Yoon Jung Yang

1.9k total citations
79 papers, 1.6k citations indexed

About

Yoon Jung Yang is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Yoon Jung Yang has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Public Health, Environmental and Occupational Health, 36 papers in Nutrition and Dietetics and 12 papers in Physiology. Recurrent topics in Yoon Jung Yang's work include Nutritional Studies and Diet (27 papers), Nutrition, Health and Food Behavior (25 papers) and Obesity, Physical Activity, Diet (8 papers). Yoon Jung Yang is often cited by papers focused on Nutritional Studies and Diet (27 papers), Nutrition, Health and Food Behavior (25 papers) and Obesity, Physical Activity, Diet (8 papers). Yoon Jung Yang collaborates with scholars based in South Korea, United States and Puerto Rico. Yoon Jung Yang's co-authors include Mi Kyung Kim, Bong Chul Chung, Se‐Young Oh, Se Chan Kang, Dong Hyun Kim, Younjhin Ahn, Jae Eun Shim, Seon Hwa Lee, In Su Kim and Vaishali Vajpayee and has published in prestigious journals such as American Journal of Clinical Nutrition, Chemical Communications and Scientific Reports.

In The Last Decade

Yoon Jung Yang

76 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon Jung Yang South Korea 19 380 376 255 223 203 79 1.6k
Juan Llopis Spain 27 587 1.5× 196 0.5× 258 1.0× 280 1.3× 75 0.4× 111 2.4k
Nor Fadilah Rajab Malaysia 26 178 0.5× 143 0.4× 385 1.5× 547 2.5× 263 1.3× 145 2.4k
Michael D. Brown United States 22 127 0.3× 203 0.5× 327 1.3× 361 1.6× 129 0.6× 65 1.6k
Timothy B. Chaston Australia 19 287 0.8× 184 0.5× 670 2.6× 240 1.1× 132 0.7× 25 2.0k
Esther Molina‐Montes Spain 23 242 0.6× 662 1.8× 372 1.5× 157 0.7× 78 0.4× 69 1.9k
José María Huerta Spain 26 307 0.8× 632 1.7× 670 2.6× 260 1.2× 242 1.2× 84 2.3k
Joanne Stocks United Kingdom 24 438 1.2× 163 0.4× 769 3.0× 632 2.8× 148 0.7× 57 3.0k
Maria H. Borawska Poland 26 366 1.0× 118 0.3× 80 0.3× 307 1.4× 100 0.5× 108 2.1k
Julie A. Mares‐Perlman United States 21 381 1.0× 674 1.8× 313 1.2× 717 3.2× 85 0.4× 27 2.6k
Sufang Wang China 22 195 0.5× 352 0.9× 159 0.6× 165 0.7× 33 0.2× 68 1.5k

Countries citing papers authored by Yoon Jung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Jung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon Jung Yang. 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 Yoon Jung Yang. The network helps show where Yoon Jung Yang may publish in the future.

Co-authorship network of co-authors of Yoon Jung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon Jung Yang. A scholar is included among the top collaborators of Yoon Jung Yang 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 Yoon Jung Yang. Yoon Jung Yang 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.
Park, Seyeon, et al.. (2024). Comparison of food and nutrient intake according to the presence of glaucoma among Korean older adults. Nutrition Research and Practice. 18(5). 701–701. 2 indexed citations
3.
Choi, Bo Youl, et al.. (2022). Association of diet quality score with the risk of mild cognitive impairment in the elderly. Nutrition Research and Practice. 16(5). 673–673. 6 indexed citations
4.
Kim, Seok Joong, et al.. (2021). Comparison of Nutritional Status according to Oral Health of the Elderly: Using Data from the 2015 Korea National Health and Nutrition Examination Survey. Journal of the Korean Society of Food Science and Nutrition. 50(5). 531–541. 1 indexed citations
5.
Kim, Jin‐Ki, Hyunjung Oh, Kyunga Kim, et al.. (2021). Interaction of genetic and environmental factors for body fat mass control: observational study for lifestyle modification and genotyping. Scientific Reports. 11(1). 13180–13180. 5 indexed citations
6.
Eicher‐Miller, Heather A., Carol J. Boushey, Regan L Bailey, & Yoon Jung Yang. (2020). Frequently Consumed Foods and Energy Contributions among Food Secure and Insecure U.S. Children and Adolescents. Nutrients. 12(2). 304–304. 10 indexed citations
7.
Kim, Jin-Ho, et al.. (2020). Validation of nutrient intake of smartphone application through comparison of photographs before and after meals. Journal of Nutrition and Health. 53(3). 319–319. 3 indexed citations
8.
Yang, Yoon Jung, et al.. (2020). A Modified Recommended Food Score Is Inversely Associated with High Blood Pressure in Korean Adults. Nutrients. 12(11). 3479–3479. 3 indexed citations
10.
Lee, Jae‐Hak, Jin‐Ki Kim, Jin‐Ki Kim, et al.. (2018). Impact of Genetic Variants on the Individual Potential for Body Fat Loss. Nutrients. 10(3). 266–266. 7 indexed citations
12.
Choi, Joon‐Seok, Joon‐Seok Choi, Jun Ki Kim, et al.. (2015). Identification of cromolyn sodium as an anti-fibrotic agent targeting both hepatocytes and hepatic stellate cells. Pharmacological Research. 102. 176–183. 15 indexed citations
13.
Choi, Bo Youl, Jung Hyun Nam, Mi Kyung Kim, et al.. (2014). Dietary patterns and cognitive function in Korean older adults. European Journal of Nutrition. 54(2). 309–318. 18 indexed citations
14.
Kwak, Jung Hyun, Min Sun Kim, Jin Hee Lee, et al.. (2013). Beneficial effect of tagatose consumption on postprandial hyperglycemia in Koreans: a double-blind crossover designed study. Food & Function. 4(8). 1223–1223. 17 indexed citations
15.
Vajpayee, Vaishali, Yoon Jung Yang, Se Chan Kang, et al.. (2011). Hexanuclear self-assembled arene-ruthenium nano-prismatic cages: potential anticancer agents. Chemical Communications. 47(18). 5184–5184. 129 indexed citations
16.
Kim, Kirang, Yoon Jung Yang, Kyunga Kim, & Mi Kyung Kim. (2011). Interactions of single nucleotide polymorphisms with dietary calcium intake on the risk of metabolic syndrome. American Journal of Clinical Nutrition. 95(1). 231–240. 13 indexed citations
17.
Yang, Yoon Jung, et al.. (2010). Relative validities of 3-day food records and the food frequency questionnaire. Nutrition Research and Practice. 4(2). 142–142. 172 indexed citations
18.
Yang, Yoon Jung, Seon Hwa Lee, Hyun Joo Kim, & Bong Chul Chung. (1998). Simultaneous Determination of Cholesterol, Bile Acids and Sterols in Human Bile Juices and Gallstones Using GC/MS. Journal of the Korean Chemical Society. 42(3). 266–276. 3 indexed citations
19.
Yang, Yoon Jung, Seon Hwa Lee, & Bong Chul Chung. (1998). Simultaneous Determination of Urinary Phytoestrogens and Estrogens by Gas Chromatography/Mass spectrometry. Analytical Science and Technology. 11(5). 374–385. 1 indexed citations
20.
Lee, Seon Hwa, Yoon Jung Yang, Tae Wook Kim, Ki Jung Paeng, & Bong Chul Chung. (1997). Urinary Profiling of Endogeneous Estrogens Using GC/MS. Journal of the Korean Chemical Society. 41(4). 186–197. 5 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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