Megan Tones

805 total citations
42 papers, 509 citations indexed

About

Megan Tones is a scholar working on Education, Demography and Genetics. According to data from OpenAlex, Megan Tones has authored 42 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Education, 13 papers in Demography and 9 papers in Genetics. Recurrent topics in Megan Tones's work include Retirement, Disability, and Employment (12 papers), Genetic Syndromes and Imprinting (9 papers) and Labor market dynamics and wage inequality (7 papers). Megan Tones is often cited by papers focused on Retirement, Disability, and Employment (12 papers), Genetic Syndromes and Imprinting (9 papers) and Labor market dynamics and wage inequality (7 papers). Megan Tones collaborates with scholars based in Australia, Ireland and United States. Megan Tones's co-authors include Hitendra Pillay, Louisa Tomas, Stephen M. Ritchie, Jennifer Fraser, Katherine M. White, Suzanne Carrington, Anthony W. Parker, Beth Saggers, Joanne Ramsbotham and Debra Anderson and has published in prestigious journals such as Spine, Journal of Autism and Developmental Disorders and Journal of Research in Science Teaching.

In The Last Decade

Megan Tones

37 papers receiving 448 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 Tones Australia 13 260 71 54 53 50 42 509
Jennifer L. Jones United States 12 194 0.7× 66 0.9× 44 0.8× 126 2.4× 19 0.4× 50 488
Matthew Boswell United States 18 267 1.0× 57 0.8× 42 0.8× 89 1.7× 34 0.7× 44 815
Sally A. Dillow United States 6 226 0.9× 57 0.8× 60 1.1× 44 0.8× 13 0.3× 9 436
Ingunn Størksen Norway 18 327 1.3× 143 2.0× 27 0.5× 157 3.0× 92 1.8× 40 748
Jacob Hibel United States 12 463 1.8× 179 2.5× 36 0.7× 173 3.3× 29 0.6× 19 711
Amy D. Rose United States 7 354 1.4× 34 0.5× 37 0.7× 25 0.5× 38 0.8× 66 539
Karen Dooley Australia 13 295 1.1× 44 0.6× 36 0.7× 56 1.1× 74 1.5× 60 542
Julia Johnson United Kingdom 11 120 0.5× 34 0.5× 84 1.6× 40 0.8× 79 1.6× 25 439
Emily K. Miller United States 12 161 0.6× 30 0.4× 56 1.0× 115 2.2× 25 0.5× 29 446
Susan Black United States 12 270 1.0× 53 0.7× 33 0.6× 37 0.7× 7 0.1× 76 455

Countries citing papers authored by Megan Tones

Since Specialization
Citations

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

Fields of papers citing papers by Megan Tones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Tones

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Tones. A scholar is included among the top collaborators of Megan Tones 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 Tones. Megan Tones 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.
Buessing, Marric, et al.. (2025). The economic impact of caregiving for individuals with Angelman syndrome in the United States: results from a caregiver survey. Orphanet Journal of Rare Diseases. 20(1). 82–82.
2.
Whelan, Sally, Arlene Mannion, Megan Tones, et al.. (2024). Association between sleep disturbances and challenging behavior in children and adolescents with Angelman syndrome. Sleep Medicine. 123. 1–6. 2 indexed citations
3.
Leader, Geraldine, et al.. (2024). Factors associated with sleep disturbances in children and adolescents with Angelman Syndrome. Sleep Medicine. 117. 9–17. 3 indexed citations
4.
Tones, Megan, et al.. (2019). The impact of seizure and gastrophageal reflux history on sleep and behaviour in Angelman syndrome. Murdoch Research Repository (Murdoch University). 1 indexed citations
5.
Saggers, Beth, Megan Tones, David Trembath, et al.. (2019). Promoting a Collective Voice from Parents, Educators and Allied Health Professionals on the Educational Needs of Students on the Autism Spectrum. Journal of Autism and Developmental Disorders. 49(9). 3845–3865. 28 indexed citations
6.
Parker, Anthony W., et al.. (2017). Development of a multilevel health and safety climate survey tool within a mining setting. Journal of Safety Research. 62. 173–180. 27 indexed citations
7.
Pillay, Hitendra, et al.. (2016). A case for rethinking inclusive education policy creation in developing countries. Faculty of Education. 1 indexed citations
8.
Pillay, Hitendra, et al.. (2015). National profiles of in-country capacity to support disability-inclusive education; Fiji, Samoa, Soloman Islands and Vanuatu. QUT ePrints (Queensland University of Technology). 4 indexed citations
9.
Luke, Allan, Courtney B. Cazden, Val Klenowski, et al.. (2013). A Summative Evaluation of the Stronger Smarter Learning Communities Project: 2013 Report - Volume 1 and Volume 2. QUT ePrints (Queensland University of Technology). 3 indexed citations
10.
Luke, Allan, Courtney B. Cazden, Val Klenowski, et al.. (2011). A Formative Evaluation of the Stronger Smarter Learning Communities Project: 2011 Report. QUT ePrints (Queensland University of Technology). 5 indexed citations
11.
Pillay, Hitendra, et al.. (2010). Training and development for transitional employment in mature-aged manual workers. QUT ePrints (Queensland University of Technology). 50(1). 116–140. 1 indexed citations
12.
Pillay, Hitendra, et al.. (2010). Transitional employment aspirations for bridging retirement: Implications for training and development. European journal of training and development. 1 indexed citations
13.
Tones, Megan, Hitendra Pillay, & Jennifer Fraser. (2010). The influence of demographics and work related goals on adaptive development for work related learning amongst private hospital employees. Contemporary Nurse. 36(1-2). 143–158. 6 indexed citations
14.
Tones, Megan, et al.. (2010). The Link between Age, Career Goals, and Adaptive Development for Work-Related Learning Among Local Government Employees. Journal of Career Assessment. 19(1). 92–110. 8 indexed citations
15.
Anderson, Debra, Glenn Gardner, Joanne Ramsbotham, & Megan Tones. (2009). E-portfolios: developing nurse practitioner competence and capability. Australian journal of advanced nursing. 26(4). 20 indexed citations
16.
Tones, Megan, et al.. (2009). Supporting mature-aged students from a low socioeconomic background. Higher Education. 58(4). 505–529. 71 indexed citations
17.
Tones, Megan & Hitendra Pillay. (2008). The Learning and Development Survey: Further Evaluation of its Psychometric Properties. QUT ePrints (Queensland University of Technology). 7 indexed citations
18.
Tones, Megan, et al.. (2007). The impact of patient self assessment of deformity on HRQL in adults with scoliosis. Scoliosis. 2(1). 14–14. 1 indexed citations
19.
Pillay, Hitendra, et al.. (2006). Career aspirations of older workers: An Australian study. QUT ePrints (Queensland University of Technology). 1 indexed citations
20.
Tones, Megan, et al.. (2006). A Review of Quality of Life and Psychosocial Issues in Scoliosis. Spine. 31(26). 3027–3038. 16 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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