Eva Schut
Impact in
- Oncology top 5%
- PARP inhibition in cancer therapy
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
Papers in
- Genetics 6
- BRCA gene mutations in cancer 4
- Genomic variations and chromosomal abnormalities 2
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Jos Jonkers (13 shared papers)Eline van der Burg (5 shared papers)Lodewyk F.A. Wessels (7 shared papers)Ingrid van der Heijden (2 shared papers)Rinske Drost (2 shared papers)Henne H. Holstege (3 shared papers)Sjors M. Kas (4 shared papers)Sjoerd Klarenbeek (7 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Nature (2 papers)The Journal of Pathology (1 paper)BMC Cancer (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Eva Schut
15 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 59
- Oncology 595
- Cancer Research 178
- Genetics 232
- Molecular Biology 462
- Immunology 121
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 | 2019 | 414 | |
| 2 | 2008 | 291 | |
| 3 | 2011 | 224 | |
| 4 | 2016 | 118 | |
| 5 | 2022 | 86 | |
| 6 | 2009 | 69 | |
| 7 | 2014 | 66 | |
| 8 | 2017 | 63 | |
| 9 | 2016 | 43 | |
| 10 | 2010 | 34 | |
| 11 | 2018 | 32 | |
| 12 | 2010 | 21 | |
| 13 | 2009 | 12 | |
| 14 | 2017 | 8 | |
| 15 | 2019 | 4 |
About Eva Schut
Eva Schut is a scholar working on Genetics, Cancer Research, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), PARP inhibition in cancer therapy (3 papers), Breast Lesions and Carcinomas (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Fibroblast Growth Factor Research (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (595 citations), Cancer Research (178 citations), Genetics (232 citations), Molecular Biology (462 citations) and Immunology (121 citations). Eva Schut has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Jos Jonkers, Eline van der Burg, Lodewyk F.A. Wessels, Ingrid van der Heijden, Rinske Drost, Henne H. Holstege, Sjors M. Kas, Sjoerd Klarenbeek, Bastiaan Evers and Anne Paulien Drenth. Their work appears in journals such as Clinical Cancer Research, Nature, The Journal of Pathology, BMC Cancer and Journal of Clinical Investigation.
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.