Hua Cheng
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies
- Mitochondrial Function and Pathology
- Plant Gene Expression Analysis
- Sphingolipid Metabolism and Signaling
Papers in
-
- Ginkgo biloba and Cashew Applications 23
-
- Selenium in Biological Systems 19
- Co-authors
- Xianlin Han (26 shared papers)Richard W. Gross (8 shared papers)Kui Yang (6 shared papers)Linling Li (39 shared papers)Shuiyuan Cheng (40 shared papers)Jingyue Yang (4 shared papers)Feng Xu (19 shared papers)Michael A. Kiebish (5 shared papers)
- Journals
- Agronomy (5 papers)PLoS ONE (5 papers)Journal of Neurochemistry (4 papers)Journal of Lipid Research (4 papers)Molecules (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hua Cheng
163 papers receiving 6.6k citations
Hua Cheng's Hit Papers
Peers
Comparison fields: 5 of 148
- Biochemistry 443
- Molecular Biology 3.6k
- Endocrinology, Diabetes and Metabolism 825
- Virology 241
- Physiology 1.0k
Countries citing papers authored by Hua Cheng
This map shows the geographic impact of Hua Cheng'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 Hua Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Cheng more than expected).
Fields of papers citing papers by Hua Cheng
This network shows the impact of papers produced by Hua Cheng. 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 Hua Cheng. The network helps show where Hua Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effect of intensive insulin therapy on β-cell function and glycaemic control in patients with newly diagnosed type 2 diabetes: a multicentre randomised parallel-group trial Hit paper breakdown → | 2008 | 627 |
| 2 | 2011 | 356 | |
| 3 | 2009 | 343 | |
| 4 | 2008 | 233 | |
| 5 | 2010 | 221 | |
| 6 | 2004 | 187 | |
| 7 | 2013 | 174 | |
| 8 | 2006 | 165 | |
| 9 | 2005 | 162 | |
| 10 | 2005 | 148 | |
| 11 | 2005 | 137 | |
| 12 | 2007 | 126 | |
| 13 | 2008 | 120 | |
| 14 | 2011 | 117 | |
| 15 | 2011 | 116 | |
| 16 | 2022 | 115 | |
| 17 | 2003 | 112 | |
| 18 | 2004 | 102 | |
| 19 | 2013 | 102 | |
| 20 | 2003 | 96 |
About Hua Cheng
Hua Cheng is a scholar working on Complementary and alternative medicine, Nutrition and Dietetics, Molecular Biology, Biochemistry and Physiology, having authored 172 papers that have together received 6.8k indexed citations. Recurring topics across this work include Ginkgo biloba and Cashew Applications (23 papers), Selenium in Biological Systems (19 papers), Plant Gene Expression Analysis (15 papers), Plant biochemistry and biosynthesis (14 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Mitochondrial Function and Pathology (11 papers), HIV/AIDS drug development and treatment (8 papers) and Photosynthetic Processes and Mechanisms (8 papers). The work is most often cited by research in Biochemistry (443 citations), Molecular Biology (3.6k citations), Endocrinology, Diabetes and Metabolism (825 citations), Virology (241 citations) and Physiology (1.0k citations). Hua Cheng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xianlin Han, Richard W. Gross, Kui Yang, Linling Li, Shuiyuan Cheng, Jingyue Yang, Feng Xu, Michael A. Kiebish, Thomas N. Seyfried and Jeffrey Chuang. Their work appears in journals such as Agronomy, PLoS ONE, Journal of Neurochemistry, Journal of Lipid Research and Molecules.
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.