Christian Schläger

1.6k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Christian Schläger is a scholar working on Neurology, Molecular Biology and Immunology. According to data from OpenAlex, Christian Schläger has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Christian Schläger's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune Cell Function and Interaction (2 papers) and Barrier Structure and Function Studies (1 paper). Christian Schläger is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune Cell Function and Interaction (2 papers) and Barrier Structure and Function Studies (1 paper). Christian Schläger collaborates with scholars based in Germany, Switzerland and Canada. Christian Schläger's co-authors include Francesca Odoardi, Alexander Flügel, Hartmut Wekerle, Thomas B. Issekutz, Wolfgang E. F. Klinkert, Joachim W. Ellwart, Cassandra Flügel‐Koch, Ingo Bartholomäus, Djordje Miljković and Naoto Kawakami and has published in prestigious journals such as Nature, Nature Medicine and PLoS ONE.

In The Last Decade

Christian Schläger

8 papers receiving 1.3k citations

Hit Papers

Effector T cell interacti... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Schläger Germany 6 606 589 277 221 182 8 1.3k
Katarzyna Biernacki Canada 15 399 0.7× 481 0.8× 255 0.9× 182 0.8× 155 0.9× 19 1.1k
Cassandra Flügel‐Koch Germany 16 484 0.8× 505 0.9× 305 1.1× 521 2.4× 138 0.8× 20 1.7k
Cheng‐Chih Hsiao Netherlands 19 459 0.8× 345 0.6× 186 0.7× 491 2.2× 134 0.7× 37 1.2k
Anne Cotleur United States 14 563 0.9× 456 0.8× 265 1.0× 201 0.9× 171 0.9× 20 1.2k
P.-B. Andersson United States 15 369 0.6× 618 1.0× 300 1.1× 304 1.4× 120 0.7× 16 1.4k
Francesca Ruffini Italy 21 566 0.9× 571 1.0× 341 1.2× 665 3.0× 154 0.8× 30 1.7k
Vijayabalan Balasingam Canada 12 429 0.7× 551 0.9× 236 0.9× 580 2.6× 259 1.4× 13 1.6k
Sarah Floris Netherlands 11 282 0.5× 293 0.5× 175 0.6× 244 1.1× 94 0.5× 11 835
Peter J. Darlington Canada 18 753 1.2× 257 0.4× 463 1.7× 447 2.0× 215 1.2× 35 1.6k
Sebastian G. Utz Switzerland 11 1.1k 1.8× 1.1k 1.8× 105 0.4× 472 2.1× 249 1.4× 12 2.0k

Countries citing papers authored by Christian Schläger

Since Specialization
Citations

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

Fields of papers citing papers by Christian Schläger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Schläger

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

All Works

8 of 8 papers shown
1.
Schläger, Christian, et al.. (2016). Analysis of Chemokine Receptor Trafficking by Site-Specific Biotinylation. PLoS ONE. 11(6). e0157502–e0157502. 6 indexed citations
2.
Schläger, Christian, Henrike Körner, Martin Krueger, et al.. (2016). Effector T-cell trafficking between the leptomeninges and the cerebrospinal fluid. Nature. 530(7590). 349–353. 288 indexed citations
3.
Schläger, Christian, et al.. (2014). In Vivo Visualization of (Auto)Immune Processes in the Central Nervous System of Rodents. Methods in molecular biology. 1304. 117–129. 8 indexed citations
4.
Lodygin, Dmitri, Francesca Odoardi, Christian Schläger, et al.. (2013). A combination of fluorescent NFAT and H2B sensors uncovers dynamics of T cell activation in real time during CNS autoimmunity. Nature Medicine. 19(6). 784–790. 103 indexed citations
5.
Odoardi, Francesca, Christopher Sie, Vijay K. Ulaganathan, et al.. (2012). T cells become licensed in the lung to enter the central nervous system. Nature. 488(7413). 675–679. 326 indexed citations
6.
Flügel, Alexander, Christian Schläger, Fred Lühder, & Francesca Odoardi. (2011). Autoimmune disease in the brain – how to spot the culprits and how to keep them in check. Journal of the Neurological Sciences. 311. S3–S11. 2 indexed citations
7.
Bartholomäus, Ingo, Naoto Kawakami, Francesca Odoardi, et al.. (2009). Effector T cell interactions with meningeal vascular structures in nascent autoimmune CNS lesions. Nature. 462(7269). 94–98. 534 indexed citations breakdown →
8.
Bartholomäus, Ingo, Christian Schläger, Volker Brinkmann, Hartmut Wekerle, & Alexander Flügel. (2008). Intravital 2-photon imaging of encephalitogenic effector cells during fingolimod (FTY720) treatment of experimental autoimmune encephalomyelitis. Multiple Sclerosis Journal. 14. 4 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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