Daniëlle Raats

1.1k citations
29 papers · 866 · 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
    • Cancer, Hypoxia, and Metabolism 3

Daniëlle Raats

28 papers receiving 860 citations

Peers

Daniëlle Raats
Comparison fields: 5 of 77
  • Oncology 281
  • Cancer Research 138
  • Biophysics 45
  • Immunology 153
  • Molecular Biology 374
Replace Tao Zhao with:
Tao Zhao China
Rei Mizuno Japan
Ignazia Tusa Italy
Qin Ruan United States
Yun-Fei Xia China
María Dirlei Begnami Brazil
Eva Løbner Lund Denmark
Nina G. Steele United States
Daniëlle Raats relative to Tao Zhao China Tao Zhao'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 2012168
2 2010118
3 201385
4 201981
5 200843
6 201041
7 201141
8 202239
9 200735
10 201533
11 201023
12 201921
13 202321
14 201817
15 201117
16 201012
17 202112
18 201711
19 202410
20 202010

About Daniëlle Raats

Daniëlle Raats is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Biotechnology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 866 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), Cancer Research and Treatments (2 papers), Cell death mechanisms and regulation (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Oncology (281 citations), Cancer Research (138 citations), Biophysics (45 citations), Immunology (153 citations) and Molecular Biology (374 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, Menno T. de Bruijn, Frederik J.H. Hoogwater, Winan J. van Houdt, Klaas M. Govaert, Jacco van Rheenen, Benjamin Lucas Emmink and Laila Ritsma. Their work appears in journals such as British Journal of Cancer, Neoplasia, Oncotarget, Cancers and Cell Death and Disease.

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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