Daniëlle Raats

1.1k citations
29 papers · 834 · h-index 15

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Colorectal Cancer Treatments and Studies
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Cells and Metastasis 6
    • Colorectal Cancer Treatments and Studies 5
    • Cell death mechanisms and regulation 2
    • Protein Kinase Regulation and GTPase Signaling 2

Daniëlle Raats

28 papers receiving 831 citations

Peers

Daniëlle Raats
Comparison fields: 5 of 77
  • Oncology 277
  • Cancer Research 132
  • Biophysics 44
  • Immunology 148
  • Molecular Biology 364
Replace Mikio Kawamura with:
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Tao Zhao China
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Daniëlle Raats relative to Mikio Kawamura Japan Mikio Kawamura's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniëlle Raats

Since Specialization
Citations

This map shows the geographic impact of Daniëlle Raats'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 Daniëlle Raats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniëlle Raats more than expected).

Fields of papers citing papers by Daniëlle Raats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniëlle Raats. 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 Daniëlle Raats. The network helps show where Daniëlle Raats may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniëlle Raats, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniëlle Raats Line = papers co-authored together Daniëlle Raats links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012159
2 2010116
3 201384
4 201976
5 200843
6 201041
7 201139
8 202238
9 200735
10 201531
11 201022
12 201921
13 202318
14 201117
15 201817
16 202112
17 201012
18 201711
19 20209
20 20248

About Daniëlle Raats

Daniëlle Raats is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 29 papers that have together received 834 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Genetic factors in colorectal cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cell death mechanisms and regulation (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Intraperitoneal and Appendiceal Malignancies (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Oncology (277 citations), Cancer Research (132 citations), Biophysics (44 citations), Immunology (148 citations) and Molecular Biology (364 citations). Daniëlle Raats has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Onno Kranenburg, Inne H.M. Borel Rinkes, Ernst J.A. Steller, Frederik J.H. Hoogwater, Menno T. de Bruijn, Winan J. van Houdt, Benjamin L. Emmink, Jan Köster, Klaas M. Govaert and Benjamin L. Emmink. Their work appears in journals such as British Journal of Cancer, Cell Death and Disease, Cancers, Gastroenterology and Neoplasia.

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.

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