Yeyi Gu

876 total citations
13 papers, 743 citations indexed

About

Yeyi Gu is a scholar working on Epidemiology, Biochemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yeyi Gu has authored 13 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Biochemistry and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yeyi Gu's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (4 papers) and Antioxidant Activity and Oxidative Stress (4 papers). Yeyi Gu is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (4 papers) and Antioxidant Activity and Oxidative Stress (4 papers). Yeyi Gu collaborates with scholars based in United States and Malaysia. Yeyi Gu's co-authors include Joshua D. Lambert, Shan Yu, Sarah C. Forester, David A. Stuart, W. Jeffrey Hurst, Xiaoyun Ding, Tony Jun Huang, K.J. Harvatine, Shikuan Yang and Po‐Hsun Huang and has published in prestigious journals such as ACS Nano, Journal of Agricultural and Food Chemistry and The FASEB Journal.

In The Last Decade

Yeyi Gu

13 papers receiving 730 citations

Peers

Yeyi Gu
Yeyi Gu
Citations per year, relative to Yeyi Gu Yeyi Gu (= 1×) peers Yuji Matsui

Countries citing papers authored by Yeyi Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yeyi Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeyi Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yeyi Gu. A scholar is included among the top collaborators of Yeyi Gu 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 Yeyi Gu. Yeyi Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Gu, Yeyi, et al.. (2021). Dietary cocoa ameliorates non-alcoholic fatty liver disease and increases markers of antioxidant response and mitochondrial biogenesis in high fat-fed mice. The Journal of Nutritional Biochemistry. 92. 108618–108618. 21 indexed citations
2.
McCrea, Cindy E, Sheila G. West, Penny M. Kris‐Etherton, et al.. (2015). Effects of culinary spices and psychological stress on postprandial lipemia and lipase activity: results of a randomized crossover study and in vitro experiments. Journal of Translational Medicine. 13(1). 7–7. 28 indexed citations
3.
Gu, Yeyi, et al.. (2014). Dietary cocoa reduces metabolic endotoxemia and adipose tissue inflammation in high-fat fed mice. The Journal of Nutritional Biochemistry. 25(4). 439–445. 64 indexed citations
4.
Chen, Yuchao, Sixing Li, Yeyi Gu, et al.. (2014). Continuous enrichment of low-abundance cell samples using standing surface acoustic waves (SSAW). Lab on a Chip. 14(5). 924–930. 81 indexed citations
5.
Gu, Yeyi, K.J. Harvatine, & Joshua D. Lambert. (2013). Dietary Cocoa Reduces Adipose Tissue Inflammation in High‐ Fat Fed Obese Mice. The FASEB Journal. 27(S1). 2 indexed citations
6.
Gu, Yeyi, Shan Yu, & Joshua D. Lambert. (2013). Dietary cocoa ameliorates obesity-related inflammation in high fat-fed mice. European Journal of Nutrition. 53(1). 149–158. 88 indexed citations
7.
Chen, Yuchao, Xiaoyun Ding, Shikuan Yang, et al.. (2013). Tunable Nanowire Patterning Using Standing Surface Acoustic Waves. ACS Nano. 7(4). 3306–3314. 144 indexed citations
8.
Gu, Yeyi. (2013). Modulation of Obesity-Related Inflammation by Cocoa (Theobroma Cacao L. Sterculiaceae). 1 indexed citations
9.
Gu, Yeyi & Joshua D. Lambert. (2013). Modulation of metabolic syndrome‐related inflammation by cocoa. Molecular Nutrition & Food Research. 57(6). 948–961. 39 indexed citations
10.
Lambert, Joshua D., Neela H. Yennawar, Yeyi Gu, & Ryan J. Elias. (2012). Inhibition of Secreted Phospholipase A2 by Proanthocyanidins: A Comparative Enzymological and in Silico Modeling Study. Journal of Agricultural and Food Chemistry. 60(30). 7417–7420. 7 indexed citations
11.
Forester, Sarah C., Yeyi Gu, & Joshua D. Lambert. (2012). Inhibition of starch digestion by the green tea polyphenol, (−)‐epigallocatechin‐3‐gallate. Molecular Nutrition & Food Research. 56(11). 1647–1654. 117 indexed citations
12.
Gu, Yeyi, Shan Yu, & Joshua D. Lambert. (2012). Anti‐inflammatory Effects of Cocoa Procyanidins. The FASEB Journal. 26(S1). 1 indexed citations
13.
Gu, Yeyi, W. Jeffrey Hurst, David A. Stuart, & Joshua D. Lambert. (2011). Inhibition of Key Digestive Enzymes by Cocoa Extracts and Procyanidins. Journal of Agricultural and Food Chemistry. 59(10). 5305–5311. 150 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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