Shanggong Yu
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities 4
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- Traditional Chinese Medicine Analysis 5
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds 5
- Fungal Biology and Applications 3
- Food Science top 5%
- Analytical Chemistry top 5%
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- Metabolomics and Mass Spectrometry Studies 4
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- Phytoestrogen effects and research 4
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- Analytical Chemistry and Chromatography 3
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- Cholesterol and Lipid Metabolism 3
Shanggong Yu
22 papers receiving 901 citations
Peers
Comparison fields: 5 of 85
- Biochemistry 265
- Complementary and alternative medicine 89
- Pharmacology 93
- Food Science 182
- Analytical Chemistry 78
Countries citing papers authored by Shanggong Yu
This map shows the geographic impact of Shanggong Yu'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 Shanggong Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanggong Yu more than expected).
Fields of papers citing papers by Shanggong Yu
This network shows the impact of papers produced by Shanggong Yu. 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 Shanggong Yu. The network helps show where Shanggong Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shanggong Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 12 | |
| 2 | 2016 | 8 | |
| 3 | 2015 | 15 | |
| 4 | 2014 | 45 | |
| 5 | The rationality of the hypolipidemic effect of alismatis rhizoma decoction, a classical chinese medicine formula in high-fat diet-induced hyperlipidemic mice. | 2014 | 10 |
| 6 | 2013 | 5 | |
| 7 | The Hypolipidemic Effect of Different Component Combination of Catsia tora, Salvia miltiorrhiza,Ilex kudingcha and Gynostemma pentaphyllum | 2012 | 3 |
| 8 | 2012 | 24 | |
| 9 | 2012 | 30 | |
| 10 | Hypolipidemic effects of Alismatis rhizome on lipid profile in mice fed high-fat diet. | 2011 | 38 |
| 11 | 2010 | 8 | |
| 12 | 2007 | 74 | |
| 13 | 2006 | 46 | |
| 14 | 2006 | 8 | |
| 15 | 2006 | 14 | |
| 16 | 2004 | 76 | |
| 17 | 2004 | 34 | |
| 18 | 2003 | 47 | |
| 19 | 2002 | 35 | |
| 20 | 2002 | 308 |
About Shanggong Yu
Shanggong Yu is a scholar working on Complementary and alternative medicine, Pharmacology and Biochemistry, having authored 22 papers that have together received 933 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Phytoestrogen effects and research (4 papers), Phytochemicals and Antioxidant Activities (4 papers), Analytical Chemistry and Chromatography (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Fungal Biology and Applications (3 papers). The work is most often cited by research in Biochemistry (265 citations), Complementary and alternative medicine (89 citations) and Pharmacology (93 citations). Shanggong Yu has collaborated with scholars based in United States and China. Frequent co-authors include Nianbai Fang, Thomas M. Badger, Ronald L. Prior, Martin J. J. Ronis, Chengwu Song, Jianxiang Zhang, Min Peng, Zhiwen Zhou, Qinglin Li and Qinglin Li. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Nutrition and Journal of Lipid Research.
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.