Beata Kaza

419 total citations
10 papers, 308 citations indexed

About

Beata Kaza is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Beata Kaza has authored 10 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Beata Kaza's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune cells in cancer (3 papers) and Glioma Diagnosis and Treatment (2 papers). Beata Kaza is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune cells in cancer (3 papers) and Glioma Diagnosis and Treatment (2 papers). Beata Kaza collaborates with scholars based in Poland, Germany and United Kingdom. Beata Kaza's co-authors include Bożena Kamińska, Jakub Mieczkowski, Michał Dąbrowski, Piotr Przanowski, Arkadiusz Piotrowski, Feng Hu, Helmut Kettenmann, Jan Komorowski, Aleksandra Ellert‐Miklaszewska and Anna Ronowicz and has published in prestigious journals such as PLoS ONE, Cell Reports and eLife.

In The Last Decade

Beata Kaza

9 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beata Kaza Poland	7	139	95	68	61	42	10	308
Qi Wan China	11	114 0.8×	59 0.6×	56 0.8×	75 1.2×	50 1.2×	14	313
Changyong Tang China	11	187 1.3×	59 0.6×	33 0.5×	63 1.0×	89 2.1×	25	350
Sina K. Stumpf Germany	6	192 1.4×	104 1.1×	48 0.7×	54 0.9×	102 2.4×	6	383
Stefan A. Berghoff Germany	9	152 1.1×	128 1.3×	76 1.1×	58 1.0×	104 2.5×	13	397
Lena Spieth Germany	7	99 0.7×	73 0.8×	46 0.7×	36 0.6×	56 1.3×	9	247
Jana Van Broeckhoven Belgium	7	106 0.8×	130 1.4×	74 1.1×	73 1.2×	38 0.9×	12	314
Prech Uapinyoying United States	8	132 0.9×	46 0.5×	35 0.5×	39 0.6×	40 1.0×	12	248
Bilal El Waly France	9	163 1.2×	70 0.7×	26 0.4×	58 1.0×	109 2.6×	16	355
Beatriz Valle‐Argos United Kingdom	11	151 1.1×	127 1.3×	115 1.7×	70 1.1×	73 1.7×	20	434
Elena Panayiotou Cyprus	12	182 1.3×	45 0.5×	32 0.5×	49 0.8×	95 2.3×	23	318

Countries citing papers authored by Beata Kaza

Since Specialization

Citations

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

Fields of papers citing papers by Beata Kaza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Kaza

This figure shows the co-authorship network connecting the top 25 collaborators of Beata Kaza. A scholar is included among the top collaborators of Beata Kaza 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 Beata Kaza. Beata Kaza 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

Kaza, Beata, Salwador Cyranowski, Aleksandra Ellert‐Miklaszewska, et al.. (2025). Hypoxic stress dysregulates functions of glioma-associated myeloid cells through epigenomic and transcriptional programs. Cell Reports. 44(9). 116222–116222.

Leszczyńska, Katarzyna B., Cynthia Horth, Kamil Wojnicki, et al.. (2024). H2A.Z histone variants facilitate HDACi-dependent removal of H3.3K27M mutant protein in pediatric high-grade glioma cells. Cell Reports. 43(2). 113707–113707. 5 indexed citations

Ciechomska, Iwona A., Kamil Wojnicki, Bartosz Wojtaś, et al.. (2023). Exploring Novel Therapeutic Opportunities for Glioblastoma Using Patient-Derived Cell Cultures. Cancers. 15(5). 1562–1562. 12 indexed citations

Maleszewska, Marta, et al.. (2020). Sequential changes in histone modifications shape transcriptional responses underlying microglia polarization by glioma. Glia. 69(1). 109–123. 14 indexed citations

Przanowski, Piotr, Aleksandra Cabaj, Konrad J. Dębski, et al.. (2019). Open chromatin landscape of rat microglia upon proinvasive or inflammatory polarization. Glia. 67(12). 2312–2328. 6 indexed citations

Dziedzic, Barbara, et al.. (2018). DHA Upregulates FADS2 Expression in Primary Cortical Astrocytes Exposed to Vitamin A. Physiological Research. 67(4). 663–668. 9 indexed citations

Mieczkowski, Jakub, Chao Zhao, Beata Kaza, et al.. (2018). Injury-induced perivascular niche supports alternative differentiation of adult rodent CNS progenitor cells. eLife. 7. 27 indexed citations

Konopka, Anna, André Zeug, Beata Kaza, et al.. (2016). Cleavage of Hyaluronan and CD44 Adhesion Molecule Regulate Astrocyte Morphology via Rac1 Signalling. PLoS ONE. 11(5). e0155053–e0155053. 53 indexed citations

Kaliszewska, Aleksandra, et al.. (2014). Ttyh1 Protein is Expressed in Glia In Vitro and Shows Elevated Expression in Activated Astrocytes Following Status Epilepticus. Neurochemical Research. 39(12). 2516–2526. 23 indexed citations

10.

Przanowski, Piotr, Michał Dąbrowski, Aleksandra Ellert‐Miklaszewska, et al.. (2013). The signal transducers Stat1 and Stat3 and their novel target Jmjd3 drive the expression of inflammatory genes in microglia. Journal of Molecular Medicine. 92(3). 239–254. 159 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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