Guangli Yan
Impact in
-
- Traditional Chinese Medicine Analysis
- Traditional Chinese Medicine Studies
- Pharmacology top 0.2%
- Pharmacological Effects of Natural Compounds
- Plant-based Medicinal Research
Papers in
-
- Traditional Chinese Medicine Analysis 46
- Traditional Chinese Medicine Studies 19
- Pharmacology 32
- Pharmacological Effects of Natural Compounds 16
- Plant-based Medicinal Research 15
- Co-authors
- Xijun WangHui SunAihua ZhangYing HanLiang LiuFangfang WuLing KongPing Wang
- Journals
- RSC Advances (13 papers)Journal of Separation Science (10 papers)Biomedical Chromatography (7 papers)Phytomedicine (6 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Guangli Yan
126 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 131
- Complementary and alternative medicine 1.4k
- Pharmacology 868
- Molecular Biology 3.2k
- Biological Psychiatry 102
- Analytical Chemistry 335
Countries citing papers authored by Guangli Yan
This map shows the geographic impact of Guangli Yan'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 Guangli Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangli Yan more than expected).
Fields of papers citing papers by Guangli Yan
This network shows the impact of papers produced by Guangli Yan. 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 Guangli Yan. The network helps show where Guangli Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangli Yan, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 13 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 32 | |
| 9 | 2022 | 10 | |
| 10 | 2019 | 39 | |
| 11 | 2018 | 42 | |
| 12 | 2017 | 19 | |
| 13 | 2016 | 29 | |
| 14 | 2015 | 25 | |
| 15 | 2015 | 32 | |
| 16 | 2014 | 30 | |
| 17 | 2014 | 11 | |
| 18 | 2013 | 14 | |
| 19 | 2013 | 26 | |
| 20 | 2011 | 47 |
About Guangli Yan
Guangli Yan is a scholar working on Complementary and alternative medicine, Pharmacology, Biological Psychiatry, Molecular Biology and Analytical Chemistry, having authored 133 papers that have together received 4.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (66 papers), Traditional Chinese Medicine Analysis (46 papers), Ginseng Biological Effects and Applications (29 papers), Traditional Chinese Medicine Studies (19 papers), Pharmacological Effects of Natural Compounds (16 papers), Plant-based Medicinal Research (15 papers), Chromatography in Natural Products (13 papers) and Natural product bioactivities and synthesis (10 papers). The work is most often cited by research in Complementary and alternative medicine (1.4k citations), Pharmacology (868 citations), Molecular Biology (3.2k citations), Biological Psychiatry (102 citations) and Analytical Chemistry (335 citations). Guangli Yan has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Xijun Wang, Hui Sun, Aihua Zhang, Ying Han, Liang Liu, Fangfang Wu, Ling Kong, Ping Wang, Shi Qiu and Ye Yuan. Their work appears in journals such as RSC Advances, Journal of Separation Science, Biomedical Chromatography, Phytomedicine and Scientific Reports.
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.