Anna Piskorz
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 19
- Cancer-related molecular mechanisms research 5
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment 12
- Oncology top 2%
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 3
- PARP inhibition in cancer therapy 3
- Obstetrics and Gynecology top 2%
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- Molecular Biology Techniques and Applications 4
- Single-cell and spatial transcriptomics 2
- Co-authors
- James D. BrentonNitzan RosenfeldMercedes Jimenez‐LiñanMuhammed MurtazaChristine ParkinsonDavina GaleCarlos CaldasDana W.Y. Tsui
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (3 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomPolandCanada
In The Last Decade
Anna Piskorz
34 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 1.6k
- Reproductive Medicine 576
- Oncology 1.0k
- Obstetrics and Gynecology 249
- Pathology and Forensic Medicine 502
Countries citing papers authored by Anna Piskorz
This map shows the geographic impact of Anna Piskorz'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 Piskorz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Piskorz more than expected).
Fields of papers citing papers by Anna Piskorz
This network shows the impact of papers produced by Anna Piskorz. 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 Piskorz. The network helps show where Anna Piskorz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Piskorz, 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 | 2024 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 11 | |
| 4 | EGFR-activated myofibroblasts promote metastasis of pancreatic cancerbreakdown → | 2023 | 101 |
| 5 | 2023 | 20 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 84 | |
| 13 | 2016 | 204 | |
| 14 | 2016 | 13 | |
| 15 | 2015 | 25 | |
| 16 | 2014 | 10 | |
| 17 | 2011 | 71 | |
| 18 | 2011 | 31 | |
| 19 | 2011 | 38 | |
| 20 | [Influence of nutrition on selected metabolic cardiovascular risk factors among female residents of Krakow]. | 2007 | 1 |
About Anna Piskorz
Anna Piskorz is a scholar working on Reproductive Medicine, Cancer Research and General Social Sciences, having authored 34 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (19 papers), Ovarian cancer diagnosis and treatment (12 papers), Cancer-related molecular mechanisms research (5 papers), Molecular Biology Techniques and Applications (4 papers), Cancer Cells and Metastasis (3 papers), Cancer-related Molecular Pathways (3 papers), PARP inhibition in cancer therapy (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (1.6k citations), Reproductive Medicine (576 citations) and Oncology (1.0k citations). Anna Piskorz has collaborated with scholars based in United Kingdom, Poland and Canada. Frequent co-authors include James D. Brenton, Nitzan Rosenfeld, Mercedes Jimenez‐Liñan, Muhammed Murtaza, Christine Parkinson, Davina Gale, Carlos Caldas, Dana W.Y. Tsui, Sarah‐Jane Dawson and Andrew P. May. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.