Katarzyna Miękus

3.5k total citations · 2 hit papers
37 papers, 2.7k citations indexed

About

Katarzyna Miękus is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Katarzyna Miękus has authored 37 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Katarzyna Miękus's work include Liver physiology and pathology (8 papers), Cancer Cells and Metastasis (6 papers) and Chemokine receptors and signaling (5 papers). Katarzyna Miękus is often cited by papers focused on Liver physiology and pathology (8 papers), Cancer Cells and Metastasis (6 papers) and Chemokine receptors and signaling (5 papers). Katarzyna Miękus collaborates with scholars based in Poland, United States and Canada. Katarzyna Miękus's co-authors include Mariusz Z. Ratajczak, Janina Ratajczak, Ryan Reca, Magda Kucia, Petr Dvořák, Jens Wanzeck, Anna Janowska‐Wieczorek, Wojciech Wojakowski, Marcin Majka and Jolanta Jura and has published in prestigious journals such as Cancer Research, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Katarzyna Miękus

35 papers receiving 2.7k citations

Hit Papers

Embryonic stem cell-deriv... 2005 2026 2012 2019 2006 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katarzyna Miękus Poland 19 1.8k 999 609 443 350 37 2.7k
Bernhard Hemmerlein Germany 29 1.7k 0.9× 635 0.6× 629 1.0× 348 0.8× 273 0.8× 90 3.1k
Nabendu Pore United States 17 1.4k 0.8× 1.1k 1.1× 614 1.0× 244 0.6× 181 0.5× 26 2.3k
Delphine Garnier Canada 26 1.3k 0.7× 828 0.8× 329 0.5× 218 0.5× 273 0.8× 44 2.1k
Stela Gengrinovitch Israel 6 2.5k 1.3× 826 0.8× 698 1.1× 293 0.7× 169 0.5× 11 3.5k
Antonio Sorrentino Italy 21 1.7k 0.9× 1.3k 1.3× 361 0.6× 327 0.7× 315 0.9× 36 2.4k
Karlheinz Holzmann Germany 32 1.6k 0.9× 723 0.7× 800 1.3× 575 1.3× 406 1.2× 83 3.4k
Tushar D. Bhagat United States 24 1.5k 0.8× 689 0.7× 452 0.7× 438 1.0× 210 0.6× 55 2.4k
Sébastien P. Tabruyn Belgium 26 1.3k 0.7× 767 0.8× 587 1.0× 276 0.6× 103 0.3× 36 2.4k
Hsei–Wei Wang Taiwan 25 1.2k 0.7× 721 0.7× 977 1.6× 315 0.7× 364 1.0× 43 2.6k
Jens Gille Germany 26 1.4k 0.7× 368 0.4× 828 1.4× 405 0.9× 430 1.2× 58 2.7k

Countries citing papers authored by Katarzyna Miękus

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Miękus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarzyna Miękus

