Małgorzata Kucińska

1.9k total citations
59 papers, 1.5k citations indexed

About

Małgorzata Kucińska is a scholar working on Molecular Biology, Materials Chemistry and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Małgorzata Kucińska has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Materials Chemistry and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Małgorzata Kucińska's work include Nanoplatforms for cancer theranostics (12 papers), Photodynamic Therapy Research Studies (12 papers) and Porphyrin and Phthalocyanine Chemistry (9 papers). Małgorzata Kucińska is often cited by papers focused on Nanoplatforms for cancer theranostics (12 papers), Photodynamic Therapy Research Studies (12 papers) and Porphyrin and Phthalocyanine Chemistry (9 papers). Małgorzata Kucińska collaborates with scholars based in Poland, Austria and Germany. Małgorzata Kucińska's co-authors include Marek Murias, H. Piotrowska, Jadwiga Mielcarek, Paulina Pecyna, Tomasz Gośliński, Marcin Wierzchowski, Jaroslaw Piskorz, Wojciech Szczołko, Paulina Skupin-Mrugalska and Jolanta Długaszewska and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of Physical Chemistry C.

In The Last Decade

Małgorzata Kucińska

58 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Małgorzata Kucińska Poland 21 512 290 282 270 262 59 1.5k
Xuemei Tang China 22 659 1.3× 267 0.9× 163 0.6× 109 0.4× 107 0.4× 71 1.7k
Dejun Ding China 24 684 1.3× 68 0.2× 217 0.8× 317 1.2× 461 1.8× 37 1.7k
Cinzia Anna Ventura Italy 29 872 1.7× 61 0.2× 294 1.0× 375 1.4× 121 0.5× 82 2.7k
Hanchun Chen China 29 1.4k 2.7× 89 0.3× 145 0.5× 165 0.6× 130 0.5× 102 2.6k
Antonio Pezone Italy 15 1.2k 2.4× 31 0.1× 236 0.8× 368 1.4× 208 0.8× 30 2.3k
Yamei Yu China 27 842 1.6× 99 0.3× 96 0.3× 75 0.3× 47 0.2× 81 2.0k
Zhi Qu Australia 17 367 0.7× 180 0.6× 262 0.9× 216 0.8× 26 0.1× 28 1.2k
Ahmed M. Al‐Abd Egypt 29 1.1k 2.2× 65 0.2× 180 0.6× 528 2.0× 124 0.5× 86 3.0k
Faisal Thayyullathil United Arab Emirates 20 1.2k 2.4× 41 0.1× 81 0.3× 126 0.5× 237 0.9× 32 2.0k
Yining Xu Belgium 17 430 0.8× 104 0.4× 54 0.2× 145 0.5× 62 0.2× 31 1.2k

Countries citing papers authored by Małgorzata Kucińska

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Kucińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Kucińska

This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Kucińska. A scholar is included among the top collaborators of Małgorzata Kucińska 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 Małgorzata Kucińska. Małgorzata Kucińska 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.
Kucińska, Małgorzata, et al.. (2025). Design, synthesis and in vitro assessment of di-/tri-methoxy-aryl-substituted mono-spiro-1,2,4,5-tetraoxanes for antiplasmodial and anticancer use. European Journal of Medicinal Chemistry. 300. 118159–118159.
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Kucińska, Małgorzata, et al.. (2025). Bioactive Glass Doped with Zinc Ions as a Carrier for 6-Mercaptopurine. Journal of Inorganic and Organometallic Polymers and Materials. 35(11). 9543–9564. 1 indexed citations
4.
Kucińska, Małgorzata, Jing Tang, Natalia Lisiak, et al.. (2024). The combination therapy using tyrosine kinase receptors inhibitors and repurposed drugs to target patient-derived glioblastoma stem cells. Biomedicine & Pharmacotherapy. 176. 116892–116892. 4 indexed citations
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Kikowska, Małgorzata, Hanna Piotrowska‐Kempisty, Małgorzata Kucińska, et al.. (2023). Saponin Fractions from Eryngium planum L. Induce Apoptosis in Ovarian SKOV-3 Cancer Cells. Plants. 12(13). 2485–2485. 3 indexed citations
7.
Dams‐Kozlowska, Hanna, et al.. (2023). Unmasking the Deceptive Nature of Cancer Stem Cells: The Role of CD133 in Revealing Their Secrets. International Journal of Molecular Sciences. 24(13). 10910–10910. 16 indexed citations
8.
Kucińska, Małgorzata, et al.. (2023). Enhanced Cytotoxic Activity of PEGylated Curcumin Derivatives: Synthesis, Structure–Activity Evaluation, and Biological Activity. International Journal of Molecular Sciences. 24(2). 1467–1467. 8 indexed citations
9.
Dobosz, Bernadeta, Ryszard Krzyminiewski, Małgorzata Kucińska, et al.. (2022). Spin Probes as Scavengers of Free Radicals in Cells. Applied Sciences. 12(16). 7999–7999. 5 indexed citations
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Kucińska, Małgorzata, et al.. (2020). Multiharmonic electron paramagnetic resonance imaging as an innovative approach for in vivo studies. Free Radical Biology and Medicine. 152. 271–279. 14 indexed citations
12.
Kucińska, Małgorzata, et al.. (2020). Modeling the photodynamic effect in 2D versus 3D cell culture under normoxic and hypoxic conditions. Free Radical Biology and Medicine. 162. 309–326. 19 indexed citations
13.
Kucińska, Małgorzata, et al.. (2018). The role of oxidative stress in 63 T-induced cytotoxicity against human lung cancer and normal lung fibroblast cell lines. Investigational New Drugs. 37(5). 849–864. 5 indexed citations
14.
Młynarczyk, Dariusz T., Małgorzata Kucińska, Jolanta Długaszewska, et al.. (2018). Photophysical properties and photocytotoxicity of free and liposome-entrapped diazepinoporphyrazines on LNCaP cells under normoxic and hypoxic conditions. European Journal of Medicinal Chemistry. 150. 64–73. 23 indexed citations
15.
Kucińska, Małgorzata, et al.. (2017). Structural peculiarities and anticancer activities of two organotin compounds. Journal of Coordination Chemistry. 70(10). 1776–1789. 6 indexed citations
16.
Mikuła‐Pietrasik, Justyna, Paweł Uruski, Patrycja Sosińska, et al.. (2016). Senescent peritoneal mesothelium creates a niche for ovarian cancer metastases. Cell Death and Disease. 7(12). e2565–e2565. 44 indexed citations
17.
Kucińska, Małgorzata, Hanna Piotrowska‐Kempisty, Natalia Lisiak, et al.. (2016). Selective anticancer activity of the novel thiobenzanilide 63T against human lung adenocarcinoma cells. Toxicology in Vitro. 37. 148–161. 4 indexed citations
18.
Mikuła‐Pietrasik, Justyna, Patrycja Sosińska, Małgorzata Kucińska, et al.. (2014). Peritoneal mesothelium promotes the progression of ovarian cancer cells in vitro and in a mice xenograft model in vivo. Cancer Letters. 355(2). 310–315. 28 indexed citations
19.
Piotrowska, H., Małgorzata Kucińska, & Marek Murias. (2013). Expression of CYP1A1, CYP1B1 and MnSOD in a panel of human cancer cell lines. Molecular and Cellular Biochemistry. 383(1-2). 95–102. 41 indexed citations
20.
Kucińska, Małgorzata & Marek Murias. (2013). [Cosmetics as source of xenoestrogens exposure].. PubMed. 70(8). 647–51. 2 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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