Thomas C. Kwee

14.5k total citations
343 papers, 9.0k citations indexed

About

Thomas C. Kwee is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Thomas C. Kwee has authored 343 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 219 papers in Radiology, Nuclear Medicine and Imaging, 82 papers in Pulmonary and Respiratory Medicine and 72 papers in Pathology and Forensic Medicine. Recurrent topics in Thomas C. Kwee's work include Lymphoma Diagnosis and Treatment (67 papers), MRI in cancer diagnosis (65 papers) and Radiomics and Machine Learning in Medical Imaging (62 papers). Thomas C. Kwee is often cited by papers focused on Lymphoma Diagnosis and Treatment (67 papers), MRI in cancer diagnosis (65 papers) and Radiomics and Machine Learning in Medical Imaging (62 papers). Thomas C. Kwee collaborates with scholars based in Netherlands, United States and Japan. Thomas C. Kwee's co-authors include Robert M. Kwee, Rutger A. J. Nievelstein, Taro Takahara, Hugo J.A. Adams, Derya Yakar, Peter R. Luijten, Abass Alavi, Rob Fijnheer, John M. H. de Klerk and Andor W.J.M. Glaudemans and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Thomas C. Kwee

325 papers receiving 8.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas C. Kwee Netherlands 53 4.6k 2.2k 1.7k 1.6k 1.1k 343 9.0k
Michael O’Doherty United Kingdom 45 3.4k 0.7× 3.2k 1.4× 1.2k 0.7× 2.5k 1.6× 1.3k 1.2× 157 7.7k
Gerald Antoch Germany 60 8.1k 1.8× 4.6k 2.1× 2.3k 1.4× 908 0.6× 1.9k 1.7× 496 14.0k
Heiko Schöder United States 68 7.7k 1.7× 4.9k 2.2× 2.1k 1.2× 2.6k 1.6× 3.0k 2.7× 342 14.8k
Dow‐Mu Koh United Kingdom 51 9.4k 2.0× 2.4k 1.1× 2.0k 1.2× 421 0.3× 1.9k 1.7× 268 13.0k
Dominique Delbeke United States 50 5.0k 1.1× 2.7k 1.2× 2.0k 1.2× 540 0.3× 2.1k 1.9× 138 9.2k
Elmar M. Merkle United States 47 3.7k 0.8× 1.8k 0.8× 2.3k 1.4× 828 0.5× 1.0k 0.9× 221 7.9k
Sally F. Barrington United Kingdom 43 4.1k 0.9× 2.5k 1.1× 829 0.5× 6.5k 4.1× 3.1k 2.8× 189 10.3k
Rathan M. Subramaniam United States 44 3.2k 0.7× 1.8k 0.8× 1.4k 0.8× 364 0.2× 1.4k 1.3× 303 7.1k
Nina A. Mayr United States 48 5.3k 1.1× 2.7k 1.2× 1.5k 0.9× 536 0.3× 1.3k 1.1× 224 9.7k
Domenico Rubello Italy 61 4.3k 0.9× 3.6k 1.6× 5.0k 3.0× 804 0.5× 3.4k 3.0× 579 14.1k

Countries citing papers authored by Thomas C. Kwee

Since Specialization
Citations

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

Fields of papers citing papers by Thomas C. Kwee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas C. Kwee

