Mathieu Queneau

722 total citations
21 papers, 333 citations indexed

About

Mathieu Queneau is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Neurology. According to data from OpenAlex, Mathieu Queneau has authored 21 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 8 papers in Neurology. Recurrent topics in Mathieu Queneau's work include Cardiac Imaging and Diagnostics (9 papers), Advanced X-ray and CT Imaging (9 papers) and Medical Imaging Techniques and Applications (8 papers). Mathieu Queneau is often cited by papers focused on Cardiac Imaging and Diagnostics (9 papers), Advanced X-ray and CT Imaging (9 papers) and Medical Imaging Techniques and Applications (8 papers). Mathieu Queneau collaborates with scholars based in France, Martinique and Canada. Mathieu Queneau's co-authors include Karim Farid, Claire Paquet, Jacques Hugon, David Lussato, Bernard Songy, G. Bonardel, Pierre Decazes, Sébastien Hapdey, Frank Bellivier and J. Coulot and has published in prestigious journals such as Stroke, European Journal of Nuclear Medicine and Molecular Imaging and Journal of Neurology.

In The Last Decade

Mathieu Queneau

20 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Queneau France 8 173 113 59 57 51 21 333
Nan Mei China 8 375 2.2× 117 1.0× 119 2.0× 95 1.7× 102 2.0× 24 546
Anling Xiao China 5 370 2.1× 80 0.7× 119 2.0× 90 1.6× 102 2.0× 12 475
Yajing Zhao China 7 375 2.2× 88 0.8× 119 2.0× 90 1.6× 100 2.0× 15 493
Christopher V. Anstine United States 7 102 0.6× 42 0.4× 32 0.5× 23 0.4× 21 0.4× 9 263
Adriana Azor United Kingdom 6 151 0.9× 37 0.3× 39 0.7× 27 0.5× 45 0.9× 8 254
Abby C. Larson United States 8 183 1.1× 76 0.7× 7 0.1× 15 0.3× 33 0.6× 16 369
Matthieu Doyen France 8 99 0.6× 53 0.5× 8 0.1× 11 0.2× 13 0.3× 32 243
Silvia Lucchini Italy 12 67 0.4× 138 1.2× 6 0.1× 15 0.3× 20 0.4× 26 415
Javier Sayas Catalán Spain 10 139 0.8× 15 0.1× 29 0.5× 47 0.8× 37 0.7× 43 346
Erzsébet Ezer Hungary 7 290 1.7× 61 0.5× 7 0.1× 29 0.5× 19 0.4× 16 409

Countries citing papers authored by Mathieu Queneau

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Queneau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Queneau

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Queneau. A scholar is included among the top collaborators of Mathieu Queneau 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 Mathieu Queneau. Mathieu Queneau 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.
Bonardel, G., Pierre Decazes, Mathieu Queneau, et al.. (2022). Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the standard acquisition. EJNMMI Physics. 9(1). 36–36. 19 indexed citations
2.
Hugon, Jacques, et al.. (2022). Cognitive decline and brainstem hypometabolism in long COVID: A case series. Brain and Behavior. 12(4). e2513–e2513. 46 indexed citations
3.
Hugon, Jacques, et al.. (2021). Long COVID: cognitive complaints (brain fog) and dysfunction of the cingulate cortex. Journal of Neurology. 269(1). 44–46. 128 indexed citations
4.
Queneau, Mathieu, M. Rodallec, Brigitte Landeau, et al.. (2021). Brain Glucose Metabolism in Cerebral Amyloid Angiopathy. Stroke. 52(4). 1478–1482. 5 indexed citations
5.
Queneau, Mathieu, M. Rodallec, Emmanuel Curis, et al.. (2021). [18F]FDG PET may differentiate cerebral amyloid angiopathy from Alzheimer’s disease. European Journal of Neurology. 28(5). 1511–1519. 9 indexed citations
6.
Lussato, David, et al.. (2020). Ventilation/perfusion SPECT/CT findings in different lung lesions associated with COVID-19: a case series. European Journal of Nuclear Medicine and Molecular Imaging. 47(10). 2453–2460. 29 indexed citations
7.
Paquet, Claire, Emmanuel Cognat, Mathieu Queneau, et al.. (2019). Brain 18FDG-PET pattern in patients with alcohol-related cognitive impairment. European Journal of Nuclear Medicine and Molecular Imaging. 47(2). 281–291. 19 indexed citations
8.
Songy, Bernard, et al.. (2018). Feasibility of simultaneous dual isotope acquisition for myocardial perfusion imaging with a cadmium zinc telluride camera. Journal of Nuclear Cardiology. 27(3). 737–747. 2 indexed citations
9.
Seban, Romain‐David, et al.. (2017). The Use of FDG PET-CT Imaging for the Assessment of Early Antifungal Treatment Response in Disseminated Fusariosis. Clinical Nuclear Medicine. 42(7). 569–570. 5 indexed citations
10.
Songy, Bernard, et al.. (2016). Prognostic value of one millisievert exercise myocardial perfusion imaging in patients without known coronary artery disease. Journal of Nuclear Cardiology. 25(1). 120–130. 6 indexed citations
11.
Songy, Bernard, et al.. (2016). Prognostic value of normal ultra-low-dose one millisievert myocardial perfusion imaging with CZT cameras: Prospective study in 1288 patients with 39-months follow-up. 57. 1663–1663. 1 indexed citations
12.
Lussato, David, et al.. (2015). Secondary Hyperparathyroidism With “Superscan-Like” Hypermetabolic FDG PET/CT Pattern. Clinical Nuclear Medicine. 40(11). 888–889. 7 indexed citations
13.
Songy, Bernard, et al.. (2012). Low-dose thallium-201 protocol with a cadmium–zinc–telluride cardiac camera. Nuclear Medicine Communications. 33(5). 464–469. 15 indexed citations
14.
Songy, Bernard, et al.. (2012). 025 Very low dose myocardial perfusion imaging with 1 mSv using cadmium-zinc-telluride (CZT) cameras and Tc99m-sestamibi. Archives of Cardiovascular Diseases Supplements. 4(1). 9–9. 1 indexed citations
15.
Farid, Karim, et al.. (2012). First Experience DaTSCAN Imaging Using Cadmium-Zinc-Telluride Gamma Camera SPECT. Clinical Nuclear Medicine. 37(8). e211–e212. 2 indexed citations
16.
Songy, Bernard, et al.. (2011). 024 Validation with thallium 201 of a new cadmium-zinc-telluride (CZT) cardiac camera. Archives of Cardiovascular Diseases Supplements. 3(1). 8–8.
17.
Farid, Karim, et al.. (2011). Brain SPECT Thallium Using Cadmium Zinc Telluride. Clinical Nuclear Medicine. 36(11). e178–e179. 2 indexed citations
18.
Songy, Bernard, et al.. (2011). Comparison of Myocardial Perfusion Imaging Using Thallium-201 Between a New Cadmium-Zinc-Telluride Cardiac Camera and a Conventional SPECT Camera. Clinical Nuclear Medicine. 36(9). 776–780. 31 indexed citations
19.
Songy, Bernard, et al.. (2011). 025 Validation of a “low dose thallium 201 protocol” with a cadmium-zinc-telluride (CZT) cardiac camera. Archives of Cardiovascular Diseases Supplements. 3(1). 8–8. 1 indexed citations
20.
Rouzet, François, Renata Chequer, David Lussato, et al.. (2011). Impact dosimétrique des gamma-caméras de nouvelle génération en cardiologie nucléaire. Médecine Nucléaire. 35(7). 421–431. 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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