Gwang‐woong Go

2.1k total citations
74 papers, 1.6k citations indexed

About

Gwang‐woong Go is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Gwang‐woong Go has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 20 papers in Physiology and 17 papers in Nutrition and Dietetics. Recurrent topics in Gwang‐woong Go's work include Meat and Animal Product Quality (12 papers), Fatty Acid Research and Health (11 papers) and Adipose Tissue and Metabolism (11 papers). Gwang‐woong Go is often cited by papers focused on Meat and Animal Product Quality (12 papers), Fatty Acid Research and Health (11 papers) and Adipose Tissue and Metabolism (11 papers). Gwang‐woong Go collaborates with scholars based in South Korea, United States and United Kingdom. Gwang‐woong Go's co-authors include Arya Mani, Stephen B. Smith, Roshni Srivastava, Han‐Sul Yang, Seong Ho Choi, Sangnam Oh, Ali R. Keramati, Wooki Kim, Eleftherios Mylonakis and Jee‐Young Imm and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Gwang‐woong Go

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gwang‐woong Go South Korea 24 733 266 218 216 192 74 1.6k
Min Tian China 25 886 1.2× 297 1.1× 123 0.6× 260 1.2× 152 0.8× 83 1.8k
Demin Cai China 26 898 1.2× 386 1.5× 90 0.4× 199 0.9× 238 1.2× 90 1.7k
Bao Yi China 25 1.1k 1.5× 258 1.0× 87 0.4× 204 0.9× 342 1.8× 55 2.0k
Liuqin He China 29 916 1.2× 380 1.4× 123 0.6× 412 1.9× 225 1.2× 80 2.1k
Yuanfei Zhou China 24 742 1.0× 320 1.2× 98 0.4× 265 1.2× 202 1.1× 50 1.5k
Ping Hu China 22 746 1.0× 325 1.2× 168 0.8× 149 0.7× 66 0.3× 74 1.7k
Xiangzhen Shen China 27 705 1.0× 132 0.5× 88 0.4× 298 1.4× 179 0.9× 104 2.1k
Yuebo Zhang China 22 770 1.1× 207 0.8× 285 1.3× 92 0.4× 216 1.1× 66 1.9k
Jong‐Soo Chang South Korea 26 1.3k 1.7× 218 0.8× 82 0.4× 125 0.6× 204 1.1× 80 2.5k
Weiqi Xu China 30 1.4k 1.9× 277 1.0× 253 1.2× 108 0.5× 502 2.6× 84 2.9k

Countries citing papers authored by Gwang‐woong Go

Since Specialization
Citations

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

Fields of papers citing papers by Gwang‐woong Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gwang‐woong Go. 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 Gwang‐woong Go. The network helps show where Gwang‐woong Go may publish in the future.

