Matthias Eyrich

3.5k total citations
93 papers, 1.8k citations indexed

About

Matthias Eyrich is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Matthias Eyrich has authored 93 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Immunology, 40 papers in Hematology and 30 papers in Oncology. Recurrent topics in Matthias Eyrich's work include Hematopoietic Stem Cell Transplantation (32 papers), Immune Cell Function and Interaction (30 papers) and T-cell and B-cell Immunology (27 papers). Matthias Eyrich is often cited by papers focused on Hematopoietic Stem Cell Transplantation (32 papers), Immune Cell Function and Interaction (30 papers) and T-cell and B-cell Immunology (27 papers). Matthias Eyrich collaborates with scholars based in Germany, United States and United Kingdom. Matthias Eyrich's co-authors include Paul G. Schlegel, Verena Wiegering, Matthias Wölfl, D. Niethammer, Peter Bader, Beate Winkler, Rupert Handgretinger, Paul G. Schlegel, Peter Lang and Karin Schilbach and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Matthias Eyrich

89 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Eyrich Germany 27 752 709 556 446 263 93 1.8k
Cornelia M. Jol‐van der Zijde Netherlands 25 767 1.0× 634 0.9× 252 0.5× 397 0.9× 225 0.9× 48 2.0k
Karl‐Walter Sykora Germany 20 580 0.8× 755 1.1× 518 0.9× 355 0.8× 332 1.3× 45 2.2k
Yuko Osugi Japan 23 788 1.0× 773 1.1× 546 1.0× 365 0.8× 135 0.5× 48 2.0k
Pietro Merli Italy 26 601 0.8× 909 1.3× 442 0.8× 176 0.4× 150 0.6× 109 1.8k
A.H. Filipovich United States 23 922 1.2× 1.2k 1.8× 520 0.9× 297 0.7× 174 0.7× 47 2.0k
Julián Sevilla Spain 26 640 0.9× 1.2k 1.7× 485 0.9× 230 0.5× 344 1.3× 130 2.3k
Junichi Sugita Japan 25 677 0.9× 750 1.1× 465 0.8× 197 0.4× 117 0.4× 117 1.8k
David Senitzer United States 28 1.1k 1.4× 647 0.9× 295 0.5× 433 1.0× 156 0.6× 115 2.3k
Loren Gragert United States 22 1.2k 1.6× 1.0k 1.4× 271 0.5× 169 0.4× 192 0.7× 71 2.3k
Premini Mahendra United Kingdom 18 894 1.2× 999 1.4× 555 1.0× 557 1.2× 160 0.6× 33 1.9k

Countries citing papers authored by Matthias Eyrich

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Eyrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Eyrich

