Wouter B. Veldhuis

6.6k total citations · 1 hit paper
136 papers, 4.4k citations indexed

About

Wouter B. Veldhuis is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Wouter B. Veldhuis has authored 136 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Pulmonary and Respiratory Medicine and 22 papers in Surgery. Recurrent topics in Wouter B. Veldhuis's work include MRI in cancer diagnosis (50 papers), Advanced MRI Techniques and Applications (33 papers) and Radiomics and Machine Learning in Medical Imaging (31 papers). Wouter B. Veldhuis is often cited by papers focused on MRI in cancer diagnosis (50 papers), Advanced MRI Techniques and Applications (33 papers) and Radiomics and Machine Learning in Medical Imaging (31 papers). Wouter B. Veldhuis collaborates with scholars based in Netherlands, Germany and United States. Wouter B. Veldhuis's co-authors include Klaas Nicolay, Maurice A. A. J. van den Bosch, P.R. Bär, Frank P.T. Hamers, Carla H. van Gils, Willem Hendrik Gispen, Alex J. Lankhorst, Mario van der Stelt, Gerrit A. Veldink and Willem P.Th.M. Mali and has published in prestigious journals such as New England Journal of Medicine, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Wouter B. Veldhuis

133 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Supplemental MRI Screening for Women with Extremely Dense Breast Tissue

2019 393 citations Marije F. Bakker, Stéphanie V. de Lange et al. profile →

Peers

Wouter B. Veldhuis

RNMI

PRM

ONCOL

PFM

CMN

Asgeir Store Jakola Sweden

Ralph Buchert Germany

Min‐Ying Su United States

Rémy Guillevin France

Sumei Wang China

Axel Rominger Switzerland

Ole Solheim Norway

Cristina Messa Italy

Peter M. Black United States

Orazio Schillaci Italy

Asgeir Store Jakola Sweden

Wouter B. Veldhuis

1.1k ×0.7

RNMI

658 ×0.7

PRM

347 ×0.5

ONCOL

561 ×0.8

PFM

273 ×0.4

CMN

Citations per year, relative to Wouter B. Veldhuis Wouter B. Veldhuis (= 1×) peers Asgeir Store Jakola

Countries citing papers authored by Wouter B. Veldhuis

Since Specialization

Citations

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

Fields of papers citing papers by Wouter B. Veldhuis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter B. Veldhuis. 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 Wouter B. Veldhuis. The network helps show where Wouter B. Veldhuis may publish in the future.

Co-authorship network of co-authors of Wouter B. Veldhuis

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sikma, Maaike A., et al.. (2024). Estimation of renal function immediately after cessation of continuous renal replacement therapy at the ICU. Scientific Reports. 14(1). 21098–21098. 1 indexed citations

Dijkink, Suzan, Pieta Krijnen, Wouter B. Veldhuis, et al.. (2024). The correlation of CT-derived muscle density, skeletal muscle index, and visceral adipose tissue with nutritional status in severely injured patients. European Journal of Trauma and Emergency Surgery. 50(6). 3209–3215.

Veldhuis, Wouter B., et al.. (2023). Impact of body composition and physical strength changes during chemoradiotherapy on complications and survival after oesophagectomy. European Journal of Surgical Oncology. 49(10). 107017–107017. 1 indexed citations

Nijholt, Ingrid M., et al.. (2023). An artificial intelligence algorithm for pulmonary embolism detection on polychromatic computed tomography: performance on virtual monochromatic images. European Radiology. 34(1). 384–390. 4 indexed citations

Jong, Pim A. de, Firdaus A. Mohamed Hoesein, Lukas Dekker, et al.. (2023). Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT. European Radiology. 34(1). 367–373. 12 indexed citations

Jong, Pim A. de, Firdaus A. Mohamed Hoesein, Lukas Dekker, et al.. (2023). Retrospective batch analysis to evaluate the diagnostic accuracy of a clinically deployed AI algorithm for the detection of acute pulmonary embolism on CTPA. Insights into Imaging. 14(1). 102–102. 17 indexed citations

Houwert, Roderick M., et al.. (2022). Computed tomographic bone mineral density is independently associated with adverse in-hospital outcomes in Dutch level-1 trauma patients. European Journal of Trauma and Emergency Surgery. 49(3). 1393–1400.

