Ming Wai Wan

3.4k total citations
71 papers, 2.0k citations indexed

About

Ming Wai Wan is a scholar working on Clinical Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Ming Wai Wan has authored 71 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Clinical Psychology, 22 papers in Cognitive Neuroscience and 20 papers in Social Psychology. Recurrent topics in Ming Wai Wan's work include Child and Adolescent Psychosocial and Emotional Development (30 papers), Family and Disability Support Research (25 papers) and Maternal Mental Health During Pregnancy and Postpartum (20 papers). Ming Wai Wan is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (30 papers), Family and Disability Support Research (25 papers) and Maternal Mental Health During Pregnancy and Postpartum (20 papers). Ming Wai Wan collaborates with scholars based in United Kingdom, Australia and Canada. Ming Wai Wan's co-authors include Jonathan Green, Kathryn M. Abel, Tony Charman, Mark H. Johnson, Mayada Elsabbagh, Faye Plummer, Margaret P. Salmon, Vicky Slonims, Andrew Pickles and Louis Appleby and has published in prestigious journals such as PLoS ONE, Brain Research and Clinical Psychology Review.

In The Last Decade

Ming Wai Wan

62 papers receiving 2.0k citations

Peers

Ming Wai Wan
Deborah A. G. Drabick United States
Helen Minnis United Kingdom
Cameron L. Neece United States
Bruno J. Anthony United States
Daniel M. Bagner United States
Ming Wai Wan
Citations per year, relative to Ming Wai Wan Ming Wai Wan (= 1×) peers Peter Szatmari

Countries citing papers authored by Ming Wai Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wai Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Wai Wan. 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 Ming Wai Wan. The network helps show where Ming Wai Wan may publish in the future.

Co-authorship network of co-authors of Ming Wai Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wai Wan. A scholar is included among the top collaborators of Ming Wai Wan 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 Ming Wai Wan. Ming Wai Wan 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
2.
Maddox, R. Neil, Katherine Berry, & Ming Wai Wan. (2025). Parental understanding of mental health in young children: The development and initial validation of the parental child mental health literacy questionnaire. Mental Health & Prevention. 37. 200393–200393. 1 indexed citations
3.
Green, Jonathan, et al.. (2025). Caregiver-infant interactions in infants at elevated familial likelihood for autism in India. Infant Behavior and Development. 79. 102060–102060. 1 indexed citations
4.
Maddox, R. Neil, Katherine Berry, & Ming Wai Wan. (2025). What do parents know and feel about mental health in young children? A mixed methods systematic review of global parental mental health literacy. Current Psychology. 44(10). 9417–9434.
5.
Garg, Shruti, Debbie Smith, Jannath Begum Ali, et al.. (2025). Parent-infant interaction in the context of emerging neurodiversities: Neurofibromatosis 1 and elevated likelihood of ADHD. Infant Behavior and Development. 79. 102036–102036.
6.
O’Connor, Erin, Karli Treyvaud, Cherie Green, et al.. (2025). Caregiver broader autism phenotype does not moderate the effect of early caregiver-mediated support on infant language outcomes. Infant Behavior and Development. 80. 102093–102093.
7.
Carter, Lesley‐Anne, Jonathan Green, Andrew Whitehouse, et al.. (2024). Which emerging autism features at 12 months of age are associated with later parent-child interaction?. Research in autism spectrum disorders. 119. 102525–102525. 3 indexed citations
8.
Jones, Emily J. H., et al.. (2024). Parent–infant interaction trajectories in infants with an elevated likelihood for autism in relation to 3‐year clinical outcome. Autism Research. 17(10). 2018–2029. 6 indexed citations
9.
Wan, Ming Wai, et al.. (2024). Are narrative story stem methods valid in “non-Western” contexts? A systematic review. International Journal of Behavioral Development. 49(1). 56–79.
10.
Wittkowski, Anja, et al.. (2024). Manualised Attachment-Based Interventions for Improving Caregiver-Infant Relationships: A Two-Stage Systematic Review. Clinical Child and Family Psychology Review. 28(1). 71–100. 1 indexed citations
11.
Bedford, Rachael, Jonathan Green, Teodora Gliga, et al.. (2024). Parent‐mediated intervention in infants with an elevated likelihood for autism reduces dwell time during a gaze‐following task. Autism Research. 17(11). 2346–2354. 1 indexed citations
12.
Hudry, Kristelle, Jodie Smith, Sarah Pillar, et al.. (2023). The Utility of Natural Language Samples for Assessing Communication and Language in Infants Referred with Early Signs of Autism. Research on Child and Adolescent Psychopathology. 51(4). 529–539. 6 indexed citations
13.
Kiran, Tayyeba, Ming Wai Wan, Paul Bassett, et al.. (2023). Supporting depressed fathers following child birth- a partner inclusive, culturally sensitive, low literacy parenting program. Journal of Psychosomatic Research. 169. 111305–111305. 1 indexed citations
14.
Smith, Jodie, Lacey Chetcuti, Kandice J. Varcin, et al.. (2022). Caregiver sensitivity predicts infant language use, and infant language complexity predicts caregiver language complexity, in the context of possible emerging autism. Autism Research. 16(4). 745–756. 5 indexed citations
15.
Chetcuti, Lacey, Mirko Uljarević, Kandice J. Varcin, et al.. (2021). Caregiver Psychological Distress Predicts Temperament and Social-Emotional Outcomes in Infants with Autism Traits. Research on Child and Adolescent Psychopathology. 49(12). 1669–1681. 3 indexed citations
16.
Wan, Ming Wai, et al.. (2021). Health professionals’ experiences of and attitudes towards mental healthcare for migrants and refugees in Europe: a qualitative systematic review. Transcultural Psychiatry.
17.
Chetcuti, Lacey, Mirko Uljarević, Kandice J. Varcin, et al.. (2020). Subgroups of Temperament Associated with Social–Emotional Difficulties in Infants with Early Signs of Autism. Autism Research. 13(12). 2094–2101. 8 indexed citations
18.
Chetcuti, Lacey, Mirko Uljarević, Kandice J. Varcin, et al.. (2020). The Role of Negative Affectivity in Concurrent Relations Between Caregiver Psychological Distress and Social‐Emotional Difficulties in Infants With Early Signs of Autism. Autism Research. 13(8). 1349–1357. 5 indexed citations
19.
Elmadih, Alya, Ming Wai Wan, Darragh Downey, et al.. (2016). Natural variation in maternal sensitivity is reflected in maternal brain responses to infant stimuli.. Behavioral Neuroscience. 130(5). 500–510. 36 indexed citations
20.
Wan, Ming Wai. (2007). Long-Term Memory and School Performance Following Cognitive Transition at Five to Seven Years.. Research Explorer (The University of Manchester). 7. 1–10. 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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