C. Hoekstra

7.1k total citations
23 papers, 2.0k citations indexed

About

C. Hoekstra is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, C. Hoekstra has authored 23 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in C. Hoekstra's work include Medical Imaging Techniques and Applications (15 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Lung Cancer Diagnosis and Treatment (6 papers). C. Hoekstra is often cited by papers focused on Medical Imaging Techniques and Applications (15 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Lung Cancer Diagnosis and Treatment (6 papers). C. Hoekstra collaborates with scholars based in Netherlands, United States and Belgium. C. Hoekstra's co-authors include Otto S. Hoekstra, Adriaan A. Lammertsma, Ronald Boellaard, Egbert F. Smit, Nanda C. Krak, Jos W. R. Twisk, Pieter E. Postmus, Sigrid Stroobants, Johan Vansteenkiste and Ralph T. H. Leijenaar and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Nuclear Medicine and Radiotherapy and Oncology.

In The Last Decade

C. Hoekstra

23 papers receiving 1.9k citations

Peers

C. Hoekstra
P Aschoff Germany
J. Castelli France
Tamim Niazi Canada
T. Brun France
Houda Bahig Canada
Valerio Nardone Italy
Matthew Blackledge United Kingdom
Leyun Pan Germany
Giulia Marvaso Italy
Sarah Boughdad Switzerland
P Aschoff Germany
C. Hoekstra
Citations per year, relative to C. Hoekstra C. Hoekstra (= 1×) peers P Aschoff

Countries citing papers authored by C. Hoekstra

Since Specialization
Citations

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

Fields of papers citing papers by C. Hoekstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Hoekstra. 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 C. Hoekstra. The network helps show where C. Hoekstra may publish in the future.

Co-authorship network of co-authors of C. Hoekstra

This figure shows the co-authorship network connecting the top 25 collaborators of C. Hoekstra. A scholar is included among the top collaborators of C. Hoekstra 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 C. Hoekstra. C. Hoekstra 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.
Kouijzer, Ilse J.E., Linda M. Kampschreur, Peter C. Wever, et al.. (2017). The Value of 18F-FDG PET/CT in Diagnosis and During Follow-up in 273 Patients with Chronic Q Fever. Journal of Nuclear Medicine. 59(1). 127–133. 23 indexed citations
2.
Hagenaars, Julia C.J.P., Peter C. Wever, Nicole H. M. Renders, et al.. (2016). Value of 18F-FDG PET/CT in diagnosing chronic Q fever in patients with central vascular disease.. PubMed. 74(7). 301–8. 5 indexed citations
3.
Leijenaar, Ralph T. H., Sara Carvalho, Emmanuel Rios Velazquez, et al.. (2013). Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability. Acta Oncologica. 52(7). 1391–1397. 336 indexed citations
4.
Cheebsumon, Patsuree, Linda Velasquez, C. Hoekstra, et al.. (2011). Measuring response to therapy using FDG PET: semi-quantitative and full kinetic analysis. European Journal of Nuclear Medicine and Molecular Imaging. 38(5). 832–842. 59 indexed citations
5.
Cheebsumon, Patsuree, Floris H. P. van Velden, Maqsood Yaqub, et al.. (2011). Measurement of metabolic tumor volume: static versus dynamic FDG scans. EJNMMI Research. 1(1). 35–35. 25 indexed citations
6.
Hoetjes, Nikie J., Floris H. P. van Velden, Otto S. Hoekstra, et al.. (2010). Partial volume correction strategies for quantitative FDG PET in oncology. European Journal of Nuclear Medicine and Molecular Imaging. 37(9). 1679–1687. 119 indexed citations
7.
Dassen, Anneriet E., Daan J. Lips, C. Hoekstra, Hans Pruijt, & Koop Bosscha. (2009). FDG-PET has no definite role in preoperative imaging in gastric cancer. European Journal of Surgical Oncology. 35(5). 449–455. 100 indexed citations
8.
Boellaard, Ronald, Wim J.G. Oyen, C. Hoekstra, et al.. (2008). The Netherlands protocol for standardisation and quantification of FDG whole body PET studies in multi-centre trials. European Journal of Nuclear Medicine and Molecular Imaging. 35(12). 2320–2333. 303 indexed citations
9.
Boellaard, Ronald, Wim J.G. Oyen, C. Hoekstra, et al.. (2008). The Netherlands protocol for standardisation and quantification of FDG whole body PET studies in multi-centre trials. European Journal of Nuclear Medicine and Molecular Imaging. 35(12). 2342–2342. 10 indexed citations
10.
Lammertsma, Adriaan A., C. Hoekstra, Giuseppe Giaccone, & Otto S. Hoekstra. (2006). How should we analyse FDG PET studies for monitoring tumour response?. European Journal of Nuclear Medicine and Molecular Imaging. 33(S1). 16–21. 61 indexed citations
11.
Krak, Nanda C., Ronald Boellaard, Otto S. Hoekstra, et al.. (2004). Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial. European Journal of Nuclear Medicine and Molecular Imaging. 32(3). 294–301. 235 indexed citations
12.
Hoekstra, C., Egbert F. Smit, Johan Vansteenkiste, et al.. (2004). Prognostic relevance of early response to induction chemotherapy (IC) in locally advanced NSCLC by 18FDG positron emission tomography (PET). Journal of Clinical Oncology. 22(14_suppl). 7001–7001. 2 indexed citations
13.
14.
Hoekstra, C., Herman Rijna, Egbert F. Smit, et al.. (2002). Failure patterns of combined modality treatment in lung cancer: the impact of staging.. PubMed. 60(1). 17–21. 1 indexed citations
15.
Hoekstra, C., Sigrid Stroobants, Otto S. Hoekstra, et al.. (2002). Measurement of perfusion in stage IIIA-N2 non-small cell lung cancer using H(2)(15)O and positron emission tomography.. PubMed. 8(7). 2109–15. 43 indexed citations
16.
Hoekstra, C., Otto S. Hoekstra, Sigrid Stroobants, et al.. (2002). Methods to monitor response to chemotherapy in non-small cell lung cancer with 18F-FDG PET.. PubMed. 43(10). 1304–9. 117 indexed citations
17.
Stroobants, Sigrid, C. Hoekstra, Egbert F. Smit, et al.. (2001). 18 fluoro-2-deoxyglucose positron emission tomography (PET) in the assessment of induction chemotherapy in stage IIIA-N2 NSCLC: a multi-center prospective study. 20. 313. 14 indexed citations
18.
Hoekstra, C., Otto S. Hoekstra, Egbert F. Smit, et al.. (2000). Monitoring response to therapy in cancer using [ 18 F]-2-fluoro-2-deoxy- d -glucose and positron emission tomography: an overview of different analytical methods. European Journal of Nuclear Medicine and Molecular Imaging. 27(6). 731–743. 189 indexed citations
19.
Hoekstra, C., et al.. (1999). Thoracic Actinomycosis Imaging With Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography. Clinical Nuclear Medicine. 24(7). 529–530. 14 indexed citations
20.
Hoekstra, C., Otto S. Hoekstra, & Adriaan A. Lammertsma. (1999). On the use of image-derived input functions in oncological fluorine-18 fluorodeoxyglucose positron emission tomography studies. European Journal of Nuclear Medicine and Molecular Imaging. 26(11). 1489–1492. 39 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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