Karina Eiwen

1.6k total citations
20 papers, 695 citations indexed

About

Karina Eiwen is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Karina Eiwen has authored 20 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 8 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Karina Eiwen's work include Acute Myeloid Leukemia Research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Karina Eiwen is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Karina Eiwen collaborates with scholars based in Germany, United States and Netherlands. Karina Eiwen's co-authors include Konstanze Döhner, Hartmut Döhner, Richard F. Schlenk, Stefan Fröhling, Claudia Scholl, Arnold Ganser, Jürgen Krauter, Hartmut Geiger, Lars Bullinger and Vadim Sakk and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and The EMBO Journal.

In The Last Decade

Karina Eiwen

18 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karina Eiwen Germany 9 478 356 133 116 116 20 695
Christopher Slape United States 15 513 1.1× 691 1.9× 91 0.7× 92 0.8× 135 1.2× 29 970
Stephen J. Loughran Australia 10 268 0.6× 315 0.9× 110 0.8× 63 0.5× 95 0.8× 14 536
Shabnam Kharazi Sweden 12 391 0.8× 581 1.6× 98 0.7× 74 0.6× 329 2.8× 19 937
Paolo Gorello Italy 15 568 1.2× 549 1.5× 175 1.3× 257 2.2× 59 0.5× 41 967
Jastinder Sohal United Kingdom 11 452 0.9× 408 1.1× 200 1.5× 113 1.0× 78 0.7× 19 772
Kamaleldin E. Elagib United States 12 358 0.7× 420 1.2× 128 1.0× 42 0.4× 105 0.9× 19 697
Dorothée Selimoglu‐Buet France 13 354 0.7× 379 1.1× 209 1.6× 40 0.3× 133 1.1× 29 692
Seishi Ogawa Japan 5 347 0.7× 285 0.8× 95 0.7× 35 0.3× 118 1.0× 11 508
Zhongling Cai United States 6 666 1.4× 623 1.8× 144 1.1× 117 1.0× 126 1.1× 9 966
Lorrie L. Delehanty United States 11 387 0.8× 286 0.8× 211 1.6× 36 0.3× 76 0.7× 16 649

Countries citing papers authored by Karina Eiwen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Karina Eiwen

This figure shows the co-authorship network connecting the top 25 collaborators of Karina Eiwen. A scholar is included among the top collaborators of Karina Eiwen 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 Karina Eiwen. Karina Eiwen 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.
Saçma, Mehmet, et al.. (2025). Hematopoietic stem cell size heterogeneity is not linked to changes in stem cell potential of aged HSCs. Frontiers in Aging. 6. 1596565–1596565.
2.
Keller, Anja, Markus Hoenicka, Andreas Liebold, et al.. (2021). Aging of human hematopoietic stem cells is linked to changes in Cdc42 activity. Haematologica. 107(2). 393–402. 30 indexed citations
3.
Leins, Hanna, et al.. (2021). KDM6A, a histone demethylase, regulates stress hematopoiesis and early B-cell differentiation. Experimental Hematology. 99. 32–43.e13. 6 indexed citations
4.
Kandi, Ravinder, Karin Soller, Vadim Sakk, et al.. (2021). Cdc42‐Borg4‐Septin7 axis regulates HSC polarity and function. EMBO Reports. 22(12). e52931–e52931. 19 indexed citations
5.
Moehrle, Bettina, et al.. (2019). HPRT and Purine Salvaging Are Critical for Hematopoietic Stem Cell Function. Stem Cells. 37(12). 1606–1614. 13 indexed citations
6.
Han, Yang, Deidre Daria, Kalpana Nattamai, et al.. (2019). The lifespan quantitative trait locus gene Securin controls hematopoietic progenitor cell function. Haematologica. 105(2). 317–324. 3 indexed citations
7.
Leins, Hanna, Medhanie Mulaw, Karina Eiwen, et al.. (2018). Aged murine hematopoietic stem cells drive aging-associated immune remodeling. Blood. 132(6). 565–576. 64 indexed citations
8.
Guidi, Novella, Mehmet Saçma, Ludger Ständker, et al.. (2017). Osteopontin attenuates aging‐associated phenotypes of hematopoietic stem cells. The EMBO Journal. 36(7). 840–853. 117 indexed citations
9.
Eiwen, Karina, Darren J. Baker, Bettina Moehrle, et al.. (2017). The Spindle Assembly Checkpoint Is Required for Hematopoietic Progenitor Cell Engraftment. Stem Cell Reports. 9(5). 1359–1368. 5 indexed citations
10.
Schlenk, Richard F., Karina Eiwen, Jan Engelmann, et al.. (2011). Deregulated Expression of EVI1 Defines a Poor Prognostic Subset of MLL-Rearranged Acute Myeloid Leukemias. Blood. 118(21). 1441–1441.
11.
Corbacioglu, Andrea, Claudia Scholl, Richard F. Schlenk, et al.. (2010). Prognostic Impact of Minimal Residual Disease inCBFB-MYH11–Positive Acute Myeloid Leukemia. Journal of Clinical Oncology. 28(23). 3724–3729. 107 indexed citations
12.
Gröschel, Stefan, Sanne Lugthart, Richard F. Schlenk, et al.. (2010). High EVI1 Expression Predicts Outcome in Younger Adult Patients With Acute Myeloid Leukemia and Is Associated With Distinct Cytogenetic Abnormalities. Journal of Clinical Oncology. 28(12). 2101–2107. 187 indexed citations
13.
Krönke, Jan, Richard F. Schlenk, Karina Eiwen, et al.. (2009). Identification of Clinically Relevant Predictive MRD Checkpoints in AML Patients with NPM1 Mutations: A Study of the AML Study Group (AMLSG).. Blood. 114(22). 1586–1586. 2 indexed citations
14.
Lugthart, Sanne, Richard F. Schlenk, Peter J.M. Valk, et al.. (2009). High EVI1 Expression Predicts Outcome in Younger Adult (15 to 60 years) Patients with Acute Myeloid Leukemia and Is Associated with Distinctive Cytogenetic Subgroups.. Blood. 114(22). 582–582. 1 indexed citations
15.
16.
Krönke, Jan, Richard F. Schlenk, Karina Eiwen, et al.. (2008). Monitoring of Minimal Residual Disease in NPM1 Mutated Acute Myeloid Leukemia (AML): Results of the AML Study Group (AMLSG). Blood. 112(11). 699–699. 1 indexed citations
17.
Scholl, Claudia, Dimple Bansal, Konstanze Döhner, et al.. (2007). The homeobox gene CDX2 is aberrantly expressed in most cases of acute myeloid leukemia and promotes leukemogenesis. Journal of Clinical Investigation. 117(4). 1037–1048. 98 indexed citations
18.
Corbacioglu, Andrea, Stefan Fröhling, Karina Eiwen, et al.. (2007). CEBPA Germline Mutation Screening in Cytogenetically Normal Acute Myeloid Leukemia with Somatically Acquired CEBPA Mutations.. Blood. 110(11). 363–363. 3 indexed citations
19.
Scholl, Claudia, Dimple Bansal, Konstanze Döhner, et al.. (2006). Aberrant Expression of the Homeobox Gene CDX2 in Acute Myeloid Leukemia.. Blood. 108(11). 8–8. 4 indexed citations
20.
Scholl, Claudia, Richard F. Schlenk, Karina Eiwen, et al.. (2005). The prognostic value of MLL-AF9 detection in patients with t(9;11)(p22;q23)-positive acute myeloid leukemia.. PubMed. 90(12). 1626–34. 33 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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