Michelle McGillion

825 total citations
16 papers, 462 citations indexed

About

Michelle McGillion is a scholar working on Developmental and Educational Psychology, Pediatrics, Perinatology and Child Health and Education. According to data from OpenAlex, Michelle McGillion has authored 16 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Developmental and Educational Psychology, 6 papers in Pediatrics, Perinatology and Child Health and 4 papers in Education. Recurrent topics in Michelle McGillion's work include Language Development and Disorders (9 papers), Infant Development and Preterm Care (6 papers) and Child and Animal Learning Development (6 papers). Michelle McGillion is often cited by papers focused on Language Development and Disorders (9 papers), Infant Development and Preterm Care (6 papers) and Child and Animal Learning Development (6 papers). Michelle McGillion collaborates with scholars based in United Kingdom, Netherlands and Australia. Michelle McGillion's co-authors include Danielle Matthews, Julián M. Pine, Jane S. Herbert, Marilyn May Vihman, Tamar Keren‐Portnoy, Catherine Davies, Nayeli Gonzalez‐Gomez, Alexandra Hendry, Shannon P. Gibson and Colin Bannard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Child Development and Journal of Child Psychology and Psychiatry.

In The Last Decade

Michelle McGillion

14 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle McGillion United Kingdom 8 321 143 115 76 62 16 462
Paula Yust United States 3 361 1.1× 212 1.5× 123 1.1× 44 0.6× 59 1.0× 5 489
Kristin R. Leffel United States 7 375 1.2× 160 1.1× 177 1.5× 74 1.0× 79 1.3× 13 467
Marc W. Hernandez United States 9 354 1.1× 211 1.5× 159 1.4× 59 0.8× 60 1.0× 17 475
Ljubica Marjanovič‐Umek Slovenia 10 299 0.9× 202 1.4× 71 0.6× 52 0.7× 69 1.1× 19 470
Eileen Graf United States 7 290 0.9× 107 0.7× 95 0.8× 47 0.6× 56 0.9× 11 349
Steffi Sachse Germany 11 283 0.9× 185 1.3× 68 0.6× 84 1.1× 75 1.2× 44 463
Colleen E. Morisset United States 7 388 1.2× 130 0.9× 205 1.8× 100 1.3× 86 1.4× 9 589
Donna Jackson‐Maldonado Mexico 8 405 1.3× 73 0.5× 56 0.5× 55 0.7× 94 1.5× 22 462
Margareta Almgren Spain 4 254 0.8× 102 0.7× 48 0.4× 42 0.6× 73 1.2× 11 372
Monica Westerlund Sweden 12 449 1.4× 130 0.9× 170 1.5× 164 2.2× 113 1.8× 25 581

Countries citing papers authored by Michelle McGillion

Since Specialization
Citations

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

Fields of papers citing papers by Michelle McGillion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle McGillion. 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 Michelle McGillion. The network helps show where Michelle McGillion may publish in the future.

Co-authorship network of co-authors of Michelle McGillion

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

All Works

16 of 16 papers shown
1.
Blakey, Emma, et al.. (2025). Becoming a new parent during the pandemic: experiences of pregnancy, birth, and the postnatal period. BMC Pregnancy and Childbirth. 25(1). 39–39.
2.
McGillion, Michelle, et al.. (2023). Caregiver sensitivity supported young children’s vocabulary development during the Covid-19 UK lockdowns. Journal of Child Language. 51(5). 1213–1229. 3 indexed citations
3.
Gliga, Teodora, et al.. (2023). More frequent naps are associated with lower cognitive development in a cohort of 8–38‐month‐old children, during the Covid‐19 pandemic. SHILAP Revista de lepidopterología. 3(4). e12190–e12190. 3 indexed citations
4.
Davies, Catherine, et al.. (2023). Sustained benefits of early childhood education and care (ECEC) for young children’s development during COVID-19. Journal of Early Childhood Research. 22(2). 238–257. 6 indexed citations
5.
Hendry, Alexandra, Shannon P. Gibson, Catherine Davies, Michelle McGillion, & Nayeli Gonzalez‐Gomez. (2022). Toward a dimensional model of risk and protective factors influencing children's early cognitive, social, and emotional development during the COVID‐19 pandemic. Infancy. 28(1). 158–186. 17 indexed citations
6.
Hendry, Alexandra, Shannon P. Gibson, Catherine Davies, et al.. (2022). Not all babies are in the same boat: Exploring the effects of socioeconomic status, parental attitudes, and activities during the 2020 COVID‐19 pandemic on early Executive Functions. Infancy. 27(3). 555–581. 19 indexed citations
7.
Davies, Catherine, Alexandra Hendry, Shannon P. Gibson, et al.. (2021). Early childhood education and care (ECEC) during COVID‐19 boosts growth in language and executive function. Infant and Child Development. 30(4). e2241–e2241. 59 indexed citations
8.
Davies, Catherine, Michelle McGillion, Caroline F. Rowland, & Danielle Matthews. (2019). Can inferencing be trained in preschoolers using shared book-reading? A randomised controlled trial of parents’ inference-eliciting questions on oral inferencing ability. Journal of Child Language. 47(3). 655–679. 12 indexed citations
9.
Donnellan, Ed, Colin Bannard, Michelle McGillion, Katie E. Slocombe, & Danielle Matthews. (2019). Infants’ intentionally communicative vocalizations elicit responses from caregivers and are the best predictors of the transition to language: A longitudinal investigation of infants’ vocalizations, gestures and word production. Developmental Science. 23(1). e12843–e12843. 65 indexed citations
10.
McGillion, Michelle, Julián M. Pine, Jane S. Herbert, & Danielle Matthews. (2017). A randomised controlled trial to test the effect of promoting caregiver contingent talk on language development in infants from diverse socioeconomic status backgrounds. Journal of Child Psychology and Psychiatry. 58(10). 1122–1131. 110 indexed citations
11.
McGillion, Michelle, Jane S. Herbert, Julián M. Pine, et al.. (2016). What Paves the Way to Conventional Language? The Predictive Value of Babble, Pointing, and Socioeconomic Status. Child Development. 88(1). 156–166. 89 indexed citations
12.
Matthews, Danielle, Michelle McGillion, & Julián M. Pine. (2016). All about…: contingent talk. Nursery World. 2016(25). 17–20. 1 indexed citations
13.
McGillion, Michelle, Jane S. Herbert, Julián M. Pine, et al.. (2016). What paves the way to conventional language. 2 indexed citations
14.
McGillion, Michelle, Jane S. Herbert, Julián M. Pine, et al.. (2013). Supporting Early Vocabulary Development: What Sort of Responsiveness Matters?. Warwick Research Archive Portal (University of Warwick). 5(3). 240–248. 68 indexed citations
15.
Vihman, Marilyn May, Tamar Keren‐Portnoy, Chris Whitaker, Amy Bidgood, & Michelle McGillion. (2012). Late talking toddlers : relating early phonological development to later language advance. University of Salford Institutional Repository (University of Salford). 7 indexed citations
16.
Vogel, Carl & Michelle McGillion. (2002). GENERICITY IS CONCEPTUAL, NOT SEMANTIC. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 1 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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