Beata Rybicka

594 total citations
17 papers, 397 citations indexed

About

Beata Rybicka is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Beata Rybicka has authored 17 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Beata Rybicka's work include MicroRNA in disease regulation (7 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (4 papers). Beata Rybicka is often cited by papers focused on MicroRNA in disease regulation (7 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (4 papers). Beata Rybicka collaborates with scholars based in Poland, Germany and Bulgaria. Beata Rybicka's co-authors include Agnieszka Piekiełko‐Witkowska, Joanna Bogusławska, Piotr Popławski, Hanna Kędzierska, Zbigniew Tański, Marta Koblowska, Mirosław Ślusarczyk, Alisdair R. Fernie, Alicja Nauman and Roksana Iwanicka‐Nowicka and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and The Journal of Urology.

In The Last Decade

Beata Rybicka

17 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beata Rybicka Poland 12 286 170 70 59 35 17 397
Hanna Kędzierska Poland 10 386 1.3× 207 1.2× 70 1.0× 58 1.0× 23 0.7× 13 492
Piotr Popławski Poland 14 345 1.2× 193 1.1× 95 1.4× 73 1.2× 80 2.3× 28 523
Zbigniew Tański Poland 12 320 1.1× 156 0.9× 79 1.1× 70 1.2× 118 3.4× 14 482
Elyse L. Walk United States 8 192 0.7× 101 0.6× 110 1.6× 64 1.1× 19 0.5× 10 338
Xiuju Sun China 14 288 1.0× 157 0.9× 98 1.4× 56 0.9× 12 0.3× 24 398
Giovanni Antico United States 9 147 0.5× 72 0.4× 40 0.6× 85 1.4× 21 0.6× 12 278
Joseph Washburn United States 8 331 1.2× 155 0.9× 42 0.6× 64 1.1× 14 0.4× 11 478
Xiaomei Sui China 11 330 1.2× 112 0.7× 41 0.6× 110 1.9× 27 0.8× 21 449
Daniel J. Purcell United States 9 342 1.2× 72 0.4× 54 0.8× 129 2.2× 15 0.4× 9 488
PengXin Zhang China 9 261 0.9× 55 0.3× 54 0.8× 97 1.6× 40 1.1× 31 386

Countries citing papers authored by Beata Rybicka

Since Specialization
Citations

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

Fields of papers citing papers by Beata Rybicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Rybicka

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

All Works

17 of 17 papers shown
1.
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
2.
Bogusławska, Joanna, et al.. (2025). miR395e from Manihot esculenta Decreases Expression of PD-L1 in Renal Cancer: A Preliminary Study. Genes. 16(3). 293–293. 1 indexed citations
3.
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
4.
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
5.
Rybicka, Beata, et al.. (2022). TGF‑β1 affects the renal cancer miRNome and regulates tumor cells proliferation. International Journal of Molecular Medicine. 49(4). 12 indexed citations
6.
Bogusławska, Joanna, Piotr Popławski, Saleh Alseekh, et al.. (2019). MicroRNA-Mediated Metabolic Reprograming in Renal Cancer. Cancers. 11(12). 1825–1825. 28 indexed citations
7.
Kędzierska, Hanna, et al.. (2018). microRNA-mediated regulation of splicing factors SRSF1, SRSF2 and hnRNP A1 in context of their alternatively spliced 3′UTRs. Experimental Cell Research. 363(2). 208–217. 26 indexed citations
8.
Popławski, Piotr, Jacek R. Wiśniewski, Eddy Rijntjes, et al.. (2017). Restoration of type 1 iodothyronine deiodinase expression in renal cancer cells downregulates oncoproteins and affects key metabolic pathways as well as anti-oxidative system. PLoS ONE. 12(12). e0190179–e0190179. 18 indexed citations
9.
Bogusławska, Joanna, Piotr Popławski, Hanna Kędzierska, et al.. (2017). TGF-β1 targets a microRNA network that regulates cellular adhesion and migration in renal cancer. Cancer Letters. 412. 155–169. 44 indexed citations
10.
Popławski, Piotr, Takayuki Tohge, Joanna Bogusławska, et al.. (2016). Integrated transcriptomic and metabolomic analysis shows that disturbances in metabolism of tumor cells contribute to poor survival of RCC patients. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(3). 744–752. 20 indexed citations
11.
Bogusławska, Joanna, et al.. (2016). microRNAs target SRSF7 splicing factor to modulate the expression of osteopontin splice variants in renal cancer cells. Gene. 595(2). 142–149. 39 indexed citations
12.
Popławski, Piotr, Beata Rybicka, Joanna Bogusławska, et al.. (2016). Induction of type 1 iodothyronine deiodinase expression inhibits proliferation and migration of renal cancer cells. Molecular and Cellular Endocrinology. 442. 58–67. 18 indexed citations
13.
Kędzierska, Hanna, Piotr Popławski, Grażyna Hoser, et al.. (2016). Decreased Expression of SRSF2 Splicing Factor Inhibits Apoptotic Pathways in Renal Cancer. International Journal of Molecular Sciences. 17(10). 1598–1598. 37 indexed citations
14.
Bogusławska, Joanna, Hanna Kędzierska, Piotr Popławski, et al.. (2015). Expression of Genes Involved in Cellular Adhesion and Extracellular Matrix Remodeling Correlates with Poor Survival of Patients with Renal Cancer. The Journal of Urology. 195(6). 1892–1902. 98 indexed citations
15.
Wójcicka, Anna, Agnieszka Piekiełko‐Witkowska, Hanna Kędzierska, et al.. (2014). Epigenetic Regulation of Thyroid Hormone Receptor Beta in Renal Cancer. PLoS ONE. 9(5). e97624–e97624. 21 indexed citations
16.
Piekiełko‐Witkowska, Agnieszka, Hanna Kędzierska, Piotr Popławski, et al.. (2013). Alternative splicing of iodothyronine deiodinases in pituitary adenomas. Regulation by oncoprotein SF2/ASF. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(6). 763–772. 4 indexed citations
17.
Ślusarczyk, Mirosław & Beata Rybicka. (2010). Role of temperature in diapause response to fish kairomones in crustacean Daphnia. Journal of Insect Physiology. 57(5). 676–680. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hanna Kędzierska Breakdown of academic impact, for papers by Piotr Popławski Breakdown of academic impact, for papers by Zbigniew Tański Breakdown of academic impact, for papers by Elyse L. Walk Breakdown of academic impact, for papers by Xiuju Sun Breakdown of academic impact, for papers by Giovanni Antico Breakdown of academic impact, for papers by Joseph Washburn Breakdown of academic impact, for papers by Xiaomei Sui Breakdown of academic impact, for papers by Daniel J. Purcell Breakdown of academic impact, for papers by PengXin Zhang
Rankless by CCL
2026