Christopher W. Bartlett

3.3k total citations
58 papers, 1.4k citations indexed

About

Christopher W. Bartlett is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Christopher W. Bartlett has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 19 papers in Cognitive Neuroscience and 16 papers in Molecular Biology. Recurrent topics in Christopher W. Bartlett's work include Genetics and Neurodevelopmental Disorders (17 papers), Autism Spectrum Disorder Research (16 papers) and Language Development and Disorders (11 papers). Christopher W. Bartlett is often cited by papers focused on Genetics and Neurodevelopmental Disorders (17 papers), Autism Spectrum Disorder Research (16 papers) and Language Development and Disorders (11 papers). Christopher W. Bartlett collaborates with scholars based in United States, Canada and United Kingdom. Christopher W. Bartlett's co-authors include Linda M. Brzustowicz, Veronica J. Vieland, Judy F. Flax, Paula Tallal, Mark W. Logue, Anne S. Bassett, Teresa Realpe-Bonilla, Stephen A. Petrill, Linda Hirsch and Thomas H. Wassink and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Christopher W. Bartlett

56 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher W. Bartlett United States 21 577 476 443 276 145 58 1.4k
Myriam Peyrard‐Janvid Sweden 22 619 1.1× 369 0.8× 646 1.5× 395 1.4× 129 0.9× 32 1.5k
Kristiina Tammimies Sweden 21 537 0.9× 483 1.0× 196 0.4× 393 1.4× 37 0.3× 61 1.2k
Judy F. Flax United States 14 314 0.5× 428 0.9× 467 1.1× 116 0.4× 61 0.4× 30 875
Bruce F. Pennington United States 10 439 0.8× 888 1.9× 647 1.5× 161 0.6× 74 0.5× 10 1.3k
Javier Gayán United States 25 611 1.1× 390 0.8× 1.1k 2.4× 503 1.8× 136 0.9× 37 2.0k
Sarah Grice United Kingdom 17 272 0.5× 846 1.8× 492 1.1× 76 0.3× 92 0.6× 21 1.5k
I. Laurence MacPhie United Kingdom 12 562 1.0× 575 1.2× 576 1.3× 169 0.6× 57 0.4× 12 1.3k
S. D. Smith United States 15 629 1.1× 447 0.9× 605 1.4× 635 2.3× 72 0.5× 19 1.9k
Emma L. Meaburn United Kingdom 24 1.1k 1.9× 318 0.7× 169 0.4× 862 3.1× 266 1.8× 46 2.0k
Beate Peter United States 19 371 0.6× 291 0.6× 408 0.9× 219 0.8× 71 0.5× 53 1.1k

Countries citing papers authored by Christopher W. Bartlett

Since Specialization
Citations

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

Fields of papers citing papers by Christopher W. Bartlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher W. Bartlett. 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 Christopher W. Bartlett. The network helps show where Christopher W. Bartlett may publish in the future.

