Gurvan Dissaux

633 total citations
35 papers, 442 citations indexed

About

Gurvan Dissaux is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Gurvan Dissaux has authored 35 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 14 papers in Genetics. Recurrent topics in Gurvan Dissaux's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Glioma Diagnosis and Treatment (14 papers) and Medical Imaging Techniques and Applications (10 papers). Gurvan Dissaux is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Glioma Diagnosis and Treatment (14 papers) and Medical Imaging Techniques and Applications (10 papers). Gurvan Dissaux collaborates with scholars based in France, United Kingdom and Brazil. Gurvan Dissaux's co-authors include Ulrike Schick, Olivier Pradier, François Lucia, Vincent Bourbonne, Mathieu Hatt, Dimitris Visvikis, Ingrid Masson, Ronrick Da‐ano, Ronan Abgral and Maria-Joao Santiago Ribeiro and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Medicine and Journal of Nuclear Medicine.

In The Last Decade

Gurvan Dissaux

32 papers receiving 436 citations

Peers

Gurvan Dissaux
Johannes Roesch Germany
Michael Dohopolski United States
Michal Devečka Germany
Indrawati Hadi Germany
Chee‐Wai Cheng United States
Willem Grootjans Netherlands
Kerstin Siebenlist Germany
Rocchina Caivano Italy
Khaled Bousabarah United States
Johannes Roesch Germany
Gurvan Dissaux
Citations per year, relative to Gurvan Dissaux Gurvan Dissaux (= 1×) peers Johannes Roesch

Countries citing papers authored by Gurvan Dissaux

Since Specialization
Citations

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

Fields of papers citing papers by Gurvan Dissaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurvan Dissaux

