Julia T. Mattson

465 total citations
9 papers, 319 citations indexed

About

Julia T. Mattson is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Experimental and Cognitive Psychology. According to data from OpenAlex, Julia T. Mattson has authored 9 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Julia T. Mattson's work include Memory Processes and Influences (6 papers), Memory and Neural Mechanisms (4 papers) and Neural and Behavioral Psychology Studies (3 papers). Julia T. Mattson is often cited by papers focused on Memory Processes and Influences (6 papers), Memory and Neural Mechanisms (4 papers) and Neural and Behavioral Psychology Studies (3 papers). Julia T. Mattson collaborates with scholars based in United States and Japan. Julia T. Mattson's co-authors include Michael D. Rugg, Tracy H. Wang, Marianne de Chastelaine, Brian E. Donley, Kaia L. Vilberg, Jeffrey D. Johnson, Maki Suzuki, John C. Thorne and Sara T. Kover and has published in prestigious journals such as NeuroImage, Brain Research and Cerebral Cortex.

In The Last Decade

Julia T. Mattson

9 papers receiving 311 citations

Peers

Julia T. Mattson
Flavia De Luca United Kingdom
Dillan Cellier United States
Eda Mızrak Switzerland
Kelsey L. Canada United States
Erin I. Skinner Canada
Brian E. Donley United States
Alejandro Vicente-Grabovetsky United Kingdom
Kathryn C. Dickerson United States
Michael Craig United Kingdom
Frederic M. Stoll United States
Flavia De Luca United Kingdom
Julia T. Mattson
Citations per year, relative to Julia T. Mattson Julia T. Mattson (= 1×) peers Flavia De Luca

Countries citing papers authored by Julia T. Mattson

Since Specialization
Citations

This map shows the geographic impact of Julia T. Mattson'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 T. Mattson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia T. Mattson more than expected).

Fields of papers citing papers by Julia T. Mattson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia T. Mattson

This figure shows the co-authorship network connecting the top 25 collaborators of Julia T. Mattson. A scholar is included among the top collaborators of Julia T. Mattson 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 T. Mattson. Julia T. Mattson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Mattson, Julia T., John C. Thorne, & Sara T. Kover. (2023). Parental scaffolding in play: A comparison of fetal alcohol spectrum disorders and autism spectrum disorder. Research in Developmental Disabilities. 139. 104553–104553. 1 indexed citations
2.
Mattson, Julia T., John C. Thorne, & Sara T. Kover. (2022). Parental interaction style, child engagement, and emerging executive function in fetal alcohol spectrum disorders (FASD). Child Neuropsychology. 28(7). 853–877. 3 indexed citations
3.
Mattson, Julia T., John C. Thorne, & Sara T. Kover. (2020). Relationship between task-based and parent report-based measures of attention and executive function in children with fetal alcohol spectrum disorders (FASD).. PubMed. 6(3). 176–188. 2 indexed citations
4.
Chastelaine, Marianne de, Julia T. Mattson, Tracy H. Wang, Brian E. Donley, & Michael D. Rugg. (2017). Independent contributions of fMRI familiarity and novelty effects to recognition memory and their stability across the adult lifespan. NeuroImage. 156. 340–351. 30 indexed citations
5.
Chastelaine, Marianne de, Julia T. Mattson, Tracy H. Wang, Brian E. Donley, & Michael D. Rugg. (2016). The neural correlates of recollection and retrieval monitoring: Relationships with age and recollection performance. NeuroImage. 138. 164–175. 51 indexed citations
6.
Chastelaine, Marianne de, Julia T. Mattson, Tracy H. Wang, Brian E. Donley, & Michael D. Rugg. (2016). The relationships between age, associative memory performance, and the neural correlates of successful associative memory encoding. Neurobiology of Aging. 42. 163–176. 52 indexed citations
7.
Chastelaine, Marianne de, Julia T. Mattson, Tracy H. Wang, Brian E. Donley, & Michael D. Rugg. (2014). Sensitivity of negative subsequent memory and task-negative effects to age and associative memory performance. Brain Research. 1612. 16–29. 34 indexed citations
8.
Mattson, Julia T., Tracy H. Wang, Marianne de Chastelaine, & Michael D. Rugg. (2013). Effects of Age on Negative Subsequent Memory Effects Associated with the Encoding of Item and Item-Context Information. Cerebral Cortex. 24(12). 3322–3333. 35 indexed citations
9.
Rugg, Michael D., et al.. (2012). Item memory, context memory and the hippocampus: fMRI evidence. Neuropsychologia. 50(13). 3070–3079. 111 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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2026