Geerard L. Beets

46.1k citations
370 papers · 17.7k indexed · 5 hit papers · h-index 68
Topics
Colorectal Cancer Surgical Treatments (204 papers)Colorectal and Anal Carcinomas (116 papers)Radiomics and Machine Learning in Medical Imaging (97 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaGastroenterology

In The Last Decade

Geerard L. Beets

354 papers receiving 17.4k citations

Hit Papers

Long-term outcome in patients with a pathological complet...2010202620152020201020112014201820224008001.2k

Peers

Geerard L. Beets
Comparison fields: 5 of 158
  • Oncology 12.1k
  • Surgery 9.6k
  • Radiology, Nuclear Medicine and Imaging 5.7k
  • Pulmonary and Respiratory Medicine 2.8k
  • Pathology and Forensic Medicine 1.0k
Replace Harm van Tinteren with:
Harm van Tinteren Netherlands
Rolf Sauer Germany
Robert J. Downey United States
Christopher H. Crane United States
Dirk Arnold Germany
A. Norman United Kingdom
Cornelis Verhoef Netherlands
Lars Påhlman Sweden
Young Mog Shim South Korea
Christian Wittekind Germany
Geerard L. Beets relative to Harm van Tinteren Netherlands Harm van Tinteren's profile →
Citations per field
00.5×2.7×
Harm van Tinteren · 1×
Citations per year

Countries citing papers authored by Geerard L. Beets

Since Specialization
Citations

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

Fields of papers citing papers by Geerard L. Beets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geerard L. Beets. 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 Geerard L. Beets. The network helps show where Geerard L. Beets may publish in the future.

Co-authorship network of co-authors of Geerard L. Beets

This figure shows the co-authorship network connecting the top 25 collaborators of Geerard L. Beets. A scholar is included among the top collaborators of Geerard L. Beets based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geerard L. Beets. Geerard L. Beets is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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13 9
14 28
15 8
16 44
17 18
18 5
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About Geerard L. Beets

Geerard L. Beets is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 370 papers that have together received 17.7k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (204 papers), Colorectal and Anal Carcinomas (116 papers) and Radiomics and Machine Learning in Medical Imaging (97 papers). The work is most often cited by research in Oncology (12.1k citations), Radiology, Nuclear Medicine and Imaging (5.7k citations) and Surgery (9.6k citations). Geerard L. Beets has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Monique Maas, Doenja M. J. Lambregts, Alfons G.H. Kessels, Regina G. H. Beets‐Tan, Jos M. A. van Engelshoven, Max J. Lahaye, Patty J. Nelemans, Cornelis J.�H. van de Velde, Guido Lammering and Vincenzo Valentini. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

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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