Emily S. Nichols

1.1k total citations
42 papers, 627 citations indexed

About

Emily S. Nichols is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Developmental and Educational Psychology. According to data from OpenAlex, Emily S. Nichols has authored 42 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 11 papers in Pediatrics, Perinatology and Child Health and 10 papers in Developmental and Educational Psychology. Recurrent topics in Emily S. Nichols's work include Neurobiology of Language and Bilingualism (10 papers), Neonatal and fetal brain pathology (8 papers) and Reading and Literacy Development (8 papers). Emily S. Nichols is often cited by papers focused on Neurobiology of Language and Bilingualism (10 papers), Neonatal and fetal brain pathology (8 papers) and Reading and Literacy Development (8 papers). Emily S. Nichols collaborates with scholars based in Canada, United States and China. Emily S. Nichols's co-authors include Bobby Stojanoski, Conor J. Wild, Marc F. Joanisse, Adrian M. Owen, Adrian M. Owen, Antoine Tremblay, Michael T. Ullman, Aaron J. Newman, Helen J. Neville and Andrea Soddu and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Emily S. Nichols

39 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily S. Nichols Canada 11 441 224 171 53 39 42 627
Jillian Grose‐Fifer United States 13 490 1.1× 185 0.8× 101 0.6× 37 0.7× 65 1.7× 28 633
Dana L. Byrd United States 8 244 0.6× 122 0.5× 121 0.7× 64 1.2× 64 1.6× 12 471
Sonja Rossi Austria 15 776 1.8× 499 2.2× 184 1.1× 26 0.5× 64 1.6× 40 1.0k
Begoña Díaz Spain 17 730 1.7× 363 1.6× 369 2.2× 36 0.7× 10 0.3× 25 937
A. Cris Hamilton United States 14 663 1.5× 284 1.3× 200 1.2× 87 1.6× 11 0.3× 22 750
João Veríssimo Germany 14 331 0.8× 311 1.4× 124 0.7× 48 0.9× 11 0.3× 34 562
Julia Hocking Australia 13 683 1.5× 144 0.6× 303 1.8× 99 1.9× 16 0.4× 30 953
Soohyun Cho South Korea 12 385 0.9× 294 1.3× 127 0.7× 27 0.5× 14 0.4× 24 703
Karla Monzalvo France 12 633 1.4× 487 2.2× 142 0.8× 58 1.1× 137 3.5× 13 1.0k
Nestor Viñas‐Guasch United States 8 332 0.8× 240 1.1× 102 0.6× 48 0.9× 9 0.2× 12 489

Countries citing papers authored by Emily S. Nichols

Since Specialization
Citations

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

Fields of papers citing papers by Emily S. Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily S. Nichols. 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 Emily S. Nichols. The network helps show where Emily S. Nichols may publish in the future.

Co-authorship network of co-authors of Emily S. Nichols

This figure shows the co-authorship network connecting the top 25 collaborators of Emily S. Nichols. A scholar is included among the top collaborators of Emily S. Nichols 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 Emily S. Nichols. Emily S. Nichols 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.
Nichols, Emily S., et al.. (2025). Early life stress impairs hippocampal subfield myelination. Communications Biology. 8(1). 785–785. 1 indexed citations
2.
Liang, Xitong, et al.. (2024). A meta‐analysis of letter–sound integration: Assimilation and accommodation in the superior temporal gyrus. Human Brain Mapping. 45(15). e26713–e26713. 1 indexed citations
3.
Nichols, Emily S., et al.. (2024). A transdiagnostic examination of cognitive heterogeneity in children and adolescents with neurodevelopmental disorders. Child Neuropsychology. 31(2). 293–311. 2 indexed citations
4.
Nichols, Emily S., et al.. (2024). Anxiety in children and adolescents with autism spectrum disorder: behavioural phenotypes and environmental factors. BMC Psychology. 12(1). 534–534. 3 indexed citations
5.
Nichols, Emily S., et al.. (2024). A design for life: Predicting cognitive performance from lifestyle choices. PLoS ONE. 19(4). e0298899–e0298899. 3 indexed citations
6.
Nichols, Emily S., Michael Grace, Barbra de Vrijer, et al.. (2023). Sex- and age-based differences in fetal and early childhood hippocampus maturation: a cross-sectional and longitudinal analysis. Cerebral Cortex. 34(1). 4 indexed citations
7.
Nichols, Emily S., et al.. (2023). Subcortical brain volumes in neonatal hypoxic–ischemic encephalopathy. Pediatric Research. 94(5). 1797–1803. 8 indexed citations
8.
Nichols, Emily S., Barbra de Vrijer, Roy Eagleson, et al.. (2023). Default mode network functional connectivity strength in utero and the association with fetal subcortical development. Cerebral Cortex. 33(14). 9144–9153. 1 indexed citations
9.
Gilbert, Kyle M., Emily S. Nichols, Joseph S. Gati, & Emma G. Duerden. (2023). A radiofrequency coil for infants and toddlers. NMR in Biomedicine. 36(8). e4928–e4928. 3 indexed citations
10.
Nichols, Emily S., et al.. (2023). Funcmasker-flex: An Automated BIDS-App for Brain Segmentation of Human Fetal Functional MRI data. Neuroinformatics. 21(3). 565–573. 3 indexed citations
11.
Nichols, Emily S., et al.. (2023). Hippocampus long‐axis specialization throughout development: A meta‐analysis. Human Brain Mapping. 44(11). 4211–4224. 8 indexed citations
12.
Nichols, Emily S., Yalda Mohsenzadeh, Isabelle Giroux, et al.. (2022). Prenatal and postpartum maternal mental health and neonatal motor outcomes during the COVID-19 pandemic. Journal of Affective Disorders Reports. 10. 100387–100387. 5 indexed citations
13.
Wang, Jianan, Emily S. Nichols, Barbra de Vrijer, et al.. (2022). Semi-automatic segmentation of the fetal brain from magnetic resonance imaging. Frontiers in Neuroscience. 16. 1027084–1027084. 4 indexed citations
14.
Nichols, Emily S., et al.. (2022). Postnatal maternal distress, infant subcortical brain macrostructure and emotional regulation. Psychiatry Research Neuroimaging. 328. 111577–111577. 5 indexed citations
15.
Yin, He, et al.. (2021). Difference Between Children and Adults in the Print-speech Coactivated Network. Scientific Studies of Reading. 26(3). 250–265. 6 indexed citations
16.
Nichols, Emily S., Yalda Mohsenzadeh, Isabelle Giroux, et al.. (2021). Depression in pregnant women with and without COVID-19. BJPsych Open. 7(5). e173–e173. 5 indexed citations
17.
Zhang, Lihuan, Jiali Hu, Xin Liu, et al.. (2021). Disrupted Subcortical-Cortical Connections in a Phonological but Not Semantic Task in Chinese Children With Dyslexia. Frontiers in Human Neuroscience. 14. 611008–611008. 4 indexed citations
18.
19.
Nichols, Emily S. & Jessica A. Grahn. (2016). Neural correlates of audiovisual integration in music reading. Neuropsychologia. 91. 199–210. 10 indexed citations
20.
Newman, Aaron J., Antoine Tremblay, Emily S. Nichols, Helen J. Neville, & Michael T. Ullman. (2011). The Influence of Language Proficiency on Lexical Semantic Processing in Native and Late Learners of English. Journal of Cognitive Neuroscience. 24(5). 1205–1223. 113 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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