David Jin

2.0k total citations
48 papers, 1.3k citations indexed

About

David Jin is a scholar working on Food Science, Experimental and Cognitive Psychology and Nutrition and Dietetics. According to data from OpenAlex, David Jin has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Food Science, 16 papers in Experimental and Cognitive Psychology and 15 papers in Nutrition and Dietetics. Recurrent topics in David Jin's work include Sensory Analysis and Statistical Methods (32 papers), Multisensory perception and integration (16 papers) and Biochemical Analysis and Sensing Techniques (14 papers). David Jin is often cited by papers focused on Sensory Analysis and Statistical Methods (32 papers), Multisensory perception and integration (16 papers) and Biochemical Analysis and Sensing Techniques (14 papers). David Jin collaborates with scholars based in New Zealand, Uruguay and Denmark. David Jin's co-authors include Sara R. Jaeger, Gastón Ares, Christina M. Roigard, Sok L. Chheang, Letícia Vidal, Armand V. Cardello, Denise C. Hunter, Geoffrey I. N. Waterhouse, Dongxiao Sun‐Waterhouse and Amy G. Paisley and has published in prestigious journals such as PLoS ONE, Current Biology and Food Research International.

In The Last Decade

David Jin

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Jin New Zealand 22 805 487 299 242 209 48 1.3k
Denise C. Hunter New Zealand 24 820 1.0× 538 1.1× 315 1.1× 300 1.2× 169 0.8× 44 1.5k
Sok L. Chheang New Zealand 23 1.1k 1.3× 607 1.2× 425 1.4× 256 1.1× 274 1.3× 57 1.5k
Michelle K. Beresford New Zealand 18 746 0.9× 459 0.9× 319 1.1× 262 1.1× 150 0.7× 22 1.1k
Joachim J. Schouteten Belgium 23 951 1.2× 406 0.8× 270 0.9× 239 1.0× 212 1.0× 74 1.7k
Lukas Danner Australia 22 820 1.0× 243 0.5× 300 1.0× 300 1.2× 137 0.7× 36 1.2k
Christina M. Roigard New Zealand 17 753 0.9× 335 0.7× 177 0.6× 166 0.7× 207 1.0× 29 986
Sara Spinelli Italy 29 1.5k 1.9× 973 2.0× 592 2.0× 348 1.4× 226 1.1× 94 2.3k
Damir D. Torrico New Zealand 30 1.5k 1.8× 507 1.0× 436 1.5× 373 1.5× 160 0.8× 104 2.5k
Derek V. Byrne Denmark 31 1.2k 1.5× 661 1.4× 395 1.3× 230 1.0× 321 1.5× 107 2.6k
Catherine Dacremont France 27 1.4k 1.7× 620 1.3× 373 1.2× 407 1.7× 406 1.9× 47 2.1k

Countries citing papers authored by David Jin

Since Specialization
Citations

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

Fields of papers citing papers by David Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Jin

This figure shows the co-authorship network connecting the top 25 collaborators of David Jin. A scholar is included among the top collaborators of David Jin 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 David Jin. David Jin 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.
Zhao, Charlie W., Martin Guha, David Jin, et al.. (2025). Auditory sensory processing induces cortical and thalamic event-related desynchronization in the mouse. PLoS ONE. 20(10). e0334293–e0334293.
2.
Jaeger, Sara R., David Jin, Christina M. Roigard, & Armand V. Cardello. (2024). Consumer evaluations of commercially available plant-based cheddar cheese alternatives reveal inferior taste, nutrition and emotional appeal. Food Research International. 200. 115452–115452.
3.
Jaeger, Sara R., David Jin, & Christina M. Roigard. (2024). Plant-Based Alternatives Need Not Be Inferior: Findings from a Sensory and Consumer Research Case Study with Cream Cheese. Foods. 13(4). 567–567. 12 indexed citations
4.
Hutchings, Scott C., et al.. (2024). Comparison of free-comment online product reviews and central location product testing for sensory product characterisation: A case study with coffee consumers. Food Quality and Preference. 125. 105377–105377. 1 indexed citations
5.
Jaeger, Sara R., et al.. (2023). How do CATA questions work? Relationship between likelihood of selecting a term and perceived attribute intensity. Journal of Sensory Studies. 38(4). 6 indexed citations
6.
Jaeger, Sara R., et al.. (2023). Consumer perception of plant-based yoghurt: Sensory drivers of liking and emotional, holistic and conceptual associations. Food Research International. 167. 112666–112666. 47 indexed citations
7.
Cardello, Armand V., et al.. (2023). Sensory drivers of liking, emotions, conceptual and sustainability concepts in plant-based and dairy yoghurts. Food Quality and Preference. 113. 105077–105077. 22 indexed citations
8.
Jaeger, Sara R., et al.. (2021). The negative influence of food neophobia on food and beverage liking: Time to look beyond extreme groups analysis?. Food Quality and Preference. 92. 104217–104217. 21 indexed citations
9.
Jin, David, et al.. (2021). An Image Quality Comparison Study Between Homemade and Commercial Dental Cone-Beam CT Systems. Journal of Medical and Biological Engineering. 41(6). 870–880. 1 indexed citations
10.
Jaeger, Sara R., et al.. (2021). Emoji for Food and Beverage Research: Pleasure, Arousal and Dominance Meanings and Appropriateness for Use. Foods. 10(11). 2880–2880. 11 indexed citations
11.
Jaeger, Sara R., David Jin, Denise C. Hunter, Christina M. Roigard, & Duncan Hedderley. (2020). Multi-response approaches in product-focused investigations: Methodological variations across three case studies. Food Research International. 132. 109113–109113. 12 indexed citations
12.
Jaeger, Sara R., et al.. (2020). Minimal effect of evoked contexts in product testing with consumers: Case studies using typical consumption situations. Food Research International. 132. 109059–109059. 6 indexed citations
13.
Hunter, Denise C., Michelle K. Beresford, A. White, et al.. (2018). Measuring perception of acidity and sweetness in kiwifruit. Acta Horticulturae. 191–198. 3 indexed citations
14.
Jaeger, Sara R., Christina M. Roigard, David Jin, Letícia Vidal, & Gastón Ares. (2018). Valence, arousal and sentiment meanings of 33 facial emoji: Insights for the use of emoji in consumer research. Food Research International. 119. 895–907. 100 indexed citations
15.
Linkov, Igor, et al.. (2014). A decision-analytic approach to predict state regulation of hydraulic fracturing. Environmental Sciences Europe. 26(1). 20–20. 5 indexed citations
16.
Jaeger, Sara R., Helene Christine Reinbach, Christina M. Roigard, et al.. (2014). Sensory characterisation of food and beverage stimuli containing β-ionone and differences between individuals by genotype for rs6591536. Food Research International. 62. 205–214. 5 indexed citations
17.
Jaeger, Sara R., Jeremy F. McRae, Christina M. Bava, et al.. (2013). A Mendelian Trait for Olfactory Sensitivity Affects Odor Experience and Food Selection. Current Biology. 23(16). 1601–1605. 122 indexed citations
18.
McRae, Jeremy F., Sara R. Jaeger, Christina M. Bava, et al.. (2013). Identification of Regions Associated with Variation in Sensitivity to Food-Related Odors in the Human Genome. Current Biology. 23(16). 1596–1600. 62 indexed citations
19.
20.
Ares, Gastón, Sara R. Jaeger, Christina M. Bava, et al.. (2013). CATA questions for sensory product characterization: Raising awareness of biases. Food Quality and Preference. 30(2). 114–127. 84 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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