Co-authorship network of co-authors of Gwang‐woong Go

This figure shows the co-authorship network connecting the top 25 collaborators of Gwang‐woong Go. A scholar is included among the top collaborators of Gwang‐woong Go 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 Gwang‐woong Go. Gwang‐woong Go 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.
2.
Go, Gwang‐woong, et al.. (2024). Exploring the multifaceted role of ginkgolides and bilobalide from Ginkgo biloba in mitigating metabolic disorders. Food Science and Biotechnology. 33(13). 2903–2917. 2 indexed citations
3.
Kim, Hyun Kyung, et al.. (2023). Effect of MIND diet on cognitive function in elderly: a narrative review with emphasis on bioactive food ingredients. Food Science and Biotechnology. 33(2). 297–306. 8 indexed citations
4.
Kang, Eun Young, Do‐Young Kim, Weon‐Sun Shin, et al.. (2023). Modified Korean MIND Diet: A Nutritional Intervention for Improved Cognitive Function in Elderly Women through Mitochondrial Respiration, Inflammation Suppression, and Amino Acid Metabolism Regulation. Molecular Nutrition & Food Research. 67(20). e2300329–e2300329. 4 indexed citations
5.
Choi, Jieun, et al.. (2022). 12-OAHSA is a component of olive oil and mitigates obesity-induced inflammation. The Journal of Nutritional Biochemistry. 110. 109127–109127. 5 indexed citations
6.
Kang, Eun Young, et al.. (2021). Bioactive compounds in food for age-associated cognitive decline: A systematic review. Korean Journal of Food Science and Technology. 53(3). 278–289. 1 indexed citations
7.
Kumar, Himansu, Krishnamoorthy Srikanth, Seung-Hoon Lee, et al.. (2019). Transcriptome analysis to identify long non coding RNA (lncRNA) and characterize their functional role in back fat tissue of pig. Gene. 703. 71–82. 29 indexed citations
8.
Rahman, M. Shafiur, et al.. (2019). Thiol concentration, structural characteristics and gelling properties of bovine heart protein concentrates. LWT. 111. 175–181. 13 indexed citations
9.
10.
Kim, Haeun, et al.. (2018). Red Pepper ( Capsicum annuum L.) Seed Extract Decreased Hepatic Gluconeogenesis and Increased Muscle Glucose Uptake In Vitro. Journal of Medicinal Food. 21(7). 665–671. 8 indexed citations
11.
Imm, Jee‐Young, et al.. (2018). Hovenia dulcis Extract Attenuates High-Fat Diet-Induced Hepatic Lipid Accumulation and Hypertriglyceridemia in C57BL/6 Mice. Journal of Medicinal Food. 22(1). 74–80. 4 indexed citations
12.
Park, Soo Hyun, et al.. (2017). In Vitro Evidence of Anti-Inflammatory and Anti-Obesity Effects of Medium-Chain Fatty Acid-Diacylglycerols. Journal of Microbiology and Biotechnology. 27(9). 1617–1627. 15 indexed citations
13.
Park, Ki Bum, Jeongho Jeong, Haeun Kim, et al.. (2017). Meat Quality Traits of Pigs Finished on Food Waste. Korean Journal for Food Science of Animal Resources. 37(5). 690–697. 15 indexed citations
14.
Hwangbo, Cheol, Jingxia Wu, Irinna Papangeli, et al.. (2017). Endothelial APLNR regulates tissue fatty acid uptake and is essential for apelin’s glucose-lowering effects. Science Translational Medicine. 9(407). 66 indexed citations
15.
Go, Gwang‐woong, et al.. (2017). Pinus Densiflora Bark Extract (PineXol) Decreases Adiposity in Mice by Down-Regulation of Hepatic De Novo Lipogenesis and Adipogenesis in White Adipose Tissue. Journal of Microbiology and Biotechnology. 27(4). 660–667. 16 indexed citations
16.
Kim, Sohyun, Gwang‐woong Go, & Jee‐Young Imm. (2017). Promotion of Glucose Uptake in C2C12 Myotubes by Cereal Flavone Tricin and Its Underlying Molecular Mechanism. Journal of Agricultural and Food Chemistry. 65(19). 3819–3826. 31 indexed citations
17.
Kim, Gap‐Don, Gwang‐woong Go, Hyunjung Lim, et al.. (2014). Physicochemical Characteristics of Beef Jerky Cured with Salted-fermented Anchovy and Shrimp. Korean Journal for Food Science of Animal Resources. 34(1). 99–105. 5 indexed citations
18.
Yun, Hyun Sun, Miri Park, Sangnam Oh, et al.. (2014). Bacillus licheniformis Isolated from Korean Traditional Food Sources Enhances the Resistance of Caenorhabditis elegans to Infection by Staphylococcus aureus. Journal of Microbiology and Biotechnology. 24(8). 1105–1108. 12 indexed citations
19.
Shin, Dong-Eun, Seong Ho Choi, Gwang‐woong Go, et al.. (2012). Effects of dietary combination of n-3 and n-9 fatty acids on the deposition of linoleic and arachidonic acid in broiler chicken meats. Poultry Science. 91(4). 1009–1017. 17 indexed citations
20.
Go, Gwang‐woong, Guoyao Wu, & Stephen B. Smith. (2009). The growth performance, carcass traits, meat pH and color, and CO2 production in pigs supplementated arginine with conjugated linoleic acid. The FASEB Journal. 23(S1). 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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