Jason Langley

2.1k total citations
49 papers, 1.4k citations indexed

About

Jason Langley is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Jason Langley has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Neurology and 13 papers in Cognitive Neuroscience. Recurrent topics in Jason Langley's work include Parkinson's Disease Mechanisms and Treatments (18 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Functional Brain Connectivity Studies (12 papers). Jason Langley is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (18 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Functional Brain Connectivity Studies (12 papers). Jason Langley collaborates with scholars based in United States, China and Germany. Jason Langley's co-authors include Xiaoping Hu, Daniel E. Huddleston, Qun Zhao, Xiangchuan Chen, Stewart A. Factor, Edward T. Howley, Dixie L. Thompson, Kerrie L. Moreau, David R. Bassett and Jan Sedlacik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Jason Langley

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Langley United States 20 552 493 273 255 244 49 1.4k
Christian Lambert United Kingdom 25 573 1.0× 470 1.0× 524 1.9× 232 0.9× 265 1.1× 47 1.9k
Nadya Pyatigorskaya France 24 997 1.8× 509 1.0× 254 0.9× 118 0.5× 290 1.2× 70 1.7k
Jin Yong Hong South Korea 25 847 1.5× 173 0.4× 333 1.2× 287 1.1× 188 0.8× 78 1.6k
Javier Pavı́a Spain 23 781 1.4× 676 1.4× 565 2.1× 304 1.2× 311 1.3× 109 2.3k
Francisco Lomeña Spain 26 684 1.2× 416 0.8× 641 2.3× 237 0.9× 240 1.0× 57 2.0k
Weijun Tang China 22 323 0.6× 589 1.2× 627 2.3× 71 0.3× 143 0.6× 68 1.7k
Bradley R. Foerster United States 26 638 1.2× 328 0.7× 413 1.5× 500 2.0× 325 1.3× 41 2.2k
Dana Mathews United States 21 352 0.6× 232 0.5× 412 1.5× 386 1.5× 111 0.5× 57 2.4k
Yazhuo Kong China 21 333 0.6× 267 0.5× 450 1.6× 319 1.3× 78 0.3× 57 1.3k
Jan Versijpt Belgium 28 333 0.6× 346 0.7× 392 1.4× 520 2.0× 347 1.4× 78 2.5k

Countries citing papers authored by Jason Langley

Since Specialization
Citations

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

Fields of papers citing papers by Jason Langley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Langley

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Langley. A scholar is included among the top collaborators of Jason Langley 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 Jason Langley. Jason Langley 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.
Seitz, Aaron R., et al.. (2025). Connectome-based predictive modeling of grip strength: a marker of physical frailty. Frontiers in Neuroscience. 19. 1697908–1697908.
2.
Bennett, Ilana J., et al.. (2024). Locus coeruleus contrast and diffusivity metrics differentially relate to age and memory performance. Scientific Reports. 14(1). 15372–15372. 1 indexed citations
3.
Langley, Jason, et al.. (2024). Examining iron‐related off‐target binding effects of 18 F‐AV1451 PET in the cortex of Aβ+ individuals. European Journal of Neuroscience. 60(1). 3614–3628.
4.
Langley, Jason, et al.. (2022). A Novel Hidden Markov Approach to Studying Dynamic Functional Connectivity States in Human Neuroimaging. Brain Connectivity. 13(3). 154–163. 5 indexed citations
5.
Peeraully, Riyad, et al.. (2022). Transition and reversal: long-term experience of the MACE procedure in children. Pediatric Surgery International. 38(6). 883–889. 6 indexed citations
6.
Langley, Jason, Kristy Hwang, Xiaoping Hu, & Daniel E. Huddleston. (2022). Nigral volumetric and microstructural measures in individuals with scans without evidence of dopaminergic deficit. Frontiers in Neuroscience. 16. 1048945–1048945. 2 indexed citations
7.
Langley, Jason, et al.. (2021). Impact of Locus Coeruleus and Its Projections on Memory and Aging. Brain Connectivity. 12(3). 223–233. 12 indexed citations
8.
Langley, Jason, Daniel E. Huddleston, Bruce Crosson, et al.. (2020). Multimodal assessment of nigrosomal degeneration in Parkinson's disease. Parkinsonism & Related Disorders. 80. 102–107. 10 indexed citations
9.
Langley, Jason, et al.. (2019). Characterization of age-related microstructural changes in locus coeruleus and substantia nigra pars compacta. Neurobiology of Aging. 87. 89–97. 33 indexed citations
10.
Sulzer, David, Clifford Cassidy, Guillermo Horga, et al.. (2018). Neuromelanin detection by magnetic resonance imaging (MRI) and its promise as a biomarker for Parkinson’s disease. npj Parkinson s Disease. 4(1). 11–11. 183 indexed citations
11.
He, Naying, Jason Langley, Daniel E. Huddleston, et al.. (2017). Improved Neuroimaging Atlas of the Dentate Nucleus. The Cerebellum. 16(5-6). 951–956. 20 indexed citations
12.
13.
Chen, Shiyang, Jason Langley, Xiangchuan Chen, & Xiaoping Hu. (2016). Spatiotemporal Modeling of Brain Dynamics Using Resting-State Functional Magnetic Resonance Imaging with Gaussian Hidden Markov Model. Brain Connectivity. 6(4). 326–334. 32 indexed citations
14.
Langley, Jason, et al.. (2016). Reproducibility of locus coeruleus and substantia nigra imaging with neuromelanin sensitive MRI. Magnetic Resonance Materials in Physics Biology and Medicine. 30(2). 121–125. 60 indexed citations
15.
Langley, Jason, et al.. (2015). A multicontrast approach for comprehensive imaging of substantia nigra. NeuroImage. 112. 7–13. 56 indexed citations
16.
Li, Kaiming, Jason Langley, Zhihao Li, & Xiaoping Hu. (2014). Connectomic Profiles for Individualized Resting State Networks and Regions of Interest. Brain Connectivity. 5(2). 69–79. 2 indexed citations
17.
Langley, Jason, et al.. (2010). Recursive approach to the moment-based phase unwrapping method. Applied Optics. 49(16). 3096–3096. 5 indexed citations
18.
Zhao, Qun, Jason Langley, Sunbok Lee, & Wei Liu. (2010). Positive contrast technique for the detection and quantification of superparamagnetic iron oxide nanoparticles in MRI. NMR in Biomedicine. 24(5). 464–472. 29 indexed citations
19.
Langley, Jason, Wei Liu, Elaine Jordan, Joseph A. Frank, & Qun Zhao. (2010). Quantification of SPIO nanoparticles in vivo using the finite perturber method. Magnetic Resonance in Medicine. 65(5). 1461–1469. 17 indexed citations
20.
Langley, Jason & Qun Zhao. (2009). Unwrapping magnetic resonance phase maps with Chebyshev polynomials. Magnetic Resonance Imaging. 27(9). 1293–1301. 31 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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