Daniel den Hoed Kliniek

241.4k citations
3.6k papers ·

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
    • BRCA gene mutations in cancer
  • Oncology top 5%
    • Cutaneous Melanoma Detection and Management

Papers in

    • Advanced Radiotherapy Techniques 285
    • Cutaneous Melanoma Detection and Management 145

Daniel den Hoed Kliniek

3.5k papers receiving 241.3k citations

Peers

Daniel den Hoed Kliniek
Comparison fields: 5 of 227
  • Genetics 31.1k
  • Oncology 37.2k
  • Radiation 13.5k
  • Cancer Research 17k
  • Hematology 11.1k
Replace Erasmus MC Cancer Institute with:
Erasmus MC Cancer Institute Netherlands
European Organisation for Research and Treatment of Cancer Belgium
University Medical Centre Mannheim Germany
Deutsches Konsortium für Translationale Krebsforschung Germany
Cancer Center Amsterdam Netherlands
Royal Marsden NHS Foundation Trust United Kingdom
National Center for Tumor Diseases Germany
Institut Jules Bordet Belgium
Centre Léon Bérard France
Fondation Gustave Roussy France
Daniel den Hoed Kliniek relative to Erasmus MC Cancer Institute Netherlands Erasmus MC Cancer Institute's profile →
Citations per field
00.5×1.5×
Erasmus MC Cancer Institute · 1×
Citations per year

Countries citing scholars working at Daniel den Hoed Kliniek

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Daniel den Hoed Kliniek. 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 papers produced at Daniel den Hoed Kliniek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel den Hoed Kliniek more than expected).

Fields of papers published by authors at Daniel den Hoed Kliniek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Daniel den Hoed Kliniek at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Daniel den Hoed Kliniek at the time of their publication.

About Daniel den Hoed Kliniek

In recent decades, authors affiliated with Daniel den Hoed Kliniek have published 3.6k papers, which have received a total of 241.4k indexed citations . Scholars at this organization have produced 286 papers in Radiation, 669 papers in Oncology, 288 papers in Hematology, 240 papers in Cancer Research and 487 papers in Pulmonary and Respiratory Medicine on the topics of Advanced Radiotherapy Techniques (285 papers), Breast Cancer Treatment Studies (180 papers), Cutaneous Melanoma Detection and Management (145 papers), Sarcoma Diagnosis and Treatment (142 papers), Testicular diseases and treatments (137 papers), Acute Myeloid Leukemia Research (122 papers), Ultrasound and Hyperthermia Applications (115 papers) and Hematopoietic Stem Cell Transplantation (109 papers). Their work is cited by papers focused on Genetics (31.1k citations), Oncology (37.2k citations), Radiation (13.5k citations), Cancer Research (17k citations) and Hematology (11.1k citations). Authors at Daniel den Hoed Kliniek collaborate with scholars in Netherlands, United States and Belgium and have published in prestigious journals including International Journal of Radiation Oncology*Biology*Physics, European Journal of Cancer, British Journal of Cancer, Radiotherapy and Oncology and Journal of Clinical Oncology. Some of Daniel den Hoed Kliniek's most productive authors include Martin J. van den Bent, Jaap Verweij, Alexander M.M. Eggermont, Alex Sparreboom, Leendert H. J. Looijenga, Ben Heijmen, Jacoba van der Zee, Peter C. Levendag, John A. Foekens and Alba Ariela Brandes.

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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