Beata Rybicka
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
-
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
Papers in
-
- RNA modifications and cancer 5
- RNA Research and Splicing 4
- Renal and related cancers 3
- Epigenetics and DNA Methylation 3
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 3
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Agnieszka Piekiełko‐Witkowska (16 shared papers)Joanna Bogusławska (14 shared papers)Piotr Popławski (13 shared papers)Hanna Kędzierska (7 shared papers)Zbigniew Tański (6 shared papers)Marta Koblowska (5 shared papers)Mirosław Ślusarczyk (1 shared paper)Alisdair R. Fernie (3 shared papers)
In The Last Decade
Beata Rybicka
17 papers receiving 395 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 170
- Molecular Biology 286
- Immunology and Allergy 25
- Oncology 59
- Pulmonary and Respiratory Medicine 70
Countries citing papers authored by Beata Rybicka
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
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-authors
The 25 scholars most cited alongside Beata Rybicka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 98 | |
| 2 | 2017 | 44 | |
| 3 | 2016 | 39 | |
| 4 | 2016 | 37 | |
| 5 | 2019 | 28 | |
| 6 | 2018 | 26 | |
| 7 | 2014 | 21 | |
| 8 | 2016 | 20 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 18 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2010 | 11 | |
| 14 | 2025 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2013 | 4 | |
| 17 | 2025 | 1 |
About Beata Rybicka
Beata Rybicka is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Nature and Landscape Conservation, having authored 17 papers that have together received 397 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Renal and related cancers (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Renal cell carcinoma treatment (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (170 citations), Molecular Biology (286 citations), Immunology and Allergy (25 citations), Oncology (59 citations) and Pulmonary and Respiratory Medicine (70 citations). Beata Rybicka has collaborated with scholars based in Poland, Germany and Bulgaria. Frequent 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. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, PLoS ONE, Gene, Journal of Insect Physiology and International Journal of Molecular Sciences.
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.