Mareike Verbeek
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 18
- Hematopoietic Stem Cell Transplantation 15
- Acute Myeloid Leukemia Research 8
- Oncology 6
- Polyomavirus and related diseases 2
- Co-authors
- Christian Peschel (7 shared papers)Silvia Spoerl (5 shared papers)Kristina Maas‐Bauer (3 shared papers)Hendrik Poeck (4 shared papers)Nimitha R. Mathew (2 shared papers)Julius Fischer (1 shared paper)Robert Zeiser (3 shared papers)Vera Otten (1 shared paper)
- Journals
- Blood (5 papers)Transfusion (3 papers)Bone Marrow Transplantation (2 papers)BMC Infectious Diseases (2 papers)Neurology Neuroimmunology & Neuroinflammation (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Mareike Verbeek
32 papers receiving 512 citations
Peers
Comparison fields: 5 of 77
- Hematology 318
- Genetics 103
- Immunology 172
- Transplantation 14
- Oncology 85
Countries citing papers authored by Mareike Verbeek
This map shows the geographic impact of Mareike Verbeek'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 Mareike Verbeek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mareike Verbeek more than expected).
Fields of papers citing papers by Mareike Verbeek
This network shows the impact of papers produced by Mareike Verbeek. 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 Mareike Verbeek. The network helps show where Mareike Verbeek may publish in the future.
Co-authors
The 25 scholars most cited alongside Mareike Verbeek, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 292 | |
| 2 | 2022 | 32 | |
| 3 | 2018 | 27 | |
| 4 | 2016 | 23 | |
| 5 | 2014 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2016 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2014 | 7 | |
| 13 | 2018 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2015 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2025 | 3 |
About Mareike Verbeek
Mareike Verbeek is a scholar working on Hematology, Oncology, Immunology, Infectious Diseases and Epidemiology, having authored 36 papers that have together received 518 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), Acute Myeloid Leukemia Research (8 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Antifungal resistance and susceptibility (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Hematology (318 citations), Genetics (103 citations), Immunology (172 citations), Transplantation (14 citations) and Oncology (85 citations). Mareike Verbeek has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Christian Peschel, Silvia Spoerl, Kristina Maas‐Bauer, Hendrik Poeck, Nimitha R. Mathew, Julius Fischer, Robert Zeiser, Vera Otten, Tony Mueller and Justus Duyster. Their work appears in journals such as Blood, Transfusion, Bone Marrow Transplantation, BMC Infectious Diseases and Neurology Neuroimmunology & Neuroinflammation.
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.