Julia Low

669 total citations
25 papers, 488 citations indexed

About

Julia Low is a scholar working on Food Science, Nutrition and Dietetics and Sensory Systems. According to data from OpenAlex, Julia Low has authored 25 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Food Science, 12 papers in Nutrition and Dietetics and 10 papers in Sensory Systems. Recurrent topics in Julia Low's work include Sensory Analysis and Statistical Methods (14 papers), Biochemical Analysis and Sensing Techniques (12 papers) and Olfactory and Sensory Function Studies (10 papers). Julia Low is often cited by papers focused on Sensory Analysis and Statistical Methods (14 papers), Biochemical Analysis and Sensing Techniques (12 papers) and Olfactory and Sensory Function Studies (10 papers). Julia Low collaborates with scholars based in Australia, New Zealand and Spain. Julia Low's co-authors include Russell Keast, Kathleen E. Lacy, Robert McBride, Scott C. Hutchings, Joanne Hort, Li Day, Amanda Dupas de Matos, Jing Feng, Lisa Newman and Qian Janice Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Nutrition.

In The Last Decade

Julia Low

24 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Low Australia 12 306 235 181 85 64 25 488
René de Wijk Netherlands 10 193 0.6× 192 0.8× 150 0.8× 85 1.0× 124 1.9× 17 502
Cordelia A. Running United States 13 406 1.3× 189 0.8× 275 1.5× 183 2.2× 53 0.8× 34 619
R.M.A.J. Ruijschop Netherlands 11 214 0.7× 152 0.6× 154 0.9× 62 0.7× 40 0.6× 20 391
Lisa Newman Australia 12 354 1.2× 194 0.8× 199 1.1× 131 1.5× 89 1.4× 22 611
Camilla Cattaneo Italy 17 355 1.2× 415 1.8× 239 1.3× 98 1.2× 162 2.5× 37 858
Nuala Bobowski United States 12 440 1.4× 238 1.0× 176 1.0× 72 0.8× 296 4.6× 15 714
Marie-Odile Monneuse France 8 265 0.9× 135 0.6× 160 0.9× 72 0.8× 102 1.6× 13 400
Nicolas Godinot Switzerland 10 358 1.2× 127 0.5× 193 1.1× 121 1.4× 79 1.2× 15 604
Maria A. A. P. da Silva Brazil 9 300 1.0× 352 1.5× 192 1.1× 64 0.8× 66 1.0× 9 702
Danielle Nachtigal United States 8 362 1.2× 130 0.6× 298 1.6× 153 1.8× 19 0.3× 11 468

Countries citing papers authored by Julia Low

Since Specialization
Citations

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

Fields of papers citing papers by Julia Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Low

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Low. A scholar is included among the top collaborators of Julia Low 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 Julia Low. Julia Low 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.
Motoki, Kosuke, Julia Low, & Carlos Velasco. (2025). Generative AI framework for sensory and consumer research. Food Quality and Preference. 133. 105600–105600. 3 indexed citations
2.
Low, Julia, et al.. (2025). Older adults and prepared meals: The influence of comfort, nostalgia, and texture preferences on acceptance. Journal of Food Science. 90(1). e17655–e17655.
3.
Low, Julia, et al.. (2024). Exploring fundamentals of immersive environment setups on food sensory perception in space contexts. Science Talks. 12. 100403–100403. 1 indexed citations
4.
Chandrapala, Jayani, et al.. (2024). Food odour perception and affective response in Virtual spacecraft and microgravity body posture (1-G) – Potential ground-based simulations. Food Research International. 197(Pt 2). 115260–115260. 2 indexed citations
5.
Chandrapala, Jayani, Ian Peake, Kevin Kantono, et al.. (2024). Smell perception in virtual spacecraft? A ground-based approach to sensory data collection. International Journal of Food Science & Technology. 59(11). 8540–8550. 5 indexed citations
7.
Low, Julia, et al.. (2023). Understanding barriers of eating unfamiliar fruits and vegetables in children using ‘Sensory Play’: a narrative review. International Journal of Food Science & Technology. 58(8). 4075–4087. 2 indexed citations
8.
Low, Julia, et al.. (2023). The influence of the Mediterranean diet on mood states, anxiety, and depression. Proceedings of The Nutrition Society. 82(OCE2). 2 indexed citations
9.
Newman, Lisa, et al.. (2023). Multisensory and nutritional innovations: A narrative review of opportunities for food designers in supporting long SARS‐CoV ‐2 patients. International Journal of Food Science & Technology. 58(5). 2199–2215. 5 indexed citations
10.
Adhikari, Benu, Julia Low, Margaret A. Brennan, et al.. (2023). Development, characterization, and consumer acceptance evaluation of thermally stable capsule beads containing mixed extracts of green tea and turmeric. Scientific Reports. 13(1). 19299–19299. 2 indexed citations
11.
Low, Julia, et al.. (2022). The who, what, where, when, why and how of measuring emotional response to food. A systematic review. Food Quality and Preference. 100. 104607–104607. 27 indexed citations
12.
Low, Julia, et al.. (2021). Investigating the relative merits of using a mixed reality context for measuring affective response and predicting tea break snack choice. Food Research International. 150(Pt A). 110718–110718. 16 indexed citations
13.
Matos, Amanda Dupas de, et al.. (2021). Comparing liking and attitudes of Chinese immigrants in New Zealand towards drinkable yoghurt: an exploratory study. Food Quality and Preference. 94. 104299–104299. 8 indexed citations
14.
Low, Julia, et al.. (2020). Considering the application of a mixed reality context and consumer segmentation when evaluating emotional response to tea break snacks. Food Quality and Preference. 88. 104113–104113. 34 indexed citations
15.
Low, Julia, Kathleen E. Lacy, Robert McBride, & Russell Keast. (2019). Associations between sweet taste function, oral complex carbohydrate sensitivity, liking and consumption of ad libitum sweet and non-sweet carbohydrate milkshakes among female adults. British Journal Of Nutrition. 122(7). 829–840. 9 indexed citations
16.
Hutchings, Scott C., Julia Low, & Russell Keast. (2018). Sugar reduction without compromising sensory perception. An impossible dream?. Critical Reviews in Food Science and Nutrition. 59(14). 2287–2307. 106 indexed citations
17.
Low, Julia, Kathleen E. Lacy, Robert McBride, & Russell Keast. (2017). Carbohydrate Taste Sensitivity Is Associated with Starch Intake and Waist Circumference in Adults. Journal of Nutrition. 147(12). 2235–2242. 25 indexed citations
18.
Low, Julia, Kathleen E. Lacy, Robert McBride, & Russell Keast. (2017). Evidence supporting oral sensitivity to complex carbohydrates independent of sweet taste sensitivity in humans. PLoS ONE. 12(12). e0188784–e0188784. 25 indexed citations
19.
Low, Julia, Robert McBride, Kathleen E. Lacy, & Russell Keast. (2016). Psychophysical Evaluation of Sweetness Functions Across Multiple Sweeteners. Chemical Senses. 42(2). 111–120. 44 indexed citations
20.
Low, Julia, Kathleen E. Lacy, Robert McBride, & Russell Keast. (2016). The Association between Sweet Taste Function, Anthropometry, and Dietary Intake in Adults. Nutrients. 8(4). 241–241. 52 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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