Guido de Jong

962 total citations
33 papers, 620 citations indexed

About

Guido de Jong is a scholar working on Surgery, Biomedical Engineering and Genetics. According to data from OpenAlex, Guido de Jong has authored 33 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Biomedical Engineering and 9 papers in Genetics. Recurrent topics in Guido de Jong's work include Craniofacial Disorders and Treatments (9 papers), Cleft Lip and Palate Research (9 papers) and Anatomy and Medical Technology (8 papers). Guido de Jong is often cited by papers focused on Craniofacial Disorders and Treatments (9 papers), Cleft Lip and Palate Research (9 papers) and Anatomy and Medical Technology (8 papers). Guido de Jong collaborates with scholars based in Netherlands, United States and Belgium. Guido de Jong's co-authors include Thomas Maal, Dylan Henssen, Tong Xi, Stefaan Bergé, Shankeeth Vinayahalingam, Ronald Bartels, Hans Delye, René Aquarius, Anne‐Marie van Cappellen van Walsum and Jene W. Meulstee and has published in prestigious journals such as Scientific Reports, Neurosurgery and Plastic & Reconstructive Surgery.

In The Last Decade

Guido de Jong

30 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guido de Jong Netherlands 12 219 156 153 140 120 33 620
Paul G.M. Knoops United Kingdom 12 115 0.5× 206 1.3× 105 0.7× 35 0.3× 213 1.8× 19 580
Jürgen Wallner Austria 14 208 0.9× 278 1.8× 153 1.0× 153 1.1× 45 0.4× 70 666
Taseef Hasan Farook Australia 14 153 0.7× 123 0.8× 208 1.4× 33 0.2× 29 0.2× 62 542
Johari Yap Abdullah Malaysia 12 110 0.5× 147 0.9× 137 0.9× 26 0.2× 42 0.3× 49 389
Richie Yeung China 10 227 1.0× 227 1.5× 292 1.9× 70 0.5× 92 0.8× 27 721
Luca Guastini Italy 19 140 0.6× 302 1.9× 40 0.3× 58 0.4× 23 0.2× 59 925
Tianmin Xu China 21 163 0.7× 107 0.7× 952 6.2× 91 0.7× 210 1.8× 152 1.8k
Wouter Mollemans Belgium 13 263 1.2× 258 1.7× 614 4.0× 143 1.0× 177 1.5× 30 1.2k
Frank Baan Netherlands 16 144 0.7× 143 0.9× 437 2.9× 21 0.1× 127 1.1× 44 720
Jonathan Ford United States 15 130 0.6× 146 0.9× 73 0.5× 26 0.2× 55 0.5× 48 620

Countries citing papers authored by Guido de Jong

Since Specialization
Citations

This map shows the geographic impact of Guido 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 Guido 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 Guido de Jong more than expected).

Fields of papers citing papers by Guido de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Guido de Jong. A scholar is included among the top collaborators of Guido 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 Guido de Jong. Guido de Jong 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
1.
Chargi, Najiba, John van Aalst, Marloes Nienhuijs, et al.. (2025). Automated Sella-Turcica Annotation and Mesh Alignment of 3D Stereophotographs for Craniosynostosis Patients Using a PCA-FFNN Based Approach. Journal of Craniofacial Surgery.
2.
Baan, Frank, et al.. (2025). Soft-tissue prediction based on 3D photographs for virtual surgery planning of orthognathic surgery. Computers in Biology and Medicine. 194. 110529–110529. 1 indexed citations
3.
Schreurs, Ruud, et al.. (2024). An open-source, three-dimensional growth model of the mandible. Computers in Biology and Medicine. 175. 108455–108455. 2 indexed citations
4.
Schreurs, Ruud, et al.. (2024). Fully automated landmarking and facial segmentation on 3D photographs. Scientific Reports. 14(1). 6463–6463. 7 indexed citations
5.
Jong, Guido de, et al.. (2024). Usability and outcomes of self-monitored surgical wound healing using a smartphone-based application by patients following neurosurgery. Journal of Hospital Infection. 148. 138–144. 1 indexed citations
6.
7.
Maal, Thomas J. J., et al.. (2024). Evaluating the Effectiveness of Transtibial Prosthetic Socket Shape Design Using Artificial Intelligence: A Clinical Comparison With Traditional Plaster Cast Socket Designs. Archives of Physical Medicine and Rehabilitation. 106(2). 239–246. 3 indexed citations
8.
Jong, Guido de, et al.. (2023). Views on Augmented Reality, Virtual Reality, and 3D Printing in Modern Medicine and Education: A Qualitative Exploration of Expert Opinion. Journal of Digital Imaging. 36(4). 1930–1939. 11 indexed citations
9.
Aquarius, René, Ronald Bartels, Frederick J. A. Meijer, et al.. (2022). Outcomes after Flow Diverter Treatment in Subarachnoid Hemorrhage: A Meta-Analysis and Development of a Clinical Prediction Model (OUTFLOW). Brain Sciences. 12(3). 394–394. 10 indexed citations
10.
Jong, Guido de, et al.. (2021). Virtual reality and annotated radiological data as effective and motivating tools to help Social Sciences students learn neuroanatomy. Scientific Reports. 11(1). 12843–12843. 18 indexed citations
11.
Jong, Guido de, et al.. (2021). The effectiveness of the use of augmented reality in anatomy education: a systematic review and meta-analysis. Scientific Reports. 11(1). 15292–15292. 56 indexed citations
12.
Aquarius, René, et al.. (2021). A review on imaging techniques and quantitative measurements for dynamic imaging of cerebral aneurysm pulsations. Scientific Reports. 11(1). 2175–2175. 16 indexed citations
13.
Jong, Guido de, Jene W. Meulstee, Erik van Lindert, et al.. (2020). Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis. Scientific Reports. 10(1). 15346–15346. 39 indexed citations
14.
Meulstee, Jene W., et al.. (2019). The normal evolution of the cranium in three dimensions. International Journal of Oral and Maxillofacial Surgery. 49(6). 739–749. 11 indexed citations
15.
Vinayahalingam, Shankeeth, Tong Xi, Stefaan Bergé, Thomas Maal, & Guido de Jong. (2019). Automated detection of third molars and mandibular nerve by deep learning. Scientific Reports. 9(1). 9007–9007. 117 indexed citations
16.
Jong, Guido de, et al.. (2018). Importance and Presence of High-Quality Evidence for Clinical Decisions in Neurosurgery: International Survey of Neurosurgeons. Interactive Journal of Medical Research. 7(2). e16–e16. 8 indexed citations
17.
18.
Jong, Guido de, Manon L. Tolhuisen, Jene W. Meulstee, et al.. (2017). Radiation-free 3D head shape and volume evaluation after endoscopically assisted strip craniectomy followed by helmet therapy for trigonocephaly. Journal of Cranio-Maxillofacial Surgery. 45(5). 661–671. 18 indexed citations
19.
Jong, Guido de, Thomas Maal, & Hans Delye. (2015). The computed cranial focal point. Journal of Cranio-Maxillofacial Surgery. 43(9). 1737–1742. 12 indexed citations
20.
Jong, Guido de. (1997). Scoring legs & feet in the Dutch conformation scoring system. Bulletin - International Bull Evaluation Service/Interbull bulletin. 130. 3 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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