Thomas Guiot

1.1k total citations
30 papers, 765 citations indexed

About

Thomas Guiot is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thomas Guiot has authored 30 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thomas Guiot's work include Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Radiopharmaceutical Chemistry and Applications (10 papers). Thomas Guiot is often cited by papers focused on Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Radiopharmaceutical Chemistry and Applications (10 papers). Thomas Guiot collaborates with scholars based in Belgium, Netherlands and Italy. Thomas Guiot's co-authors include Patrick Flamen, Lieveke Ameye, Bruno Vanderlinden, Zéna Wimana, Alain Hendlisz, Daniëlle J. Vugts, Géraldine Gebhart, Camilo Garcia, N. Reynaert and Elisabeth G.E. de Vries and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Annals of Oncology.

In The Last Decade

Thomas Guiot

27 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Guiot Belgium	14	498	383	179	82	81	30	765
Quan‐Sing Ng Singapore	13	237 0.5×	256 0.7×	251 1.4×	42 0.5×	132 1.6×	17	770
Alessandra Alessi Italy	14	219 0.4×	206 0.5×	122 0.7×	28 0.3×	102 1.3×	39	572
Hui Wu China	13	218 0.4×	402 1.0×	226 1.3×	20 0.2×	81 1.0×	39	691
Somali Gavane United States	10	304 0.6×	348 0.9×	269 1.5×	38 0.5×	85 1.0×	22	1.1k
Gyu Sang Yoo South Korea	13	95 0.2×	203 0.5×	211 1.2×	180 2.2×	91 1.1×	56	541
Jumpei Kashima Japan	13	114 0.2×	233 0.6×	311 1.7×	31 0.4×	53 0.7×	41	566
Béatrice Fournier Belgium	9	237 0.5×	387 1.0×	533 3.0×	67 0.8×	107 1.3×	22	913
G. Jerusalem Belgium	4	396 0.8×	132 0.3×	236 1.3×	38 0.5×	93 1.1×	8	642
Naomi Campbell United States	11	252 0.5×	338 0.9×	247 1.4×	35 0.4×	85 1.0×	13	785
Serena Badellino Italy	18	199 0.4×	238 0.6×	522 2.9×	99 1.2×	42 0.5×	50	847

Countries citing papers authored by Thomas Guiot

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Guiot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Guiot

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

All Works

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20 of 20 papers shown

Dhont, Jennifer, Thomas Guiot, Hugo Levillain, et al.. (2025). Development and Validation of an ¹⁸ F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal Cancer. JCO Clinical Cancer Informatics. 9(9). e2400207–e2400207.

Guiot, Thomas, et al.. (2025). [177Lu]Lu-PSMA SPECT/CT for early response assessment using quantitative RECIP 1.0. European Journal of Nuclear Medicine and Molecular Imaging. 53(4). 2257–2270.

Casale, Roberto, Zohaib Salahuddin, Thomas Guiot, et al.. (2024). Development of Clinical Radiomics-Based Models to Predict Survival Outcome in Pancreatic Ductal Adenocarcinoma: A Multicenter Retrospective Study. Diagnostics. 14(7). 712–712. 1 indexed citations

Rediti, Mattia, Danai Fimereli, Zéna Wimana, et al.. (2024). Integrating Molecular Imaging and Transcriptomic Profiling in Advanced HER2-Positive Breast Cancer Receiving Trastuzumab Emtansine: An Analysis of the ZEPHIR Clinical Trial. Clinical Cancer Research. 31(1). 110–121. 3 indexed citations

Chao, Shih‐Li, Giacomo Bregni, Thomas Guiot, et al.. (2022). Pre-trial quality assurance of diffusion-weighted MRI for radiomic analysis and the role of harmonisation. Physica Medica. 103. 138–146. 5 indexed citations

Gombos, Andrea, David Venet, Lieveke Ameye, et al.. (2021). FDG positron emission tomography imaging and ctDNA detection as an early dynamic biomarker of everolimus efficacy in advanced luminal breast cancer. npj Breast Cancer. 7(1). 125–125. 14 indexed citations

Salvatore, Lisa, Federica Marmorino, Dario Genovesi, et al.. (2021). Combined Metabolically Active Tumor Volume and Early Metabolic Response Improve Outcome Prediction in Metastatic Colorectal Cancer. Journal of Nuclear Medicine. 63(4). 549–555. 6 indexed citations

