John E. Hayes

8.9k total citations
180 papers, 5.8k citations indexed

About

John E. Hayes is a scholar working on Nutrition and Dietetics, Sensory Systems and Food Science. According to data from OpenAlex, John E. Hayes has authored 180 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Nutrition and Dietetics, 89 papers in Sensory Systems and 68 papers in Food Science. Recurrent topics in John E. Hayes's work include Biochemical Analysis and Sensing Techniques (101 papers), Olfactory and Sensory Function Studies (83 papers) and Sensory Analysis and Statistical Methods (61 papers). John E. Hayes is often cited by papers focused on Biochemical Analysis and Sensing Techniques (101 papers), Olfactory and Sensory Function Studies (83 papers) and Sensory Analysis and Statistical Methods (61 papers). John E. Hayes collaborates with scholars based in United States, United Kingdom and Netherlands. John E. Hayes's co-authors include Valerie B. Duffy, Linda M. Bartoshuk, Gregory R. Ziegler, Nadia K. Byrnes, Emma L. Feeney, Alissa A. Nolden, Judith R. Kidd, Russell Keast, John E. McGeary and John N. Coupland and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

John E. Hayes

174 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Hayes United States 41 3.9k 2.9k 2.2k 1.5k 667 180 5.8k
Beverly J. Tepper United States 41 3.7k 1.0× 2.7k 0.9× 1.7k 0.8× 1.6k 1.1× 623 0.9× 106 5.1k
Valerie B. Duffy United States 42 5.0k 1.3× 4.3k 1.4× 1.8k 0.8× 2.3k 1.6× 874 1.3× 111 7.1k
Paul Breslin United States 44 4.4k 1.1× 3.3k 1.1× 1.5k 0.7× 2.0k 1.4× 396 0.6× 114 7.2k
Danielle R. Reed United States 56 5.8k 1.5× 4.4k 1.5× 1.0k 0.5× 2.8k 1.9× 721 1.1× 171 9.5k
Harry T. Lawless United States 50 4.3k 1.1× 3.1k 1.0× 5.6k 2.5× 1.7k 1.2× 579 0.9× 133 9.7k
David G. Laing Australia 41 1.9k 0.5× 2.9k 1.0× 742 0.3× 1.7k 1.2× 228 0.3× 103 4.3k
Nathalie Martin Switzerland 38 1.5k 0.4× 791 0.3× 2.2k 1.0× 368 0.3× 869 1.3× 100 4.5k
Rose Marie Pangborn United States 40 2.2k 0.6× 1.4k 0.5× 2.4k 1.1× 788 0.5× 328 0.5× 116 4.7k
Claire Chabanet France 35 1.4k 0.4× 843 0.3× 1.3k 0.6× 401 0.3× 1.5k 2.2× 104 4.0k
Pascal Schlich France 40 2.2k 0.6× 1.1k 0.4× 4.1k 1.8× 342 0.2× 506 0.8× 154 5.2k

Countries citing papers authored by John E. Hayes

Since Specialization
Citations

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

Fields of papers citing papers by John E. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Hayes. 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 John E. Hayes. The network helps show where John E. Hayes may publish in the future.

