Ling Ye
Impact in
- Pharmacology top 1%
- Plant-based Medicinal Research
- Pharmacological Effects of Natural Compounds
- Berberine and alkaloids research
- Pharmacogenetics and Drug Metabolism
-
- Andrographolide Research and Applications
Papers in
-
- Bioactive Natural Diterpenoids Research 1
-
- Pharmacological Effects of Natural Compounds 4
- Berberine and alkaloids research 3
- Plant-based Medicinal Research 3
- Co-authors
- Zhongqiu Liu (10 shared papers)Ming Hu (9 shared papers)Lan Tang (5 shared papers)Zhen Yang (4 shared papers)Zhijie Zheng (3 shared papers)Zheng Cai (2 shared papers)Song Gao (3 shared papers)Yuting Bai (1 shared paper)
- Journals
- Molecular Pharmaceutics (2 papers)Biomedical Chromatography (2 papers)Inorganica Chimica Acta (1 paper)Drug Delivery (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ling Ye
21 papers receiving 835 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 256
- Complementary and alternative medicine 168
- Toxicology 28
- Pharmacology 106
- Pharmaceutical Science 41
Countries citing papers authored by Ling Ye
This map shows the geographic impact of Ling Ye'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 Ling Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ye more than expected).
Fields of papers citing papers by Ling Ye
This network shows the impact of papers produced by Ling Ye. 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 Ling Ye. The network helps show where Ling Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Ye, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 129 | |
| 2 | 2017 | 115 | |
| 3 | 2012 | 75 | |
| 4 | 2012 | 70 | |
| 5 | 2011 | 69 | |
| 6 | 2010 | 57 | |
| 7 | 2010 | 48 | |
| 8 | 2007 | 46 | |
| 9 | 2010 | 46 | |
| 10 | 2009 | 43 | |
| 11 | 2012 | 35 | |
| 12 | 2011 | 24 | |
| 13 | 2008 | 21 | |
| 14 | 2010 | 19 | |
| 15 | 2013 | 15 | |
| 16 | 2017 | 13 | |
| 17 | 2012 | 7 | |
| 18 | 2017 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2025 | 2 |
About Ling Ye
Ling Ye is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Plant Science and Analytical Chemistry, having authored 22 papers that have together received 844 indexed citations. Recurring topics across this work include Chromatography in Natural Products (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Phytochemistry and biological activity of medicinal plants (3 papers), Berberine and alkaloids research (3 papers), Plant-based Medicinal Research (3 papers), Organometallic Complex Synthesis and Catalysis (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Bioactive Natural Diterpenoids Research (1 paper). The work is most often cited by research in Pharmacology (256 citations), Complementary and alternative medicine (168 citations), Toxicology (28 citations), Pharmacology (106 citations) and Pharmaceutical Science (41 citations). Ling Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhongqiu Liu, Ming Hu, Lan Tang, Zhen Yang, Zhijie Zheng, Zheng Cai, Song Gao, Yuting Bai, Xingjian Yu and Lingfan Zhang. Their work appears in journals such as Molecular Pharmaceutics, Biomedical Chromatography, Inorganica Chimica Acta, Drug Delivery and PLoS ONE.
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.