R. Marc Lebel

578 total citations
20 papers, 417 citations indexed

About

R. Marc Lebel is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, R. Marc Lebel has authored 20 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Cognitive Neuroscience. Recurrent topics in R. Marc Lebel's work include Advanced MRI Techniques and Applications (17 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and MRI in cancer diagnosis (8 papers). R. Marc Lebel is often cited by papers focused on Advanced MRI Techniques and Applications (17 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and MRI in cancer diagnosis (8 papers). R. Marc Lebel collaborates with scholars based in United States, Canada and Spain. R. Marc Lebel's co-authors include Joonsung Lee, Andrew S. Nencka, Seo Young Park, Sang Joon Kim, Ho Sung Kim, Minjae Kim, Ji Eun Park, David C. Alsop, Young‐Hoon Kim and Alexander D. Cohen and has published in prestigious journals such as PLoS ONE, NeuroImage and Radiology.

In The Last Decade

R. Marc Lebel

19 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Marc Lebel United States 13 340 56 47 42 40 20 417
Jae‐Yong Han South Korea 12 224 0.7× 69 1.2× 60 1.3× 59 1.4× 28 0.7× 16 402
Angelika Mennecke Germany 11 185 0.5× 63 1.1× 55 1.2× 31 0.7× 24 0.6× 35 332
Dengrong Jiang United States 14 320 0.9× 99 1.8× 54 1.1× 78 1.9× 42 1.1× 48 561
Jonathan Goodwin Japan 12 269 0.8× 44 0.8× 92 2.0× 67 1.6× 37 0.9× 22 374
Elisabeth Springer Austria 9 315 0.9× 42 0.8× 47 1.0× 16 0.4× 58 1.4× 15 440
René‐Maxime Gracien Germany 16 414 1.2× 95 1.7× 109 2.3× 30 0.7× 26 0.7× 33 623
Katsutoshi Murata Japan 16 589 1.7× 49 0.9× 59 1.3× 49 1.2× 24 0.6× 38 700
Manuel Taso United States 14 401 1.2× 77 1.4× 65 1.4× 17 0.4× 34 0.8× 33 593
Pedro Lima Cardoso Austria 8 293 0.9× 33 0.6× 72 1.5× 13 0.3× 55 1.4× 14 371
Lindsey M. Dethrage United States 10 241 0.7× 78 1.4× 48 1.0× 66 1.6× 26 0.7× 12 349

Countries citing papers authored by R. Marc Lebel

Since Specialization
Citations

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

Fields of papers citing papers by R. Marc Lebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Marc Lebel. 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 R. Marc Lebel. The network helps show where R. Marc Lebel may publish in the future.

Co-authorship network of co-authors of R. Marc Lebel

This figure shows the co-authorship network connecting the top 25 collaborators of R. Marc Lebel. A scholar is included among the top collaborators of R. Marc Lebel 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 R. Marc Lebel. R. Marc Lebel 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
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Ünal, Orhan, Lloyd Estkowski, Ty Cashen, et al.. (2023). Evaluation of a Deep Learning Reconstruction for High-Quality T2-Weighted Breast Magnetic Resonance Imaging. Tomography. 9(5). 1949–1964. 11 indexed citations
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Koch, Kevin M., et al.. (2021). Analysis and Evaluation of a Deep Learning Reconstruction Approach with Denoising for Orthopedic MRI. Radiology Artificial Intelligence. 3(6). e200278–e200278. 41 indexed citations
6.
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
7.
Gaxiola‐Valdez, Ismael, Shaily Singh, Sherry Sandy, et al.. (2020). Localizing the seizure onset zone by comparing patient postictal hypoperfusion to healthy controls. Journal of Neuroscience Research. 98(8). 1517–1531. 5 indexed citations
8.
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
9.
Kim, Minjae, Ho Sung Kim, Ji Eun Park, et al.. (2020). Thin-Slice Pituitary MRI with Deep Learning–based Reconstruction: Diagnostic Performance in a Postoperative Setting. Radiology. 298(1). 114–122. 90 indexed citations
10.
Cohen, Alexander D., Mohit Agarwal, Andrew S. Nencka, et al.. (2019). Longitudinal Reproducibility of MR Perfusion Using 3D Pseudocontinuous Arterial Spin Labeling With Hadamard‐Encoded Multiple Postlabeling Delays. Journal of Magnetic Resonance Imaging. 51(6). 1846–1853. 27 indexed citations
11.
Rusin, Jerome, et al.. (2019). Multidelay Arterial Spin Labeling MRI in the Assessment of Cerebral Blood Flow: Preliminary Clinical Experience in Pediatrics. Pediatric Neurology. 103. 79–83. 3 indexed citations
12.
Welton, Thomas, Jerome J. Maller, R. Marc Lebel, et al.. (2019). Diffusion kurtosis and quantitative susceptibility mapping MRI are sensitive to structural abnormalities in amyotrophic lateral sclerosis. NeuroImage Clinical. 24. 101953–101953. 31 indexed citations
13.
Rodriguez, Cristelle, Pantéleimon Giannakopoulos, Michael Burke, et al.. (2018). Brain Perfusion Measurements Using Multidelay Arterial Spin-Labeling Are Systematically Biased by the Number of Delays. American Journal of Neuroradiology. 39(8). 1432–1438. 28 indexed citations
14.
Yun, Tae Jin, Chul‐Ho Sohn, Roh‐Eul Yoo, et al.. (2017). Transit time corrected arterial spin labeling technique aids to overcome delayed transit time effect. Neuroradiology. 60(3). 255–265. 12 indexed citations
15.
Geeraert, Bryce, R. Marc Lebel, Sean Deoni, et al.. (2017). A comparison of inhomogeneous magnetization transfer, myelin volume fraction, and diffusion tensor imaging measures in healthy children. NeuroImage. 182. 343–350. 55 indexed citations
16.
Cohen, Alexander D., Andrew S. Nencka, R. Marc Lebel, & Yang Wang. (2017). Multiband multi-echo imaging of simultaneous oxygenation and flow timeseries for resting state connectivity. PLoS ONE. 12(3). e0169253–e0169253. 23 indexed citations
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Guo, Yi, R. Marc Lebel, Yinghua Zhu, et al.. (2016). High-resolution whole-brain DCE-MRI using constrained reconstruction: Prospective clinical evaluation in brain tumor patients. Medical Physics. 43(5). 2013–2023. 22 indexed citations
19.
Zhu, Yinghua, Sajan Goud Lingala, R. Marc Lebel, et al.. (2015). High-resolution whole-brain dynamic contrast-enhanced MRI using compressed sensing. SPIE Newsroom. 3 indexed citations
20.
Lebel, R. Marc & Alan H. Wilman. (2007). Intuitive design guidelines for fast spin echo imaging with variable flip angle echo trains. Magnetic Resonance in Medicine. 57(5). 972–975. 14 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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