Jane Jun‐Xin Ong

945 total citations · 1 hit paper
9 papers, 718 citations indexed

About

Jane Jun‐Xin Ong is a scholar working on Food Science, Speech and Hearing and Nutrition and Dietetics. According to data from OpenAlex, Jane Jun‐Xin Ong has authored 9 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Food Science, 3 papers in Speech and Hearing and 3 papers in Nutrition and Dietetics. Recurrent topics in Jane Jun‐Xin Ong's work include Sensory Analysis and Statistical Methods (4 papers), Dysphagia Assessment and Management (3 papers) and Multisensory perception and integration (2 papers). Jane Jun‐Xin Ong is often cited by papers focused on Sensory Analysis and Statistical Methods (4 papers), Dysphagia Assessment and Management (3 papers) and Multisensory perception and integration (2 papers). Jane Jun‐Xin Ong collaborates with scholars based in United States, Canada and Singapore. Jane Jun‐Xin Ong's co-authors include Walter Strapps, Gilad Barnea, Richard Axel, Kevin J. Lee, Brian Kloss, Gilles Herrada, Yemiliya Berman, Catriona M. Steele, Lisa M. Duizer and Jing Gao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Food Hydrocolloids and Journal of Food Science.

In The Last Decade

Jane Jun‐Xin Ong

8 papers receiving 705 citations

Hit Papers

The genetic design of signaling cascades to record recept... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Jun‐Xin Ong United States 5 360 175 99 90 82 9 718
Tomonari Hamaguchi Japan 13 591 1.6× 100 0.6× 95 1.0× 42 0.5× 169 2.1× 22 1.0k
Shuiming Wang China 17 257 0.7× 77 0.4× 41 0.4× 24 0.3× 79 1.0× 63 743
Rodolphe Auger France 12 336 0.9× 45 0.3× 44 0.4× 38 0.4× 62 0.8× 22 780
Sandeep Dhillon Canada 14 197 0.5× 48 0.3× 11 0.1× 41 0.5× 61 0.7× 23 649
B Hunyady Hungary 10 373 1.0× 175 1.0× 7 0.1× 106 1.2× 130 1.6× 33 873
Jerome A. Moore United States 18 267 0.7× 83 0.5× 11 0.1× 44 0.5× 116 1.4× 25 963
Tariq Zaman Pakistan 15 210 0.6× 133 0.8× 8 0.1× 17 0.2× 34 0.4× 35 610
Victoria Maneu Spain 18 672 1.9× 199 1.1× 5 0.1× 83 0.9× 52 0.6× 42 1.2k
Hengwen Yang China 16 331 0.9× 34 0.2× 10 0.1× 54 0.6× 73 0.9× 35 798

Countries citing papers authored by Jane Jun‐Xin Ong

Since Specialization
Citations

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

Fields of papers citing papers by Jane Jun‐Xin Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Jun‐Xin Ong. 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 Jane Jun‐Xin Ong. The network helps show where Jane Jun‐Xin Ong may publish in the future.

Co-authorship network of co-authors of Jane Jun‐Xin Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Jun‐Xin Ong. A scholar is included among the top collaborators of Jane Jun‐Xin Ong 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 Jane Jun‐Xin Ong. Jane Jun‐Xin Ong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ong, Jane Jun‐Xin & Julien Delarue. (2025). Asking the right question: How should category fit be determined and what is its relationship with sensory attributes of milk and milk alternatives?. Food Quality and Preference. 127. 105436–105436.
2.
Ong, Jane Jun‐Xin, et al.. (2025). Uncovering the sensory properties of commercial and experimental clean label almond milks. Journal of Food Science. 90(2). e70007–e70007. 1 indexed citations
3.
Ong, Jane Jun‐Xin & Julien Delarue. (2024). Milking the label: The impact of category labels on consumer liking and category fit of non-dairy milks. Food Quality and Preference. 123. 105312–105312. 2 indexed citations
4.
Ong, Jane Jun‐Xin & Julien Delarue. (2023). Do humans categorize hierarchically? The case of sugar perception in milk and milk alternatives. Food Quality and Preference. 113. 105069–105069. 4 indexed citations
5.
Steele, Catriona M., Melanie Péladeau-Pigeon, Ashley A. Waito, et al.. (2019). Modulation of Tongue Pressure According to Liquid Flow Properties in Healthy Swallowing. Journal of Speech Language and Hearing Research. 62(1). 22–33. 17 indexed citations
6.
Ong, Jane Jun‐Xin, Catriona M. Steele, & Lisa M. Duizer. (2018). Sensory characteristics of liquids thickened with commercial thickeners to levels specified in the International Dysphagia Diet Standardization Initiative (IDDSI) framework. Food Hydrocolloids. 79. 208–217. 58 indexed citations
7.
Ong, Jane Jun‐Xin, Catriona M. Steele, & Lisa M. Duizer. (2018). Challenges to assumptions regarding oral shear rate during oral processing and swallowing based on sensory testing with thickened liquids. Food Hydrocolloids. 84. 173–180. 80 indexed citations
8.
Gao, Jing, Jane Jun‐Xin Ong, Christiani Jeyakumar Henry, & Weibiao Zhou. (2017). Physical breakdown of bread and its impact on texture perception: A dynamic perspective. Food Quality and Preference. 60. 96–104. 28 indexed citations
9.
Barnea, Gilad, Walter Strapps, Gilles Herrada, et al.. (2007). The genetic design of signaling cascades to record receptor activation. Proceedings of the National Academy of Sciences. 105(1). 64–69. 528 indexed citations breakdown →

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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