 5.5k
Trine Bjøro Norway 41 3.0k 1.2× 696 0.6× 736 1.2× 591 1.0× 379 0.8× 119 5.1k
Rui M. B. Maciel Brazil 31 2.2k 0.9× 1.2k 1.0× 600 1.0× 307 0.5× 343 0.7× 186 3.6k
Masanobu Yamada Japan 31 1.7k 0.7× 1.1k 0.9× 803 1.3× 435 0.7× 329 0.7× 208 3.7k
Shinji Kosugi Japan 36 1.5k 0.6× 1.6k 1.3× 346 0.6× 359 0.6× 460 0.9× 177 4.4k
Ad R. Hermus Netherlands 42 3.1k 1.2× 1.8k 1.5× 1.4k 2.3× 507 0.9× 761 1.6× 135 5.3k
Agathocles Tsatsoulis Greece 43 2.0k 0.8× 1.2k 1.0× 454 0.7× 282 0.5× 457 0.9× 131 5.0k
W. Edward Visser Netherlands 46 3.9k 1.5× 891 0.7× 445 0.7× 263 0.4× 328 0.7× 248 7.5k
J. A. Franklyn United Kingdom 41 4.1k 1.6× 967 0.8× 530 0.9× 288 0.5× 293 0.6× 118 5.5k

Countries citing papers authored by Dagmar Führer

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Führer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Führer

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

All Works

20 of 20 papers shown
1.
Führer, Dagmar, et al.. (2025). Real-world efficacy and safety of selpercatinib in RET -mutant medullary thyroid cancer at a Tertiary Referral Center. European Journal of Endocrinology. 193(6). 762–771. 1 indexed citations
2.
Ullrich, Daniel, Dagmar Führer, Heike Heuer, et al.. (2025). Triiodothyronine treatment in mice improves stroke outcome and reduces blood–brain barrier damage. European Thyroid Journal. 14(1).
3.
Machens, Andreas, Kerstin Lorenz, Tim Brandenburg, et al.. (2024). Latest Progress in Risk-Adapted Surgery for Medullary Thyroid Cancer. Cancers. 16(5). 917–917. 6 indexed citations
4.
Benz, C., et al.. (2023). Thyroid Inflammation and Immunity During the COVID-19 Pandemic: A Comprehensive Review and Case Study. Hormone and Metabolic Research. 56(2). 111–117.
5.
6.
Hönes, Georg Sebastian, et al.. (2022). Canonical Thyroid Hormone Receptor β Action Stimulates Hepatocyte Proliferation in Male Mice. Endocrinology. 163(3). 9 indexed citations
7.
Reinhardt, Walter, Nils Mülling, Sven Benson, et al.. (2021). Association between albuminuria and thyroid function in patients with chronic kidney disease. Endocrine. 73(2). 367–373. 11 indexed citations
8.
Hofmann, Ute, et al.. (2020). Hypothyroidism Increases Cholesterol Gallstone Prevalence in Mice by Elevated Hydrophobicity of Primary Bile Acids. Thyroid. 31(6). 973–984. 14 indexed citations
9.
Brandenburg, Tim & Dagmar Führer. (2020). Systemtherapien bei metastasierten Schilddrüsenkarzinomen – zugelassene Therapien und neue Ansätze. Der Chirurg. 91(12). 1038–1043. 1 indexed citations
10.
Weber, Frank, Nicole Unger, Harald Lahner, et al.. (2019). Phäochromozytomatose nach Adrenalektomie: Metastasierung oder Zellverschleppung?. Der Chirurg. 91(4). 345–353. 2 indexed citations
11.
Angelis, Meri De, Kostja Renko, Georg Sebastian Hönes, et al.. (2019). Aging Is Associated with Low Thyroid State and Organ-Specific Sensitivity to Thyroxine. Thyroid. 29(12). 1723–1733. 19 indexed citations
12.
Dinse, Hannah, Georg Sebastian Hönes, Sarah Theurer, et al.. (2019). Increased Anaplastic Lymphoma Kinase Activity Induces a Poorly Differentiated Thyroid Carcinoma in Mice. Thyroid. 29(10). 1438–1446. 7 indexed citations
13.
Dauth, Stephanie, Ruxandra F. Sîrbulescu, Iulian Ilieş, et al.. (2019). Function of Cathepsin K in the Central Nervous System of Male Mice is Independent of Its Role in the Thyroid Gland. Cellular and Molecular Neurobiology. 40(5). 695–710. 9 indexed citations
14.
Newbold, Kate, et al.. (2017). Survey on Paediatric Differentiated Thyroid Cancer Care in Europe. Hormone Research in Paediatrics. 89(1). 58–62. 7 indexed citations
15.
Tiedje, Vera, et al.. (2016). Perspectives for immunotherapy in endocrine cancer. Endocrine Related Cancer. 23(10). R469–R484. 13 indexed citations
16.
Führer, Dagmar. (2010). Hashimoto-Thyreoiditis: Mehr als nur Schilddrüsenhormonmangel?. Journal für Kardiologie (Krause & Pachernegg GmbH).
17.
Grabellus, Florian, Suzan Schwertheim, Kulbir Mann, et al.. (2008). COX-2 Expression in Highly Aggressive Thyroid Malignancies – Indication for a Possible Therapeutic Option?. Hormone and Metabolic Research. 41(4). 314–319. 2 indexed citations
18.
Eszlinger, Markus, Anke Tönjes, François R. Herrmann, et al.. (2006). Cytology and mRNA Expression Analysis of Fine Needle Aspirates of Thyroid Nodules in an East German Region with Borderline Iodine Deficiency. Hormone and Metabolic Research. 38(10). 662–667. 7 indexed citations
19.
Führer, Dagmar, et al.. (2005). Empfehlungen und offene Fragen in der Diagnostik und Therapie von Schilddrüsenknoten. DMW - Deutsche Medizinische Wochenschrift. 130. 1831–1836. 5 indexed citations
20.
Führer, Dagmar, et al.. (1998). The Extracellular Thyrotropin Receptor Domain Is Not a Major Candidate for Mutations in Toxic Thyroid Nodules. Thyroid. 8(11). 997–1001. 14 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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