Sean Deoni

12.6k total citations · 2 hit papers
148 papers, 7.5k citations indexed

About

Sean Deoni is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Sean Deoni has authored 148 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Radiology, Nuclear Medicine and Imaging, 49 papers in Pediatrics, Perinatology and Child Health and 36 papers in Cognitive Neuroscience. Recurrent topics in Sean Deoni's work include Advanced Neuroimaging Techniques and Applications (56 papers), Advanced MRI Techniques and Applications (46 papers) and Neonatal and fetal brain pathology (32 papers). Sean Deoni is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (56 papers), Advanced MRI Techniques and Applications (46 papers) and Neonatal and fetal brain pathology (32 papers). Sean Deoni collaborates with scholars based in United States, United Kingdom and Canada. Sean Deoni's co-authors include Brian K. Rutt, Terry M. Peters, Douglas Dean, Jonathan O’Muircheartaigh, Holly Dirks, Catherine Lebel, Steven Williams, Nicole Waskiewicz, Declan Murphy and Derek K. Jones and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Sean Deoni

137 papers receiving 7.4k citations

Hit Papers

Rapid combined T1 and T2 ... 2003 2026 2010 2018 2003 2018 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sean Deoni 3.9k 2.0k 1.6k 628 622 148 7.5k
François Lazeyras 2.7k 0.7× 3.5k 1.8× 2.4k 1.5× 436 0.7× 892 1.4× 193 8.5k
Jeffrey J. Neil 4.4k 1.1× 2.0k 1.0× 4.6k 2.9× 559 0.9× 486 0.8× 143 9.7k
J. Keith Smith 2.8k 0.7× 2.3k 1.2× 2.0k 1.3× 651 1.0× 550 0.9× 130 8.2k
Joseph A. Helpern 8.2k 2.1× 1.6k 0.8× 1.1k 0.7× 561 0.9× 719 1.2× 132 10.4k
Elfar Adalsteinsson 6.1k 1.6× 1.9k 1.0× 909 0.6× 438 0.7× 587 0.9× 168 8.4k
Xavier Golay 8.2k 2.1× 2.5k 1.3× 1.3k 0.8× 635 1.0× 654 1.1× 223 12.6k
Robert J. Ogg 2.3k 0.6× 691 0.4× 886 0.6× 402 0.6× 296 0.5× 92 4.8k
Roland G. Henry 5.0k 1.3× 1.5k 0.7× 1.8k 1.1× 1.4k 2.2× 885 1.4× 153 10.1k
Christopher D. Kroenke 2.0k 0.5× 1.2k 0.6× 1.3k 0.8× 1.8k 2.8× 246 0.4× 108 6.1k
Aaron S. Field 4.5k 1.1× 1.8k 0.9× 986 0.6× 301 0.5× 637 1.0× 93 6.6k

Countries citing papers authored by Sean Deoni

Since Specialization
Citations

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

Fields of papers citing papers by Sean Deoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Deoni

