Violetta Filas
- Oncology top 5%
- HER2/EGFR in Cancer Research 4
- Cancer Research top 10%
- Biomedical Engineering top 5%
- Biomaterials top 10%
- Cell Biology top 10%
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- BRCA gene mutations in cancer 3
- Estrogen and related hormone effects 3
- Virus-based gene therapy research 2
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- Melanoma and MAPK Pathways 3
- Glycosylation and Glycoproteins Research 2
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- Dialysis and Renal Disease Management 3
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- T-cell and Retrovirus Studies 2
- Co-authors
- Katarzyna LamperskaTomasz KolendaAnna TeresiakMarta KapałczyńskaŁukasz ŁuczewskiWeronika PrzybyłaMatthew IbbsRenata Bliźniak
- Journals
- Cancer (2 papers)Advances in Clinical and Experimental Medicine (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- PolandUnited StatesCanada
In The Last Decade
Violetta Filas
41 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Oncology 530
- Cancer Research 230
- Biomedical Engineering 593
- Biomaterials 118
- Cell Biology 147
Countries citing papers authored by Violetta Filas
This map shows the geographic impact of Violetta Filas'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 Violetta Filas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Violetta Filas more than expected).
Fields of papers citing papers by Violetta Filas
This network shows the impact of papers produced by Violetta Filas. 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 Violetta Filas. The network helps show where Violetta Filas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Violetta Filas, 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 | 2021 | 2 | |
| 2 | 2021 | 5 | |
| 3 | 2020 | 15 | |
| 4 | 2019 | 7 | |
| 5 | 2019 | 8 | |
| 6 | 2017 | 21 | |
| 7 | 2D and 3D cell cultures – a comparison of different types of cancer cell culturesbreakdown → | 2016 | 1082 |
| 8 | 2013 | 27 | |
| 9 | 2012 | 54 | |
| 10 | 2011 | 9 | |
| 11 | 2010 | 39 | |
| 12 | 2010 | 27 | |
| 13 | 2008 | 10 | |
| 14 | 2008 | 29 | |
| 15 | 2007 | 12 | |
| 16 | 2006 | 7 | |
| 17 | 2005 | 1 | |
| 18 | Prognostic value of selected immunohistochemical markers in skin melanoma | 2002 | 4 |
| 19 | 2001 | 5 | |
| 20 | No evidence of HTLV-I infection in patients with mycosis fungoides and Sezary Syndrome | 2000 | 2 |
About Violetta Filas
Violetta Filas is a scholar working on Oncology, Nephrology and Cancer Research, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), BRCA gene mutations in cancer (3 papers), Melanoma and MAPK Pathways (3 papers), Dialysis and Renal Disease Management (3 papers), Estrogen and related hormone effects (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and Retrovirus Studies (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (530 citations), Cancer Research (230 citations) and Biomedical Engineering (593 citations). Violetta Filas has collaborated with scholars based in Poland, United States and Canada. Frequent co-authors include Katarzyna Lamperska, Tomasz Kolenda, Anna Teresiak, Marta Kapałczyńska, Łukasz Łuczewski, Weronika Przybyła, Matthew Ibbs, Renata Bliźniak, M Zajaczkowska and Andrzej Maćkiewicz. Their work appears in journals such as Cancer, Advances in Clinical and Experimental Medicine, Journal of Clinical Oncology, Scientific Reports and Journal of Investigative Dermatology.
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.