Moon Yeon Youn

437 total citations
23 papers, 325 citations indexed

About

Moon Yeon Youn is a scholar working on Nutrition and Dietetics, Biomedical Engineering and Food Science. According to data from OpenAlex, Moon Yeon Youn has authored 23 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nutrition and Dietetics, 12 papers in Biomedical Engineering and 8 papers in Food Science. Recurrent topics in Moon Yeon Youn's work include Advanced Chemical Sensor Technologies (12 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Olfactory and Sensory Function Studies (6 papers). Moon Yeon Youn is often cited by papers focused on Advanced Chemical Sensor Technologies (12 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Olfactory and Sensory Function Studies (6 papers). Moon Yeon Youn collaborates with scholars based in South Korea, United States and Australia. Moon Yeon Youn's co-authors include Eui‐Cheol Shin, Seong Jun Hong, Young Joo Park, Kyong Soo Park, Kang-Yeol Yu, Byung‐Soo Youn, Young Min Cho, Hong Kyu Lee, Jung Hee Kim and Sojeong Yoon and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Food Chemistry and Molecules.

In The Last Decade

Moon Yeon Youn

23 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moon Yeon Youn South Korea 9 158 99 73 53 51 23 325
Bàrbara Reynés Spain 15 158 1.0× 320 3.2× 44 0.6× 15 0.3× 69 1.4× 27 534
Jun KASHIMURA Japan 10 81 0.5× 114 1.2× 30 0.4× 16 0.3× 111 2.2× 21 358
Francesco Suriano Belgium 15 116 0.7× 255 2.6× 28 0.4× 35 0.7× 113 2.2× 16 688
Mahmoud Ismail United States 8 54 0.3× 61 0.6× 23 0.3× 45 0.8× 25 0.5× 10 390
Clémentine Thabuis France 12 64 0.4× 101 1.0× 21 0.3× 110 2.1× 121 2.4× 24 463
Zahra Gaeini Iran 12 44 0.3× 166 1.7× 23 0.3× 32 0.6× 98 1.9× 26 472
Gerardo Blancas‐Flores Mexico 12 58 0.4× 78 0.8× 22 0.3× 18 0.3× 76 1.5× 25 387
Youngji Han South Korea 12 87 0.6× 151 1.5× 14 0.2× 13 0.2× 62 1.2× 27 392
Behnaz Aslanıpour Türkiye 9 57 0.4× 91 0.9× 35 0.5× 17 0.3× 24 0.5× 18 290
Xiumei Ke China 10 47 0.3× 17 0.2× 19 0.3× 31 0.6× 33 0.6× 28 271

Countries citing papers authored by Moon Yeon Youn

Since Specialization
Citations

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

Fields of papers citing papers by Moon Yeon Youn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moon Yeon Youn. 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 Moon Yeon Youn. The network helps show where Moon Yeon Youn may publish in the future.