Levillain, Hugo, Thomas Guiot, Ákos Gulybán, et al.. (2020). Combined quality and dose-volume histograms for assessing the predictive value of 99mTc-MAA SPECT/CT simulation for personalizing radioembolization treatment in liver metastatic colorectal cancer. EJNMMI Physics. 7(1). 75–75. 6 indexed citations

Gossum, A. Van, Lieveke Ameye, Thomas Guiot, et al.. (2020). Fat density is a novel prognostic marker in patients with esophageal cancer. Clinical Nutrition ESPEN. 39. 124–130. 16 indexed citations

10.

Levillain, Hugo, Lieveke Ameye, Thomas Guiot, et al.. (2019). Personalised radioembolization improves outcomes in refractory intra-hepatic cholangiocarcinoma: a multicenter study. European Journal of Nuclear Medicine and Molecular Imaging. 46(11). 2270–2279. 48 indexed citations

11.

Vandeputte, Caroline, Lieveke Ameye, Thomas Guiot, et al.. (2019). Combining ¹⁸F-FDG PET/CT–Based Metabolically Active Tumor Volume and Circulating Cell-Free DNA Significantly Improves Outcome Prediction in Chemorefractory Metastatic Colorectal Cancer. Journal of Nuclear Medicine. 60(10). 1366–1372. 11 indexed citations

12.

Vandeputte, Caroline, Lieveke Ameye, Thomas Guiot, et al.. (2019). Prognostic value of adipose tissue and muscle mass in advanced colorectal cancer: a post hoc analysis of two non-randomized phase II trials. BMC Cancer. 19(1). 134–134. 79 indexed citations

13.

Levillain, Hugo, Thomas Guiot, Michaël Vouche, et al.. (2018). 90Y-PET/CT-based dosimetry after selective internal radiation therapy predicts outcome in patients with liver metastases from colorectal cancer. EJNMMI Research. 8(1). 60–60. 40 indexed citations

14.

Vanderlinden, Bruno, Ioannis Karfis, Thomas Guiot, et al.. (2018). A dosimetry procedure for organs-at-risk in 177Lu peptide receptor radionuclide therapy of patients with neuroendocrine tumours. Physica Medica. 56. 41–49. 42 indexed citations

15.

Vanderlinden, Bruno, Ioannis Karfis, Thomas Guiot, et al.. (2017). Accuracy and precision assessment for activity quantification in individualized dosimetry of 177Lu-DOTATATE therapy. EJNMMI Physics. 4(1). 7–7. 22 indexed citations

16.

Hendlisz, Alain, Camilo Garcia, Amélie Deleporte, et al.. (2016). Monitoring metabolic response using FDG PET-CT during targeted therapy for metastatic colorectal cancer. European Journal of Nuclear Medicine and Molecular Imaging. 43(10). 1792–1801. 14 indexed citations

17.

Hendlisz, Alain, et al.. (2015). Regorafenib assessment in refractory advanced colorectal cancer: RegARd-C study protocol. BMJ Open. 5(3). e007189–e007189. 11 indexed citations

18.

Muylle, Kristoff, Patrick Flamen, Daniëlle J. Vugts, et al.. (2015). Tumour targeting and radiation dose of radioimmunotherapy with 90Y-rituximab in CD20+ B-cell lymphoma as predicted by 89Zr-rituximab immuno-PET: impact of preloading with unlabelled rituximab. European Journal of Nuclear Medicine and Molecular Imaging. 42(8). 1304–1314. 75 indexed citations

19.

Gebhart, Géraldine, Laetitia E. Lamberts, Zéna Wimana, et al.. (2015). Molecular imaging as a tool to investigate heterogeneity of advanced HER2-positive breast cancer and to predict patient outcome under trastuzumab emtansine (T-DM1): the ZEPHIR trial. Annals of Oncology. 27(4). 619–624. 265 indexed citations

20.

Bron, Dominique, Daniëlle J. Vugts, Marianne Paesmans, et al.. (2012). Safety and Efficacy of Radioimmunotherapy with 90Yttrium-rituximab in Patients with Relapsed CD20+ B cell Lymphoma: A Feasibility Study. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 2 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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