Anke Witteveen
Impact in
- Cancer Research top 0.1%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 0.5%
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
Papers in
-
- Breast Cancer Treatment Studies 8
- Cancer Genomics and Diagnostics 5
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- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 3
- Molecular Biology Techniques and Applications 3
- Co-authors
- René Bernards (8 shared papers)Laura van ‘t Veer (9 shared papers)Marc J. van de Vijver (4 shared papers)Matthew J. Marton (2 shared papers)Hongyue Dai (2 shared papers)Stephen Friend (2 shared papers)Yudong D. He (2 shared papers)Chris Roberts (2 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Breast Cancer Research and Treatment (2 papers)Clinical Cancer Research (1 paper)Biomarker Insights (1 paper)Annals of Oncology (1 paper)
- Partner nations
- NetherlandsUnited StatesBelgium
In The Last Decade
Anke Witteveen
19 papers receiving 13.1k citations
Anke Witteveen's Hit Papers
Peers
Comparison fields: 5 of 164
- Cancer Research 4.8k
- Oncology 3.7k
- Molecular Biology 7.1k
- Pathology and Forensic Medicine 815
- Genetics 1.3k
Countries citing papers authored by Anke Witteveen
This map shows the geographic impact of Anke Witteveen'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 Anke Witteveen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Witteveen more than expected).
Fields of papers citing papers by Anke Witteveen
This network shows the impact of papers produced by Anke Witteveen. 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 Anke Witteveen. The network helps show where Anke Witteveen may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Witteveen, 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 | Gene expression profiling predicts clinical outcome of breast cancer Hit paper breakdown → | 2002 | 7547 |
| 2 | A Gene-Expression Signature as a Predictor of Survival in Breast Cancer Hit paper breakdown → | 2002 | 5002 |
| 3 | 2006 | 378 | |
| 4 | 2003 | 355 | |
| 5 | 2008 | 144 | |
| 6 | 2008 | 120 | |
| 7 | 2016 | 37 | |
| 8 | 2016 | 30 | |
| 9 | 2017 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2009 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2004 | 8 | |
| 14 | 2020 | 5 | |
| 15 | 2004 | 5 | |
| 16 | 2016 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2022 | 1 |
About Anke Witteveen
Anke Witteveen is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Epidemiology, having authored 19 papers that have together received 13.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), Gene expression and cancer classification (7 papers), Cancer Genomics and Diagnostics (5 papers), Bioinformatics and Genomic Networks (3 papers), Molecular Biology Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Multiple and Secondary Primary Cancers (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Cancer Research (4.8k citations), Oncology (3.7k citations), Molecular Biology (7.1k citations), Pathology and Forensic Medicine (815 citations) and Genetics (1.3k citations). Anke Witteveen has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include René Bernards, Laura van ‘t Veer, Marc J. van de Vijver, Matthew J. Marton, Hongyue Dai, Stephen Friend, Yudong D. He, Chris Roberts, Augustinus A. M. Hart and George J. Schreiber. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer Research and Treatment, Clinical Cancer Research, Biomarker Insights and Annals of Oncology.
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.