Anna Gajos-Michniewicz

826 total citations
18 papers, 650 citations indexed

About

Anna Gajos-Michniewicz is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Anna Gajos-Michniewicz has authored 18 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Anna Gajos-Michniewicz's work include Melanoma and MAPK Pathways (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and RNA Interference and Gene Delivery (3 papers). Anna Gajos-Michniewicz is often cited by papers focused on Melanoma and MAPK Pathways (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and RNA Interference and Gene Delivery (3 papers). Anna Gajos-Michniewicz collaborates with scholars based in Poland, United States and France. Anna Gajos-Michniewicz's co-authors include Małgorzata Czyż, Markus Duechler, Mariusz L. Hartman, Małgorzata Sztiller-Sikorska, Tomasz Ochędalski, Agnieszka Wanda Piastowska‐Ciesielska, Salem Chouaı̈b, Elżbieta Pawłowska, Muhammad Zaeem Noman and Tomasz Śliwiński and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Cancer Letters.

In The Last Decade

Anna Gajos-Michniewicz

18 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Gajos-Michniewicz Poland 14 504 183 168 100 66 18 650
Dinoop Ravindran Menon United States 11 431 0.9× 131 0.7× 239 1.4× 117 1.2× 52 0.8× 19 631
Monish Ram Makena United States 13 562 1.1× 196 1.1× 295 1.8× 86 0.9× 47 0.7× 27 839
Katayoun I. Amiri United States 11 490 1.0× 183 1.0× 318 1.9× 156 1.6× 89 1.3× 20 746
Arpita Datta Singapore 11 423 0.8× 173 0.9× 175 1.0× 121 1.2× 137 2.1× 11 705
Peronne Joseph United States 11 500 1.0× 331 1.8× 151 0.9× 59 0.6× 37 0.6× 20 713
Yurong Zhang China 11 413 0.8× 153 0.8× 199 1.2× 135 1.4× 69 1.0× 32 656
Alessandro Colapietro Italy 17 370 0.7× 116 0.6× 262 1.6× 85 0.8× 49 0.7× 34 728
Xu Guang Yan Australia 15 424 0.8× 156 0.9× 147 0.9× 109 1.1× 82 1.2× 22 590
Madhavi Bathina United States 8 597 1.2× 102 0.6× 183 1.1× 107 1.1× 70 1.1× 10 771
Xinhui Wang China 12 330 0.7× 95 0.5× 150 0.9× 97 1.0× 53 0.8× 30 516

Countries citing papers authored by Anna Gajos-Michniewicz

Since Specialization
Citations

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

Fields of papers citing papers by Anna Gajos-Michniewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Gajos-Michniewicz. 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 Anna Gajos-Michniewicz. The network helps show where Anna Gajos-Michniewicz may publish in the future.

Co-authorship network of co-authors of Anna Gajos-Michniewicz

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

All Works

18 of 18 papers shown
1.
Gajos-Michniewicz, Anna & Małgorzata Czyż. (2024). Therapeutic Potential of Natural Compounds to Modulate WNT/β-Catenin Signaling in Cancer: Current State of Art and Challenges. International Journal of Molecular Sciences. 25(23). 12804–12804. 4 indexed citations
2.
Gajos-Michniewicz, Anna, Grażyna Hoser, Przemysław Sitarek, et al.. (2023). Histone Deacetylases (HDAC) Inhibitor—Valproic Acid Sensitizes Human Melanoma Cells to Dacarbazine and PARP Inhibitor. Genes. 14(6). 1295–1295. 9 indexed citations
3.
Gajos-Michniewicz, Anna & Małgorzata Czyż. (2023). WNT/β-catenin signaling in hepatocellular carcinoma: The aberrant activation, pathogenic roles, and therapeutic opportunities. Genes & Diseases. 11(2). 727–746. 46 indexed citations
4.
Bojarska, Joanna, Martin Breza, Milan Remko, et al.. (2022). Structural and Biofunctional Insights into the Cyclo(Pro-Pro-Phe-Phe-) Scaffold from Experimental and In Silico Studies: Melanoma and Beyond. International Journal of Molecular Sciences. 23(13). 7173–7173. 13 indexed citations
5.
Gajos-Michniewicz, Anna & Małgorzata Czyż. (2020). WNT Signaling in Melanoma. International Journal of Molecular Sciences. 21(14). 4852–4852. 162 indexed citations
6.
Hartman, Mariusz L., et al.. (2020). BH3 mimetics potentiate pro-apoptotic activity of encorafenib in BRAFV600E melanoma cells. Cancer Letters. 499. 122–136. 16 indexed citations
7.
Hartman, Mariusz L., Małgorzata Sztiller-Sikorska, Anna Gajos-Michniewicz, & Małgorzata Czyż. (2020). Dissecting Mechanisms of Melanoma Resistance to BRAF and MEK Inhibitors Revealed Genetic and Non-Genetic Patient- and Drug-Specific Alterations and Remarkable Phenotypic Plasticity. Cells. 9(1). 142–142. 43 indexed citations
8.
Gajos-Michniewicz, Anna & Małgorzata Czyż. (2019). Role of miRNAs in Melanoma Metastasis. Cancers. 11(3). 326–326. 72 indexed citations
9.
Czyż, Małgorzata, et al.. (2019). Plasticity of Drug-Naïve and Vemurafenib- or Trametinib-Resistant Melanoma Cells in Execution of Differentiation/Pigmentation Program. Journal of Oncology. 2019. 1–15. 29 indexed citations
10.
Gajos-Michniewicz, Anna & Małgorzata Czyż. (2016). Modulation of WNT/β-catenin pathway in melanoma by biologically active components derived from plants. Fitoterapia. 109. 283–292. 23 indexed citations
11.
Czyż, Małgorzata, Monika M. Toma, Anna Gajos-Michniewicz, et al.. (2016). PARP1 inhibitor olaparib (Lynparza) exerts synthetic lethal effect against ligase 4-deficient melanomas. Oncotarget. 7(46). 75551–75560. 26 indexed citations
12.
Gajos-Michniewicz, Anna, et al.. (2016). Pentoxifylline Inhibits WNT Signalling in β-Cateninhigh Patient-Derived Melanoma Cell Populations. PLoS ONE. 11(6). e0158275–e0158275. 15 indexed citations
13.
Hartman, Mariusz L., et al.. (2015). MCL-1, BCL-XL and MITF Are Diversely Employed in Adaptive Response of Melanoma Cells to Changes in Microenvironment. PLoS ONE. 10(6). e0128796–e0128796. 11 indexed citations
14.
15.
Gajos-Michniewicz, Anna, Markus Duechler, & Małgorzata Czyż. (2014). MiRNA in melanoma-derived exosomes. Cancer Letters. 347(1). 29–37. 93 indexed citations
16.
Piastowska‐Ciesielska, Agnieszka Wanda, et al.. (2013). Angiotensin modulates human mammary epithelial cell motility. Journal of the Renin-Angiotensin-Aldosterone System. 15(4). 419–429. 13 indexed citations
17.
Gajos-Michniewicz, Anna, Elżbieta Pawłowska, Tomasz Ochędalski, & Agnieszka Wanda Piastowska‐Ciesielska. (2012). The influence of follistatin on mechanical properties of bone tissue in growing mice with overexpression of follistatin. Journal of Bone and Mineral Metabolism. 30(4). 426–433. 20 indexed citations
18.
Gajos-Michniewicz, Anna, et al.. (2010). Follistatin as a potent regulator of bone metabolism. Biomarkers. 15(7). 563–574. 24 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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