Dagmar Beier

6.6k total citations · 1 hit paper
117 papers, 4.9k citations indexed

About

Dagmar Beier is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Dagmar Beier has authored 117 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Immunology, 21 papers in Surgery and 21 papers in Molecular Biology. Recurrent topics in Dagmar Beier's work include T-cell and Retrovirus Studies (23 papers), Glioma Diagnosis and Treatment (20 papers) and Helicobacter pylori-related gastroenterology studies (20 papers). Dagmar Beier is often cited by papers focused on T-cell and Retrovirus Studies (23 papers), Glioma Diagnosis and Treatment (20 papers) and Helicobacter pylori-related gastroenterology studies (20 papers). Dagmar Beier collaborates with scholars based in Germany, Denmark and United States. Dagmar Beier's co-authors include Christoph P. Beier, Roy Gross, Jörg Wischhusen, Peter Hau, Alexander Brawanski, Martin Proescholdt, Ulrich Bogdahn, Peter J. Oefner, Jörg B. Schulz and Ludwig Aigner and has published in prestigious journals such as Journal of Clinical Oncology, The EMBO Journal and PLoS ONE.

In The Last Decade

Dagmar Beier

110 papers receiving 4.8k citations

Hit Papers

CD133+ and CD133− Glioblastoma-Derived Cancer Stem Cells ... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagmar Beier Germany 37 1.9k 1.5k 1.2k 1.1k 779 117 4.9k
Fumihiko Ishikawa Japan 33 2.0k 1.1× 1.6k 1.1× 743 0.6× 2.3k 2.0× 404 0.5× 90 6.2k
Richard G. Jenner United Kingdom 30 5.5k 3.0× 1.3k 0.9× 280 0.2× 1.5k 1.4× 978 1.3× 55 8.3k
Gary A. Silverman United States 37 2.9k 1.5× 884 0.6× 308 0.3× 948 0.9× 1.8k 2.4× 112 6.3k
Manuel Grez Germany 44 3.9k 2.1× 1.4k 0.9× 376 0.3× 1.2k 1.1× 248 0.3× 127 6.7k
Kaylene J. Simpson Australia 32 2.7k 1.5× 1.8k 1.2× 161 0.1× 407 0.4× 757 1.0× 110 4.7k
Scott Williams United States 46 3.6k 1.9× 756 0.5× 214 0.2× 1.4k 1.2× 323 0.4× 105 5.9k
Yumi Kanegae Japan 36 3.6k 1.9× 1.2k 0.8× 171 0.1× 768 0.7× 560 0.7× 94 5.9k
Rob C. Hoeben Netherlands 48 4.0k 2.1× 1.7k 1.1× 231 0.2× 1.3k 1.1× 322 0.4× 208 7.6k
Shijun Hu China 37 3.4k 1.8× 263 0.2× 499 0.4× 520 0.5× 1.1k 1.4× 134 5.2k
Daniel DiMaio United States 50 4.6k 2.5× 2.3k 1.6× 179 0.1× 1.9k 1.8× 1.1k 1.4× 168 9.5k

Countries citing papers authored by Dagmar Beier

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Beier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Beier

