Megan Willis

1.6k total citations
30 papers, 606 citations indexed

About

Megan Willis is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Megan Willis has authored 30 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 12 papers in Clinical Psychology and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Megan Willis's work include Face Recognition and Perception (12 papers), Child Abuse and Trauma (7 papers) and Psychology of Moral and Emotional Judgment (6 papers). Megan Willis is often cited by papers focused on Face Recognition and Perception (12 papers), Child Abuse and Trauma (7 papers) and Psychology of Moral and Emotional Judgment (6 papers). Megan Willis collaborates with scholars based in Australia, United Kingdom and United States. Megan Willis's co-authors include Romina Palermo, Darren Burke, Davide Rivolta, Andrew J. Calder, Charles Wilson, Elinor McKone, Laurie A. Miller, Nicole Ridley, Ans Vercammen and Helen F. Dodd and has published in prestigious journals such as PLoS ONE, NeuroImage and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Megan Willis

27 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan Willis Australia 12 437 250 109 102 64 30 606
Jessica A. Collins United States 14 498 1.1× 115 0.5× 122 1.1× 59 0.6× 32 0.5× 22 719
Susan Sullivan United Kingdom 12 477 1.1× 255 1.0× 178 1.6× 55 0.5× 66 1.0× 14 890
Taiyong Bi China 14 454 1.0× 141 0.6× 65 0.6× 24 0.2× 98 1.5× 51 614
Jenny Rehnman Sweden 7 433 1.0× 274 1.1× 74 0.7× 79 0.8× 37 0.6× 9 621
Federica Savazzi Italy 10 209 0.5× 87 0.3× 83 0.8× 52 0.5× 39 0.6× 14 404
Marta Calbi Italy 14 356 0.8× 207 0.8× 178 1.6× 31 0.3× 30 0.5× 25 514
Whitney I. Mattson United States 15 247 0.6× 152 0.6× 162 1.5× 29 0.3× 150 2.3× 34 554
Nora Breen Australia 11 544 1.2× 124 0.5× 148 1.4× 25 0.2× 137 2.1× 17 746
Manila Vannucci Italy 19 738 1.7× 290 1.2× 128 1.2× 25 0.2× 57 0.9× 47 890
Sona Patel United States 14 228 0.5× 344 1.4× 84 0.8× 21 0.2× 61 1.0× 32 583

Countries citing papers authored by Megan Willis

Since Specialization
Citations

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

Fields of papers citing papers by Megan Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Willis. A scholar is included among the top collaborators of Megan Willis 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 Megan Willis. Megan Willis 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.
Higgins, Daryl, Megan Willis, David Lawrence, et al.. (2025). Determining the effect of out-of-home care on mental health disorders: A propensity score-matched study of child maltreatment intensity. Child Abuse & Neglect. 167. 107571–107571.
3.
Garcia, Xochitl de la Piedad, et al.. (2025). The relationship between attachment styles and narcissism: a systematic and meta-analytic review. Personality and Individual Differences. 244. 113255–113255.
4.
Mathews, Ben, Daryl Higgins, David Finkelhor, et al.. (2024). The prevalence of child sexual abuse perpetrated by leaders or other adults in religious organizations in Australia. Child Abuse & Neglect. 155. 106946–106946. 5 indexed citations
5.
Garcia, Xochitl de la Piedad, et al.. (2024). Machiavellianism and Intimate Partner Violence Perpetration: A Systematic Review and Meta-Analysis. Trauma Violence & Abuse. 25(5). 4159–4172. 2 indexed citations
6.
Carnino, Jonathan M., Megan Willis, Michael B. Cohen, et al.. (2024). Assessing ChatGPT’s Responses to Otolaryngology Patient Questions. Annals of Otology Rhinology & Laryngology. 133(7). 658–664. 7 indexed citations
7.
Higgins, Daryl, Megan Willis, David Lawrence, et al.. (2024). The Prevalence and Patterns of Maltreatment, Childhood Adversity, and Mental Health Disorders in an Australian Out-Of-Home Care Sample. Child Maltreatment. 30(1). 42–54. 3 indexed citations
8.
Higgins, Daryl, Megan Willis, David Lawrence, et al.. (2024). Dimensions of Child Maltreatment in Australians With a History of Out-of-Home Care. Child Maltreatment. 30(3). 525–539. 1 indexed citations
9.
Willis, Megan, et al.. (2023). Dating in the dark: Vulnerable narcissism predicts inauthentic self-presentation in online dating. Telematics and Informatics. 81. 101985–101985. 8 indexed citations
10.
Sulikowski, Danielle, Simone Favelle, Elinor McKone, Megan Willis, & Darren Burke. (2023). The composite effect reveals that human (but not other primate) faces are special to humans. PLoS ONE. 18(5). e0286451–e0286451. 1 indexed citations
11.
Higgins, Daryl, et al.. (2023). Scoping Review of the Definitions Used to Describe and Understand Harmful Sexual Behaviors in Children and Young People. Trauma Violence & Abuse. 25(4). 2569–2583. 5 indexed citations
12.
Bennett, Joanne M., et al.. (2021). Emotion Recognition and Traumatic Brain Injury: a Systematic Review and Meta-Analysis. Neuropsychology Review. 32(3). 520–536. 19 indexed citations
13.
Williams, Justin H. G., Charlotte F. Huggins, Barbra Zupan, et al.. (2020). A sensorimotor control framework for understanding emotional communication and regulation. Neuroscience & Biobehavioral Reviews. 112. 503–518. 21 indexed citations
14.
Ewing, Louise, Clare Sutherland, & Megan Willis. (2019). Children show adult-like facial appearance biases when trusting others.. Developmental Psychology. 55(8). 1694–1701. 28 indexed citations
15.
Willis, Megan, et al.. (2015). The contribution of emotional empathy to approachability judgments assigned to emotional faces is context specific. Frontiers in Psychology. 6. 1209–1209. 8 indexed citations
16.
Willis, Megan, et al.. (2015). Anodal tDCS targeting the right orbitofrontal cortex enhances facial expression recognition. Social Cognitive and Affective Neuroscience. 10(12). 1677–1683. 41 indexed citations
17.
Willis, Megan, et al.. (2014). The nature of facial expression recognition deficits following orbitofrontal cortex damage.. Neuropsychology. 28(4). 613–623. 33 indexed citations
18.
Palermo, Romina, Megan Willis, Davide Rivolta, et al.. (2011). Impaired holistic coding of facial expression and facial identity in congenital prosopagnosia. Neuropsychologia. 49(5). 1226–1235. 165 indexed citations
19.
Willis, Megan, Romina Palermo, & Darren Burke. (2011). Judging approachability on the face of it: The influence of face and body expressions on the perception of approachability.. Emotion. 11(3). 514–523. 76 indexed citations
20.
Willis, Megan, et al.. (2009). Switching associations between facial identity and emotional expression: A behavioural and ERP study. NeuroImage. 50(1). 329–339. 20 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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