Daniel P. Noij

691 total citations
18 papers, 503 citations indexed

About

Daniel P. Noij is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Orthopedics and Sports Medicine. According to data from OpenAlex, Daniel P. Noij has authored 18 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Otorhinolaryngology and 5 papers in Orthopedics and Sports Medicine. Recurrent topics in Daniel P. Noij's work include MRI in cancer diagnosis (8 papers), Head and Neck Cancer Studies (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Daniel P. Noij is often cited by papers focused on MRI in cancer diagnosis (8 papers), Head and Neck Cancer Studies (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Daniel P. Noij collaborates with scholars based in Netherlands, Germany and United States. Daniel P. Noij's co-authors include Pim de Graaf, Jonas A. Castelijns, Marcus C. de Jong, Roland M. Martens, C. René Leemans, Remco de Bree, Remco de Bree, J. Tim Marcus, Thomas Koopman and Otto S. Hoekstra and has published in prestigious journals such as Radiology, Ophthalmology and American Journal of Neuroradiology.

In The Last Decade

Daniel P. Noij

18 papers receiving 500 citations

Peers

Daniel P. Noij

RNMI

OTORH

SURGE

OPHTH

PRM

Roland M. Martens Netherlands

Jonathan M. Bernstein United Kingdom

Lutz Freudenberg Germany

Thomas Koopman Netherlands

Marcus Ruhlmann Germany

Sedat Türkan Türkiye

Ritu Raj Upreti India

Din‐Li Tsan Taiwan

Alan Schulsinger United States

Andrés Kohan Canada

Roland M. Martens Netherlands

Daniel P. Noij

373 ×1.1

RNMI

196 ×1.1

OTORH

66 ×0.7

SURGE

4 ×0.1

OPHTH

83 ×1.3

PRM

Citations per year, relative to Daniel P. Noij Daniel P. Noij (= 1×) peers Roland M. Martens

Countries citing papers authored by Daniel P. Noij

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Noij

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Noij. 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 Daniel P. Noij. The network helps show where Daniel P. Noij may publish in the future.

Co-authorship network of co-authors of Daniel P. Noij

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

All Works

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18 of 18 papers shown

Martens, Roland M., Thomas Koopman, Daniel P. Noij, et al.. (2020). Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma. EJNMMI Research. 10(1). 102–102. 31 indexed citations

Martens, Roland M., Thomas Koopman, Cristina Lavini, et al.. (2020). Multiparametric functional MRI and 18F-FDG-PET for survival prediction in patients with head and neck squamous cell carcinoma treated with (chemo)radiation. European Radiology. 31(2). 616–628. 33 indexed citations

Martens, Roland M., Thomas Koopman, Daniel P. Noij, et al.. (2020). Adherence to pretreatment and intratreatment imaging of head and neck squamous cell carcinoma patients undergoing (chemo) radiotherapy in a research setting. Clinical Imaging. 69. 82–90. 10 indexed citations

Martens, Roland M., Thomas Koopman, Daniel P. Noij, et al.. (2020). The Additional Value of Ultrafast DCE-MRI to DWI-MRI and 18F-FDG-PET to Detect Occult Primary Head and Neck Squamous Cell Carcinoma. Cancers. 12(10). 2826–2826. 12 indexed citations

Martens, Roland M., Daniel P. Noij, Thomas Koopman, et al.. (2019). Predictive value of quantitative diffusion-weighted imaging and 18-F-FDG-PET in head and neck squamous cell carcinoma treated by (chemo)radiotherapy. European Journal of Radiology. 113. 39–50. 40 indexed citations

Noij, Daniel P., Roland M. Martens, Gerben J.C. Zwezerijnen, et al.. (2018). Diagnostic value of diffusion-weighted imaging and 18F-FDG-PET/CT for the detection of unknown primary head and neck cancer in patients presenting with cervical metastasis. European Journal of Radiology. 107. 20–25. 25 indexed citations