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Deoni. A scholar is included among the top collaborators of Sean Deoni 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 Sean Deoni. Sean Deoni 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.
Dvorak, Adam, Francesco Padormo, Megan Poorman, et al.. (2025). Magnetization transfer imaging using non‐balanced SSFP at ultra‐low field. Magnetic Resonance in Medicine. 94(2). 602–614.
2.
Teixeira, Rui Pedro A. G., Lucilio Cordero‐Grande, Emil Ljungberg, et al.. (2025). Motion‐corrected brain MRI at ultralow field (64 mT ). Magnetic Resonance in Medicine. 94(2). 825–834.
3.
Bonham, Kevin S., Qiyun Zhu, Viren D’Sa, et al.. (2025). Associations between relative abundances of Bifidobacterium species in the gut and DNA methylation of cortisol-related genes in a pediatric population. Frontiers in Microbiology. 16. 1558809–1558809.
4.
Zhang, Yiqi, Niall Bourke, Kirsten A. Donald, et al.. (2024). Ultra‐Low‐Field Paediatric MRI in Low‐ and Middle‐Income Countries: Super‐Resolution Using a Multi‐Orientation U‐Net. Human Brain Mapping. 46(1).
5.
Deoni, Sean, Natacha Paquette, Carlos Salazar, et al.. (2024). Surface‐based morphometry of the corpus callosum in young children of ages 1–5. Human Brain Mapping. 45(9). e26693–e26693.
6.
Laue, Hannah E., Kevin S. Bonham, Modupe O. Coker, et al.. (2024). Prospective association of the infant gut microbiome with social behaviors in the ECHO consortium. Molecular Autism. 15(1). 21–21. 3 indexed citations
7.
Thapaliya, Gita, Elena Jansen, Marcus Naymik, et al.. (2023). FTO variation and early frontostriatal brain development in children. Obesity. 32(1). 156–165. 1 indexed citations
8.
Schneider, Nora, Jonathan O’Regan, Jennifer Beauchemin, et al.. (2023). Impact of a Nutrient Formulation on Longitudinal Myelination, Cognition, and Behavior from Birth to 2 Years: A Randomized Clinical Trial. Nutrients. 15(20). 4439–4439. 10 indexed citations
10.
Wijeakumar, Sobanawartiny, Samuel H. Forbes, Vincent A. Magnotta, et al.. (2023). Stunting in infancy is associated with atypical activation of working memory and attention networks. Nature Human Behaviour. 7(12). 2199–2211. 11 indexed citations
11.
Herbstman, Julie B., Megan E. Romano, Lisa P. Jacobson, et al.. (2023). Characterizing changes in behaviors associated with chemical exposures during the COVID-19 pandemic. PLoS ONE. 18(1). e0277679–e0277679. 3 indexed citations
13.
Patriquin, Christopher J., Katerina Pavenski, Michael T. Jurkiewicz, et al.. (2023). Cognitive decline in thrombotic thrombocytopenic purpura survivors: The role of white matter health as assessed by MRI. British Journal of Haematology. 204(3). 1005–1016. 5 indexed citations
14.
Binia, Aristea, et al.. (2023). Human milk oligosaccharide composition and associations with growth: results from an observational study in the US. Frontiers in Nutrition. 10. 1239349–1239349. 8 indexed citations
15.
Sauder, Katherine A., Regan L Bailey, Christine W. Hockett, et al.. (2023). Selecting a dietary supplement with appropriate dosing for 6 key nutrients in pregnancy. American Journal of Clinical Nutrition. 117(4). 823–829. 10 indexed citations
16.
Jansen, Elena, Marcus Naymik, Gita Thapaliya, et al.. (2023). Parent-reported child appetite moderates relationships between child genetic obesity risk and parental feeding practices. Frontiers in Nutrition. 10. 1174441–1174441. 5 indexed citations
17.
Müller, Hans‐Georg, Changbo Zhu, Jane-Ling Wang, et al.. (2023). Network evolution of regional brain volumes in young children reflects neurocognitive scores and mother’s education. Scientific Reports. 13(1). 2984–2984. 2 indexed citations
18.
Deoni, Sean, Douglas Dean, Jonathan O’Muircheartaigh, et al.. (2021). Developmental changes of the central sulcus morphology in young children. Brain Structure and Function. 226(6). 1841–1853. 1 indexed citations
19.
Dean, Douglas, Holly Dirks, Jonathan O’Muircheartaigh, et al.. (2013). Pediatric neuroimaging using magnetic resonance imaging during non-sedated sleep. Pediatric Radiology. 44(1). 64–72. 105 indexed citations
20.
Dean, Douglas, Beth A. Jerskey, Kewei Chen, et al.. (2013). Brain Differences in Infants at Differential Genetic Risk for Late-Onset Alzheimer Disease. JAMA Neurology. 71(1). 11–11. 190 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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