Eva Schut
Impact in
- Oncology top 5%
- PARP inhibition in cancer therapy
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- PI3K/AKT/mTOR signaling in cancer 2
- DNA Repair Mechanisms 1
- Oncology 9
- PARP inhibition in cancer therapy 3
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Jos Jonkers (15 shared papers)Eline van der Burg (5 shared papers)Lodewyk F.A. Wessels (8 shared papers)Sjors M. Kas (6 shared papers)Sjoerd Klarenbeek (8 shared papers)Ingrid van der Heijden (2 shared papers)Rinske Drost (2 shared papers)Anne Paulien Drenth (5 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Cell Reports (1 paper)International Journal of Cancer (1 paper)Nature Genetics (1 paper)Genome Research (1 paper)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Eva Schut
15 papers receiving 1.3k citations
Eva Schut's Hit Papers
Peers
Comparison fields: 5 of 72
- Oncology 679
- Cancer Research 215
- Molecular Biology 841
- Immunology 190
- Genetics 244
Countries citing papers authored by Eva Schut
This map shows the geographic impact of Eva Schut'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 Eva Schut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Schut more than expected).
Fields of papers citing papers by Eva Schut
This network shows the impact of papers produced by Eva Schut. 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 Eva Schut. The network helps show where Eva Schut may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Schut, 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 | Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis Hit paper breakdown → | 2019 | 371 |
| 2 | 2008 | 273 | |
| 3 | 2011 | 211 | |
| 4 | 2016 | 104 | |
| 5 | 2009 | 68 | |
| 6 | 2014 | 63 | |
| 7 | 2017 | 56 | |
| 8 | 2016 | 38 | |
| 9 | 2010 | 34 | |
| 10 | 2011 | 33 | |
| 11 | 2018 | 30 | |
| 12 | 2010 | 20 | |
| 13 | 2009 | 12 | |
| 14 | 2017 | 6 | |
| 15 | 2019 | 3 |
About Eva Schut
Eva Schut is a scholar working on Molecular Biology, Oncology, Genetics, Dermatology and Biotechnology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer Cells and Metastasis (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related Molecular Pathways (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Oncology (679 citations), Cancer Research (215 citations), Molecular Biology (841 citations), Immunology (190 citations) and Genetics (244 citations). Eva Schut has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Jos Jonkers, Eline van der Burg, Lodewyk F.A. Wessels, Sjors M. Kas, Sjoerd Klarenbeek, Ingrid van der Heijden, Rinske Drost, Anne Paulien Drenth, Henne Holstege and Bastiaan Evers. Their work appears in journals such as Clinical Cancer Research, Cell Reports, International Journal of Cancer, Nature Genetics and Genome Research.
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.