Christian Meisel

18.6k total citations · 2 hit papers
192 papers, 11.1k citations indexed

About

Christian Meisel is a scholar working on Immunology, Epidemiology and Neurology. According to data from OpenAlex, Christian Meisel has authored 192 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Immunology, 41 papers in Epidemiology and 34 papers in Neurology. Recurrent topics in Christian Meisel's work include Neuroinflammation and Neurodegeneration Mechanisms (30 papers), Immune Response and Inflammation (26 papers) and T-cell and B-cell Immunology (21 papers). Christian Meisel is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (30 papers), Immune Response and Inflammation (26 papers) and T-cell and B-cell Immunology (21 papers). Christian Meisel collaborates with scholars based in Germany, United States and Switzerland. Christian Meisel's co-authors include Andreas Meisel, Hans‐Dieter Volk, Ulrich Dirnagl, Konstantin Prass, Ivar Roots, Johann Braun, Jan M. Schwab, Juliane Klehmet, Julia Kirchheiner and Cornelia Platzer and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Christian Meisel

188 papers receiving 10.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Central nervous system injury-induced immune deficiency syndrome

2005 718 citations Christian Meisel, Andreas Meisel et al. profile →
Stroke-induced Immunodeficiency Promotes Spontaneous Bacterial Infections and Is Mediated by Sympathetic Activation Reversal by Poststroke T Helper Cell Type 1–like Immunostimulation

2003 718 citations Christian Meisel, Josef Priller et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Meisel Germany	56	3.6k	2.8k	2.5k	2.0k	1.6k	192	11.1k
Angelika Bierhaus Germany	74	4.5k 1.3×	2.4k 0.8×	1.6k 0.6×	6.2k 3.1×	959 0.6×	247	22.7k
Bo Hu China	42	1.7k 0.5×	1.3k 0.4×	1.5k 0.6×	2.8k 1.4×	5.2k 3.3×	157	12.4k
Fabrizio Montecucco Italy	59	3.0k 0.8×	2.3k 0.8×	691 0.3×	3.5k 1.7×	605 0.4×	403	13.1k
Huan Yang United States	45	4.2k 1.2×	1.2k 0.4×	1.2k 0.5×	3.5k 1.7×	242 0.2×	91	10.2k
Irshad H. Chaudry United States	73	6.7k 1.8×	6.4k 2.3×	682 0.3×	5.2k 2.6×	1.1k 0.7×	510	23.1k
Alfred Ayala United States	71	8.0k 2.2×	5.3k 1.9×	531 0.2×	3.5k 1.7×	425 0.3×	355	16.7k
Mitsuo Iida Japan	73	1.9k 0.5×	3.3k 1.2×	1.2k 0.5×	2.9k 1.5×	929 0.6×	528	18.6k
Dai‐Shi Tian China	34	1.3k 0.4×	860 0.3×	1.9k 0.8×	1.6k 0.8×	2.5k 1.6×	114	8.2k
Xinfeng Liu China	56	894 0.2×	5.1k 1.8×	2.5k 1.0×	3.5k 1.7×	2.9k 1.8×	573	14.4k
Yong-ming Yao China	43	2.3k 0.6×	2.0k 0.7×	609 0.2×	2.5k 1.2×	269 0.2×	317	7.3k

Countries citing papers authored by Christian Meisel

Since Specialization

Citations

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

Fields of papers citing papers by Christian Meisel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Meisel

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

All Works

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20 of 20 papers shown

Meisel, Christian, et al.. (2025). Detection of autoantibodies against Interferon Type I in patients with autochthonous West Nile Virus encephalitis. Brain Behavior & Immunity - Health. 48. 101085–101085.

Hewing, Bernd, Fabian Knebel, Christian Meisel, et al.. (2024). Effect of inferior caval valve implantation on circulating immune cells and inflammatory mediators in severe tricuspid regurgitation. BMC Cardiovascular Disorders. 24(1). 373–373.

