San-Hua Leng
- Pharmacology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Pharmacology top 10%
- Surgery
- Co-authors
- Fuer LuLijun XuYanbin ZhengWenshuo ZhangXiao‐Jian SunRidong ChenJiong WuChristopher J. Rhodes
- Topics
- Pancreatic function and diabetes (8 papers)Berberine and alkaloids research (5 papers)Cannabis and Cannabinoid Research (3 papers)
- Journals
- World Journal of GastroenterologyJournal of EndocrinologyJournal of Huazhong University of Science and Technology [Medical Sciences]
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
San-Hua Leng
10 papers receiving 410 citations
Peers
Comparison fields: 5 of 65
- Pharmacology 220
- Molecular Biology 205
- Endocrinology, Diabetes and Metabolism 133
- Pharmacology 66
- Surgery 58
Countries citing papers authored by San-Hua Leng
This map shows the geographic impact of San-Hua Leng'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 San-Hua Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites San-Hua Leng more than expected).
Fields of papers citing papers by San-Hua Leng
This network shows the impact of papers produced by San-Hua Leng. 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 San-Hua Leng. The network helps show where San-Hua Leng may publish in the future.
Co-authorship network of co-authors of San-Hua Leng
This figure shows the co-authorship network connecting the top 25 collaborators of San-Hua Leng. A scholar is included among the top collaborators of San-Hua Leng 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 San-Hua Leng. San-Hua Leng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 70 | |
| 2 | 68 | |
| 3 | 45 | |
| 4 | 10 | |
| 5 | [Effects of berberine on expression of hepatocyte nuclear factor 4alpha and glucokinase activity in mouse primary hepatocytes]. | 11 |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | [Protective effects of Huanglian Jiedu decoction on vascular endothelial function in type 2 diabetic rats]. | 9 |
| 10 | Therapeutic effects of berberine in impaired glucose tolerance rats and its influence on insulin secretion. | 211 |
About San-Hua Leng
San-Hua Leng is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 10 papers that have together received 430 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Berberine and alkaloids research (5 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Pharmacology (220 citations), Endocrinology, Diabetes and Metabolism (133 citations) and Pharmacology (66 citations). San-Hua Leng has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Fuer Lu, Lijun Xu, Yanbin Zheng, Wenshuo Zhang, Xiao‐Jian Sun, Ridong Chen, Jiong Wu, Christopher J. Rhodes, Hagit Eldar-Finkelman and Zhiquan Wang. Their work appears in journals such as World Journal of Gastroenterology, Journal of Endocrinology and Journal of Huazhong University of Science and Technology [Medical Sciences].
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.