Florent L. Besson

2.4k total citations · 1 hit paper
66 papers, 1.5k citations indexed

About

Florent L. Besson is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Florent L. Besson has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Florent L. Besson's work include Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Vasculitis and related conditions (6 papers). Florent L. Besson is often cited by papers focused on Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Vasculitis and related conditions (6 papers). Florent L. Besson collaborates with scholars based in France, United States and Switzerland. Florent L. Besson's co-authors include Riemer H. J. A. Slart, Bhaskar Dasgupta, Jean‐Jacques Parienti, Wolfgang Schmidt, Cristina Ponte, Boris Bienvenu, G. Bouvard, Andreas P. Diamantopoulos, Christina Duftner and Daniël Blockmans and has published in prestigious journals such as Journal of Neuroscience, Neurology and Radiology.

In The Last Decade

Florent L. Besson

62 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EULAR recommendations for the use of imaging in large vessel vasculitis in clinical practice

2018 577 citations Florent L. Besson, Riemer H. J. A. Slart et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florent L. Besson France	16	790	534	355	200	140	66	1.5k
Tohru Takeuchi Japan	23	433 0.5×	667 1.2×	151 0.4×	54 0.3×	97 0.7×	128	1.8k
Tetsuya Shinozaki Japan	27	806 1.0×	800 1.5×	217 0.6×	276 1.4×	655 4.7×	126	2.6k
D. Laroche France	20	110 0.1×	205 0.4×	228 0.6×	54 0.3×	104 0.7×	61	1.5k
Hui Luo China	30	317 0.4×	299 0.6×	103 0.3×	68 0.3×	169 1.2×	147	3.3k
B Delcambre France	26	416 0.5×	603 1.1×	258 0.7×	61 0.3×	1.1k 7.6×	163	2.4k
James Fletcher United States	21	2.2k 2.8×	145 0.3×	73 0.2×	1.8k 8.8×	445 3.2×	73	4.4k
Qing Shang China	22	207 0.3×	502 0.9×	90 0.3×	55 0.3×	104 0.7×	98	1.5k
Conor McCarthy Ireland	20	162 0.2×	364 0.7×	50 0.1×	139 0.7×	477 3.4×	85	1.7k
Oded Zmora Israel	40	549 0.7×	597 1.1×	102 0.3×	69 0.3×	3.0k 21.3×	135	4.5k
Jinhong Zhu China	34	475 0.6×	101 0.2×	182 0.5×	46 0.2×	590 4.2×	180	4.6k

Countries citing papers authored by Florent L. Besson

Since Specialization

Citations

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

Fields of papers citing papers by Florent L. Besson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florent L. Besson. 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 Florent L. Besson. The network helps show where Florent L. Besson may publish in the future.

Co-authorship network of co-authors of Florent L. Besson

This figure shows the co-authorship network connecting the top 25 collaborators of Florent L. Besson. A scholar is included among the top collaborators of Florent L. Besson 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 Florent L. Besson. Florent L. Besson 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

Brambilla, Marta, Nicola Cosentino, Patrizia Della Valle, et al.. (2025). Tissue Factor, a Membrane-associated Marker of Platelet Activation, Predicts 5-year Cardiovascular Mortality in Coronary Artery Disease Patients. Thrombosis and Haemostasis. 1 indexed citations

Faure, Sylvain, A. Paillet, Claude Comtat, & Florent L. Besson. (2025). Fast 4D-PET parametric imaging computation at the whole field of view level: Reliability under simulated conditions of PET KinetiX, a dedicated software solution. European Journal of Nuclear Medicine and Molecular Imaging. 52(11). 4065–4077.

Allassonnière, Stéphanie, et al.. (2024). Exploring de-anonymization risks in PET imaging: Insights from a comprehensive analysis of 853 patient scans. Scientific Data. 11(1). 932–932.