This figure shows the co-authorship network connecting the top 25 collaborators of Gurvan Dissaux. A scholar is included among the top collaborators of Gurvan Dissaux 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 Gurvan Dissaux. Gurvan Dissaux 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.
Marchi, Luís, Alain Yves Le Roux, Alexis Perrot, et al.. (2025). Improving Diagnostic Robustness of Perfusion MRI in Brain Metastases: A Focus on 3D ROI Techniques and Automatic Thresholding. Cancers. 17(13). 2085–2085.
2.
Dissaux, Gurvan, Olivier Pradier, S. Querellou, et al.. (2024). Survival impact of early MRI progression after stereotactic radiotherapy for brain metastases. Cancer Communications. 45(3). 215–217.
3.
Bourbonne, Vincent, Gurvan Dissaux, Olivier Pradier, et al.. (2023). Re-Irradiation by Stereotactic Radiotherapy of Brain Metastases in the Case of Local Recurrence. Cancers. 15(3). 996–996. 6 indexed citations
4.
Bourhis, David, Gurvan Dissaux, Ulrike Schick, et al.. (2022). Hotspot on 18F-FET PET/CT to Predict Aggressive Tumor Areas for Radiotherapy Dose Escalation Guiding in High-Grade Glioma. Cancers. 15(1). 98–98. 7 indexed citations
5.
Boussion, Nicolas, Ulrike Schick, Gurvan Dissaux, et al.. (2021). A machine-learning approach based on 409 treatments to predict optimal number of iodine-125 seeds in low-dose-rate prostate brachytherapy. Journal of Contemporary Brachytherapy. 13(5). 541–548. 4 indexed citations
6.
Caumont, Charline, Isabelle Quintin‐Roué, Elsa Magro, et al.. (2021). Detection of NTRK fusions in glioblastoma: fluorescent in situ hybridisation is more useful than pan-TRK immunohistochemistry as a screening tool prior to RNA sequencing. Pathology. 54(1). 55–62. 9 indexed citations
7.
Dissaux, Gurvan, F. Thillays, François Lucia, et al.. (2021). Radiotherapy of benign intracranial tumours. Cancer/Radiothérapie. 26(1-2). 137–146. 5 indexed citations
8.
Frau, Lucia, Vincent Bourbonne, Gurvan Dissaux, et al.. (2020). Radiomics Analysis of 3D Dose Distributions to Predict Toxicity of Radiotherapy for Cervical Cancer. International Journal of Radiation Oncology*Biology*Physics. 108(3). e474–e474. 3 indexed citations
9.
Bourbonne, Vincent, Ronrick Da‐ano, Vincent Jaouen, et al.. (2020). Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer. Radiotherapy and Oncology. 155. 144–150. 45 indexed citations
10.
Lucia, François, O. Miranda, Ronan Abgral, et al.. (2020). Use of Baseline 18F-FDG PET/CT to Identify Initial Sub-Volumes Associated With Local Failure After Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer. Frontiers in Oncology. 10. 678–678. 10 indexed citations
11.
Dissaux, Gurvan, Dorothy M. Gujral, Olivier Pradier, et al.. (2020). Radiotherapy target volume definition in newly diagnosed high grade glioma using 18F-FET PET imaging and multiparametric perfusion MRI: A prospective study (IMAGG). Radiotherapy and Oncology. 150. 164–171. 18 indexed citations
12.
Lucia, François, Vincent Bourbonne, Dorothy M. Gujral, et al.. (2020). Impact of suboptimal dosimetric coverage of pretherapeutic 18F-FDG PET/CT hotspots on outcome in patients with locally advanced cervical cancer treated with chemoradiotherapy followed by brachytherapy. Clinical and Translational Radiation Oncology. 23. 50–59. 1 indexed citations
13.
14.
Ollivier, Luc, François Lucia, Truong An Nguyen, et al.. (2020). Toxicity in patients treated with permanent prostate brachytherapy using intraoperatively built custom-linked seeds versus loose seeds. Journal of Contemporary Brachytherapy. 12(6). 547–553. 1 indexed citations
15.
Dissaux, Gurvan, Lucia Frau, Vincent Bourbonne, et al.. (2020). PO-1199: Rectal toxicity prostate cancer treated with Brachytherapy: a radiomics-machine learning based NTCP. Radiotherapy and Oncology. 152. S631–S632. 1 indexed citations
16.
Dissaux, Gurvan, Dimitris Visvikis, Ronrick Da‐ano, et al.. (2019). Pretreatment 18F-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non–Small Cell Lung Cancer: A Multicentric Study. Journal of Nuclear Medicine. 61(6). 814–820. 137 indexed citations
17.
Bourbonne, Vincent, René‐Jean Bensadoun, Gurvan Dissaux, et al.. (2019). Radiotherapy mucositis in head and neck cancer: prevention by low-energy surface laser. BMJ Supportive & Palliative Care. 12(e6). e838–e845. 10 indexed citations
18.
Lucia, François, et al.. (2018). Inhomogeneous tumor dose distribution provides better local control than homogeneous distribution in stereotactic radiotherapy for brain metastases. Radiotherapy and Oncology. 130. 132–138. 45 indexed citations
19.
20.
Robin, Philippe, David Bourhis, Gurvan Dissaux, et al.. (2017). Target definition in salvage postoperative radiotherapy for prostate cancer: 18F-fluorocholine PET/CT assessment of local recurrence. Acta Oncologica. 57(3). 375–381. 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

Breakdown of academic impact, for papers by Johannes Roesch Breakdown of academic impact, for papers by Michael Dohopolski Breakdown of academic impact, for papers by Michal Devečka Breakdown of academic impact, for papers by Indrawati Hadi Breakdown of academic impact, for papers by Chee‐Wai Cheng Breakdown of academic impact, for papers by Willem Grootjans Breakdown of academic impact, for papers by Kerstin Siebenlist Breakdown of academic impact, for papers by Rocchina Caivano Breakdown of academic impact, for papers by Khaled Bousabarah
Rankless by CCL
2026