Ellen Verschuur

563 citations
7 papers · 228 · h-index 4

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 5
    • Cancer Genomics and Diagnostics 1
    • Global Cancer Incidence and Screening 2
    • Colorectal Cancer Screening and Detection 1
    • Cancer survivorship and care 1

Ellen Verschuur

7 papers receiving 226 citations

Peers

Ellen Verschuur
Comparison fields: 5 of 47
  • Cancer Research 92
  • Oncology 72
  • Pathology and Forensic Medicine 24
  • Biophysics 7
  • Radiology, Nuclear Medicine and Imaging 22
Replace Maartje van Seijen with:
Maartje van Seijen Netherlands
Elizabeth Zarrella United States
Gyöngyvér Szentmártoni Hungary
O. Young United Kingdom
Vanessa de Luque Spain
Samira Kamrudin United States
Fatma Althoubaity Saudi Arabia
Hazem Khout United Kingdom
Rodrigo Gonçalves Brazil
Giulia Cursano Italy
Ellen Verschuur relative to Maartje van Seijen Netherlands Maartje van Seijen's profile →
Citations per field
00.5×1.5×
Maartje van Seijen · 1×
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

7 of 7 papers shown
#Work
1 2019197
2 202313
3 20229
4 20235
5 20252
6 20201
7 20201

About Ellen Verschuur

Ellen Verschuur is a scholar working on Cancer Research, Oncology, Surgery, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 7 papers that have together received 228 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Global Cancer Incidence and Screening (2 papers), Cancer Genomics and Diagnostics (1 paper), Colorectal Cancer Screening and Detection (1 paper), AI in cancer detection (1 paper), Cancer survivorship and care (1 paper), Esophageal Cancer Research and Treatment (1 paper) and Digital Radiography and Breast Imaging (1 paper). The work is most often cited by research in Cancer Research (92 citations), Oncology (72 citations), Pathology and Forensic Medicine (24 citations), Biophysics (7 citations) and Radiology, Nuclear Medicine and Imaging (22 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, Jos Jonkers, P. Andrew Futreal, Serena Nik‐Zainal, E. Shelley Hwang, Daniel Rea, Alastair M. Thompson and Eveline M. A. Bleiker. Their work appears in journals such as European Journal of Cancer, European Radiology, Breast Cancer Research and Treatment, Cancer Research and British Journal of Cancer.

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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