Virginia A. Marchman

13.6k total citations · 3 hit papers
106 papers, 7.8k citations indexed

About

Virginia A. Marchman is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Virginia A. Marchman has authored 106 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Developmental and Educational Psychology, 29 papers in Cognitive Neuroscience and 28 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Virginia A. Marchman's work include Language Development and Disorders (68 papers), Reading and Literacy Development (47 papers) and Infant Development and Preterm Care (27 papers). Virginia A. Marchman is often cited by papers focused on Language Development and Disorders (68 papers), Reading and Literacy Development (47 papers) and Infant Development and Preterm Care (27 papers). Virginia A. Marchman collaborates with scholars based in United States, Israel and United Kingdom. Virginia A. Marchman's co-authors include Anne Fernald, Elizabeth Bates, Kim Plunkett, Adriana Weisleder, Donna Thal, Nereyda Hurtado, Larry Fenson, Michael C. Frank, Mika Braginsky and Daniel Yurovsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Child Development.

In The Last Decade

Virginia A. Marchman

99 papers receiving 7.3k citations

Hit Papers

SES differences in langua... 2012 2026 2016 2021 2012 2016 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginia A. Marchman United States 36 6.3k 2.6k 1.0k 998 788 106 7.8k
Larry Fenson United States 23 5.1k 0.8× 1.6k 0.6× 1.2k 1.1× 776 0.8× 381 0.5× 34 6.2k
Michael T. Ullman United States 45 6.4k 1.0× 6.2k 2.4× 263 0.3× 1.3k 1.3× 1.3k 1.6× 121 9.5k
Kate Nation United Kingdom 54 8.2k 1.3× 4.4k 1.7× 3.0k 2.9× 681 0.7× 344 0.4× 137 9.8k
Linda S. Siegel Canada 61 11.1k 1.8× 3.6k 1.4× 4.6k 4.5× 1.1k 1.1× 648 0.8× 247 14.5k
Julián M. Pine United Kingdom 38 3.5k 0.6× 1.6k 0.6× 388 0.4× 803 0.8× 1.1k 1.4× 130 4.7k
Gina Conti‐Ramsden United Kingdom 55 7.8k 1.2× 3.8k 1.5× 1.4k 1.4× 425 0.4× 328 0.4× 181 9.4k
Susan Ellis Weismer United States 45 5.6k 0.9× 3.9k 1.5× 982 1.0× 406 0.4× 182 0.2× 113 6.8k
Keith E. Nelson United States 28 2.6k 0.4× 1.1k 0.4× 1.3k 1.3× 400 0.4× 403 0.5× 76 3.9k
Courtenay Norbury United Kingdom 40 4.8k 0.8× 3.8k 1.5× 963 0.9× 532 0.5× 203 0.3× 101 6.3k
Lois Bloom United States 26 4.4k 0.7× 1.3k 0.5× 549 0.5× 1.0k 1.0× 1.9k 2.4× 59 5.9k

Countries citing papers authored by Virginia A. Marchman

Since Specialization
Citations

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

Fields of papers citing papers by Virginia A. Marchman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia A. Marchman

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia A. Marchman. A scholar is included among the top collaborators of Virginia A. Marchman 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 Virginia A. Marchman. Virginia A. Marchman 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
3.
Travis, Katherine E., Melissa Scala, Virginia A. Marchman, et al.. (2025). Skin-to-Skin Holding in Relation to White Matter Microstructure in Infants Born Preterm. Neurology. 105(8). e214138–e214138.
4.
Marchman, Virginia A., et al.. (2024). The role of translation equivalents in bilingual word learning. Developmental Science. 27(4). e13476–e13476. 3 indexed citations
5.
Bruckert, Lisa, et al.. (2024). Neonatal inflammation and near-term white matter microstructure in infants born very preterm. SHILAP Revista de lepidopterología. 4(4). 100226–100226. 1 indexed citations
6.
Marchman, Virginia A. & Philip S. Dale. (2023). The MacArthur-Bates Communicative Development Inventories: updates from the CDI Advisory Board. Frontiers in Psychology. 14. 1170303–1170303. 18 indexed citations
7.
Dubner, Sarah E., et al.. (2023). Maternal mental health and engagement in developmental care activities with preterm infants in the NICU. Journal of Perinatology. 43(7). 871–876. 4 indexed citations
8.
Kumar, Komal, et al.. (2023). Investigating Relations between the NICU Speech Environment and Weight Gain in Infants Born Very Preterm. American Journal of Perinatology. 41(S 01). e1390–e1396. 1 indexed citations
9.
10.
Weisleder, Adriana, Margaret Friend, Angeline Tsui, & Virginia A. Marchman. (2022). Using Parent Report to Measure Vocabulary in Young Bilingual Children: A Scoping Review. PsyArXiv (OSF Preprints). 1 indexed citations
11.
Brignoni‐Pérez, Edith, Melissa Scala, Heidi M. Feldman, Virginia A. Marchman, & Katherine E. Travis. (2021). Disparities in Kangaroo Care for Premature Infants in the Neonatal Intensive Care Unit. Journal of Developmental & Behavioral Pediatrics. 43(5). e304–e311. 17 indexed citations
12.
Scala, Melissa, et al.. (2021). Impact of the COVID-19 pandemic on developmental care practices for infants born preterm. Early Human Development. 163. 105483–105483. 15 indexed citations
13.
Borchers, Lauren R., Lisa Bruckert, Katherine E. Travis, et al.. (2019). Predicting text reading skills at age 8 years in children born preterm and at term. Early Human Development. 130. 80–86. 24 indexed citations
14.
Dubner, Sarah E., et al.. (2019). White matter microstructure and cognitive outcomes in relation to neonatal inflammation in 6-year-old children born preterm. NeuroImage Clinical. 23. 101832–101832. 31 indexed citations
15.
Travis, Katherine E., et al.. (2018). White matter properties associated with pre‐reading skills in 6‐year‐old children born preterm and at term. Developmental Medicine & Child Neurology. 60(7). 695–702. 23 indexed citations
16.
MacDonald, Kyle, Virginia A. Marchman, Anne Fernald, & Michael C. Frank. (2018). Adults and preschoolers seek visual information to support language comprehension in noisy environments.. Cognitive Science. 1 indexed citations
17.
MacDonald, Kyle, et al.. (2017). An information-seeking account of eye movements during spoken and signed language comprehension.. Cognitive Science. 2 indexed citations
18.
Braginsky, Mika, et al.. (2016). From uh-oh to tomorrow: Predicting age of acquisition for early words across languages.. Cognitive Science. 24 indexed citations
19.
Marchman, Virginia A., et al.. (2015). Early language processing efficiency predicts later receptive vocabulary outcomes in children born preterm. Child Neuropsychology. 22(6). 649–665. 38 indexed citations
20.
Braginsky, Mika, Daniel Yurovsky, Virginia A. Marchman, & Michael C. Frank. (2015). Developmental Changes in the Relationship Between Grammar and the Lexicon.. Cognitive Science. 14 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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