Kira Behrens

671 total citations
10 papers, 300 citations indexed

About

Kira Behrens is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Kira Behrens has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Kira Behrens's work include Platelet Disorders and Treatments (5 papers), Acute Myeloid Leukemia Research (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Kira Behrens is often cited by papers focused on Platelet Disorders and Treatments (5 papers), Acute Myeloid Leukemia Research (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Kira Behrens collaborates with scholars based in Australia, Germany and Sweden. Kira Behrens's co-authors include Warren S. Alexander, Carol Stocking, Ursula Müller, Hubert Serve, Malik Alawi, Daniela Indenbirken, Nilgün Solak Tekin, Frank Buchholz, Stefanie Herkt and Thomas Oellerich and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Kira Behrens

9 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kira Behrens Australia	7	166	161	50	42	36	10	300
Masaki Toshima Japan	7	155 0.9×	143 0.9×	64 1.3×	25 0.6×	54 1.5×	16	329
Mutlu Kartal‐Kaess Germany	9	146 0.9×	161 1.0×	44 0.9×	20 0.5×	61 1.7×	20	312
Carlo Dufour Italy	4	108 0.7×	215 1.3×	59 1.2×	100 2.4×	87 2.4×	8	378
Teresa M. Brophy Ireland	13	95 0.6×	245 1.5×	59 1.2×	120 2.9×	15 0.4×	15	392
Daigo Akahane Japan	10	85 0.5×	139 0.9×	53 1.1×	26 0.6×	63 1.8×	46	277
Alexander Platz Germany	7	121 0.7×	156 1.0×	69 1.4×	116 2.8×	79 2.2×	9	357
Mark Velangi United Kingdom	8	84 0.5×	160 1.0×	69 1.4×	14 0.3×	40 1.1×	17	251
Stephan Wurzer Germany	3	103 0.6×	235 1.5×	64 1.3×	165 3.9×	22 0.6×	6	329
Gaku Oshikawa Japan	10	152 0.9×	169 1.0×	79 1.6×	26 0.6×	82 2.3×	29	326
Klaus Rehe Germany	7	61 0.4×	95 0.6×	41 0.8×	34 0.8×	45 1.3×	11	239

Countries citing papers authored by Kira Behrens

Since Specialization

Citations

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

Fields of papers citing papers by Kira Behrens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kira Behrens

This figure shows the co-authorship network connecting the top 25 collaborators of Kira Behrens. A scholar is included among the top collaborators of Kira Behrens 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 Kira Behrens. Kira Behrens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Kauppi, Maria, Craig D. Hyland, Elizabeth M. Viney, et al.. (2025). Cullin-5 controls the number of megakaryocyte-committed stem cells to prevent thrombocytosis in mice. Blood. 145(10). 1034–1046. 1 indexed citations

2.

Behrens, Kira, Maria Kauppi, Elizabeth M. Viney, et al.. (2024). Differential in vivo roles of Mpl cytoplasmic tyrosine residues in murine hematopoiesis and myeloproliferative disease. Leukemia. 38(6). 1342–1352.

3.

Hardy, Joshua M., Josephine Iaria, Kira Behrens, et al.. (2024). Cryo-EM structure of the extracellular domain of murine Thrombopoietin Receptor in complex with Thrombopoietin. Nature Communications. 15(1). 1135–1135. 3 indexed citations

4.

Behrens, Kira, Natalie Brajanovski, Zhen Xu, et al.. (2024). ERG and c-MYC regulate a critical gene network in BCR::ABL1-driven B cell acute lymphoblastic leukemia. Science Advances. 10(10). eadj8803–eadj8803. 6 indexed citations

5.

Behrens, Kira & Warren S. Alexander. (2018). Cytokine control of megakaryopoiesis. Growth Factors. 36(3-4). 89–103. 63 indexed citations

6.

Behrens, Kira, Nilgün Solak Tekin, Daniela Indenbirken, et al.. (2017). RUNX1 cooperates with FLT3-ITD to induce leukemia. The Journal of Experimental Medicine. 214(3). 737–752. 36 indexed citations

7.

Behrens, Kira, Ioanna Triviai, Maike Schwieger, et al.. (2016). Runx1 downregulates stem cell and megakaryocytic transcription programs that support niche interactions. Blood. 127(26). 3369–3381. 29 indexed citations

8.

Kuvardina, Olga N., Julia Herglotz, Stephan Kolodziej, et al.. (2015). RUNX1 represses the erythroid gene expression program during megakaryocytic differentiation. Blood. 125(23). 3570–3579. 82 indexed citations

9.

Niebuhr, Birte, Meike Fischer, Kira Behrens, et al.. (2013). Runx1 is essential at two stages of early murine B-cell development. Blood. 122(3). 413–423. 41 indexed citations

10.

Roß, Katharina, Maciej Paszkowski‐Rogacz, Alexander W. Bird, et al.. (2012). Polycomb group ring finger 1 cooperates with Runx1 in regulating differentiation and self-renewal of hematopoietic cells. Blood. 119(18). 4152–4161. 39 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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