Martens, Roland M., Daniel P. Noij, Thomas Koopman, et al.. (2018). Functional imaging early during (chemo)radiotherapy for response prediction in head and neck squamous cell carcinoma; a systematic review. Oral Oncology. 88. 75–83. 35 indexed citations

Noij, Daniel P., Roland M. Martens, Thomas Koopman, et al.. (2018). Use of Diffusion-Weighted Imaging and 18F-Fluorodeoxyglucose Positron Emission Tomography Combined With Computed Tomography in the Response Assessment for (Chemo)radiotherapy in Head and Neck Squamous Cell Carcinoma. Clinical Oncology. 30(12). 780–792. 9 indexed citations

Noij, Daniel P., Roland M. Martens, J. Tim Marcus, et al.. (2017). Intravoxel incoherent motion magnetic resonance imaging in head and neck cancer: A systematic review of the diagnostic and prognostic value. Oral Oncology. 68. 81–91. 60 indexed citations

10.

Noij, Daniel P., Pim de Graaf, Marcus C. de Jong, et al.. (2017). Detection of residual head and neck squamous cell carcinoma after (chemo)radiotherapy: a pilot study assessing the value of diffusion-weighted magnetic resonance imaging as an adjunct to PET-CT using 18 F-FDG. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 124(3). 296–305.e2. 4 indexed citations

11.

Noij, Daniel P., et al.. (2016). Spontaneous regression of hepatocellular carcinoma in a Caucasian male patient: A case report and review of the literature. Molecular and Clinical Oncology. 6(2). 225–228. 2 indexed citations

12.

Jong, Marcus C. de, Sophia Göricke, Hervé J. Brisse, et al.. (2015). Diagnostic Accuracy of Intraocular Tumor Size Measured with MR Imaging in the Prediction of Postlaminar Optic Nerve Invasion and Massive Choroidal Invasion of Retinoblastoma. Radiology. 279(3). 817–826. 21 indexed citations

13.

Noij, Daniel P., Marcus C. de Jong, J. Tim Marcus, et al.. (2014). Contrast-enhanced perfusion magnetic resonance imaging for head and neck squamous cell carcinoma: A systematic review. Oral Oncology. 51(2). 124–138. 32 indexed citations

14.

Noij, Daniel P., Petra J. W. Pouwels, Redina Ljumanović, et al.. (2014). Predictive value of diffusion-weighted imaging without and with including contrast-enhanced magnetic resonance imaging in image analysis of head and neck squamous cell carcinoma. European Journal of Radiology. 84(1). 108–116. 39 indexed citations

15.

Noij, Daniel P., Indra C. Pieters-van den Bos, Emile F.I. Comans, et al.. (2014). Whole-body-MR imaging including DWIBS in the work-up of patients with head and neck squamous cell carcinoma: A feasibility study. European Journal of Radiology. 83(7). 1144–1151. 16 indexed citations

16.

Jong, Marcus C. de, Pim de Graaf, Daniel P. Noij, et al.. (2014). Diagnostic Performance of Magnetic Resonance Imaging and Computed Tomography for Advanced Retinoblastoma. Ophthalmology. 121(5). 1109–1118. 48 indexed citations

17.

Pouwels, Petra J. W., Daniel P. Noij, Redina Ljumanović, et al.. (2014). Diffusion-Weighted Imaging of the Head and Neck in Healthy Subjects: Reproducibility of ADC Values in Different MRI Systems and Repeat Sessions. American Journal of Neuroradiology. 36(2). 384–390. 61 indexed citations

18.

Bree, Remco de, Lisa van der Putten, Daniel P. Noij, et al.. (2014). Diffusion-weighted EPI- and HASTE-MRI and 18F-FDG-PET-CT early during chemoradiotherapy in advanced head and neck cancer.. PubMed. 4(4). 239–50. 25 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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