Yan Qi
Impact in
- Pharmacology top 0.5%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- MicroRNA in disease regulation 14
- Pharmacology 17
- Drug-Induced Hepatotoxicity and Protection 12
- Co-authors
- Lianhong Yin (80 shared papers)Lina Xu (82 shared papers)Jinyong Peng (77 shared papers)Youwei Xu (70 shared papers)Xu Han (52 shared papers)Xufeng Tao (26 shared papers)Xu Han (18 shared papers)Kexin Liu (25 shared papers)
- Journals
- Pharmacological Research (9 papers)Molecules (6 papers)Phytomedicine (5 papers)Food and Chemical Toxicology (5 papers)British Journal of Pharmacology (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Qi
194 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 134
- Pharmacology 518
- Complementary and alternative medicine 468
- Cancer Research 594
- Hepatology 277
- Pathology and Forensic Medicine 470
Countries citing papers authored by Yan Qi
This map shows the geographic impact of Yan Qi'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 Yan Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Qi more than expected).
Fields of papers citing papers by Yan Qi
This network shows the impact of papers produced by Yan Qi. 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 Yan Qi. The network helps show where Yan Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Qi, 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 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 290 | |
| 2 | 2018 | 190 | |
| 3 | 2017 | 130 | |
| 4 | 2018 | 128 | |
| 5 | 2015 | 125 | |
| 6 | 2009 | 122 | |
| 7 | 2016 | 120 | |
| 8 | 2013 | 117 | |
| 9 | 2015 | 107 | |
| 10 | 2013 | 106 | |
| 11 | 2017 | 105 | |
| 12 | 2015 | 99 | |
| 13 | 2012 | 97 | |
| 14 | 2018 | 96 | |
| 15 | 2017 | 93 | |
| 16 | 2013 | 92 | |
| 17 | 2015 | 92 | |
| 18 | 1992 | 90 | |
| 19 | 2017 | 90 | |
| 20 | 2016 | 85 |
About Yan Qi
Yan Qi is a scholar working on Cancer Research, Pharmacology, Analytical Chemistry, Complementary and alternative medicine and Molecular Biology, having authored 199 papers that have together received 6.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Chromatography in Natural Products (13 papers), Drug-Induced Hepatotoxicity and Protection (12 papers), Phytochemical Studies and Bioactivities (9 papers), Natural product bioactivities and synthesis (9 papers), Liver physiology and pathology (9 papers), Nanoparticle-Based Drug Delivery (7 papers) and Immune cells in cancer (7 papers). The work is most often cited by research in Pharmacology (518 citations), Complementary and alternative medicine (468 citations), Cancer Research (594 citations), Hepatology (277 citations) and Pathology and Forensic Medicine (470 citations). Yan Qi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lianhong Yin, Lina Xu, Jinyong Peng, Youwei Xu, Xu Han, Xufeng Tao, Xu Han, Kexin Liu, Lisha Zhao and Lingli Zheng. Their work appears in journals such as Pharmacological Research, Molecules, Phytomedicine, Food and Chemical Toxicology and British Journal of Pharmacology.
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.