Marcory van Dijk

1.2k total citations
5 papers, 427 citations indexed

About

Marcory van Dijk is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Artificial Intelligence. According to data from OpenAlex, Marcory van Dijk has authored 5 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Ophthalmology and 2 papers in Artificial Intelligence. Recurrent topics in Marcory van Dijk's work include Ocular Oncology and Treatments (3 papers), Corneal Surgery and Treatments (2 papers) and AI in cancer detection (2 papers). Marcory van Dijk is often cited by papers focused on Ocular Oncology and Treatments (3 papers), Corneal Surgery and Treatments (2 papers) and AI in cancer detection (2 papers). Marcory van Dijk collaborates with scholars based in Netherlands, United Kingdom and Germany. Marcory van Dijk's co-authors include Annelies Klaasen, Sarah E. Coupland, Justyna Dopierala, Bertil Damato, Geert Litjens, Péter Bándi, Jeroen van der Laak, Maschenka Balkenhol, Paul van Diest and Carla Wauters and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Medical Image Analysis and Genes Chromosomes and Cancer.

In The Last Decade

Marcory van Dijk

5 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcory van Dijk Netherlands 5 194 171 141 118 110 5 427
Birgitte Nielsen Norway 12 82 0.4× 108 0.6× 48 0.3× 39 0.3× 58 0.5× 22 346
Shunichi Jinnai Japan 10 158 0.8× 96 0.6× 28 0.2× 245 2.1× 79 0.7× 21 455
Meriem Sefta France 5 347 1.8× 305 1.8× 24 0.2× 157 1.3× 143 1.3× 6 688
David Romo‐Bucheli Colombia 6 179 0.9× 232 1.4× 66 0.5× 39 0.3× 43 0.4× 13 327
Daniel Heim Germany 10 253 1.3× 142 0.8× 10 0.1× 84 0.7× 125 1.1× 17 578
Anna Korzyńska Poland 12 151 0.8× 81 0.5× 12 0.1× 52 0.4× 65 0.6× 36 417
Thierry Pécot United States 13 67 0.3× 63 0.4× 14 0.1× 131 1.1× 262 2.4× 34 502
Michael Lippert Denmark 7 122 0.6× 108 0.6× 16 0.1× 109 0.9× 56 0.5× 9 300
Alexander Brobeil Germany 16 158 0.8× 169 1.0× 8 0.1× 175 1.5× 310 2.8× 64 722
Pablo Zoroquiaín Canada 11 19 0.1× 85 0.5× 130 0.9× 112 0.9× 95 0.9× 64 381

Countries citing papers authored by Marcory van Dijk

Since Specialization
Citations

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

Fields of papers citing papers by Marcory van Dijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcory van Dijk

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

All Works

5 of 5 papers shown
1.
Bándi, Péter, Maschenka Balkenhol, Marcory van Dijk, et al.. (2023). Continual learning strategies for cancer-independent detection of lymph node metastases. Medical Image Analysis. 85. 102755–102755. 18 indexed citations
2.
Litjens, Geert, Péter Bándi, Babak Ehteshami Bejnordi, et al.. (2018). 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset. GigaScience. 7(6). 216 indexed citations
3.
Damato, Bertil, et al.. (2009). Multiplex Ligation-Dependent Probe Amplification of Uveal Melanoma: Correlation with Metastatic Death. Investigative Ophthalmology & Visual Science. 50(7). 3048–3048. 138 indexed citations
4.
Clarijs, Ruud, Marcory van Dijk, Dirk J. Ruiter, & Robert M.W. de Waal. (2005). Functional and Morphologic Analysis of the Fluid-Conducting Meshwork in Xenografted Cutaneous and Primary Uveal Melanoma. Investigative Ophthalmology & Visual Science. 46(9). 3013–3013. 12 indexed citations
5.
Dijk, Marcory van, Sandra H. E. Sprenger, Paul Rombout, et al.. (2002). Distinct chromosomal aberrations in sinonasal mucosal melanoma as detected by comparative genomic hybridization. Genes Chromosomes and Cancer. 36(2). 151–158. 43 indexed citations

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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