Agata Rybicka

447 total citations · 1 hit paper
10 papers, 326 citations indexed

About

Agata Rybicka is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Agata Rybicka has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Agata Rybicka's work include Cancer Cells and Metastasis (6 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Phagocytosis and Immune Regulation (3 papers). Agata Rybicka is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Phagocytosis and Immune Regulation (3 papers). Agata Rybicka collaborates with scholars based in Poland, Norway and France. Agata Rybicka's co-authors include Nils Halberg, Vi Khanh Truong, Daniel Lai, Ivan Cole, Hong Yin, Adam Truskewycz, Andrew S. Ball, Magdalena Król, Joanna Mucha and Eva Hellmén and has published in prestigious journals such as Cancer Research, Small and BMC Cancer.

In The Last Decade

Agata Rybicka

10 papers receiving 323 citations

Hit Papers

Carbon Dot Therapeutic Platforms: Administration, Distrib... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agata Rybicka Poland 8 145 94 79 73 65 10 326
Barani Kumar Rajendran United States 12 110 0.8× 129 1.4× 103 1.3× 63 0.9× 15 0.2× 27 382
Thilo Papp Germany 11 40 0.3× 175 1.9× 28 0.4× 160 2.2× 94 1.4× 18 370
Nikita Volkov Russia 8 56 0.4× 77 0.8× 61 0.8× 89 1.2× 58 0.9× 30 282
Fengzhu Guo China 8 91 0.6× 137 1.5× 72 0.9× 79 1.1× 36 0.6× 22 394
Magdalena Gabrysiak Poland 9 75 0.5× 155 1.6× 228 2.9× 69 0.9× 246 3.8× 11 478
Ingrid Sol Cogno Argentina 9 60 0.4× 90 1.0× 203 2.6× 33 0.5× 220 3.4× 9 342
Marika Musielak Poland 9 44 0.3× 74 0.8× 91 1.2× 61 0.8× 39 0.6× 18 251
Mengdi Hao China 11 60 0.4× 118 1.3× 32 0.4× 68 0.9× 30 0.5× 35 296

Countries citing papers authored by Agata Rybicka

Since Specialization
Citations

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

Fields of papers citing papers by Agata Rybicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Rybicka

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

All Works

10 of 10 papers shown
1.
Raffo‐Romero, Antonella, Soulaimane Aboulouard, Emmanuel Bouchaert, et al.. (2023). Establishment and characterization of canine mammary tumoroids for translational research. BMC Biology. 21(1). 23–23. 7 indexed citations
2.
Truskewycz, Adam, Hong Yin, Nils Halberg, et al.. (2022). Carbon Dot Therapeutic Platforms: Administration, Distribution, Metabolism, Excretion, Toxicity, and Therapeutic Potential. Small. 18(16). e2106342–e2106342. 176 indexed citations breakdown →
3.
Jokela, Tiina, Agnete S. T. Engelsen, Agata Rybicka, et al.. (2018). Microenvironment-Induced Non-sporadic Expression of the AXL and cKIT Receptors Are Related to Epithelial Plasticity and Drug Resistance. Frontiers in Cell and Developmental Biology. 6. 41–41. 21 indexed citations
4.
Rybicka, Agata, Bartłomiej Taciak, Robert Klopfleisch, et al.. (2017). MicroRNA expression patterns in canine mammary cancer show significant differences between metastatic and non-metastatic tumours. BMC Cancer. 17(1). 728–728. 42 indexed citations
6.
Rybicka, Agata & Magdalena Król. (2016). Identification and characterization of cancer stem cells in canine mammary tumors. Acta veterinaria Scandinavica. 58(1). 86–86. 19 indexed citations
7.
Engelsen, Agnete S. T., Jing Kang, Sébastien Bougnaud, et al.. (2016). Abstract B027: BGB324, a selective small molecule inhibitor of AXL receptor tyrosine kinase, enhances immune checkpoint inhibitor efficacy. Cancer Immunology Research. 4(11_Supplement). B027–B027. 1 indexed citations
8.
Mucha, Joanna, Agata Rybicka, I. Dolka, et al.. (2016). Immunosuppression in Dogs During Mammary Cancer Development. Veterinary Pathology. 53(6). 1147–1153. 20 indexed citations
9.
Rybicka, Agata, Ceren Eyileten, Bartłomiej Taciak, et al.. (2016). Tumour-associated macrophages influence canine mammary cancer stem-like cells enhancing their pro-angiogenic properties.. PubMed. 67(4). 491–500. 14 indexed citations
10.
Rybicka, Agata, Joanna Mucha, Kinga Majchrzak, et al.. (2015). Analysis of microRNA expression in canine mammary cancer stem-like cells indicates epigenetic regulation of transforming growth factor-beta signaling.. PubMed. 66(1). 29–37. 21 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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