Paul van Diest

581 total citations
4 papers, 349 citations indexed

About

Paul van Diest is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Paul van Diest has authored 4 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cancer Research, 1 paper in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Paul van Diest's work include AI in cancer detection (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Genetic factors in colorectal cancer (1 paper). Paul van Diest is often cited by papers focused on AI in cancer detection (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Genetic factors in colorectal cancer (1 paper). Paul van Diest collaborates with scholars based in Netherlands, Italy and Germany. Paul van Diest's co-authors include Arjan J. Groot, Marc Vooijs, Eelke Gort, Geert Litjens, Marcory van Dijk, Carla Wauters, Quirine F. Manson, Rob Vogels, Alexi Baidoshvili and Peter Bult and has published in prestigious journals such as Current Molecular Medicine, OncoTargets and Therapy and GigaScience.

In The Last Decade

Paul van Diest

4 papers receiving 343 citations

Peers

Paul van Diest
Comparison fields: 5 of 57
  • Artificial Intelligence 186
  • Radiology, Nuclear Medicine and Imaging 127
  • Molecular Biology 101
  • Cancer Research 92
  • Computer Vision and Pattern Recognition 81
Replace Marcory van Dijk with:
Marcory van Dijk Netherlands
Robert Kornegoor Netherlands
Ramón Viñas United Kingdom
Venkata N. P. Vemuri United States
Michel E. Vandenberghe United Kingdom
Daniel Heim Germany
Mike Feldman United States
Maha Shady United States
Tianhao Zhao China
Alexander W. Jung United Kingdom
Marcory van Dijk Netherlands View profile →
Citations per field, relative to Paul van Diest
Paul van Diest · 1×
Citations per year, relative to Paul van Diest
Paul van Diest · 1×

Countries citing papers authored by Paul van Diest

Since Specialization
Citations

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

Fields of papers citing papers by Paul van Diest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul van Diest. 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 Paul van Diest. The network helps show where Paul van Diest may publish in the future.

Co-authorship network of co-authors of Paul van Diest

This figure shows the co-authorship network connecting the top 25 collaborators of Paul van Diest. A scholar is included among the top collaborators of Paul van Diest 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 Paul van Diest. Paul van Diest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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