This figure shows the co-authorship network connecting the top 25 collaborators of Dagmar Beier. A scholar is included among the top collaborators of Dagmar Beier 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 Beier. Dagmar Beier 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.
Beier, Dagmar, et al.. (2025). Calcitonin gene-related peptide-targeting drugs efficiently treat abdominal migraine—A case report. University of Southern Denmark Research Portal (University of Southern Denmark). 8.
2.
Beier, Dagmar, Gabriel Bsteh, Stefan Macher, et al.. (2024). Magnetic Resonance Imaging Signs of Idiopathic Intracranial Hypertension. JAMA Network Open. 7(7). e2420138–e2420138. 5 indexed citations
3.
Beier, Dagmar, et al.. (2024). Glucagon-like peptide-1 (GLP-1) receptor agonists for headache and pain disorders: a systematic review. The Journal of Headache and Pain. 25(1). 112–112. 23 indexed citations
5.
Linnet, Jakob, et al.. (2024). The impact of eating disorders on idiopathic intracranial hypertension. Cephalalgia. 44(3). 2225282293–2225282293. 2 indexed citations
6.
Cvetković, Vlasta Vuković, et al.. (2024). Management and Outcome of Pregnancy in Patients With Idiopathic Intracranial Hypertension. Neurology Clinical Practice. 14(1). e200226–e200226. 3 indexed citations
7.
Jensen, Rigmor, Dagmar Beier, Snorre Malm Hagen, et al.. (2024). Metabolic Dysfunction in New‐Onset Idiopathic Intracranial Hypertension: Identification of Novel Biomarkers. Annals of Neurology. 96(3). 595–607. 5 indexed citations
8.
Jensen, Rigmor, et al.. (2023). Diagnosis of idiopathic intracranial hypertension: A proposal for evidence-based diagnostic criteria. Cephalalgia. 43(3). 2215197851–2215197851. 19 indexed citations
9.
Hagen, Snorre Malm, et al.. (2023). Retinal vessel dynamics analysis as a surrogate marker for raised intracranial pressure in patients with suspected idiopathic intracranial hypertension. Cephalalgia. 43(3). 2205192550–2205192550. 4 indexed citations
10.
Beier, Dagmar, Henriette Edemann-Callesen, Louise Ninett Carlsen, et al.. (2021). Manual joint mobilisation techniques, supervised physical activity, psychological treatment, acupuncture and patient education in migraine treatment. A systematic review and meta-analysis. Cephalalgia. 42(1). 63–72. 20 indexed citations
11.
Beier, Dagmar, Jonna Skov Madsen, Dorte Aalund Olsen, et al.. (2020). Neurofilament light chain as biomarker in idiopathic intracranial hypertension. Cephalalgia. 40(12). 1346–1354. 10 indexed citations
12.
Keil, Vera C., Monika Warmuth‐Metz, Christiane Reinert, et al.. (2017). Imaging Biomarkers for Adult Medulloblastomas: Genetic Entities May Be Identified by Their MR Imaging Radiophenotype. American Journal of Neuroradiology. 38(10). 1892–1898. 21 indexed citations
13.
Lottaz, Claudio, Dagmar Beier, Katharina Meyer, et al.. (2010). Transcriptional Profiles of CD133+ and CD133− Glioblastoma-Derived Cancer Stem Cell Lines Suggest Different Cells of Origin. Cancer Research. 70(5). 2030–2040. 207 indexed citations
14.
Beier, Dagmar, Deepu R. Pillai, Stefanie Schwarz, et al.. (2008). Temozolomide Preferentially Depletes Cancer Stem Cells in Glioblastoma. Cancer Research. 68(14). 5706–5715. 232 indexed citations
15.
Beier, Dagmar, Peter Hau, Martin Proescholdt, et al.. (2007). CD133+ and CD133− Glioblastoma-Derived Cancer Stem Cells Show Differential Growth Characteristics and Molecular Profiles. Cancer Research. 67(9). 4010–4015. 876 indexed citations breakdown →
16.
Beier, Dagmar, et al.. (2005). Neue Wege zur effektiveren Tierseuchenbekämpfung durch Bündelung der Diagnostik am Beispiel der enzootischen Rinderleukose (ERL). Tierärztliche Umschau. 60(12). 675–679. 1 indexed citations
18.
Beier, Dagmar, et al.. (1998). Möglichkeiten und Grenzen der Anwendung der Polymerase Kettenreaktion (PCR) bei der Diagnose der Infektion mit dem bovinen Leukosevirus (BLV) des Rindes. OpenAgrar. 1 indexed citations
19.
Dahle, J, et al.. (1994). Prevalenz der Antikörper gegen die Viren der Europäischen Schweinepest, der Aujeszky'schen Krankheit und des "Porcinen reproductive and respiratory syndrome" (PRRS) bei Wildschweinen in den neuen Bundesländern Sachsen-Anhalt und Brandenburg. OpenAgrar. 1 indexed citations
20.
Beier, Dagmar, et al.. (1994). Vergleich serologischer Tests zur Diagnostik der enzootischen Rinderleukose im Rahmen der Sanierung eines Großbestandes. OpenAgrar. 2 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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