Kevin Leu

1.4k total citations
26 papers, 875 citations indexed

About

Kevin Leu is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology. According to data from OpenAlex, Kevin Leu has authored 26 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Kevin Leu's work include MRI in cancer diagnosis (12 papers), Glioma Diagnosis and Treatment (11 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Kevin Leu is often cited by papers focused on MRI in cancer diagnosis (12 papers), Glioma Diagnosis and Treatment (11 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Kevin Leu collaborates with scholars based in United States, Germany and Japan. Kevin Leu's co-authors include Benjamin M. Ellingson, Whitney B. Pope, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Albert Lai, Linda M. Liau, Irene A. Chen, Sudha Rajamani, Benedikt Obermayer and Ulrich Gerland and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Kevin Leu

26 papers receiving 871 citations

Peers

Kevin Leu
Kevin Leu
Citations per year, relative to Kevin Leu Kevin Leu (= 1×) peers Paolo Galluzzi

Countries citing papers authored by Kevin Leu

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Leu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Leu

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Leu. A scholar is included among the top collaborators of Kevin Leu 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 Kevin Leu. Kevin Leu 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.
Chakhoyan, Ararat, Jingwen Yao, Kevin Leu, et al.. (2019). Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry. Scientific Reports. 9(1). 2846–2846. 31 indexed citations
2.
Ellingson, Benjamin M., Davis C. Woodworth, Kevin Leu, Noriko Salamon, & Langston T. Holly. (2019). Spinal Cord Perfusion MR Imaging Implicates Both Ischemia and Hypoxia in the Pathogenesis of Cervical Spondylosis. World Neurosurgery. 128. e773–e781. 31 indexed citations
3.
Chakhoyan, Ararat, Kevin Leu, Whitney B. Pope, Timothy F. Cloughesy, & Benjamin M. Ellingson. (2017). Improved Spatiotemporal Resolution of Dynamic Susceptibility Contrast Perfusion MRI in Brain Tumors Using Simultaneous Multi-Slice Echo-Planar Imaging. American Journal of Neuroradiology. 39(1). 43–45. 10 indexed citations
4.
Leu, Kevin, Albert Lai, Phioanh L. Nghiemphu, et al.. (2017). Perfusion and diffusion MRI signatures in histologic and genetic subtypes of WHO grade II–III diffuse gliomas. Journal of Neuro-Oncology. 134(1). 177–188. 118 indexed citations
5.
Kurth, Florian, Kevin Leu, Yinn Cher Ooi, et al.. (2017). Evaluation of Encephaloduroarteriosynangiosis Efficacy Using Probabilistic Independent Component Analysis Applied to Dynamic Susceptibility Contrast Perfusion MRI. American Journal of Neuroradiology. 38(3). 507–514. 7 indexed citations
6.
Leu, Kevin, Jerrold L. Boxerman, Albert Lai, et al.. (2016). Bidirectional Contrast agent leakage correction of dynamic susceptibility contrast (DSC)‐MRI improves cerebral blood volume estimation and survival prediction in recurrent glioblastoma treated with bevacizumab. Journal of Magnetic Resonance Imaging. 44(5). 1229–1237. 25 indexed citations
8.
Ellingson, Benjamin M., Robert J. Harris, Davis C. Woodworth, et al.. (2016). Baseline pretreatment contrast enhancing tumor volume including central necrosis is a prognostic factor in recurrent glioblastoma: evidence from single and multicenter trials. Neuro-Oncology. 19(1). 89–98. 55 indexed citations
9.
Leu, Kevin, J. L. Boxerman, Timothy F. Cloughesy, et al.. (2016). Improved Leakage Correction for Single-Echo Dynamic Susceptibility Contrast Perfusion MRI Estimates of Relative Cerebral Blood Volume in High-Grade Gliomas by Accounting for Bidirectional Contrast Agent Exchange. American Journal of Neuroradiology. 37(8). 1440–1446. 31 indexed citations
10.
Chang, Warren, Whitney B. Pope, Robert J. Harris, et al.. (2015). Diffusion MRI Characteristics after Concurrent Radiochemotherapy Predicts Progression-Free and Overall Survival in Newly Diagnosed Glioblastoma. Tomography. 1(1). 37–43. 10 indexed citations
11.
Banerjee, Pia, Kevin Leu, Robert J. Harris, et al.. (2015). Association between lesion location and language function in adult glioma using voxel-based lesion-symptom mapping. NeuroImage Clinical. 9. 617–624. 20 indexed citations
13.
Kamrava, Mitchell, Ali R. Sepahdari, Kevin Leu, et al.. (2015). Quantitative multiparametric MRI in uveal melanoma: increased tumor permeability may predict monosomy 3. Neuroradiology. 57(8). 833–840. 24 indexed citations
14.
Ellingson, Benjamin M., Yoko Hirata, Akira Yogi, et al.. (2015). Topographical Distribution of Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex. Journal of Child Neurology. 31(5). 636–645. 9 indexed citations
15.
Ellingson, Benjamin M., Kevin Leu, Whitney B. Pope, et al.. (2015). NIMG-24HIGH SPATIOTEMPORAL DYNAMIC SUSCEPTIBILITY CONTRAST (DSC) PERFUSION MRI USING MULTIBAND ECHOPLANAR IMAGING (MB-EPI). Neuro-Oncology. 17(suppl 5). v158.4–v159. 60 indexed citations
16.
Harris, Robert J., Kevin Leu, Maryam Shabihkhani, et al.. (2014). Relationship Between [18F]FDOPA PET Uptake, Apparent Diffusion Coefficient (ADC), and Proliferation Rate in Recurrent Malignant Gliomas. Molecular Imaging and Biology. 17(3). 434–442. 26 indexed citations
17.
Leu, Kevin, Dieter R. Enzmann, Davis C. Woodworth, et al.. (2014). Hypervascular tumor volume estimated by comparison to a large-scale cerebral blood volume radiographic atlas predicts survival in recurrent glioblastoma treated with bevacizumab. Cancer Imaging. 14(1). 31–31. 19 indexed citations
18.
Derr, Julien, Michael L. Manapat, Sudha Rajamani, et al.. (2012). Prebiotically plausible mechanisms increase compositional diversity of nucleic acid sequences. Nucleic Acids Research. 40(10). 4711–4722. 37 indexed citations
19.
Leu, Kevin, Eric Kervio, Benedikt Obermayer, et al.. (2012). Cascade of Reduced Speed and Accuracy after Errors in Enzyme-Free Copying of Nucleic Acid Sequences. Journal of the American Chemical Society. 135(1). 354–366. 54 indexed citations
20.
Leu, Kevin, Benedikt Obermayer, Sudha Rajamani, Ulrich Gerland, & Irene A. Chen. (2011). The prebiotic evolutionary advantage of transferring genetic information from RNA to DNA. Nucleic Acids Research. 39(18). 8135–8147. 59 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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