Silke Häusser‐Kinzel

891 total citations
17 papers, 647 citations indexed

About

Silke Häusser‐Kinzel is a scholar working on Immunology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Silke Häusser‐Kinzel has authored 17 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 13 papers in Pathology and Forensic Medicine and 4 papers in Neurology. Recurrent topics in Silke Häusser‐Kinzel's work include Multiple Sclerosis Research Studies (13 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (9 papers). Silke Häusser‐Kinzel is often cited by papers focused on Multiple Sclerosis Research Studies (13 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (9 papers). Silke Häusser‐Kinzel collaborates with scholars based in Germany, Australia and United States. Silke Häusser‐Kinzel's co-authors include Martin S. Weber, Klaus Lehmann‐Horn, Wolfgang Brück, Sebastian Torke, Darius Häusler, Claude C.A. Bernard, Scott S. Zamvil, Martin Weber, Christine Stadelmann and Gildas Lepennetier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature reviews. Immunology and Annals of Neurology.

In The Last Decade

Silke Häusser‐Kinzel

16 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silke Häusser‐Kinzel Germany 15 409 343 182 103 101 17 647
Sebastian Torke Germany 10 295 0.7× 214 0.6× 123 0.7× 76 0.7× 71 0.7× 14 495
Jamie van Langelaar Netherlands 9 281 0.7× 325 0.9× 72 0.4× 105 1.0× 110 1.1× 14 571
Mirjam Korporal Germany 12 374 0.9× 791 2.3× 89 0.5× 135 1.3× 105 1.0× 12 1.1k
Scott M. Wemlinger United States 9 224 0.5× 181 0.5× 192 1.1× 35 0.3× 84 0.8× 10 442
Robert B. Ratts United States 12 287 0.7× 590 1.7× 63 0.3× 114 1.1× 92 0.9× 15 807
Yann Hyvert United States 7 287 0.7× 213 0.6× 93 0.5× 113 1.1× 35 0.3× 16 438
Paola Valentino Italy 12 314 0.8× 146 0.4× 145 0.8× 105 1.0× 21 0.2× 26 490
Ilan Kolkowitz United States 6 259 0.6× 308 0.9× 96 0.5× 178 1.7× 77 0.8× 8 637
Feng-Jun Mei Japan 6 242 0.6× 176 0.5× 163 0.9× 58 0.6× 68 0.7× 9 433
Brigitte Fritz Germany 6 255 0.6× 605 1.8× 50 0.3× 113 1.1× 70 0.7× 6 753

Countries citing papers authored by Silke Häusser‐Kinzel

Since Specialization
Citations

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

Fields of papers citing papers by Silke Häusser‐Kinzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silke Häusser‐Kinzel. 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 Silke Häusser‐Kinzel. The network helps show where Silke Häusser‐Kinzel may publish in the future.

Co-authorship network of co-authors of Silke Häusser‐Kinzel

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

All Works

17 of 17 papers shown
1.
Nessler, Stefan, et al.. (2025). Bruton Tyrosine Kinase Inhibition Limits Multiple Sclerosis Disease–Driving Inflammation While Promoting Regulatory B Cells. Neurology Neuroimmunology & Neuroinflammation. 13(1). e200510–e200510.
2.
Häusser‐Kinzel, Silke, et al.. (2023). IL-10-providing B cells govern pro-inflammatory activity of macrophages and microglia in CNS autoimmunity. Acta Neuropathologica. 145(4). 461–477. 14 indexed citations
3.
Häusser‐Kinzel, Silke, et al.. (2023). Trogocytosis challenges the cellular specificity of lineage markers and monoclonal antibodies. Nature reviews. Immunology. 23(9). 539–540. 8 indexed citations
4.
Torke, Sebastian, Matthias Klein, Cathrin Gudd, et al.. (2022). Proinflammatory CD20 + T cells contribute to CNS-directed autoimmunity. Science Translational Medicine. 14(638). eabi4632–eabi4632. 53 indexed citations
5.
Häusser‐Kinzel, Silke, et al.. (2021). Proinflammatory CD20+ T Cells are Differentially Affected by Multiple Sclerosis Therapeutics. Annals of Neurology. 90(5). 834–839. 21 indexed citations
6.
Häusser‐Kinzel, Silke, et al.. (2020). Differential Effects of MS Therapeutics on B Cells—Implications for Their Use and Failure in AQP4-Positive NMOSD Patients. International Journal of Molecular Sciences. 21(14). 5021–5021. 25 indexed citations
7.
Torke, Sebastian, et al.. (2020). B cells reappear less mature and more activated after their anti-CD20–mediated depletion in multiple sclerosis. Proceedings of the National Academy of Sciences. 117(41). 25690–25699. 60 indexed citations
8.
Häusser‐Kinzel, Silke & Martin S. Weber. (2019). The Role of B Cells and Antibodies in Multiple Sclerosis, Neuromyelitis Optica, and Related Disorders. Frontiers in Immunology. 10. 201–201. 95 indexed citations
9.
Pellkofer, Hannah, et al.. (2019). Natalizumab promotes activation and pro-inflammatory differentiation of peripheral B cells in multiple sclerosis patients. Journal of Neuroinflammation. 16(1). 228–228. 30 indexed citations
10.
Häusser‐Kinzel, Silke, et al.. (2019). Dimethyl fumarate impairs differentiated B cells and fosters central nervous system integrity in treatment of multiple sclerosis. Brain Pathology. 29(5). 640–657. 24 indexed citations
11.
Häusler, Darius, Silke Häusser‐Kinzel, Sebastian Torke, et al.. (2018). Functional characterization of reappearing B cells after anti-CD20 treatment of CNS autoimmune disease. Proceedings of the National Academy of Sciences. 115(39). 9773–9778. 76 indexed citations
12.
Häusser‐Kinzel, Silke & Martin Weber. (2017). The Role of Peripheral CNS‐Directed Antibodies in Promoting Inflammatory CNS Demyelination. Brain Sciences. 7(7). 70–70. 16 indexed citations
13.
Lehmann‐Horn, Klaus, Silke Häusser‐Kinzel, & Martin S. Weber. (2017). Deciphering the Role of B Cells in Multiple Sclerosis—Towards Specific Targeting of Pathogenic Function. International Journal of Molecular Sciences. 18(10). 2048–2048. 61 indexed citations
14.
Häusser‐Kinzel, Silke & Martin S. Weber. (2016). B Cell-Directed Therapeutics in Multiple Sclerosis: Rationale and Clinical Evidence. CNS Drugs. 30(12). 1137–1148. 41 indexed citations
15.
Häusser‐Kinzel, Silke, Klaus Lehmann‐Horn, Sebastian Torke, et al.. (2016). Myelin-reactive antibodies initiate T cell-mediated CNS autoimmune disease by opsonization of endogenous antigen. Acta Neuropathologica. 132(1). 43–58. 81 indexed citations
16.
Lehmann‐Horn, Klaus, Silke Häusser‐Kinzel, Bernhard Hemmer, et al.. (2014). Intrathecal anti‐ CD 20 efficiently depletes meningeal B cells in CNS autoimmunity. Annals of Clinical and Translational Neurology. 1(7). 490–496. 24 indexed citations
17.
Lehmann‐Horn, Klaus, Silke Häusser‐Kinzel, Petra D. Cravens, et al.. (2013). Developmental maturation of innate immune cell function correlates with susceptibility to central nervous system autoimmunity. European Journal of Immunology. 43(8). 2078–2088. 18 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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