Fanny Orlhac
About
Fanny Orlhac is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Fanny Orlhac has authored 48 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fanny Orlhac's work include Radiomics and Machine Learning in Medical Imaging (48 papers), Medical Imaging Techniques and Applications (21 papers) and MRI in cancer diagnosis (17 papers). Fanny Orlhac is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (48 papers), Medical Imaging Techniques and Applications (21 papers) and MRI in cancer diagnosis (17 papers). Fanny Orlhac collaborates with scholars based in France, Belgium and Netherlands. Fanny Orlhac's co-authors include Irène Buvat, Michaël Soussan, Christophe Nioche, Frédérique Frouin, Sarah Boughdad, Sylvain Reuzé, Charlotte Robert, Jessica Goya-Outi, Claire Pellot‐Barakat and Nicholas Ayache and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.
In The Last Decade
Fanny Orlhac
45 papers receiving 3.1k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Fanny Orlhac France | 21 | 2.9k | 914 | 833 | 499 | 373 | 48 | 3.1k | ||
| Florent Tixier France | 22 | 2.7k 1.0× | 908 1.0× | 757 0.9× | 548 1.1× | 306 0.8× | 56 | 3.0k | ||
| Catherine Cheze Le Rest France | 29 | 3.9k 1.3× | 1.1k 1.2× | 1.1k 1.3× | 516 1.0× | 336 0.9× | 74 | 4.2k | ||
| Stephanie Tanadini‐Lang Switzerland | 36 | 3.0k 1.0× | 2.1k 2.3× | 812 1.0× | 599 1.2× | 317 0.8× | 163 | 4.7k | ||
| Sylvain Reuzé France | 12 | 1.7k 0.6× | 565 0.6× | 436 0.5× | 372 0.7× | 232 0.6× | 18 | 2.0k | ||
| Ronald Boellard Netherlands | 4 | 3.8k 1.3× | 1.4k 1.6× | 1000 1.2× | 703 1.4× | 599 1.6× | 4 | 4.2k | ||
| Cuishan Liang China | 11 | 2.2k 0.8× | 1.0k 1.1× | 610 0.7× | 755 1.5× | 273 0.7× | 14 | 2.7k | ||
| Tim Lustberg Netherlands | 11 | 3.8k 1.3× | 1.5k 1.6× | 1.0k 1.2× | 743 1.5× | 570 1.5× | 17 | 4.3k | ||
| Zelan Ma China | 12 | 2.3k 0.8× | 1.1k 1.2× | 630 0.8× | 795 1.6× | 264 0.7× | 18 | 2.8k | ||
| Martin Vallières Canada | 22 | 3.0k 1.0× | 1.1k 1.2× | 816 1.0× | 405 0.8× | 567 1.5× | 48 | 3.3k | ||
| Nicole Aucoin United States | 3 | 3.8k 1.3× | 1.4k 1.6× | 1.1k 1.3× | 622 1.2× | 579 1.6× | 3 | 4.2k |
Countries citing papers authored by Fanny Orlhac
Since
Specialization
Citations
This map shows the geographic impact of Fanny Orlhac'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 Fanny Orlhac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanny Orlhac more than expected).
Fields of papers citing papers by Fanny Orlhac
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Fanny Orlhac. 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 Fanny Orlhac. The network helps show where Fanny Orlhac may publish in the future.
Co-authorship network of co-authors of Fanny Orlhac
This figure shows the co-authorship network connecting the top 25 collaborators of Fanny Orlhac. A scholar is included among the top collaborators of Fanny Orlhac 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 Fanny Orlhac. Fanny Orlhac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Lerousseau, Marvin, Fanny Orlhac, Christine Lonjou, et al.. (2025). Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer. Nature Communications. 16(1). 614–614.
2.
Nioche, Christophe, Romain‐David Seban, Nina Jehanno, et al.. (2025). Comparison of organ volumes and standardized uptake values in [18F]FDG‐PET/CT images using MOOSE and TotalSegmentator to segment CT images. Medical Physics. 52(10). e70025–e70025.
3.
Boellaard, Ronald, Gerben J.C. Zwezerijnen, Irène Buvat, et al.. (2025). Measuring Total Metabolic Tumor Volume from18F-FDG PET: A Reality Check. Journal of Nuclear Medicine. 66(5). 802–805.
