Beata Rybicka

600 citations
17 papers · 404 · h-index 12

Impact in

Papers in

    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • Epigenetics and DNA Methylation 2
    • Renal and related cancers 2
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 2
    • Cancer, Hypoxia, and Metabolism 2

Beata Rybicka

17 papers receiving 403 citations

Peers

Beata Rybicka
Comparison fields: 5 of 61
  • Cancer Research 134
  • Immunology and Allergy 25
  • Molecular Biology 244
  • Endocrinology, Diabetes and Metabolism 34
  • Pulmonary and Respiratory Medicine 52
Replace Hanna Kędzierska with:
Hanna Kędzierska Poland
Zbigniew Tański Poland
Shouyong Liu China
Elyse L. Walk United States
Michael WY Chan Taiwan
Liyu Wu United States
Xiuju Sun China
Giovanni Antico United States
José Pontes‐Júnior Brazil
Daniel J. Purcell United States
Beata Rybicka relative to Hanna Kędzierska Poland Hanna Kędzierska's profile →
Citations per field
00.5×1.5×
Hanna Kędzierska · 1×
Citations per year

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-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.

Border = papers with Beata Rybicka Line = papers co-authored together Beata Rybicka links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201598
2 201745
3 201639
4 201637
5 201930
6 201826
7 201421
8 201620
9 201718
10 201618
11 202313
12 202212
13 201011
14 20257
15 20234
16 20134
17 20251

About Beata Rybicka

Beata Rybicka is a scholar working on Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism, Nature and Landscape Conservation and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 404 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (2 papers), Renal and related cancers (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (134 citations), Immunology and Allergy (25 citations), Molecular Biology (244 citations), Endocrinology, Diabetes and Metabolism (34 citations) and Pulmonary and Respiratory Medicine (52 citations). Beata Rybicka has collaborated with scholars based in Poland, Germany and Bulgaria. Frequent co-authors include Agnieszka Piekiełko‐Witkowska, Joanna Bogusławska, Piotr Popławski, Zbigniew Tański, Hanna Kędzierska, Marta Koblowska, Mirosław Ślusarczyk, Alisdair R. Fernie, Alicja Nauman and Roksana Iwanicka‐Nowicka. Their work appears in journals such as PLoS ONE, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Cancer Letters, Gene and Cancer Cell International.

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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