Julia P. Owen

4.0k total citations
61 papers, 2.6k citations indexed

About

Julia P. Owen is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Julia P. Owen has authored 61 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 32 papers in Cognitive Neuroscience and 12 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Julia P. Owen's work include Advanced Neuroimaging Techniques and Applications (22 papers), Functional Brain Connectivity Studies (21 papers) and Fetal and Pediatric Neurological Disorders (12 papers). Julia P. Owen is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (22 papers), Functional Brain Connectivity Studies (21 papers) and Fetal and Pediatric Neurological Disorders (12 papers). Julia P. Owen collaborates with scholars based in United States, United Kingdom and Japan. Julia P. Owen's co-authors include Srikantan S. Nagarajan, Pratik Mukherjee, Kensuke Sekihara, Elysa J. Marco, David Wipf, Hagai Attias, Gareth R. Barnes, Joanne R. Hale, Matthew J. Brookes and Susan Francis and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Julia P. Owen

60 papers receiving 2.5k citations

Peers

Julia P. Owen
Vernon L. Towle United States
John L. Ulmer United States
Meritxell Bach Cuadra Switzerland
Song Lai United States
Weihong Yuan United States
Alexandre Krainik France
Christophe Destrieux France
Bradley R. Buchbinder United States
Susanne Schnell United States
Alexis Roche France
Vernon L. Towle United States
Julia P. Owen
Citations per year, relative to Julia P. Owen Julia P. Owen (= 1×) peers Vernon L. Towle

Countries citing papers authored by Julia P. Owen

Since Specialization
Citations

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

Fields of papers citing papers by Julia P. Owen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia P. Owen. 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 Julia P. Owen. The network helps show where Julia P. Owen may publish in the future.

Co-authorship network of co-authors of Julia P. Owen

This figure shows the co-authorship network connecting the top 25 collaborators of Julia P. Owen. A scholar is included among the top collaborators of Julia P. Owen 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 Julia P. Owen. Julia P. Owen 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.
Owsley, Cynthia, Gerald McGwin, Jeffrey C. Edberg, et al.. (2025). Cross-sectional design and protocol for Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI). BMJ Open. 15(2). e097449–e097449.
2.
Jiang, Yu, Thomas A. Swain, Marian Blazes, et al.. (2024). Outer Retinal Thinning is Associated With Brain Atrophy in Early Age-Related Macular Degeneration. American Journal of Ophthalmology. 269. 457–465. 1 indexed citations
3.
Kruper, John, Noah C. Benson, Sendy Caffarra, et al.. (2023). Optic radiations representing different eccentricities age differently. Human Brain Mapping. 44(8). 3123–3135. 5 indexed citations
4.
Ma, Da, Pengxiao Zang, Julia P. Owen, et al.. (2021). Collaborative Diabetic Retinopathy Severity Classification of Optical Coherence Tomography Data through Federated Learning. Investigative Ophthalmology & Visual Science. 62(8). 1029–1029. 8 indexed citations
5.
Ma, Da, Pengxiao Zang, Julia P. Owen, et al.. (2021). Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data. SHILAP Revista de lepidopterología. 1(4). 100069–100069. 67 indexed citations
6.
Owen, Julia P., Marian Blazes, Mary K Durbin, et al.. (2021). Student becomes teacher: faster deep learning (DL) lightweight models (LWM) for automated detection of abnormal OCT B-scans using student-teacher framework. Investigative Ophthalmology & Visual Science. 62(8). 1028–1028. 1 indexed citations
7.
Owen, Julia P., Ryan T. Yanagihara, Marian Blazes, et al.. (2021). Endophthalmitis Rate in Immediately Sequential versus Delayed Sequential Bilateral Cataract Surgery within the Intelligent Research in Sight (IRIS®) Registry Data. Ophthalmology. 129(2). 129–138. 40 indexed citations
8.
Palacios, Eva, Julia P. Owen, Esther L. Yuh, et al.. (2020). The evolution of white matter microstructural changes after mild traumatic brain injury: A longitudinal DTI and NODDI study. Science Advances. 6(32). eaaz6892–eaaz6892. 115 indexed citations
9.
Corrigan, Neva M., Vasily L. Yarnykh, Daniel S. Hippe, et al.. (2020). Myelin development in cerebral gray and white matter during adolescence and late childhood. NeuroImage. 227. 117678–117678. 41 indexed citations
10.
Payabvash, Seyedmehdi, Eva Palacios, Julia P. Owen, et al.. (2019). White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models. Brain Connectivity. 9(2). 209–220. 46 indexed citations
11.
Huber, Elizabeth, Rafael Neto Henriques, Julia P. Owen, Ariel Rokem, & Jason D. Yeatman. (2019). Applying microstructural models to understand the role of white matter in cognitive development. Developmental Cognitive Neuroscience. 36. 100624–100624. 30 indexed citations
12.
Hinkley, Leighton B., Chang Cai, Karuna Subramaniam, et al.. (2018). Functional and Structural Brain Plasticity in Adult Onset Single-Sided Deafness. Frontiers in Human Neuroscience. 12. 474–474. 22 indexed citations
13.
Owen, Julia P., Maxwell Wang, & Pratik Mukherjee. (2016). Periventricular White Matter Is a Nexus for Network Connectivity in the Human Brain. Brain Connectivity. 6(7). 548–557. 17 indexed citations
14.
Owen, Julia P., Nicholas J. Pojman, Tony Thieu, et al.. (2015). White Matter Changes of Neurite Density and Fiber Orientation Dispersion during Human Brain Maturation. PLoS ONE. 10(6). e0123656–e0123656. 138 indexed citations
15.
Friedman, Eric J., Adam S. Landsberg, Julia P. Owen, Yi‐Ou Li, & Pratik Mukherjee. (2014). Stochastic geometric network models for groups of functional and structural connectomes. NeuroImage. 101. 473–484. 14 indexed citations
16.
Owen, Julia P., Yi‐Ou Li, Fan Yang, et al.. (2013). Resting-State Networks and the Functional Connectome of the Human Brain in Agenesis of the Corpus Callosum. Brain Connectivity. 3(6). 547–562. 44 indexed citations
17.
Owen, Julia P., Etay Ziv, Polina Bukshpun, et al.. (2013). Test–Retest Reliability of Computational Network Measurements Derived from the Structural Connectome of the Human Brain. Brain Connectivity. 3(2). 160–176. 65 indexed citations
18.
Owen, Julia P., Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan, & David Wipf. (2008). Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG. Neural Information Processing Systems. 21. 1777–1784. 11 indexed citations
19.
Périé, Delphine, et al.. (2006). Correlating Material Properties with Tissue Composition in Enzymatically Digested Bovine Annulus Fibrosus and Nucleus Pulposus Tissue. Annals of Biomedical Engineering. 34(5). 769–777. 65 indexed citations
20.
Mahmoodi, Sasan, et al.. (2000). Skeletal growth estimation using radiographic image processing and analysis. IEEE Transactions on Information Technology in Biomedicine. 4(4). 292–297. 52 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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