Daniëlle B. P. Eekers

2.5k citations
95 papers · 1.8k · h-index 26

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Radiation top 5%
    • Advanced Radiotherapy Techniques

Papers in

Daniëlle B. P. Eekers

84 papers receiving 1.8k citations

Peers

Daniëlle B. P. Eekers
Comparison fields: 5 of 96
  • Genetics 324
  • Radiation 251
  • Pulmonary and Respiratory Medicine 597
  • Otorhinolaryngology 70
  • Radiology, Nuclear Medicine and Imaging 313
Replace Denise Bernhardt with:
Denise Bernhardt Germany
Daniel Robert Simpson United States
Patricia E Lindsay Canada
Rajesh Jena United Kingdom
Anne Laprie France
Stephanie Elisabeth Combs Germany
Semi Harrabi Germany
Florian Putz Germany
Valerio Nardone Italy
Bethany Marie Anderson United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniëlle B. P. Eekers

Since Specialization
Citations

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

Fields of papers citing papers by Daniëlle B. P. Eekers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniëlle B. P. Eekers, 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 B. P. Eekers Line = papers co-authored together Daniëlle B. P. Eekers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018135
2 2016125
3 2020102
4 2018100
5 201665
6 201562
7 201660
8 201656
9 201653
10 202151
11 202142
12 202142
13 201739
14 202039
15 201838
16 201135
17 202134
18 201933
19 202033
20 201532

About Daniëlle B. P. Eekers

Daniëlle B. P. Eekers is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Brain Metastases and Treatment (19 papers), Advanced Radiotherapy Techniques (14 papers), Radiation Therapy and Dosimetry (11 papers), Meningioma and schwannoma management (10 papers), Cancer survivorship and care (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer-related cognitive impairment studies (3 papers). The work is most often cited by research in Genetics (324 citations), Radiation (251 citations), Pulmonary and Respiratory Medicine (597 citations), Otorhinolaryngology (70 citations) and Radiology, Nuclear Medicine and Imaging (313 citations). Daniëlle B. P. Eekers has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Philippe Lambin, Ann Hoeben, Frank Verhaegen, Alida Annechien Postma, Esther G.C. Troost, Jaap D. Zindler, Inge Compter, Linda P.C.M. Ackermans, Ruud M A Houben and Dirk De Ruysscher. Their work appears in journals such as Radiotherapy and Oncology, Journal of Neuro-Oncology, Clinical and Translational Radiation Oncology, Cancers and Neuro-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.

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