Alison C. Spence

1.4k total citations
50 papers, 1.1k citations indexed

About

Alison C. Spence is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Psychiatry and Mental health. According to data from OpenAlex, Alison C. Spence has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Public Health, Environmental and Occupational Health, 14 papers in Nutrition and Dietetics and 14 papers in Psychiatry and Mental health. Recurrent topics in Alison C. Spence's work include Obesity, Physical Activity, Diet (38 papers), Child Nutrition and Feeding Issues (14 papers) and Nutritional Studies and Diet (14 papers). Alison C. Spence is often cited by papers focused on Obesity, Physical Activity, Diet (38 papers), Child Nutrition and Feeding Issues (14 papers) and Nutritional Studies and Diet (14 papers). Alison C. Spence collaborates with scholars based in Australia, United Kingdom and New Zealand. Alison C. Spence's co-authors include Karen Campbell, Sarah A. McNaughton, David Crawford, Sandrine Lioret, Kylie D. Hesketh, Adrian J. Cameron, Kylie Ball, Gavin Abbott, Rachel Laws and Eloise Litterbach and has published in prestigious journals such as PEDIATRICS, Journal of Nutrition and Nutrients.

In The Last Decade

Alison C. Spence

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison C. Spence Australia 15 863 277 256 226 181 50 1.1k
Lynn S. Edmunds United States 14 647 0.7× 266 1.0× 235 0.9× 134 0.6× 152 0.8× 21 871
Katherine Isselmann DiSantis United States 14 560 0.6× 165 0.6× 297 1.2× 100 0.4× 111 0.6× 24 836
L. Suzanne Goodell United States 21 631 0.7× 203 0.7× 318 1.2× 191 0.8× 68 0.4× 64 1.0k
Susan Gross United States 21 524 0.6× 360 1.3× 473 1.8× 194 0.9× 120 0.7× 61 1.2k
Lucinda Bell Australia 18 563 0.7× 155 0.6× 138 0.5× 174 0.8× 67 0.4× 50 751
Sanne Gerards Netherlands 18 1.1k 1.2× 449 1.6× 332 1.3× 153 0.7× 158 0.9× 45 1.4k
Roslyn Giglia Australia 24 348 0.4× 382 1.4× 314 1.2× 224 1.0× 368 2.0× 53 1.2k
Rachel E. Blaine United States 14 608 0.7× 218 0.8× 268 1.0× 91 0.4× 49 0.3× 30 793
Bonnie Dudovitz United States 16 769 0.9× 486 1.8× 145 0.6× 105 0.5× 46 0.3× 17 1.2k
Lucia Magee United Kingdom 7 679 0.8× 360 1.3× 100 0.4× 92 0.4× 111 0.6× 17 970

Countries citing papers authored by Alison C. Spence

Since Specialization
Citations

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

Fields of papers citing papers by Alison C. Spence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison C. Spence. 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 Alison C. Spence. The network helps show where Alison C. Spence may publish in the future.

Co-authorship network of co-authors of Alison C. Spence

This figure shows the co-authorship network connecting the top 25 collaborators of Alison C. Spence. A scholar is included among the top collaborators of Alison C. Spence 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 Alison C. Spence. Alison C. Spence 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.
Love, Penelope, et al.. (2025). Can Australian meal kits support food literacy and healthy family meal provisioning? A qualitative study. Health Promotion International. 40(4).
2.
3.
Russell, Catherine G., et al.. (2024). The effects of age on associations between pre-school children's eating behaviour traits and diet quality. Appetite. 203. 107675–107675.
4.
5.
Love, Penelope, et al.. (2023). Meal kit subscription services and opportunities to improve family vegetable consumption. Health Promotion International. 38(6). 2 indexed citations
6.
Spence, Alison C., et al.. (2023). Iron Nutrition of Pre-Schoolers in High-Income Countries: A Review. Nutrients. 15(11). 2616–2616. 2 indexed citations
7.
Johnson, Brittany J., et al.. (2023). Mapping the behaviour change potential of meal kits to positively influence parental food literacy. Public Health Nutrition. 27(1). e16–e16. 1 indexed citations
8.
Spence, Alison C., et al.. (2023). Environmental sustainability and food provision in the early childhood and education setting. Public Health Nutrition. 26(11). 2200–2210. 1 indexed citations
9.
Russell, Catherine G., et al.. (2023). Mothers' descriptions of their feeding strategies in response to fussy eating with children of different levels of trait fussiness. Appetite. 187. 106581–106581. 3 indexed citations
10.
Lacy, Kathleen E., et al.. (2022). Frequency and distribution of dietary energy, vegetable, fruit and discretionary food intakes in 18-month-old Australian children. British Journal Of Nutrition. 130(3). 513–524. 1 indexed citations
11.
Love, Penelope, et al.. (2022). Exploring the Use of a Web-Based Menu Planning Tool in Childcare Services: Qualitative Cross-sectional Survey Study. JMIR Formative Research. 6(7). e35553–e35553. 4 indexed citations
12.
Lamb, Karen E., et al.. (2021). Parenting style as a predictor of dietary score change in children from ages 4 to 14 years. Findings from the Longitudinal Study of Australian Children. Own your potential (DEAKIN). 8 indexed citations
13.
Lacy, Kathleen E., Alison C. Spence, Sarah A. McNaughton, et al.. (2019). Home environment predictors of vegetable and fruit intakes among Australian children aged 18 months. Appetite. 139. 95–104. 11 indexed citations
14.
Morgan, Philip J., Rachel A. Jones, Clare E. Collins, et al.. (2016). Practicalities and Research Considerations for Conducting Childhood Obesity Prevention Interventions with Families. Children. 3(4). 24–24. 18 indexed citations
15.
Cameron, Adrian J., Alison C. Spence, Rachel Laws, et al.. (2015). A Review of the Relationship Between Socioeconomic Position and the Early-Life Predictors of Obesity. Current Obesity Reports. 4(3). 350–362. 99 indexed citations
16.
Spence, Alison C., et al.. (2015). Mothers' perceptions of Melbourne InFANT Program: informing future practice. Health Promotion International. 31(3). 614–622. 10 indexed citations
17.
Spence, Alison C., Sarah A. McNaughton, Sandrine Lioret, et al.. (2013). A Health Promotion Intervention Can Affect Diet Quality in Early Childhood. Journal of Nutrition. 143(10). 1672–1678. 39 indexed citations
18.
Campbell, Karen, Gavin Abbott, Alison C. Spence, et al.. (2013). Home food availability mediates associations between mothers’ nutrition knowledge and child diet. Appetite. 71. 1–6. 74 indexed citations
19.
Lioret, Sandrine, Karen Campbell, David Crawford, et al.. (2012). A parent focused child obesity prevention intervention improves some mother obesity risk behaviors: the Melbourne infant program. International Journal of Behavioral Nutrition and Physical Activity. 9(1). 100–100. 43 indexed citations
20.
Spence, Alison C., Karen Campbell, & Kylie D. Hesketh. (2010). Parental correlates of young children's dietary intakes : a review. Victoria University Research Repository (Victoria University). 17(1). 17–20. 8 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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