4.
Orlhac, Fanny, et al.. (2024). RadShap: An Explanation Tool for Highlighting the Contributions of Multiple Regions of Interest to the Prediction of Radiomic Models. Journal of Nuclear Medicine. 65(8). 1307–1312.
5.
Beddok, Arnaud, Fanny Orlhac, Laura Rozenblum, et al.. (2024). Radiomics-driven personalized radiotherapy for primary and recurrent tumors: A general review with a focus on reirradiation. Cancer/Radiothérapie. 28(6-7). 597–602.
6.
Koçak, Burak, Bettina Baeßler, Spyridon Bakas, et al.. (2023). CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII. Insights into Imaging. 14(1). 75–75.
7.
Frouin, Frédérique, et al.. (2022). Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI. European Radiology. 33(2). 959–969.
8.
Chardin, David, et al.. (2022). Development and validation of a radiomic model for the diagnosis of dopaminergic denervation on [18F]FDOPA PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 49(11). 3787–3796.
9.
Beddok, Arnaud, Fanny Orlhac, Valentin Calugaru, et al.. (2022). [18F]-FDG PET and MRI radiomic signatures to predict the risk and the location of tumor recurrence after re-irradiation in head and neck cancer. European Journal of Nuclear Medicine and Molecular Imaging. 50(2). 559–571.
10.
Orlhac, Fanny, Christophe Nioche, Ivan S. Klyuzhin, Arman Rahmim, & Irène Buvat. (2021). Radiomics in PET Imaging. PET Clinics. 16(4). 597–612.
11.
Orlhac, Fanny, Jakoba J. Eertink, Anne‐Ségolène Cottereau, et al.. (2021). A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies. Journal of Nuclear Medicine. 63(2). 172–179.
12.
Bourhis, David, Fanny Orlhac, Philippe Robin, et al.. (2019). Inter-observer and segmentation method variability of textural analysis in pre-therapeutic FDG PET/CT in head and neck cancer. PLoS ONE. 14(3). e0214299–e0214299.
13.
Orlhac, Fanny, et al.. (2019). Identification of a radiomic signature to distinguish recurrence from radiation-induced necrosis in treated glioblastomas using machine learning methods on dual-point 18F-FDOPA PET images. 60. 57–57.
14.
Nioche, Christophe, Fanny Orlhac, Sarah Boughdad, et al.. (2018). LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity. Cancer Research. 78(16). 4786–4789.
15.
Goya-Outi, Jessica, Fanny Orlhac, Raphaël Calmon, et al.. (2018). Computation of reliable textural indices from multimodal brain MRI: suggestions based on a study of patients with diffuse intrinsic pontine glioma. Physics in Medicine and Biology. 63(10). 105003–105003.
16.
Reuzé, Sylvain, Roger Sun, Fanny Orlhac, et al.. (2018). PV-0528: An innovative MRI harmonization method allowing large scale radiomics analysis in glioblastoma. Radiotherapy and Oncology. 127. S280–S281.
17.
Reuzé, Sylvain, Antoine Schernberg, Fanny Orlhac, et al.. (2018). Radiomics in Nuclear Medicine Applied to Radiation Therapy: Methods, Pitfalls, and Challenges. International Journal of Radiation Oncology*Biology*Physics. 102(4). 1117–1142.
18.
Schernberg, Antoine, Sylvain Reuzé, Fanny Orlhac, et al.. (2017). A score combining baseline neutrophilia and primary tumor SUVpeak measured from FDG PET is associated with outcome in locally advanced cervical cancer. European Journal of Nuclear Medicine and Molecular Imaging. 45(2). 187–195.
19.
Orlhac, Fanny, Michaël Soussan, Kader Chouahnia, Emmanuel Martinod, & Irène Buvat. (2015). 18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer. PLoS ONE. 10(12). e0145063–e0145063.
20.
Soussan, Michaël, Fanny Orlhac, Marouane Boubaya, et al.. (2014). Relationship between Tumor Heterogeneity Measured on FDG-PET/CT and Pathological Prognostic Factors in Invasive Breast Cancer. PLoS ONE. 9(4). e94017–e94017.
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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