Arnaud Guidon

1.4k total citations
30 papers, 1.0k citations indexed

About

Arnaud Guidon is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Arnaud Guidon has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Cognitive Neuroscience and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Arnaud Guidon's work include Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (19 papers) and MRI in cancer diagnosis (13 papers). Arnaud Guidon is often cited by papers focused on Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (19 papers) and MRI in cancer diagnosis (13 papers). Arnaud Guidon collaborates with scholars based in United States, Spain and France. Arnaud Guidon's co-authors include Chunlei Liu, Allen W. Song, Wei Li, Bing Wu, Hing‐Chiu Chang, Nan‐kuei Chen, Trong‐Kha Truong, David C. Alsop, Manuel Taso and Alexandru Avram and has published in prestigious journals such as PLoS ONE, NeuroImage and Radiology.

In The Last Decade

Arnaud Guidon

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Guidon United States 14 904 187 81 72 57 30 1.0k
Chekesha S. Clingman United States 8 996 1.1× 175 0.9× 70 0.9× 151 2.1× 45 0.8× 9 1.2k
Nian Wang United States 20 837 0.9× 225 1.2× 201 2.5× 62 0.9× 59 1.0× 38 1.3k
Alexandru Avram United States 16 931 1.0× 277 1.5× 154 1.9× 60 0.8× 104 1.8× 42 1.1k
Karsten Sommer Germany 8 824 0.9× 185 1.0× 217 2.7× 73 1.0× 65 1.1× 11 1.1k
Qiuyun Fan United States 20 908 1.0× 203 1.1× 102 1.3× 49 0.7× 36 0.6× 48 1.1k
Sagar Buch United States 16 832 0.9× 186 1.0× 244 3.0× 77 1.1× 50 0.9× 35 1.2k
Jianlin Wu China 7 540 0.6× 84 0.4× 108 1.3× 66 0.9× 45 0.8× 21 763
Russell Dibb United States 13 517 0.6× 176 0.9× 84 1.0× 41 0.6× 22 0.4× 15 737
Xiang He United States 16 975 1.1× 176 0.9× 81 1.0× 145 2.0× 102 1.8× 28 1.2k
Cynthia Wisnieff United States 8 949 1.0× 188 1.0× 170 2.1× 121 1.7× 83 1.5× 9 1.2k

Countries citing papers authored by Arnaud Guidon

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Guidon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Guidon

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Guidon. A scholar is included among the top collaborators of Arnaud Guidon 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 Arnaud Guidon. Arnaud Guidon 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.
Wang, Kang, Andreas M. Loening, Ali Syed, et al.. (2025). Motion-Compensated Multishot Pancreatic Diffusion-Weighted Imaging With Deep Learning–Based Denoising. Investigative Radiology. 60(7). 444–453.
2.
3.
Moran, Catherine J., et al.. (2024). Tissue-Independent SNR Measurement for Supine Breast Coil Assessment. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
4.
Munsch, Fanny, Gopal Varma, Manuel Taso, et al.. (2020). Characterization of the cortical myeloarchitecture with inhomogeneous magnetization transfer imaging (ihMT). NeuroImage. 225. 117442–117442. 21 indexed citations
5.
Varma, Gopal, Fanny Munsch, Brian Burns, et al.. (2020). Three‐dimensional inhomogeneous magnetization transfer with rapid gradient‐echo (3D ihMTRAGE) imaging. Magnetic Resonance in Medicine. 84(6). 2964–2980. 12 indexed citations
6.
Munsch, Fanny, Manuel Taso, Li Zhao, et al.. (2020). Rotated spiral RARE for high spatial and temporal resolution volumetric arterial spin labeling acquisition. NeuroImage. 223. 117371–117371. 7 indexed citations
7.
Naranjo, Isaac Daimiel, Roberto Lo Gullo, Elizabeth A. Morris, et al.. (2020). High-Spatial-Resolution Multishot Multiplexed Sensitivity-encoding Diffusion-weighted Imaging for Improved Quality of Breast Images and Differentiation of Breast Lesions: A Feasibility Study. Radiology Imaging Cancer. 2(3). e190076–e190076. 20 indexed citations
8.
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Zhang, Yuxin, et al.. (2018). Quantitative diffusion MRI using reduced field-of-view and multi-shot acquisition techniques: Validation in phantoms and prostate imaging. Magnetic Resonance Imaging. 51. 173–181. 14 indexed citations
10.
Taso, Manuel, Arnaud Guidon, Li Zhao, Koenraad J. Mortelé, & David C. Alsop. (2018). Pancreatic perfusion and arterial‐transit‐time quantification using pseudocontinuous arterial spin labeling at 3T. Magnetic Resonance in Medicine. 81(1). 542–550. 6 indexed citations
11.
Tan, Ek T., Christopher J. Hardy, Yunhong Shu, et al.. (2017). Reduced acoustic noise in diffusion tensor imaging on a compact MRI system. Magnetic Resonance in Medicine. 79(6). 2902–2911. 7 indexed citations
12.
Song, Allen W., Hing‐Chiu Chang, Christopher Petty, Arnaud Guidon, & Nan‐kuei Chen. (2014). Improved Delineation of Short Cortical Association Fibers and Gray/White Matter Boundary Using Whole-Brain Three-Dimensional Diffusion Tensor Imaging at Submillimeter Spatial Resolution. Brain Connectivity. 4(9). 636–640. 35 indexed citations
13.
Truong, Trong‐Kha, Arnaud Guidon, & Allen W. Song. (2014). Cortical Depth Dependence of the Diffusion Anisotropy in the Human Cortical Gray Matter In Vivo. PLoS ONE. 9(3). e91424–e91424. 33 indexed citations
14.
Guidon, Arnaud, et al.. (2014). The Alzheimer Structural Connectome: Changes in Cortical Network Topology with Increased Amyloid Plaque Burden. Radiology. 273(1). 175–184. 59 indexed citations
15.
Chen, Nan‐kuei, Arnaud Guidon, Hing‐Chiu Chang, & Allen W. Song. (2013). A robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE). NeuroImage. 72. 41–47. 266 indexed citations
16.
17.
Wei, Qinling, Zhuang Kang, Arnaud Guidon, et al.. (2012). No association of ZNF804A rs1344706 with white matter integrity in schizophrenia: A tract-based spatial statistics study. Neuroscience Letters. 532. 64–69. 17 indexed citations
18.
Mani, Merry, Mathews Jacob, Arnaud Guidon, Vincent A. Magnotta, & Jianhui Zhong. (2012). Accelerating non-Cartesian sense for large coil arrays: Application to motion compensation in multishot DWI. 13. 406–409. 2 indexed citations
19.
Wu, Bing, Wei Li, Arnaud Guidon, & Chunlei Liu. (2011). Whole brain susceptibility mapping using compressed sensing. Magnetic Resonance in Medicine. 67(1). 137–147. 340 indexed citations
20.
Avram, Alexandru, Arnaud Guidon, & Allen W. Song. (2010). Myelin water weighted diffusion tensor imaging. NeuroImage. 53(1). 132–138. 28 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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