Laura A. Barquero

824 total citations
18 papers, 554 citations indexed

About

Laura A. Barquero is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Statistics and Probability. According to data from OpenAlex, Laura A. Barquero has authored 18 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Developmental and Educational Psychology, 6 papers in Cognitive Neuroscience and 4 papers in Statistics and Probability. Recurrent topics in Laura A. Barquero's work include Reading and Literacy Development (11 papers), Cognitive and developmental aspects of mathematical skills (4 papers) and Attention Deficit Hyperactivity Disorder (3 papers). Laura A. Barquero is often cited by papers focused on Reading and Literacy Development (11 papers), Cognitive and developmental aspects of mathematical skills (4 papers) and Attention Deficit Hyperactivity Disorder (3 papers). Laura A. Barquero collaborates with scholars based in United States, South Korea and United Kingdom. Laura A. Barquero's co-authors include Laurie E. Cutting, Douglas Fuchs, Lynn S. Fuchs, Donald L. Compton, Jennifer K. Gilbert, Bobette Bouton, Eunsoo Cho, Nicole Davis, Katherine S. Aboud and Joseph R. Jenkins and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Journal of Educational Psychology.

In The Last Decade

Laura A. Barquero

17 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura A. Barquero United States 12 420 172 172 152 61 18 554
Sara Taylor United States 9 642 1.5× 225 1.3× 282 1.6× 244 1.6× 65 1.1× 15 838
Greg Robinson Australia 11 126 0.3× 69 0.4× 68 0.4× 126 0.8× 31 0.5× 39 371
Emily Smith United States 9 175 0.4× 74 0.4× 56 0.3× 64 0.4× 32 0.5× 22 388
Natalie Cope United Kingdom 9 436 1.0× 153 0.9× 92 0.5× 142 0.9× 52 0.9× 18 665
Nina Neuhoff Germany 9 345 0.8× 148 0.9× 130 0.8× 166 1.1× 56 0.9× 11 501
Janosch Linkersdörfer Germany 11 280 0.7× 204 1.2× 156 0.9× 181 1.2× 63 1.0× 23 444
Gary Hill United States 7 275 0.7× 93 0.5× 52 0.3× 80 0.5× 29 0.5× 12 432
Eleanor M. Semel United States 11 492 1.2× 58 0.3× 114 0.7× 217 1.4× 15 0.2× 16 661
Haiying Meng United States 9 485 1.2× 186 1.1× 84 0.5× 163 1.1× 41 0.7× 18 672
Peter Tellegen Netherlands 10 125 0.3× 25 0.1× 94 0.5× 96 0.6× 42 0.7× 28 374

Countries citing papers authored by Laura A. Barquero

Since Specialization
Citations

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

Fields of papers citing papers by Laura A. Barquero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura A. Barquero