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Eyrich. A scholar is included among the top collaborators of Matthias Eyrich 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 Matthias Eyrich. Matthias Eyrich 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.
Warmuth‐Metz, Monika, Camelia‐Maria Monoranu, Torsten Pietsch, et al.. (2025). Leptomeningeal Dissemination in Choroid Plexus Tumors: Magnetic Resonance Imaging Appearance and Risk Factors. Children. 12(1). 82–82.
2.
Metselaar, Dennis S., Maria Vinci, Fabio Scirocchi, et al.. (2025). The Complexity of Malignant Glioma Treatment. Cancers. 17(5). 879–879. 5 indexed citations
3.
Bachar-Lustig, Esther, Matthias Eyrich, Indreshpal Kaur, et al.. (2023). Generation of Non-Alloreactive Antiviral Central Memory CD8 Human Veto T Cells for Cell Therapy. Transplantation and Cellular Therapy. 30(1). 71.e1–71.e13. 2 indexed citations
4.
Warmuth‐Metz, Monika, et al.. (2022). DIPG- Very Long-Term Survivors – are There Factors Which May Predict a Better Outcome?. Klinische Pädiatrie. 234(6). 391–394. 2 indexed citations
5.
6.
Ottensmeier, Holger, Paul G. Schlegel, Matthias Eyrich, et al.. (2020). Treatment of children under 4 years of age with medulloblastoma and ependymoma in the HIT2000/HIT-REZ 2005 trials: Neuropsychological outcome 5 years after treatment. PLoS ONE. 15(1). e0227693–e0227693. 13 indexed citations
7.
Weißbrich, Benedikt, et al.. (2020). Viral reactivations following hematopoietic stem cell transplantation in pediatric patients – A single center 11-year analysis. PLoS ONE. 15(2). e0228451–e0228451. 43 indexed citations
8.
Hagemann, Carsten, Mathias Dahlmann, Almuth F. Keßler, et al.. (2019). Circulating MACC1 Transcripts in Glioblastoma Patients Predict Prognosis and Treatment Response. Cancers. 11(6). 825–825. 9 indexed citations
9.
Marcu, Ana & Matthias Eyrich. (2019). Therapeutic vaccine strategies to induce tumor-specific T-cell responses. Bone Marrow Transplantation. 54(S2). 806–809. 2 indexed citations
10.
Löhr, Mario, Antje Technau, Jürgen Krauß, et al.. (2018). High-grade glioma associated immunosuppression does not prevent immune responses induced by therapeutic vaccines in combination with Treg depletion. Cancer Immunology Immunotherapy. 67(10). 1545–1558. 18 indexed citations
11.
12.
Wurster, Sebastian, Manfred B. Lutz, Oliver Morton, et al.. (2017). Human and Murine Innate Immune Cell Populations Display Common and Distinct Response Patterns during Their In Vitro Interaction with the Pathogenic Mold Aspergillus fumigatus. Frontiers in Immunology. 8. 1716–1716. 8 indexed citations
13.
Eyrich, Matthias, et al.. (2016). Disturbed B cell and DC-Homeostasis in Pediatric cGVHD Patients-Cocultivation Experiments and Review of the Literature. 1(1). 1 indexed citations
14.
Müller, Isabelle, Matthias Eyrich, Brigitte K. Flesch, et al.. (2016). Tumor antigen–specific T cells for immune monitoring of dendritic cell–treated glioblastoma patients. Cytotherapy. 18(9). 1146–1161. 6 indexed citations
15.
Wiegering, Verena, Beate Winkler, Imme Haubitz, et al.. (2012). Lower TGFß serum levels and higher frequency of IFNγ‐producing T cells during early immune reconstitution in surviving children after allogeneic stem cell transplantation. Pediatric Blood & Cancer. 60(1). 121–128. 6 indexed citations
16.
Wiegering, Verena, Matthias Eyrich, Stefan Rutkowski, et al.. (2011). TH1 predominance is associated with improved survival in pediatric medulloblastoma patients. Cancer Immunology Immunotherapy. 60(5). 693–703. 16 indexed citations
17.
Wölfl, Matthias, Henner Morbach, Stefaan W. Van Gool, et al.. (2010). Primed tumor-reactive multifunctional CD62L+ human CD8+ T cells for immunotherapy. Cancer Immunology Immunotherapy. 60(2). 173–186. 30 indexed citations
18.
Wiegering, Verena, et al.. (2009). Age-related changes in intracellular cytokine expression in healthy children. European Cytokine Network. 20(2). 75–80. 31 indexed citations
19.
Wölfl, Matthias, Jürgen Kuball, Matthias Eyrich, Paul G. Schlegel, & Philip D. Greenberg. (2008). Use of CD137 to study the full repertoire of CD8+ T cells without the need to know epitope specificities. Cytometry Part A. 73A(11). 1043–1049. 53 indexed citations
20.
Eyrich, Matthias, Klaus Dietz, Peter Bader, et al.. (2005). Onset of thymic recovery and plateau of thymic output are differentially regulated after stem cell transplantation in children. Biology of Blood and Marrow Transplantation. 11(3). 194–205. 37 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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