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C. Kwee. A scholar is included among the top collaborators of Thomas C. Kwee 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 Thomas C. Kwee. Thomas C. Kwee 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.
Simonis, Frank F.J., et al.. (2025). Deep learning reconstruction for prostate MRI: Impact of field-of-view selection on global and regional image quality. 2. 100017–100017. 1 indexed citations
2.
Arita, Yuki, et al.. (2025). Physical examination before diagnostic ultrasonography: Alive and kicking or a relic of the past?. European Journal of Radiology. 193. 112431–112431.
3.
Leeuwen, Barbara L. van, et al.. (2025). Co-occurrence of CT-based radiological sarcopenia and frailty are related to impaired survival in surgical oncology. British Journal of Radiology. 98(1168). 607–613. 1 indexed citations
4.
Tan, Can Ozan, Peter M. A. van Ooijen, Walter Noordzij, et al.. (2024). A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist. Insights into Imaging. 15(1). 15–15. 17 indexed citations
5.
Arita, Yuki, Sungmin Woo, Thomas C. Kwee, et al.. (2024). Pictorial review of multiparametric MRI in bladder urothelial carcinoma with variant histology: pearls and pitfalls. Abdominal Radiology. 49(8). 2797–2811. 9 indexed citations
6.
Ongena, Yfke, Thomas C. Kwee, Derya Yakar, & Marieke Haan. (2024). Retrospective Radiology Research: Do We Need Informed Patient Consent?. Journal of Bioethical Inquiry. 22(1). 175–185. 1 indexed citations
7.
Kwee, Thomas C., Frank F.J. Simonis, Pim J. van Leeuwen, et al.. (2024). Patient perspectives on the use of artificial intelligence in prostate cancer diagnosis on MRI. European Radiology. 35(2). 769–775. 8 indexed citations
8.
Kwee, Thomas C., et al.. (2024). Assessing Authorship Rates over Time in Original Radiologic Research Publications. Radiology. 310(3). e231972–e231972. 1 indexed citations
9.
Yakar, Derya, et al.. (2023). The Value of Deep Learning in Gallbladder Lesion Characterization. Diagnostics. 13(4). 704–704. 9 indexed citations
10.
Noordzij, Walter, et al.. (2023). The radiology job market in the Netherlands: which subspecialties and other skills are in demand?. European Radiology. 34(1). 708–714. 1 indexed citations
11.
Yakar, Derya, et al.. (2022). Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis Staging. Diagnostics. 12(2). 550–550. 16 indexed citations
12.
Kwee, Robert M., Hugo J.A. Adams, & Thomas C. Kwee. (2021). Diagnostic Performance of CO-RADS and the RSNA Classification System in Evaluating COVID-19 at Chest CT: A Meta-Analysis. Radiology Cardiothoracic Imaging. 3(1). e200510–e200510. 22 indexed citations
13.
Arita, Yuki, Soichiro Yoshida, Yuma Waseda, et al.. (2021). Diagnostic value of computed high b-value whole‐body diffusion-weighted imaging for primary prostate cancer. European Journal of Radiology. 137. 109581–109581. 12 indexed citations
14.
Kwee, Robert M., Hugo J.A. Adams, & Thomas C. Kwee. (2021). Pulmonary embolism in patients with COVID-19 and value of D-dimer assessment: a meta-analysis. European Radiology. 31(11). 8168–8186. 40 indexed citations
15.
Kwee, Thomas C., et al.. (2021). Funding of nuclear medicine research and association with citation impact. Clinical and Translational Imaging. 9(2). 123–127. 2 indexed citations
16.
Kwee, Robert M. & Thomas C. Kwee. (2021). Communication and empathy skills: Essential requisites for patient-centered radiology care. European Journal of Radiology. 140. 109754–109754. 13 indexed citations
17.
18.
Lauri, Chiara, Andor W.J.M. Glaudemans, Giuseppe Campagna, et al.. (2020). Comparison of White Blood Cell Scintigraphy, FDG PET/CT and MRI in Suspected Diabetic Foot Infection: Results of a Large Retrospective Multicenter Study. Journal of Clinical Medicine. 9(6). 1645–1645. 32 indexed citations
19.
Kwee, Thomas C. & Robert M. Kwee. (2020). Chest CT in COVID-19: What the Radiologist Needs to Know. Radiographics. 40(7). 1848–1865. 273 indexed citations
20.
Kwee, Robert M. & Thomas C. Kwee. (2019). Systematic review and meta-analysis of MRI signs for diagnosis of idiopathic intracranial hypertension. European Journal of Radiology. 116. 106–115. 76 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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