Veldhuis, Wouter B., et al.. (2022). Individualized Contrast Media Application Based on Body Weight and Contrast Enhancement in Computed Tomography of Livers without Steatosis. Diagnostics. 12(7). 1551–1551. 1 indexed citations

Klip, IJsbrand T., et al.. (2022). Cardiovascular parameters on computed tomography are independently associated with in-hospital complications and outcomes in level-1 trauma patients. European Journal of Trauma and Emergency Surgery. 49(3). 1295–1302. 2 indexed citations

10.

Boosman, René J., Wouter B. Veldhuis, Stefanie L. Groenland, et al.. (2022). Exposure–Response Analysis of Osimertinib in EGFR Mutation Positive Non-Small Cell Lung Cancer Patients in a Real-Life Setting. Pharmaceutical Research. 39(10). 2507–2514. 14 indexed citations

11.

Mandija, Stefano, Wouter B. Veldhuis, Maaike R. Moman, et al.. (2021). Dynamic Contrast-enhanced and Diffusion-weighted Magnetic Resonance Imaging for Response Evaluation After Single-Dose Ablative Neoadjuvant Partial Breast Irradiation. Advances in Radiation Oncology. 7(2). 100854–100854. 6 indexed citations

12.

Veldhuis, Wouter B., et al.. (2021). Towards Personalised Contrast Injection: Artificial-Intelligence-Derived Body Composition and Liver Enhancement in Computed Tomography. Journal of Personalized Medicine. 11(3). 159–159. 8 indexed citations

13.

Gils, Carla H. van, Bas H. M. van der Velden, Marije F. Bakker, et al.. (2021). Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial. Radiology. 302(1). 29–36. 43 indexed citations

14.

Bakker, Marije F., Stéphanie V. de Lange, Wouter B. Veldhuis, et al.. (2021). Reducing False-Positive Screening MRI Rate in Women with Extremely Dense Breasts Using Prediction Models Based on Data from the DENSE Trial. Radiology. 301(2). 283–292. 10 indexed citations

15.

Velzen, Sanne G. M. van, Nikolas Leßmann, Birgitta K. Velthuis, et al.. (2020). Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols. Radiology. 295(1). 66–79. 155 indexed citations

16.

Harder, Annemarie M. den, Pim A. de Jong, Mark de Groot, et al.. (2018). Commonly available hematological biomarkers are associated with the extent of coronary calcifications. Atherosclerosis. 275. 166–173. 8 indexed citations

17.

Zelst, Jan van, Suzan Vreemann, Albert Gubern‐Mérida, et al.. (2018). Multireader Study on the Diagnostic Accuracy of Ultrafast Breast Magnetic Resonance Imaging for Breast Cancer Screening. Investigative Radiology. 53(10). 579–586. 64 indexed citations

18.

Hoogendam, Jacob P., Ronald P. Zweemer, Timme P. Schaap, Henk W.R. Schreuder, & Wouter B. Veldhuis. (2013). CT, MRI and laparoscopy findings of a retroperitoneally herniated ovary causing acute abdominal pain. Hernia. 18(6). 915–917.

19.

Stelt, Mario van der, Wouter B. Veldhuis, P.R. Bär, et al.. (2001). Neuroprotection by Δ⁹-Tetrahydrocannabinol, the Main Active Compound in Marijuana, against Ouabain-InducedIn VivoExcitotoxicity. Journal of Neuroscience. 21(17). 6475–6479. 154 indexed citations

20.

Beek, J.G. van der, et al.. (1996). Preservation of Meloidogyne hapla and M. chitwoodi in liquid nitrogen : differences in response between populations. Fundamental & applied nematology. 19(3). 227–234. 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.

Explore authors with similar magnitude of impact