This figure shows the co-authorship network connecting the top 25 collaborators of Katarzyna Miękus. A scholar is included among the top collaborators of Katarzyna Miękus 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 Katarzyna Miękus. Katarzyna Miękus 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.
Major, Piotr, Piotr Małczak, Dorota Radkowiak, et al.. (2023). Hepatic MCPIP1 protein levels are reduced in NAFLD patients and are predominantly expressed in cholangiocytes and liver endothelium. Hepatology Communications. 7(3). e0008–e0008. 3 indexed citations
2.
Jura, Jolanta, et al.. (2022). Resistance to tyrosine kinase inhibitors promotes renal cancer progression through MCPIP1 tumor-suppressor downregulation and c-Met activation. Cell Death and Disease. 13(9). 814–814. 23 indexed citations
3.
Ryś, Janusz, et al.. (2022). MCPIP1 regulates focal adhesion kinase and Rho GTPase-dependent migration in clear cell renal cell carcinoma. European Journal of Pharmacology. 922. 174804–174804. 3 indexed citations
5.
Kotlinowski, Jerzy, et al.. (2021). Fatty Acids and a High-Fat Diet Induce Epithelial–Mesenchymal Transition by Activating TGFβ and β-Catenin in Liver Cells. International Journal of Molecular Sciences. 22(3). 1272–1272. 15 indexed citations
6.
Miękus, Katarzyna, et al.. (2020). New therapeutic strategies in nonalcoholic fatty liver disease: a focus on promising drugs for nonalcoholic steatohepatitis. Pharmacological Reports. 72(1). 1–12. 68 indexed citations
7.
Kotlinowski, Jerzy, et al.. (2019). C-Met as a Key Factor Responsible for Sustaining Undifferentiated Phenotype and Therapy Resistance in Renal Carcinomas. Cells. 8(3). 272–272. 29 indexed citations
8.
Lichawska-Cieślar, Agata, Maria Kulecka, Agnieszka Paziewska, et al.. (2018). RNA sequencing reveals widespread transcriptome changes in a renal carcinoma cell line. Oncotarget. 9(9). 8597–8613. 19 indexed citations
9.
Ryś, Janusz, et al.. (2017). MCPIP1 Downregulation in Clear Cell Renal Cell Carcinoma Promotes Vascularization and Metastatic Progression. Cancer Research. 77(18). 4905–4920. 67 indexed citations
10.
Lipert, Barbara, Katarzyna Miękus, Janusz Jaszczyński, et al.. (2017). MCPIP1 contributes to clear cell renal cell carcinomas development. Angiogenesis. 20(3). 325–340. 56 indexed citations
11.
12.
Miękus, Katarzyna, et al.. (2013). The decreased metastatic potential of rhabdomyosarcoma cells obtained through MET receptor downregulation and the induction of differentiation. Cell Death and Disease. 4(1). e459–e459. 28 indexed citations
13.
Pyrzyńska, Beata, Magdalena Banach‐Orlowska, Marta Teperek, et al.. (2012). Multifunctional protein APPL2 contributes to survival of human glioma cells. Molecular Oncology. 7(1). 67–84. 14 indexed citations
14.
Miękus, Katarzyna, Jacek Kijowski, Małgorzata Sekuła, & Marcin Majka. (2012). 17AEP-GA, an HSP90 antagonist, is a potent inhibitor of glioblastoma cell proliferation, survival, migration and invasion. Oncology Reports. 28(5). 1903–1909. 11 indexed citations
15.
Bobis‐Wozowicz, Sylwia, Katarzyna Miękus, Ewa Wybieralska, et al.. (2011). Genetically modified adipose tissue−derived mesenchymal stem cells overexpressing CXCR4 display increased motility, invasiveness, and homing to bone marrow of NOD/SCID mice. Experimental Hematology. 39(6). 686–696.e4. 79 indexed citations
16.
Miękus, Katarzyna, et al.. (2010). Inhibition of rhabdomyosarcoma's metastatic behavior through downregulation of MET receptor signaling.. Folia Histochemica et Cytobiologica. 47(3). 485–9. 19 indexed citations
17.
Miękus, Katarzyna & Zbigniew Madeja. (2007). Genistein inhibits the contact-stimulated migration of prostate cancer cells. Cellular & Molecular Biology Letters. 12(3). 348–61. 30 indexed citations
18.
Kucia, Magda, Ryan Reca, Katarzyna Miękus, et al.. (2005). Trafficking of Normal Stem Cells and Metastasis of Cancer Stem Cells Involve Similar Mechanisms: Pivotal Role of the SDF‐1–CXCR4 Axis. Stem Cells. 23(7). 879–894. 617 indexed citations breakdown →
19.
20.
Madeja, Zbigniew, Katarzyna Miękus, Jolanta Sroka, M.B.A. Djamgoz, & W Korohoda. (2001). Homotypic cell–cell contacts stimulate the motile activity of rat prostate cancer cells. British Journal of Urology. 88(7). 776–786. 11 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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