Co-authorship network of co-authors of Moon Yeon Youn

This figure shows the co-authorship network connecting the top 25 collaborators of Moon Yeon Youn. A scholar is included among the top collaborators of Moon Yeon Youn 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 Moon Yeon Youn. Moon Yeon Youn 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.
Hong, Seong Jun, Sojeong Yoon, Moon Yeon Youn, et al.. (2025). Exploring flavor patterns in the peel of tangor: A new citrus variety based on electronic sensors and GC–MS/O. Food Chemistry. 485. 144415–144415. 2 indexed citations
2.
Yoon, Sojeong, et al.. (2024). Physicochemical and chemosensory properties of pomegranate (Punica granatum L.) seeds under various oven-roasting conditions. Food Chemistry. 446. 138907–138907. 11 indexed citations
3.
Yoon, Sojeong, et al.. (2024). Analysis of the Physicochemical Properties of Hemp Seed Oil Extracted from Roasted Hemp Seeds (Cannabis sativa L.). Journal of the Korean Society of Food Science and Nutrition. 53(4). 378–384. 1 indexed citations
4.
Yoon, Sojeong, et al.. (2024). Oven-Roasting Effects the Fatty Acid Composition, Antioxidant Properties, and Oxidative Stability of Pomegranate (Punica granatum L.) Seed Oil. Preventive Nutrition and Food Science. 29(2). 190–198. 2 indexed citations
5.
6.
Youn, Moon Yeon, Seong Jun Hong, Sojeong Yoon, et al.. (2024). The inhalation effect of Osmanthus fragrans var. Aurantiacus on physiological parameters in chronically stressed rats. Food Chemistry X. 22. 101304–101304. 1 indexed citations
7.
Yoon, Sojeong, Seong Jun Hong, Hyun Jin Park, et al.. (2024). Characterization of taste and aroma profile in pomegranate (Punica granatum L.) seed oil using electronic sensors, GC-MS/olfactometry. Food Bioscience. 61. 104554–104554. 4 indexed citations
8.
9.
Yoon, Sojeong, et al.. (2024). Oven roasting effects on the physicochemical and chemosensory characteristics of hemp seeds (Cannabis sativa L.). Journal of Food Science and Technology. 62(2). 344–358. 1 indexed citations
10.
Hong, Ki‐Bae, Sojeong Yoon, Seong Jun Hong, et al.. (2024). Analysis of the Chemosensory Properties of Red Beet (Beta vulagaris L.) with Ascorbic Acid Using Electronic Nose, Electronic Tongue, and GC-MS/O. Journal of the Korean Society of Food Science and Nutrition. 53(4). 367–377. 1 indexed citations
11.
12.
Yoon, Sojeong, Moon Yeon Youn, Seong Jun Hong, et al.. (2023). Chemometric approach for an application of Atlantic salmons (Oncorhynchus keta) by-product for potential food sources. Food Science and Biotechnology. 33(4). 855–876. 5 indexed citations
13.
Yoon, Sojeong, Ki‐Bae Hong, Seong Jun Hong, et al.. (2023). Flavor and Taste of Red Beet (Beta vulgaris L.) Harvested in Jeju Island Using the Electronic Nose, Electronic Tongue, and GC-MS. Journal of the Korean Society of Food Science and Nutrition. 52(9). 907–916. 5 indexed citations
14.
Youn, Moon Yeon, Sojeong Yoon, Seong Jun Hong, et al.. (2023). Evaluation of the Chemosensoric Properties of Commercially Available Dog Foods Using Electronic Sensors and GC-MS/O Analysis. Molecules. 28(14). 5509–5509. 3 indexed citations
15.
16.
Hong, Seong Jun, et al.. (2023). Comparative study on volatile compounds and taste components of various citrus cultivars using electronic sensors, GC–MS, and GC-olfactometry. Food Science and Biotechnology. 33(8). 1825–1837. 5 indexed citations
17.
Hong, Seong Jun, Sojeong Yoon, Moon Yeon Youn, et al.. (2022). Olfactory Stimulation by Fennel (Foeniculum vulgare Mill.) Essential Oil Improves Lipid Metabolism and Metabolic Disorders in High Fat-Induced Obese Rats. Nutrients. 14(4). 741–741. 12 indexed citations
18.
Hong, Seong Jun, et al.. (2020). Comparison of Physicochemical and Sensory Properties of Bean Sprout and Peanut Sprout Extracts, Subsequent to Roasting. Journal of the Korean Society of Food Science and Nutrition. 49(4). 356–369. 18 indexed citations
19.
Hong, Seong Jun, et al.. (2020). Comparison between Asiatic Jasmine and White-Flower Asian Jasmine in Quality Characteristics during the Parching Process. Journal of the Korean Society of Food Science and Nutrition. 49(7). 704–715. 5 indexed citations
20.
Kim, Tae-Sung, Moon Yeon Youn, B. E. Min, et al.. (2005). Molecular analysis of quasispecies of Kyuri green mottle mosaic virus. Virus Research. 110(1-2). 161–167. 9 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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