Anna Teresiak
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
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- RNA modifications and cancer 16
- Circular RNAs in diseases 14
- RNA Research and Splicing 3
- Cancer-related gene regulation 2
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- Cancer-related molecular mechanisms research 21
- MicroRNA in disease regulation 12
- Co-authors
- Tomasz Kolenda (35 shared papers)Katarzyna Lamperska (34 shared papers)Renata Bliźniak (24 shared papers)Weronika Przybyła (6 shared papers)Marta Kapałczyńska (4 shared papers)M Zajaczkowska (3 shared papers)Matthew Ibbs (2 shared papers)Violetta Filas (2 shared papers)
In The Last Decade
Anna Teresiak
35 papers receiving 1.8k citations
Anna Teresiak's Hit Papers
Peers
Comparison fields: 5 of 111
- Cancer Research 609
- Oncology 408
- Biomedical Engineering 597
- Molecular Biology 785
- Biomaterials 106
Countries citing papers authored by Anna Teresiak
This map shows the geographic impact of Anna Teresiak'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 Anna Teresiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Teresiak more than expected).
Fields of papers citing papers by Anna Teresiak
This network shows the impact of papers produced by Anna Teresiak. 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 Anna Teresiak. The network helps show where Anna Teresiak may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Teresiak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2D and 3D cell cultures – a comparison of different types of cancer cell cultures Hit paper breakdown → | 2016 | 1157 |
| 2 | 2017 | 68 | |
| 3 | 2014 | 66 | |
| 4 | 2020 | 66 | |
| 5 | 2019 | 49 | |
| 6 | 2017 | 42 | |
| 7 | 2020 | 34 | |
| 8 | 2016 | 31 | |
| 9 | 2021 | 27 | |
| 10 | 2020 | 26 | |
| 11 | 2020 | 25 | |
| 12 | 2019 | 24 | |
| 13 | 2018 | 21 | |
| 14 | 2018 | 21 | |
| 15 | 2019 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2017 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2020 | 15 |
About Anna Teresiak
Anna Teresiak is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Otorhinolaryngology, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (21 papers), RNA modifications and cancer (16 papers), Circular RNAs in diseases (14 papers), MicroRNA in disease regulation (12 papers), RNA Research and Splicing (3 papers), Cancer Cells and Metastasis (2 papers), Cancer-related gene regulation (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Cancer Research (609 citations), Oncology (408 citations), Biomedical Engineering (597 citations), Molecular Biology (785 citations) and Biomaterials (106 citations). Anna Teresiak has collaborated with scholars based in Poland, Norway and Germany. Frequent co-authors include Tomasz Kolenda, Katarzyna Lamperska, Renata Bliźniak, Weronika Przybyła, Marta Kapałczyńska, M Zajaczkowska, Matthew Ibbs, Violetta Filas, Łukasz Łuczewski and Kacper Guglas. Their work appears in journals such as Journal of Personalized Medicine, Archives of Medical Science, Cells, Life and Anti-Cancer Agents in Medicinal Chemistry.
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.