Co-authorship network of co-authors of John E. Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Hayes. A scholar is included among the top collaborators of John E. Hayes 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 John E. Hayes. John E. Hayes 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.
Smith, Issar, et al.. (2025). Increasing the spiciness of a lunch meal influences oral processing behaviors and decreases food and energy intake. Food Quality and Preference. 131. 105566–105566.
2.
Spinelli, Sara, et al.. (2024). Distinct sensory hedonic functions for sourness in adults. Food Quality and Preference. 116. 105152–105152. 5 indexed citations
3.
Hayes, John E., et al.. (2024). Fat, protein, and temperature each contribute to reductions in capsaicin oral burn. Journal of Food Science. 89(8). 5091–5100. 3 indexed citations
4.
Forde, Ciarán G., et al.. (2024). Unit size influences ad libitum intake in a snacking context via eating rate. Appetite. 197. 107300–107300. 1 indexed citations
5.
Kai, Kai, Gregory R. Ziegler, Helene Hopfer, & John E. Hayes. (2024). What Is Chalky? Investigating Consumer Language and Perception of Fine Particles in Beverages Containing Pea and Potato Starch. Foods. 13(12). 1852–1852. 3 indexed citations
6.
Kai, Kai, Gregory R. Ziegler, & John E. Hayes. (2024). Sugar reduction in chocolate compound by replacement with flours containing small insoluble starch granules. Journal of Food Science. 89(3). 1701–1710. 1 indexed citations
7.
Hannum, Mackenzie E., Danielle R. Reed, Paule V. Joseph, et al.. (2022). The Adaptive Olfactory Measure of Threshold (ArOMa-T): a rapid test of olfactory function. Chemical Senses. 47. 5 indexed citations
8.
Hopfer, Helene, et al.. (2022). Synergistic and antagonistic ingredient interactions as a sugar reduction strategy in chocolate milk. Journal of Sensory Studies. 37(5). 10 indexed citations
9.
Ziegler, Gregory R., et al.. (2022). Salivary α-amylase activity and flow rate explain differences in temporal flavor perception in a chewing gum matrix comprising starch-limonene inclusion complexes. Food Research International. 158. 111573–111573. 16 indexed citations
10.
Keller, Kathleen, et al.. (2022). Do children really eat what they like? Relationships between liking and intake across laboratory test-meals. Appetite. 172. 105946–105946. 14 indexed citations
11.
Zhu, Junjia, et al.. (2022). Comparison of Carcinogen Biomarkers in Smokers of Menthol and Nonmenthol Cigarettes: The 2015–2016 National Health and Nutrition Examination Survey Special Sample. Cancer Epidemiology Biomarkers & Prevention. 31(8). 1539–1545. 8 indexed citations
12.
Rawal, Shristi, Valerie B. Duffy, John E. Hayes, et al.. (2021). Self-Reported Olfactory Dysfunction and Diet Quality: Findings from the 2011–2014 National Health and Nutrition Examination Survey (NHANES). Nutrients. 13(12). 4561–4561. 17 indexed citations
13.
Lin, Cailu, Paul M. Wise, Paul Breslin, et al.. (2020). Studies of Human Twins Reveal Genetic Variation That Affects Dietary Fat Perception. Chemical Senses. 45(6). 467–481. 7 indexed citations
14.
Duffy, Valerie B., John E. Hayes, & Mastaneh Sharafi. (2020). Interactions between retronasal olfaction and taste influence vegetable liking and consumption: A psychophysical investigation. Journal of Agriculture and Food Research. 2. 100044–100044. 13 indexed citations
15.
Castura, John C., et al.. (2017). Characterizing dynamic sensory properties of nutritive and nonnutritive sweeteners with temporal check‐all‐that‐apply. Journal of Sensory Studies. 32(3). 48 indexed citations
16.
Ziegler, Gregory R., et al.. (2016). Salivary protein levels as a predictor of perceived astringency in model systems and solid foods. Physiology & Behavior. 163. 56–63. 25 indexed citations
17.
Roberts, Robert, et al.. (2013). Explaining tolerance for bitterness in chocolate ice cream using solid chocolate preferences. Journal of Dairy Science. 96(8). 4938–4944. 19 indexed citations
18.
Sharafi, Mastaneh, et al.. (2012). Otitis media exposure associates with dietary preference and adiposity: A community-based observational study of at-risk preschoolers. Physiology & Behavior. 106(2). 264–271. 31 indexed citations
19.
Duffy, Valerie B., et al.. (2009). Surveying Food and Beverage Liking. Annals of the New York Academy of Sciences. 1170(1). 558–568. 106 indexed citations
20.
Hayes, John E.. (2007). Translating taste genetics to adiposity: Sensation, preference and intake of high-fat sweet foods. Zootaxa. 3683. 589–94. 3 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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