Co-authorship network of co-authors of Christopher W. Bartlett

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher W. Bartlett. A scholar is included among the top collaborators of Christopher W. Bartlett 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 Christopher W. Bartlett. Christopher W. Bartlett 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.
Adler, Brent H., Sven Bambach, Charmaine B. Lo, et al.. (2025). Using deep learning for estimation of time-since-injury in pediatric accidental fractures. Pediatric Radiology. 55(6). 1257–1269.
2.
Quinney, Sara K., Robert R. Bies, Shaun J. Grannis, et al.. (2023). The MPRINT Hub Data, Model, Knowledge and Research Coordination Center: Bridging the gap in maternal–pediatric therapeutics research through data integration and pharmacometrics. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 43(5). 391–402. 8 indexed citations
3.
Cao, Xiaolong, Anbo Zhou, Marco A. Azaro, et al.. (2023). Structural Variations Contribute to the Genetic Etiology of Autism Spectrum Disorder and Language Impairments. International Journal of Molecular Sciences. 24(17). 13248–13248. 1 indexed citations
4.
Petrill, Stephen A., Brett Klamer, Steven Buyske, et al.. (2023). The Rosetta Phenotype Harmonization Method Facilitates Finding a Relationship Quantitative Trait Locus for a Complex Cognitive Trait. Genes. 14(9). 1748–1748.
5.
Bartlett, Christopher W., Yukie Ueyama, Donna A. Santillan, et al.. (2023). Invasive or More Direct Measurements Can Provide an Objective Early-Stopping Ceiling for Training Deep Neural Networks on Non-invasive or Less-Direct Biomedical Data. SN Computer Science. 4(2). 161–161. 9 indexed citations
6.
Johnson, Travis S., Christina Y. Yu, Zhi Huang, et al.. (2022). Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease. Genome Medicine. 14(1). 11–11. 24 indexed citations
7.
Ueyama, Yukie, et al.. (2022). Improvement of automated analysis of coronary Doppler echocardiograms. Scientific Reports. 12(1). 7490–7490. 2 indexed citations
8.
Backes, Carl H., Johan Ågren, Richard Sindelar, et al.. (2018). Outcomes following a comprehensive versus a selective approach for infants born at 22 weeks of gestation. Journal of Perinatology. 39(1). 39–47. 39 indexed citations
9.
Laasonen, Marja, Pekka Lahti‐Nuuttila, Miika Leminen, et al.. (2018). Understanding developmental language disorder - the Helsinki longitudinal SLI study (HelSLI): a study protocol. BMC Psychology. 6(1). 24–24. 36 indexed citations
10.
Sheppard, Kelly W., Kelly M. Boone, Barbara Gracious, et al.. (2017). Effect of Omega-3 and -6 Supplementation on Language in Preterm Toddlers Exhibiting Autism Spectrum Disorder Symptoms. Journal of Autism and Developmental Disorders. 47(11). 3358–3369. 22 indexed citations
11.
Schmitt, Mary Beth, Laura M. Justice, Jessica A. R. Logan, Christopher Schatschneider, & Christopher W. Bartlett. (2014). Do the symptoms of language disorder align with treatment goals? An exploratory study of primary-grade students’ IEPs. Journal of Communication Disorders. 52. 99–110. 17 indexed citations
12.
Ray, William C., Brandon J. Sullivan, Thomas J. Magliery, et al.. (2014). Understanding the sequence requirements of protein families: insights from the BioVis 2013 contests. BMC Proceedings. 8(S2). S1–S1. 3 indexed citations
13.
Hou, Liping, Christopher Phillips, Marco A. Azaro, Linda M. Brzustowicz, & Christopher W. Bartlett. (2011). Validation of a Cost-Efficient Multi-Purpose SNP Panel for Disease Based Research. PLoS ONE. 6(5). e19699–e19699. 7 indexed citations
14.
Logan, Jessica A. R., Stephen A. Petrill, Judy F. Flax, et al.. (2010). Genetic Covariation Underlying Reading, Language and Related Measures in a Sample Selected for Specific Language Impairment. Behavior Genetics. 41(5). 651–659. 11 indexed citations
15.
Flax, Judy F., Marco A. Azaro, Laura M. Justice, et al.. (2010). Increasing Genotype-Phenotype Model Determinism: Application to Bivariate Reading/Language Traits and Epistatic Interactions in Language-Impaired Families. Human Heredity. 70(4). 232–244. 20 indexed citations
16.
Wassink, Thomas H., Veronica J. Vieland, Val C. Sheffield, et al.. (2008). Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16. Psychiatric Genetics. 18(2). 85–91. 7 indexed citations
17.
Bartlett, Christopher W., et al.. (2007). Discussing gene-gene interaction: Warning — translating equations to English may result in Jabberwocky. Genetic Epidemiology. 31(S1). S61–S67. 6 indexed citations
18.
Huang, Yungui, et al.. (2007). Exploiting gene × gene interaction in linkage analysis. BMC Proceedings. 1(S1). S64–S64. 10 indexed citations
19.
Bartlett, Christopher W., Rhinda Goedken, & Veronica J. Vieland. (2005). Effects of Updating Linkage Evidence across Subsets of Data: Reanalysis of the Autism Genetic Resource Exchange Data Set. The American Journal of Human Genetics. 76(4). 688–695. 24 indexed citations
20.
Bartlett, Christopher W., Judy F. Flax, Mark W. Logue, et al.. (2004). Examination of Potential Overlap in Autism and Language Loci on Chromosomes 2, 7, and 13 in Two Independent Samples Ascertained for Specific Language Impairment. Human Heredity. 57(1). 10–20. 75 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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