Birgit Obermeier

4.2k total citations · 1 hit paper
16 papers, 3.3k citations indexed

About

Birgit Obermeier is a scholar working on Neurology, Immunology and Molecular Biology. According to data from OpenAlex, Birgit Obermeier has authored 16 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 5 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Birgit Obermeier's work include Barrier Structure and Function Studies (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Multiple Sclerosis Research Studies (4 papers). Birgit Obermeier is often cited by papers focused on Barrier Structure and Function Studies (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Multiple Sclerosis Research Studies (4 papers). Birgit Obermeier collaborates with scholars based in United States, Japan and Germany. Birgit Obermeier's co-authors include Richard M. Ransohoff, Richard Daneman, Takashi Kanda, Yasuteru Sano, Klaus Dornmair, Reinhard Hohlfeld, Ajay Verma, Fumitaka Shimizu, Reinhard Mentele and Hartmut Wekerle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Birgit Obermeier

16 papers receiving 3.3k citations

Hit Papers

Development, maintenance and disruption of the blood-brai... 2013 2026 2017 2021 2013 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Birgit Obermeier United States 13 1.2k 974 614 593 557 16 3.3k
Yasuteru Sano Japan 30 1.1k 0.9× 901 0.9× 563 0.9× 428 0.7× 313 0.6× 79 2.9k
Fumitaka Shimizu Japan 28 976 0.8× 626 0.6× 610 1.0× 434 0.7× 257 0.5× 88 2.4k
Arie Reijerkerk Netherlands 35 1.1k 0.9× 1.8k 1.8× 223 0.4× 407 0.7× 423 0.8× 50 3.7k
Małgorzata Burek Germany 32 1.1k 0.9× 1.2k 1.3× 367 0.6× 295 0.5× 320 0.6× 83 3.3k
Serge Nataf France 29 739 0.6× 702 0.7× 310 0.5× 553 0.9× 1.0k 1.8× 66 2.9k
Fabián Docagne France 41 1.2k 1.0× 1.4k 1.5× 526 0.9× 369 0.6× 540 1.0× 74 4.7k
Peter Siesjö Sweden 29 446 0.4× 906 0.9× 639 1.0× 215 0.4× 568 1.0× 87 3.0k
Gilles Defer France 28 486 0.4× 659 0.7× 1.0k 1.7× 846 1.4× 218 0.4× 104 3.2k
Qianxue Chen China 35 457 0.4× 2.0k 2.0× 634 1.0× 185 0.3× 386 0.7× 237 4.5k
Srinivasulu Chigurupati United States 26 769 0.6× 1.1k 1.1× 339 0.6× 123 0.2× 539 1.0× 41 3.3k

Countries citing papers authored by Birgit Obermeier

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Obermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birgit Obermeier

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

All Works

16 of 16 papers shown
1.
Spampinato, Simona Federica, Yukio Takeshita, & Birgit Obermeier. (2022). An In Vitro Model of the Blood–Brain Barrier to Study Alzheimer’s Disease: The Role of β-Amyloid and Its Influence on PBMC Infiltration. Methods in molecular biology. 2492. 333–352. 3 indexed citations
2.
Salman, Mootaz M., Graham Marsh, Ilja Küsters, et al.. (2020). Design and Validation of a Human Brain Endothelial Microvessel-on-a-Chip Open Microfluidic Model Enabling Advanced Optical Imaging. Frontiers in Bioengineering and Biotechnology. 8. 573775–573775. 103 indexed citations
3.
Wevers, Nienke R., Karlijn J. Wilschut, Benjamin Smith, et al.. (2018). A perfused human blood–brain barrier on-a-chip for high-throughput assessment of barrier function and antibody transport. Fluids and Barriers of the CNS. 15(1). 23–23. 272 indexed citations
4.
Shimizu, Fumitaka, K Schaller, Gregory P. Owens, et al.. (2017). Glucose-regulated protein 78 autoantibody associates with blood-brain barrier disruption in neuromyelitis optica. Science Translational Medicine. 9(397). 91 indexed citations
5.
Obermeier, Birgit, Ajay Verma, & Richard M. Ransohoff. (2016). The blood–brain barrier. Handbook of clinical neurology. 133. 39–59. 157 indexed citations
6.
Obermeier, Birgit, Makbule Şenel, Reinhard Mentele, et al.. (2016). Distinct oligoclonal band antibodies in multiple sclerosis recognize ubiquitous self-proteins. Proceedings of the National Academy of Sciences. 113(28). 7864–7869. 140 indexed citations
7.
Takeshita, Yukio, Birgit Obermeier, Anne C. Cotleur, et al.. (2016). Effects of neuromyelitis optica–IgG at the blood–brain barrier in vitro. Neurology Neuroimmunology & Neuroinflammation. 4(1). e311–e311. 147 indexed citations
8.
Spampinato, Simona Federica, Birgit Obermeier, Anne Cotleur, et al.. (2015). Sphingosine 1 Phosphate at the Blood Brain Barrier: Can the Modulation of S1P Receptor 1 Influence the Response of Endothelial Cells and Astrocytes to Inflammatory Stimuli?. PLoS ONE. 10(7). e0133392–e0133392. 69 indexed citations
9.
Takeshita, Yukio, Birgit Obermeier, Anne Cotleur, et al.. (2014). An in vitro blood–brain barrier model combining shear stress and endothelial cell/astrocyte co-culture. Journal of Neuroscience Methods. 232. 165–172. 53 indexed citations
10.
Beltrán, Eduardo, Birgit Obermeier, Markus Moser, et al.. (2014). Intrathecal somatic hypermutation of IgM in multiple sclerosis and neuroinflammation. Brain. 137(10). 2703–2714. 65 indexed citations
11.
Obermeier, Birgit, Richard Daneman, & Richard M. Ransohoff. (2013). Development, maintenance and disruption of the blood-brain barrier. Nature Medicine. 19(12). 1584–1596. 1818 indexed citations breakdown →
12.
Siewert, Katherina, Birgit Obermeier, Joachim Malotka, et al.. (2012). Target Specificity of an Autoreactive Pathogenic Human γδ-T Cell Receptor in Myositis. Journal of Biological Chemistry. 287(25). 20986–20995. 41 indexed citations
13.
Obermeier, Birgit, Laura Lovato, Reinhard Mentele, et al.. (2011). Related B cell clones that populate the CSF and CNS of patients with multiple sclerosis produce CSF immunoglobulin. Journal of Neuroimmunology. 233(1-2). 245–248. 107 indexed citations
14.
Obermeier, Birgit, et al.. (2008). MALT-Lymphom des Ileums als Ursache einer enterokolischen Invagination. DMW - Deutsche Medizinische Wochenschrift. 120(42). 1435–1438. 1 indexed citations
15.
Obermeier, Birgit, Reinhard Mentele, Joachim Malotka, et al.. (2008). Matching of oligoclonal immunoglobulin transcriptomes and proteomes of cerebrospinal fluid in multiple sclerosis. Nature Medicine. 14(6). 688–693. 221 indexed citations
16.
Obermeier, Birgit, Reinhard Mentele, Joachim Malotka, & Klaus Dornmair. (2008). Analysis of patient-specific immunoglobulin proteomes and transcriptomes by PCR cloning and mass spectrometry. Protocol Exchange. 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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