Besson, Florent L., Giorgio Treglia, Jan Bucerius, et al.. (2024). A systematic review for the evidence of recommendations and guidelines in hybrid nuclear cardiovascular imaging. European Journal of Nuclear Medicine and Molecular Imaging. 51(8). 2247–2259. 2 indexed citations

Besson, Florent L. & Sylvain Faure. (2024). PET KinetiX—A Software Solution for PET Parametric Imaging at the Whole Field of View Level. Journal of Imaging Informatics in Medicine. 37(2). 842–850. 5 indexed citations

Chawki, Mohammad B., Lucas Goldfarb, Vincent Brulon, et al.. (2023). Relevance of 18F-DOPA visual and semi-quantitative PET metrics for the diagnostic of Parkinson disease in clinical practice: a machine learning-based inference study. EJNMMI Research. 13(1). 6 indexed citations

Besson, Florent L., Gaëtane Nocturne, Nicolas Noël, et al.. (2023). PET/CT in Inflammatory and Auto-immune Disorders: Focus on Several Key Molecular Concepts, FDG, and Radiolabeled Probe Perspectives. Seminars in Nuclear Medicine. 54(3). 379–393. 4 indexed citations

Delingette, Hervé, Christel Daniel, Patricia Martel, et al.. (2023). Performance of AI-Based Automated Classifications of Whole-Body FDG PET in Clinical Practice: The CLARITI Project. Applied Sciences. 13(9). 5281–5281. 2 indexed citations

Gheysens, Olivier, et al.. (2023). [18F]FDG-PET/CT in Polymyalgia Rheumatica: An Update and Future Aspects. Seminars in Nuclear Medicine. 54(3). 371–378. 3 indexed citations

10.

Rodrigo, S., Delphine Taussig, Fabien Caillé, et al.. (2023). [ ¹⁸ F]DPA-714 PET Imaging in the Presurgical Evaluation of Patients With Drug-Resistant Focal Epilepsy. Neurology. 101(19). e1893–e1904. 8 indexed citations

11.

Goutal, Sébastien, Mikhail Kondrashov, Florent L. Besson, et al.. (2022). Isotopic Radiolabeling of Crizotinib with Fluorine-18 for In Vivo Pet Imaging. Pharmaceuticals. 15(12). 1568–1568. 2 indexed citations

12.

Ferlicot, Sophie, L. Rocher, Florent L. Besson, et al.. (2022). Renal involvement of lymphomas proven by kidney biopsy: report of 10 cases from a tertiary care center and comparison with the literature. International Journal of Hematology. 116(5). 678–695. 1 indexed citations

13.

Séror, Raphaèle, et al.. (2022). 18F-FDG PET molecular imaging: A relevant tool to investigate chronic inflammatory rheumatisms in clinical practice?. Frontiers in Medicine. 9. 1070445–1070445. 6 indexed citations

14.

Besson, Florent L., Brice Fernandez, Sylvain Faure, et al.. (2020). Diffusion-weighted Imaging Voxelwise-matched Analyses of Lung Cancer at 3.0-T PET/MRI: Reverse Phase Encoding Approach for Echo-planar Imaging Distortion Correction. Radiology. 295(3). 692–700. 6 indexed citations

15.

Menthon, Mathilde de, et al.. (2019). 18F-FDG PET/CT of sarcoidosis with extensive cutaneous and subcutaneous nodules: the snow leopard sign. European Journal of Nuclear Medicine and Molecular Imaging. 46(9). 1980–1981. 6 indexed citations

16.

Rozenblum, Laura, Fatima‐Zohra Mokrane, Randy Yeh, et al.. (2019). Imaging-guided precision medicine in non-resectable gastro-entero-pancreatic neuroendocrine tumors: A step-by-step approach. European Journal of Radiology. 122. 108743–108743. 8 indexed citations

17.

Besson, Florent L., Elise M. Blanchet, G. Grimon, et al.. (2018). Rapid Contour-based Segmentation for ¹⁸F-FDG PET Imaging of Lung Tumors by Using ITK-SNAP: Comparison to Expert-based Segmentation. Radiology. 288(1). 277–284. 24 indexed citations

18.

Henry, Julien, et al.. (2017). 18F-FDG PET/CT of extensive rheumatoid nodulosis. European Journal of Nuclear Medicine and Molecular Imaging. 44(13). 2333–2334. 2 indexed citations

19.

Fouquet, Marine, Florent L. Besson, Julie Gonneaud, Renaud La Joie, & Gaël Chételat. (2014). Imaging Brain Effects of APOE4 in Cognitively Normal Individuals Across the Lifespan. Neuropsychology Review. 24(3). 290–299. 53 indexed citations

20.

Leymarie, Édouard, Antoine Poteau, Xavier André, et al.. (2013). Development and validation of the new ProvBioII float. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea). 3 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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