Palà, Elena, Anna Peñalba, Alejandro Bustamante, et al.. (2023). Blood biomarker changes following therapeutic hypothermia in ischemic stroke. Brain and Behavior. 13(11). e3230–e3230. 3 indexed citations

Mustea, Alexander, Damian J. Ralser, Eva K. Egger, et al.. (2023). Determination of the Cancer Genome Atlas (TCGA) Endometrial Cancer Molecular Subtypes Using the Variant Interpretation and Clinical Decision Support Software MH Guide. Cancers. 15(7). 2053–2053. 6 indexed citations

Meyer, Thomas, Patrick Weydt, Susanne Petri, et al.. (2023). Neurofilament light‐chain response during therapy with antisense oligonucleotide tofersen in SOD1‐related ALS: Treatment experience in clinical practice. Muscle & Nerve. 67(6). 515–521. 53 indexed citations

Uruha, Akinori, Jens Klotsche, Nadine Unterwalder, et al.. (2022). SIGLEC1 enables straightforward assessment of type I interferon activity in idiopathic inflammatory myopathies. RMD Open. 8(1). e001934–e001934. 25 indexed citations

Klotsche, Jens, Thomas Rose, Tilmann Kallinich, et al.. (2021). Evaluation of SIGLEC1 in the diagnosis of suspected systemic lupus erythematosus. Lara D. Veeken. 61(8). 3396–3400. 10 indexed citations

Meisel, Christian, Tim Meyer, Erwin Lankes, et al.. (2021). Mild COVID-19 despite autoantibodies against type I IFNs in autoimmune polyendocrine syndrome type 1. Journal of Clinical Investigation. 131(14). 55 indexed citations

Gutbier, Birgitt, et al.. (2021). Efficacy and safety of intratracheal IFN-γ treatment to reverse stroke-induced susceptibility to pulmonary bacterial infections. Journal of Neuroimmunology. 355. 577568–577568. 2 indexed citations

10.

Dames, Claudia, et al.. (2020). Impact of Key Nicotinic AChR Subunits on Post-Stroke Pneumococcal Pneumonia. Vaccines. 8(2). 253–253. 4 indexed citations

11.

Priller, Josef, et al.. (2020). Interaction of microglia with infiltrating immune cells in the different phases of stroke. Brain Pathology. 30(6). 1208–1218. 56 indexed citations

12.

García‐Berrocoso, Teresa, Elena Palà, Benedetta Piccardi, et al.. (2019). Cardioembolic Ischemic Stroke Gene Expression Fingerprint in Blood: a Systematic Review and Verification Analysis. Translational Stroke Research. 11(3). 326–336. 18 indexed citations

13.

Schlickeiser, Stephan, Katrin Vogt, Christine Appelt, et al.. (2019). Killer-like receptors and GPR56 progressive expression defines cytokine production of human CD4+ memory T cells. Nature Communications. 10(1). 2263–2263. 56 indexed citations

14.

Reinke, Simon, Sven Geißler, William R. Taylor, et al.. (2013). Terminally Differentiated CD8 ⁺ T Cells Negatively Affect Bone Regeneration in Humans. Science Translational Medicine. 5(177). 177ra36–177ra36. 259 indexed citations

15.

Meisel, Christian, Joerg C. Schefold, René Pschowski, et al.. (2009). Granulocyte–Macrophage Colony-stimulating Factor to Reverse Sepsis-associated Immunosuppression: A Double-Blind, Randomized, Placebo-controlled Multicenter Trial. American Journal of Respiratory and Critical Care Medicine. 180(7). 640–648. 455 indexed citations

16.

Zwam, Marloes van, Ruth Huizinga, Marie‐José Melief, et al.. (2008). Brain antigens in functionally distinct antigen-presenting cell populations in cervical lymph nodes in MS and EAE. Journal of Molecular Medicine. 87(3). 273–286. 118 indexed citations

17.

Meisel, Christian, Julia L. Newton, Sinead Harney, B P Wordsworth, & Matthew A. Brown. (2004). Gene expression profiling of treatment response to anti-TNF-alpha therapy in rheumatoid arthritis. Queensland's institutional digital repository (The University of Queensland). 50(9). 1 indexed citations

18.

Meisel, Christian, Vahid Afshar‐Kharghan, Ingolf Cascorbi, et al.. (2001). Role of Kozak sequence polymorphism of platelet glycoprotein Ibα as a risk factor for coronary artery disease and catheter interventions. Journal of the American College of Cardiology. 38(4). 1023–1027. 21 indexed citations

19.

Mrozikiewicz, P.M., Ingolf Cascorbi, Sabine Ziemer, et al.. (2000). Reduced procedural risk for coronary catheter interventions in carriers of the coagulation factor VII-Gln353 gene. Journal of the American College of Cardiology. 36(5). 1520–1525. 15 indexed citations

20.

Vayssairat, M, et al.. (1976). [New cases of familial generalized cortical hyperostosis with dominant transmission (Worth's type) (author's transl)].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 10(57). 719–24. 3 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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