Mee Young Hong

2.6k total citations
100 papers, 2.0k citations indexed

About

Mee Young Hong is a scholar working on Nutrition and Dietetics, Public Health, Environmental and Occupational Health and Biochemistry. According to data from OpenAlex, Mee Young Hong has authored 100 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Nutrition and Dietetics, 22 papers in Public Health, Environmental and Occupational Health and 22 papers in Biochemistry. Recurrent topics in Mee Young Hong's work include Antioxidant Activity and Oxidative Stress (17 papers), Nutritional Studies and Diet (14 papers) and Nuts composition and effects (14 papers). Mee Young Hong is often cited by papers focused on Antioxidant Activity and Oxidative Stress (17 papers), Nutritional Studies and Diet (14 papers) and Nuts composition and effects (14 papers). Mee Young Hong collaborates with scholars based in United States, United Kingdom and Belgium. Mee Young Hong's co-authors include Robert S. Chapkin, Joanne R. Lupton, Nancy D. Turner, Raymond J. Carroll, Navindra P. Seeram, David Heber, Mark Kern, Laurie A. Davidson, Shirin Hooshmand and Yanjun Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Mee Young Hong

92 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mee Young Hong United States 26 517 471 256 246 243 100 2.0k
Yimin Zhao China 25 390 0.8× 711 1.5× 210 0.8× 125 0.5× 142 0.6× 100 2.1k
Denisa Margină Romania 30 371 0.7× 1.0k 2.2× 306 1.2× 179 0.7× 251 1.0× 78 2.8k
Ju‐Chi Liu Taiwan 31 623 1.2× 753 1.6× 246 1.0× 137 0.6× 231 1.0× 131 3.1k
Marina Sánchéz‐Hidalgo Spain 36 450 0.9× 1.1k 2.4× 434 1.7× 158 0.6× 193 0.8× 84 3.5k
Baukje de Roos United Kingdom 30 505 1.0× 630 1.3× 401 1.6× 77 0.3× 231 1.0× 92 2.2k
María P. Portillo Spain 31 363 0.7× 828 1.8× 401 1.6× 217 0.9× 245 1.0× 97 2.8k
Tsuyoshi Chiba Japan 27 181 0.4× 565 1.2× 285 1.1× 152 0.6× 306 1.3× 121 2.5k
A. Gaddi Italy 35 790 1.5× 775 1.6× 571 2.2× 172 0.7× 291 1.2× 119 3.7k
Yingdong Zhu United States 26 225 0.4× 675 1.4× 276 1.1× 163 0.7× 155 0.6× 54 1.9k
Siti Balkis Budin Malaysia 26 436 0.8× 631 1.3× 398 1.6× 80 0.3× 234 1.0× 117 2.9k

Countries citing papers authored by Mee Young Hong

Since Specialization
Citations

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

Fields of papers citing papers by Mee Young Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mee Young Hong. 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 Mee Young Hong. The network helps show where Mee Young Hong may publish in the future.

Co-authorship network of co-authors of Mee Young Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Mee Young Hong. A scholar is included among the top collaborators of Mee Young Hong 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 Mee Young Hong. Mee Young Hong 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.
Ellis, Terry D., et al.. (2024). The Effectiveness of Telehealth Intervention on Chronic Kidney Disease Management in Adults: A Systematic Review. SHILAP Revista de lepidopterología. 3(1). 100181–100181. 2 indexed citations
3.
Zhang, Liyue, et al.. (2023). Effects of mixed nut consumption on LDL cholesterol, lipoprotein(a), and other cardiometabolic risk factors in overweight and obese adults. Nutrition Metabolism and Cardiovascular Diseases. 33(8). 1529–1538. 9 indexed citations
4.
Liu, Changqi, et al.. (2023). Effects of Mixed Nut Consumption on Blood Glucose, Insulin, Satiety, and the Microbiome in a Healthy Population: A Pilot Study. Journal of Medicinal Food. 26(5). 342–351. 3 indexed citations
5.
Galloway, Stuart D. R., Mee Young Hong, Shirin Hooshmand, et al.. (2022). Influence of pistachios on force production, subjective ratings of pain, and oxidative stress following exercise-induced muscle damage in moderately trained athletes: A randomized, crossover trial. SHILAP Revista de lepidopterología. 16. 100215–100215. 2 indexed citations
6.
Brasser, Susan M., et al.. (2022). Effects of moderate ethanol consumption as a function of n-6:n-3 dietary ratio on lipid profile, inflammation, and liver function in mice. International Journal of Cardiology Cardiovascular Risk and Prevention. 14. 200132–200132. 2 indexed citations
7.
Hong, Mee Young, et al.. (2021). Dried Plum Consumption Improves Total Cholesterol and Antioxidant Capacity and Reduces Inflammation in Healthy Postmenopausal Women. Journal of Medicinal Food. 24(11). 1161–1168. 13 indexed citations
8.
Liu, Changqi, et al.. (2021). Fresh Mango Consumption Promotes Greater Satiety and Improves Postprandial Glucose and Insulin Responses in Healthy Overweight and Obese Adults. Journal of Medicinal Food. 25(4). 381–388. 15 indexed citations
12.
Kern, Mark, et al.. (2018). Acute Effects of Dried Apple Consumption on Metabolic and Cognitive Responses in Healthy Individuals. Journal of Medicinal Food. 21(11). 1158–1164. 11 indexed citations
13.
Levy, Susan S., et al.. (2017). Relationships between physical activity, food choices, gender and BMI in Southern Californian teenagers. International Journal of Adolescent Medicine and Health. 31(5). 17 indexed citations
14.
Hooshmand, Shirin, et al.. (2014). Effects of Agave Nectar Versus Sucrose on Weight Gain, Adiposity, Blood Glucose, Insulin, and Lipid Responses in Mice. Journal of Medicinal Food. 17(9). 1017–1021. 17 indexed citations
15.
Hong, Mee Young, et al.. (2013). Effects of Dark Chocolate on Azoxymethane-Induced Colonic Aberrant Crypt Foci. Nutrition and Cancer. 65(5). 677–685. 20 indexed citations
17.
Hong, Mee Young, Navindra P. Seeram, Yanjun Zhang, & David Heber. (2008). Chinese Red Yeast Rice Versus Lovastatin Effects on Prostate Cancer Cells With and Without Androgen Receptor Overexpression. Journal of Medicinal Food. 11(4). 657–666. 28 indexed citations
18.
Warren, Cynthia, Laurie A. Davidson, Joanne R. Lupton, et al.. (2008). Quercetin May Suppress Rat Aberrant Crypt Foci Formation by Suppressing Inflammatory Mediators That Influence Proliferation and Apoptosis. Journal of Nutrition. 139(1). 101–105. 98 indexed citations
19.
Sanders, Lisa, Mee Young Hong, Rola Barhoumi, et al.. (2004). An Increase in Reactive Oxygen Species by Dietary Fish Oil Coupled with the Attenuation of Antioxidant Defenses by Dietary Pectin Enhances Rat Colonocyte Apoptosis. Journal of Nutrition. 134(12). 3233–3238. 75 indexed citations
20.
Morris, Jeffrey S., Naisyin Wang, Raymond J. Carroll, et al.. (2003). Understanding the Relationship between Carcinogen-Induced DNA Adduct Levels in Distal and Proximal Regions of the Colon. Advances in experimental medicine and biology. 537. 105–116. 1 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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