Amy A. Lightbody

3.0k total citations
49 papers, 2.2k citations indexed

About

Amy A. Lightbody is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Amy A. Lightbody has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Genetics, 38 papers in Cognitive Neuroscience and 15 papers in Molecular Biology. Recurrent topics in Amy A. Lightbody's work include Genetics and Neurodevelopmental Disorders (45 papers), Autism Spectrum Disorder Research (37 papers) and Congenital heart defects research (13 papers). Amy A. Lightbody is often cited by papers focused on Genetics and Neurodevelopmental Disorders (45 papers), Autism Spectrum Disorder Research (37 papers) and Congenital heart defects research (13 papers). Amy A. Lightbody collaborates with scholars based in United States, Canada and Macao. Amy A. Lightbody's co-authors include Allan L. Reiss, Scott S. Hall, Joseph Piven, Heather C. Hazlett, Fumiko Hoeft, Jennifer L. Bruno, David Hessl, Swetapadma Patnaik, Jason J. Wolff and Karen J. Parker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PEDIATRICS and Child Development.

In The Last Decade

Amy A. Lightbody

46 papers receiving 2.1k citations

Peers

Amy A. Lightbody
Bronwyn Glaser Switzerland
Cynthia Carter Barnes United States
Linda Lotspeich United States
Harry H. Wright United States
Hower Kwon United States
Sophie van Rijn Netherlands
A. J. Lincoln United States
Amy A. Lightbody
Citations per year, relative to Amy A. Lightbody Amy A. Lightbody (= 1×) peers Éric Lemonnier

Countries citing papers authored by Amy A. Lightbody

Since Specialization
Citations

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

Fields of papers citing papers by Amy A. Lightbody

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy A. Lightbody. 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 Amy A. Lightbody. The network helps show where Amy A. Lightbody may publish in the future.

Co-authorship network of co-authors of Amy A. Lightbody

This figure shows the co-authorship network connecting the top 25 collaborators of Amy A. Lightbody. A scholar is included among the top collaborators of Amy A. Lightbody 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 Amy A. Lightbody. Amy A. Lightbody 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.
Frank, Michael C., Heidi A. Baumgartner, Mika Braginsky, et al.. (2025). Learning Variability Network Exchange (LEVANTE): A Global Framework for Measuring Children's Learning Variability Through Collaborative Data Sharing. Child Development. 96(6). 1867–1884.
2.
Foland‐Ross, Lara C., et al.. (2024). Alterations in cortical and subcortical neuroanatomy and associations with behavior in females with fragile X syndrome. Developmental Medicine & Child Neurology. 67(4). 519–528. 1 indexed citations
3.
Gao, Yuanyuan, et al.. (2024). Longitudinal Changes in Functional Neural Activation and Sensitization During Face Processing in Fragile X Syndrome. Biological Psychiatry. 97(5). 499–506. 1 indexed citations
4.
Lightbody, Amy A., et al.. (2024). Cognitive and Social–Emotional Development in Girls With Fragile X Syndrome. PEDIATRICS. 154(4).
5.
Lee, Cindy H., et al.. (2023). Cognition, academic achievement, and adaptive behavior in school-aged girls with fragile X syndrome. Research in Developmental Disabilities. 143. 104622–104622. 1 indexed citations
6.
Lightbody, Amy A., et al.. (2022). Anxiety, Depression, and Social Skills in Girls with Fragile X Syndrome: Understanding the Cycle to Improve Outcomes. Journal of Developmental & Behavioral Pediatrics. 43(9). e565–e572. 7 indexed citations
7.
Li, Rihui, Jennifer L. Bruno, Cindy H. Lee, et al.. (2022). Aberrant brain network and eye gaze patterns during natural social interaction predict multi-domain social-cognitive behaviors in girls with fragile X syndrome. Molecular Psychiatry. 27(9). 3768–3776. 6 indexed citations
8.
Lee, Cindy H., et al.. (2021). COVID-19 Pandemic: Mental Health in Girls With and Without Fragile X Syndrome. Journal of Pediatric Psychology. 47(1). 25–36. 4 indexed citations
9.
Lee, Cindy H., Matthew Marzelli, Jonas G. Miller, et al.. (2021). Neuroanatomical Profile of Young Females with Fragile X Syndrome: A Voxel-Based Morphometry Analysis. Cerebral Cortex. 32(11). 2310–2320. 9 indexed citations
10.
Lee, Cindy H., et al.. (2019). Closing the Gender Gap in Fragile X Syndrome: Review of Females with Fragile X Syndrome and Preliminary Research Findings. Brain Sciences. 9(1). 11–11. 74 indexed citations
11.
Shim, Se-Hoon, David S. Hong, Amy Garrett, et al.. (2018). Neuroanatomical abnormalities in fragile X syndrome during the adolescent and young adult years. Journal of Psychiatric Research. 107. 138–144. 15 indexed citations
12.
Hall, Scott S., et al.. (2015). Quantifying naturalistic social gaze in fragile X syndrome using a novel eye tracking paradigm. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 168(7). 564–572. 31 indexed citations
13.
Hall, Scott S., et al.. (2011). Effects of intranasal oxytocin on social anxiety in males with fragile X syndrome. Psychoneuroendocrinology. 37(4). 509–518. 114 indexed citations
14.
Hall, Scott S., et al.. (2010). Autism in Fragile X Syndrome: A Category Mistake?. Journal of the American Academy of Child & Adolescent Psychiatry. 49(9). 921–933. 123 indexed citations
15.
Kesler, Shelli R., Amy A. Lightbody, & Allan L. Reiss. (2009). Cholinergic dysfunction in fragile X syndrome and potential intervention: A preliminary 1H MRS study. American Journal of Medical Genetics Part A. 149A(3). 403–407. 48 indexed citations
16.
Hazlett, Heather C., Michele D. Poe, Amy A. Lightbody, et al.. (2009). Teasing apart the heterogeneity of autism: Same behavior, different brains in toddlers with fragile X syndrome and autism. Journal of Neurodevelopmental Disorders. 1(1). 81–90. 84 indexed citations
17.
Lightbody, Amy A. & Allan L. Reiss. (2009). Gene, brain, and behavior relationships in fragile X syndrome: Evidence from neuroimaging studies. PubMed. 15(4). 343–352. 64 indexed citations
18.
Arnow, Bruce A., L. Millheiser, Amy Garrett, et al.. (2008). Women with hypoactive sexual desire disorder compared to normal females: A functional magnetic resonance imaging study. Neuroscience. 158(2). 484–502. 127 indexed citations
19.
Hessl, David, Danh V. Nguyen, Cherie Green, et al.. (2008). A solution to limitations of cognitive testing in children with intellectual disabilities: the case of fragile X syndrome. Journal of Neurodevelopmental Disorders. 1(1). 33–45. 144 indexed citations
20.
Lightbody, Amy A., Scott S. Hall, & Allan L. Reiss. (2006). Chronological age, but not FMRP levels, predicts neuropsychological performance in girls with fragile X syndrome. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 141B(5). 468–472. 16 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026