Danique E. M. Duits
Impact in
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- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
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- Immune cells in cancer 3
- Immune Cell Function and Interaction 2
- Phagocytosis and Immune Regulation 1
- Oncology 3
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Karin E. de Visser (4 shared papers)Max D. Wellenstein (3 shared papers)Cheei‐Sing Hau (3 shared papers)Kim Vrijland (3 shared papers)Sjors M. Kas (1 shared paper)Martine H. van Miltenburg (1 shared paper)Ton N. Schumacher (1 shared paper)Jos Jonkers (1 shared paper)
- Journals
- Cell Reports (1 paper)Seminars in Immunology (1 paper)Medicine (1 paper)Nature (1 paper)OncoImmunology (1 paper)
- Partner nations
- NetherlandsUnited KingdomBelgium
In The Last Decade
Danique E. M. Duits
5 papers receiving 468 citations
Danique E. M. Duits's Hit Papers
Peers
Comparison fields: 5 of 57
- Immunology 188
- Oncology 214
- Cancer Research 64
- Molecular Biology 181
- Biotechnology 19
Countries citing papers authored by Danique E. M. Duits
This map shows the geographic impact of Danique E. M. Duits'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 Danique E. M. Duits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danique E. M. Duits more than expected).
Fields of papers citing papers by Danique E. M. Duits
This network shows the impact of papers produced by Danique E. M. Duits. 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 Danique E. M. Duits. The network helps show where Danique E. M. Duits may publish in the future.
Co-authors
The 25 scholars most cited alongside Danique E. M. Duits, 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 | 369 |
| 2 | 2022 | 40 | |
| 3 | 2016 | 34 | |
| 4 | 2021 | 17 | |
| 5 | 2023 | 12 |
About Danique E. M. Duits
Danique E. M. Duits is a scholar working on Immunology, Oncology, Molecular Biology, Ophthalmology and Psychiatry and Mental health, having authored 5 papers that have together received 472 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers), Immune Cell Function and Interaction (2 papers), Epigenetics and DNA Methylation (1 paper), Melanoma and MAPK Pathways (1 paper), Phagocytosis and Immune Regulation (1 paper), Ocular Oncology and Treatments (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Immunology (188 citations), Oncology (214 citations), Cancer Research (64 citations), Molecular Biology (181 citations) and Biotechnology (19 citations). Danique E. M. Duits has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Karin E. de Visser, Max D. Wellenstein, Cheei‐Sing Hau, Kim Vrijland, Sjors M. Kas, Martine H. van Miltenburg, Ton N. Schumacher, Jos Jonkers, Eva Schut and Iris de Rink. Their work appears in journals such as Cell Reports, Seminars in Immunology, Medicine, Nature and OncoImmunology.
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.