Matthias Eyrich
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 45
- Immune Cell Function and Interaction 25
- T-cell and B-cell Immunology 20
- Immunotherapy and Immune Responses 19
- Hematology 39
- Hematopoietic Stem Cell Transplantation 32
- Co-authors
- Paul G. Schlegel (31 shared papers)Verena Wiegering (28 shared papers)Matthias Wölfl (26 shared papers)D. Niethammer (13 shared papers)Peter Bader (12 shared papers)Rupert Handgretinger (15 shared papers)Beate Winkler (17 shared papers)Paul G. Schlegel (22 shared papers)
- Journals
- Blood (9 papers)British Journal of Haematology (6 papers)Bone Marrow Transplantation (6 papers)Cytotherapy (5 papers)Frontiers in Pediatrics (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Matthias Eyrich
92 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Hematology 686
- Immunology 689
- Genetics 203
- Oncology 494
- Epidemiology 404
Countries citing papers authored by Matthias Eyrich
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
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-authors
The 25 scholars most cited alongside Matthias Eyrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 225 | |
| 2 | 2009 | 82 | |
| 3 | 2003 | 78 | |
| 4 | 2001 | 77 | |
| 5 | 2018 | 63 | |
| 6 | 2011 | 60 | |
| 7 | 2008 | 55 | |
| 8 | 2018 | 52 | |
| 9 | 2003 | 52 | |
| 10 | 2009 | 49 | |
| 11 | 2020 | 46 | |
| 12 | 2011 | 45 | |
| 13 | 2003 | 44 | |
| 14 | 2005 | 39 | |
| 15 | 2017 | 36 | |
| 16 | 2023 | 35 | |
| 17 | 2022 | 34 | |
| 18 | 2009 | 31 | |
| 19 | 2012 | 31 | |
| 20 | 2014 | 30 |
About Matthias Eyrich
Matthias Eyrich is a scholar working on Immunology, Hematology, Oncology, Genetics and Epidemiology, having authored 97 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (32 papers), Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (20 papers), Immunotherapy and Immune Responses (19 papers), Glioma Diagnosis and Treatment (14 papers), Acute Lymphoblastic Leukemia research (12 papers), CAR-T cell therapy research (12 papers) and Neuroblastoma Research and Treatments (6 papers). The work is most often cited by research in Hematology (686 citations), Immunology (689 citations), Genetics (203 citations), Oncology (494 citations) and Epidemiology (404 citations). Matthias Eyrich has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Paul G. Schlegel, Verena Wiegering, Matthias Wölfl, D. Niethammer, Peter Bader, Rupert Handgretinger, Beate Winkler, Paul G. Schlegel, Peter Lang and Karin Schilbach. Their work appears in journals such as Blood, British Journal of Haematology, Bone Marrow Transplantation, Cytotherapy and Frontiers in Pediatrics.
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.