Karina Eiwen
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 14
- Acute Myeloid Leukemia Research 10
- Hematopoietic Stem Cell Transplantation 4
- Chronic Myeloid Leukemia Treatments 3
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- Epigenetics and DNA Methylation 3
- Co-authors
- Konstanze Döhner (11 shared papers)Hartmut Döhner (11 shared papers)Richard F. Schlenk (11 shared papers)Stefan Fröhling (5 shared papers)Claudia Scholl (4 shared papers)Arnold Ganser (7 shared papers)Jürgen Krauter (7 shared papers)Lars Bullinger (4 shared papers)
- Journals
- Blood (8 papers)Journal of Clinical Oncology (2 papers)Haematologica (2 papers)Stem Cells (1 paper)The EMBO Journal (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Karina Eiwen
18 papers receiving 688 citations
Peers
Comparison fields: 5 of 63
- Hematology 478
- Genetics 133
- Aging 17
- Immunology 116
- Molecular Biology 356
Countries citing papers authored by Karina Eiwen
This map shows the geographic impact of Karina Eiwen'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 Karina Eiwen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karina Eiwen more than expected).
Fields of papers citing papers by Karina Eiwen
This network shows the impact of papers produced by Karina Eiwen. 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 Karina Eiwen. The network helps show where Karina Eiwen may publish in the future.
Co-authors
The 25 scholars most cited alongside Karina Eiwen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 187 | |
| 2 | 2017 | 117 | |
| 3 | 2010 | 107 | |
| 4 | 2007 | 98 | |
| 5 | 2018 | 64 | |
| 6 | The prognostic value of MLL-AF9 detection in patients with t(9;11)(p22;q23)-positive acute myeloid leukemia. | 2005 | 33 |
| 7 | 2021 | 30 | |
| 8 | 2021 | 19 | |
| 9 | 2019 | 13 | |
| 10 | 2021 | 6 | |
| 11 | 2017 | 5 | |
| 12 | 2006 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2007 | 3 | |
| 15 | 2009 | 2 | |
| 16 | 2009 | 2 | |
| 17 | 2008 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2011 | 0 |
About Karina Eiwen
Karina Eiwen is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 695 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Epigenetics and DNA Methylation (3 papers), T-cell and B-cell Immunology (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (478 citations), Genetics (133 citations), Aging (17 citations), Immunology (116 citations) and Molecular Biology (356 citations). Karina Eiwen has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Konstanze Döhner, Hartmut Döhner, Richard F. Schlenk, Stefan Fröhling, Claudia Scholl, Arnold Ganser, Jürgen Krauter, Lars Bullinger, Hartmut Geiger and Vadim Sakk. Their work appears in journals such as Blood, Journal of Clinical Oncology, Haematologica, Stem Cells and The EMBO Journal.
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.