Ellen Verschuur

588 citations
14 papers · 360 · h-index 6

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer Cells and Metastasis
    • Global Cancer Incidence and Screening

Papers in

    • Breast Cancer Treatment Studies 6
    • Cancer Genomics and Diagnostics 5
    • Global Cancer Incidence and Screening 3

Ellen Verschuur

11 papers receiving 356 citations

Peers

Ellen Verschuur
Comparison fields: 5 of 57
  • Cancer Research 169
  • Oncology 114
  • Pathology and Forensic Medicine 35
  • Biophysics 11
  • Radiology, Nuclear Medicine and Imaging 33
Replace Elizabeth Zarrella with:
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Ellen Verschuur relative to Elizabeth Zarrella United States Elizabeth Zarrella's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ellen Verschuur

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Verschuur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019219
2 202255
3 202233
4 202322
5 202210
6 20239
7 20236
8 20252
9 20252
10 20241
11 20201
12 20250
13 20240
14 20250

About Ellen Verschuur

Ellen Verschuur is a scholar working on Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging, Surgery and Artificial Intelligence, having authored 14 papers that have together received 360 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Cancer Genomics and Diagnostics (5 papers), Global Cancer Incidence and Screening (3 papers), Esophageal Cancer Research and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers), Medical Imaging Techniques and Applications (1 paper) and Digital Radiography and Breast Imaging (1 paper). The work is most often cited by research in Cancer Research (169 citations), Oncology (114 citations), Pathology and Forensic Medicine (35 citations), Biophysics (11 citations) and Radiology, Nuclear Medicine and Imaging (33 citations). Ellen Verschuur has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jelle Wesseling, Esther H. Lips, Maartje van Seijen, E. Shelley Hwang, P. Andrew Futreal, Daniel William Rea, Alastair Mark Thompson, Serena Nik-Zainal, Jos Jonkers and Ellen G. Engelhardt. Their work appears in journals such as European Journal of Cancer, BMJ, Breast Cancer Research and Treatment, Nature Genetics and European Radiology.

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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