Renata Kusińska
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Genetics
- Immunology and Allergy top 5%
- Co-authors
- Radzisław KordekPiotr PotemskiElżbieta PłuciennikAndrzej K. BednarekCezary WatałaRobert KubiakDorota Jesionek‐KupnickaHanna Romańska
- Topics
- HER2/EGFR in Cancer Research (8 papers)Cancer Cells and Metastasis (6 papers)Cancer-related Molecular Pathways (6 papers)
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Renata Kusińska
25 papers receiving 535 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 256
- Oncology 248
- Cancer Research 166
- Genetics 118
- Immunology and Allergy 90
Countries citing papers authored by Renata Kusińska
This map shows the geographic impact of Renata Kusińska'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 Renata Kusińska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renata Kusińska more than expected).
Fields of papers citing papers by Renata Kusińska
This network shows the impact of papers produced by Renata Kusińska. 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 Renata Kusińska. The network helps show where Renata Kusińska may publish in the future.
Co-authorship network of co-authors of Renata Kusińska
This figure shows the co-authorship network connecting the top 25 collaborators of Renata Kusińska. A scholar is included among the top collaborators of Renata Kusińska 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 Renata Kusińska. Renata Kusińska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | Expression of CD151/Tspan24 and integrin alpha 3 complex in aid of prognostication of HER2-negative high-grade ductal carcinoma in situ. | 8 |
| 4 | 32 | |
| 5 | 31 | |
| 6 | 4 | |
| 7 | 35 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 73 | |
| 11 | 29 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | A comparative assessment of HER2 status in operable breast cancer by real-time RT-PCR and by immunohistochemistry. | 13 |
| 15 | 15 | |
| 16 | Cyclin E expression in breast cancer correlates with negative steroid receptor status, HER2 expression, tumor grade and proliferation. | 19 |
| 17 | 92 | |
| 18 | Immunohistochemical identification of basal-type cytokeratins in invasive ductal breast carcinoma--relation with grade, stage, estrogen receptor and HER2. | 29 |
| 19 | 10 | |
| 20 | 77 |
About Renata Kusińska
Renata Kusińska is a scholar working on Oncology, Immunology and Allergy and Dermatology, having authored 25 papers that have together received 550 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (8 papers), Cancer Cells and Metastasis (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Immunology and Allergy (90 citations), Cancer Research (166 citations) and Oncology (248 citations). Renata Kusińska has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Radzisław Kordek, Piotr Potemski, Elżbieta Płuciennik, Andrzej K. Bednarek, Cezary Watała, Robert Kubiak, Dorota Jesionek‐Kupnicka, Hanna Romańska, Fedor Berditchevski and Vera Novitskaya. Their work appears in journals such as Oncogene, Annals of Oncology and Histopathology.
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.