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

All Works

18 of 18 papers shown
1.
Ramadass, Karthik, Xin Yu, Leon Y. Cai, et al.. (2023). Deep whole brain segmentation of 7T structural MRI. PubMed. 12464. 105–105.
2.
Landman, Bennett A., et al.. (2023). Using a semi-automated approach to quantify Unidentified Bright Objects in Neurofibromatosis type 1 and linkages to cognitive and academic outcomes. Magnetic Resonance Imaging. 98. 17–25. 5 indexed citations
3.
Cutting, Laurie E., et al.. (2023). Examination of common and unique brain regions for atypical reading and math: a meta-analysis. Cerebral Cortex. 33(11). 6959–6989. 13 indexed citations
4.
Ramadass, Karthik, François Rheault, Leon Y. Cai, et al.. (2022). Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI. PubMed. 22. 49–49. 3 indexed citations
5.
Tufo, Stephanie N. Del, et al.. (2022). Virtual reality water maze navigation in children with neurofibromatosis type 1 and reading disability: An exploratory study.. PubMed. 8(4). 155–167. 2 indexed citations
6.
Zoltowski, Alisa R., Ilwoo Lyu, Michelle D. Failla, et al.. (2021). Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing. Cerebral Cortex. 31(11). 5188–5205. 12 indexed citations
7.
Barquero, Laura A., et al.. (2020). The relationship between cognitive skills and reading comprehension of narrative and expository texts: A longitudinal study from Grade 1 to Grade 4. Learning and Individual Differences. 80. 101848–101848. 34 indexed citations
8.
Aboud, Katherine S., Stephen Bailey, Stephanie N. Del Tufo, Laura A. Barquero, & Laurie E. Cutting. (2019). Fairy Tales versus Facts: Genre Matters to the Developing Brain. Cerebral Cortex. 29(11). 4877–4888. 10 indexed citations
9.
Aboud, Katherine S., Laura A. Barquero, & Laurie E. Cutting. (2018). Prefrontal mediation of the reading network predicts intervention response in dyslexia. Cortex. 101. 96–106. 28 indexed citations
10.
Bouton, Bobette, et al.. (2018). Upside‐Down Response to Intervention: A Quasi‐Experimental Study. Learning Disabilities Research and Practice. 33(4). 229–236. 2 indexed citations
11.
Barquero, Laura A., et al.. (2015). Teaching reading to children with neurofibromatosis type 1: a clinical trial with random assignment to different approaches. Developmental Medicine & Child Neurology. 57(12). 1150–1158. 11 indexed citations
12.
Barquero, Laura A., Nicole Davis, & Laurie E. Cutting. (2014). Neuroimaging of Reading Intervention: A Systematic Review and Activation Likelihood Estimate Meta-Analysis. PLoS ONE. 9(1). e83668–e83668. 96 indexed citations
13.
Toste, Jessica R., Donald L. Compton, Douglas Fuchs, et al.. (2014). Understanding Unresponsiveness to Tier 2 Reading Intervention. Learning Disability Quarterly. 37(4). 192–203. 22 indexed citations
14.
Gilbert, Jennifer K., Donald L. Compton, Douglas Fuchs, et al.. (2013). Efficacy of a First‐Grade Responsiveness‐to‐Intervention Prevention Model for Struggling Readers. Reading Research Quarterly. 48(2). 135–154. 55 indexed citations
15.
Compton, Donald L., Jennifer K. Gilbert, Joseph R. Jenkins, et al.. (2012). Accelerating Chronically Unresponsive Children to Tier 3 Instruction. Journal of Learning Disabilities. 45(3). 204–216. 68 indexed citations
16.
Davis, Nicole, Laura A. Barquero, Donald L. Compton, et al.. (2011). Functional Correlates of Children's Responsiveness to Intervention. Developmental Neuropsychology. 36(3). 288–301. 17 indexed citations
17.
Compton, Donald L., Douglas Fuchs, Lynn S. Fuchs, et al.. (2010). Selecting at-risk first-grade readers for early intervention: Eliminating false positives and exploring the promise of a two-stage gated screening process.. Journal of Educational Psychology. 102(2). 327–340. 145 indexed citations
18.
Dross, Rukiyah Van, Shan Yao, Deborah J. Mays, et al.. (2005). Constitutively Active K-cyclin/cdk6 Kinase in Kaposi Sarcoma–Associated Herpesvirus–Infected Cells. JNCI Journal of the National Cancer Institute. 97(9). 656–666. 31 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

Breakdown of academic impact, for papers by Sara Taylor Breakdown of academic impact, for papers by Greg Robinson Breakdown of academic impact, for papers by Emily Smith Breakdown of academic impact, for papers by Natalie Cope Breakdown of academic impact, for papers by Nina Neuhoff Breakdown of academic impact, for papers by Janosch Linkersdörfer Breakdown of academic impact, for papers by Gary Hill Breakdown of academic impact, for papers by Eleanor M. Semel Breakdown of academic impact, for papers by Haiying Meng Breakdown of academic impact, for papers by Peter Tellegen
Rankless by CCL
2026