Mathijn de Jong

667 total citations
7 papers, 229 citations indexed

About

Mathijn de Jong is a scholar working on Pathology and Forensic Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mathijn de Jong has authored 7 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mathijn de Jong's work include Breast Lesions and Carcinomas (3 papers), AI in cancer detection (2 papers) and Orthopedic Surgery and Rehabilitation (2 papers). Mathijn de Jong is often cited by papers focused on Breast Lesions and Carcinomas (3 papers), AI in cancer detection (2 papers) and Orthopedic Surgery and Rehabilitation (2 papers). Mathijn de Jong collaborates with scholars based in Netherlands, Austria and Germany. Mathijn de Jong's co-authors include Ritse M. Mann, Nico Karssemeijer, Matthieu Rutten, Jan van Zelst, Ruud M. Pijnappel, Peter Bult, Suzan Vreemann, Roel Mus, Nicoline Hoogerbrugge and G.H. Woldringh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and European Radiology.

In The Last Decade

Mathijn de Jong

7 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathijn de Jong Netherlands 5 99 86 82 57 52 7 229
Lorenza Meneghetti Italy 12 178 1.8× 127 1.5× 97 1.2× 48 0.8× 71 1.4× 26 303
Jeffrey Hawley United States 7 88 0.9× 61 0.7× 49 0.6× 33 0.6× 51 1.0× 18 180
Éva Ambrózay Hungary 8 108 1.1× 106 1.2× 18 0.2× 50 0.9× 60 1.2× 25 239
Veronica Magni Italy 9 136 1.4× 77 0.9× 124 1.5× 63 1.1× 47 0.9× 12 253
Jung Min Bae South Korea 8 140 1.4× 74 0.9× 55 0.7× 19 0.3× 39 0.8× 15 308
Valeria Dominelli Italy 10 290 2.9× 85 1.0× 60 0.7× 29 0.5× 103 2.0× 22 369
Laura Kerschke Germany 9 57 0.6× 37 0.4× 59 0.7× 32 0.6× 13 0.3× 20 162
Andrea Arieno United Kingdom 14 219 2.2× 238 2.8× 270 3.3× 158 2.8× 109 2.1× 28 476
Giulia Vatteroni Italy 9 150 1.5× 37 0.4× 116 1.4× 42 0.7× 34 0.7× 20 251

Countries citing papers authored by Mathijn de Jong

Since Specialization
Citations

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

Fields of papers citing papers by Mathijn de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathijn de Jong. 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 Mathijn de Jong. The network helps show where Mathijn de Jong may publish in the future.

Co-authorship network of co-authors of Mathijn de Jong

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

All Works

7 of 7 papers shown
1.
Péquériaux, Nathalie C. V., et al.. (2022). Implementation of a care pathway for deep vein thrombosis: What's the benefit?. SHILAP Revista de lepidopterología. 7. 100109–100109. 2 indexed citations
2.
Scholten, Ernst T., Stefan Bruijnen, Mathijn de Jong, et al.. (2021). Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs. Radiology Artificial Intelligence. 3(4). e200260–e200260. 32 indexed citations
3.
Zelst, Jan van, Tao Tan, Paola Clauser, et al.. (2018). Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts. European Radiology. 28(7). 2996–3006. 55 indexed citations
4.
Zelst, Jan van, Roel Mus, G.H. Woldringh, et al.. (2017). Surveillance of Women with the BRCA1 or BRCA2 Mutation by Using Biannual Automated Breast US, MR Imaging, and Mammography. Radiology. 285(2). 376–388. 51 indexed citations
5.
Boucherie, Richard J., et al.. (2016). Rapid diagnoses at the breast center of Jeroen Bosch Hospital: a case study invoking queueing theory and discrete event simulation. Health Systems. 6(1). 77–89. 4 indexed citations
6.
Emaus, Marleen J., Marije F. Bakker, Petra H.M. Peeters, et al.. (2015). MR Imaging as an Additional Screening Modality for the Detection of Breast Cancer in Women Aged 50–75 Years with Extremely Dense Breasts: The DENSE Trial Study Design. Radiology. 277(2). 527–537. 78 indexed citations
7.
Rutten, Matthieu, et al.. (2010). Intratendinous ganglion of the long head of the biceps tendon: US and MRI features (2010: 9b). European Radiology. 20(12). 2997–3001. 7 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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