Yan Qi
Impact in
- Pharmacology top 0.2%
- Drug-Induced Hepatotoxicity and Protection
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Natural product bioactivities and synthesis 20
- Phytochemical Studies and Bioactivities 20
- Genomics, phytochemicals, and oxidative stress 12
-
- MicroRNA in disease regulation 18
- Cancer-related molecular mechanisms research 10
- Co-authors
- Lianhong Yin (80 shared papers)Lina Xu (84 shared papers)Jinyong Peng (78 shared papers)Youwei Xu (69 shared papers)Xu Han (53 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)Food and Chemical Toxicology (5 papers)British Journal of Pharmacology (5 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Qi
198 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 155
- Pharmacology 721
- Cancer Research 890
- Molecular Biology 3.3k
- Hepatology 330
- Complementary and alternative medicine 331
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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 274 | |
| 2 | 2018 | 182 | |
| 3 | 2017 | 126 | |
| 4 | 2015 | 121 | |
| 5 | 2018 | 117 | |
| 6 | 2009 | 116 | |
| 7 | 2013 | 115 | |
| 8 | 2016 | 112 | |
| 9 | 2015 | 103 | |
| 10 | 2013 | 100 | |
| 11 | 2017 | 98 | |
| 12 | 2012 | 96 | |
| 13 | 2015 | 94 | |
| 14 | 2018 | 91 | |
| 15 | 2013 | 89 | |
| 16 | 2017 | 87 | |
| 17 | 2017 | 87 | |
| 18 | 2015 | 82 | |
| 19 | 2016 | 79 | |
| 20 | 2015 | 79 |
About Yan Qi
Yan Qi is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Pharmacology and Analytical Chemistry, having authored 208 papers that have together received 6.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Natural product bioactivities and synthesis (20 papers), Phytochemical Studies and Bioactivities (20 papers), MicroRNA in disease regulation (18 papers), Chromatography in Natural Products (15 papers), Genomics, phytochemicals, and oxidative stress (12 papers), Drug-Induced Hepatotoxicity and Protection (11 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Pharmacology (721 citations), Cancer Research (890 citations), Molecular Biology (3.3k citations), Hepatology (330 citations) and Complementary and alternative medicine (331 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, Food and Chemical Toxicology, British Journal of Pharmacology 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.