Daniëlle Raats

1.1k citations
28 papers · 818 · 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 7
    • Colorectal Cancer Treatments and Studies 6
    • Cancer-related Molecular Pathways 3
    • Cell death mechanisms and regulation 5
    • Melanoma and MAPK Pathways 3

Daniëlle Raats

27 papers receiving 815 citations

Peers

Daniëlle Raats
Comparison fields: 5 of 79
  • Oncology 325
  • Cancer Research 154
  • Biophysics 46
  • Immunology 158
  • Molecular Biology 391
Replace Mikio Kawamura with:
Mikio Kawamura Japan
Tao Zhao China
Rei Mizuno Japan
Dan G. Duda United States
Ricardo Costa Brazil
Taiji Yamazoe Japan
Takao Sudo Japan
Eva Løbner Lund Denmark
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012158
2 2010116
3 201382
4 201974
5 200843
6 201040
7 201138
8 202236
9 200735
10 201531
11 201022
12 201921
13 201117
14 201817
15 202315
16 201012
17 202111
18 201711
19 20248
20 20208

About Daniëlle Raats

Daniëlle Raats is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 28 papers that have together received 818 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Colorectal Cancer Treatments and Studies (6 papers), Cell death mechanisms and regulation (5 papers), Genetic factors in colorectal cancer (4 papers), Melanoma and MAPK Pathways (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Oncology (325 citations), Cancer Research (154 citations), Biophysics (46 citations), Immunology (158 citations) and Molecular Biology (391 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, Klaas M. Govaert, Jan Köster and Laila Ritsma. Their work appears in journals such as British Journal of Cancer, Neoplasia, Cell Death and Disease, Cancers and Gastroenterology.

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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