Marta Koblowska

1.5k total citations
31 papers, 947 citations indexed

About

Marta Koblowska is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Marta Koblowska has authored 31 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Marta Koblowska's work include Muscle Physiology and Disorders (4 papers), MicroRNA in disease regulation (4 papers) and Mesenchymal stem cell research (4 papers). Marta Koblowska is often cited by papers focused on Muscle Physiology and Disorders (4 papers), MicroRNA in disease regulation (4 papers) and Mesenchymal stem cell research (4 papers). Marta Koblowska collaborates with scholars based in Poland, Germany and Italy. Marta Koblowska's co-authors include Roksana Iwanicka‐Nowicka, Anna Fogtman, Maciej Lirski, Seweryn Mroczek, Piotr Brągoszewski, Silke Oeljeklaus, Elżbieta Januszewicz, Bettina Warscheid, Lidia Wróbel and Piotr Chrościcki and has published in prestigious journals such as Nature, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Marta Koblowska

31 papers receiving 938 citations

Peers

Marta Koblowska
Madhurima Saxena United States
Elizabeth A. Scheef United States
Méthode Bacanamwo United States
R. White United States
Marta Koblowska
Citations per year, relative to Marta Koblowska Marta Koblowska (= 1×) peers Frédérique Sabourdy

Countries citing papers authored by Marta Koblowska

Since Specialization
Citations

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

Fields of papers citing papers by Marta Koblowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Koblowska

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Koblowska. A scholar is included among the top collaborators of Marta Koblowska 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 Marta Koblowska. Marta Koblowska 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.
Brodaczewska, Klaudia, Roksana Iwanicka‐Nowicka, Marta Koblowska, et al.. (2025). Hypoxia alters the response of ovarian cancer cells to the mitomycin C drug. Frontiers in Cell and Developmental Biology. 13. 1575134–1575134. 1 indexed citations
2.
Bogusławska, Joanna, Piotr Popławski, Anna Burdzińska, et al.. (2025). Non-coding RNAs secreted by renal cancer include piR_004153 that promotes migration of mesenchymal stromal cells. Cell Communication and Signaling. 23(1). 3–3. 5 indexed citations
3.
Koblowska, Marta, Roksana Iwanicka‐Nowicka, Grażyna Mosieniak, et al.. (2025). Senescence-associated alterations in histone H3 modifications, HP1 alpha levels and distribution, and in the transcriptome of vascular smooth muscle cells in different types of senescence. Cell Communication and Signaling. 23(1). 321–321. 1 indexed citations
4.
Popławski, Piotr, Anna Burdzińska, Joanna Bogusławska, et al.. (2023). Renal cancer secretome induces migration of mesenchymal stromal cells. Stem Cell Research & Therapy. 14(1). 200–200. 4 indexed citations
5.
Grabowska, Iwona, Władysława Stremińska, Katarzyna Jańczyk‐Ilach, et al.. (2023). SDF-1 and NOTCH signaling in myogenic cell differentiation: the role of miRNA10a, 425, and 5100. Stem Cell Research & Therapy. 14(1). 204–204. 3 indexed citations
6.
Popławski, Piotr, Saleh Alseekh, Urszula Jankowska, et al.. (2023). Coordinated reprogramming of renal cancer transcriptome, metabolome and secretome associates with immune tumor infiltration. Cancer Cell International. 23(1). 2–2. 11 indexed citations
7.
Sosnowska, Katarzyna, Piotr Pupel, Maria Bucholc, et al.. (2021). Bromodomain-containing subunits BRD1, BRD2, and BRD13 are required for proper functioning of SWI/SNF complexes in Arabidopsis. Plant Communications. 2(4). 100174–100174. 21 indexed citations
8.
Wojewódzka, Maria, Anna Fogtman, Roksana Iwanicka‐Nowicka, et al.. (2021). Increased DNA repair capacity augments resistance of glioblastoma cells to photodynamic therapy. DNA repair. 104. 103136–103136. 21 indexed citations
9.
Ługowska, Agnieszka, Roksana Iwanicka‐Nowicka, Anna Fogtman, et al.. (2019). Gene expression profile in patients with Gaucher disease indicates activation of inflammatory processes. Scientific Reports. 9(1). 6060–6060. 20 indexed citations
10.
Bogusławska, Joanna, Piotr Popławski, Saleh Alseekh, et al.. (2019). MicroRNA-Mediated Metabolic Reprograming in Renal Cancer. Cancers. 11(12). 1825–1825. 28 indexed citations
11.
Burdzińska, Anna, Marta Koblowska, Kamila Gala, et al.. (2019). The Influence of Cell Source and Donor Age on the Tenogenic Potential and Chemokine Secretion of Human Mesenchymal Stromal Cells. Stem Cells International. 2019. 1–14. 18 indexed citations
13.
Kisiel, Bartłomiej, Konrad Szymañski, Anna Fogtman, et al.. (2017). The association between 38 previously reported polymorphisms and psoriasis in a Polish population: High predicative accuracy of a genetic risk score combining 16 loci. PLoS ONE. 12(6). e0179348–e0179348. 21 indexed citations
14.
Kotliński, Maciej, Kinga Rutowicz, Łukasz Kniżewski, et al.. (2016). Histone H1 Variants in Arabidopsis Are Subject to Numerous Post-Translational Modifications, Both Conserved and Previously Unknown in Histones, Suggesting Complex Functions of H1 in Plants. PLoS ONE. 11(1). e0147908–e0147908. 26 indexed citations
15.
Archacki, Rafał, Ruslan Yatusevich, Daniel Buszewicz, et al.. (2016). Arabidopsis SWI/SNF chromatin remodeling complex binds both promoters and terminators to regulate gene expression. Nucleic Acids Research. 45(6). gkw1273–gkw1273. 59 indexed citations
16.
Grabowska, Iwona, Karolina Archacka, Władysława Stremińska, et al.. (2015). Myogenic Differentiation of Mouse Embryonic Stem Cells That Lack a Functional Pax7 Gene. Stem Cells and Development. 25(4). 285–300. 8 indexed citations
17.
Wróbel, Lidia, Ulrike Topf, Piotr Brągoszewski, et al.. (2015). Mistargeted mitochondrial proteins activate a proteostatic response in the cytosol. Nature. 524(7566). 485–488. 327 indexed citations
18.
Bartosik, Aneta Agnieszka, et al.. (2014). Transcriptional Profiling of ParA and ParB Mutants in Actively Dividing Cells of an Opportunistic Human Pathogen Pseudomonas aeruginosa. PLoS ONE. 9(1). e87276–e87276. 29 indexed citations
19.
Orłowska‐Baranowska, Ewa, Rafał Baranowski, Marta Koblowska, et al.. (2014). Association of the Common Genetic Polymorphisms and Haplotypes of the Chymase Gene with Left Ventricular Mass in Male Patients with Symptomatic Aortic Stenosis. PLoS ONE. 9(5). e96306–e96306. 8 indexed citations
20.
Archacki, Rafał, Daniel Buszewicz, Tomasz J. Sarnowski, et al.. (2013). BRAHMA ATPase of the SWI/SNF Chromatin Remodeling Complex Acts as a Positive Regulator of Gibberellin-Mediated Responses in Arabidopsis. PLoS ONE. 8(3). e58588–e58588. 63 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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