Shikai Yan
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 0.5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Natural product bioactivities and synthesis 33
- Metabolomics and Mass Spectrometry Studies 21
- Phytochemical compounds biological activities 15
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- Phytochemistry and Biological Activities 29
- Co-authors
- Weidong Zhang (81 shared papers)Hui‐Zi Jin (80 shared papers)Xue Xiao (15 shared papers)Yuan Lu (1 shared paper)Xianglu Rong (1 shared paper)Jiao Guo (1 shared paper)Runhui Liu (14 shared papers)Weixing Dai (16 shared papers)
In The Last Decade
Shikai Yan
135 papers receiving 2.9k citations
Shikai Yan's Hit Papers
Peers
Comparison fields: 5 of 135
- Complementary and alternative medicine 668
- Pharmacology 669
- Molecular Biology 1.8k
- Pharmacology 347
- Analytical Chemistry 194
Countries citing papers authored by Shikai Yan
This map shows the geographic impact of Shikai 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 Shikai Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikai Yan more than expected).
Fields of papers citing papers by Shikai Yan
This network shows the impact of papers produced by Shikai 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 Shikai Yan. The network helps show where Shikai Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shikai 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
Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Network Pharmacology in Research of Chinese Medicine Formula: Methodology, Application and Prospective Hit paper breakdown → | 2019 | 484 |
| 2 | 2005 | 110 | |
| 3 | 2007 | 79 | |
| 4 | 2007 | 76 | |
| 5 | 2022 | 71 | |
| 6 | 2015 | 69 | |
| 7 | 2009 | 66 | |
| 8 | 2008 | 63 | |
| 9 | 2008 | 60 | |
| 10 | 2005 | 56 | |
| 11 | 2009 | 55 | |
| 12 | 2009 | 54 | |
| 13 | 2008 | 49 | |
| 14 | 2006 | 48 | |
| 15 | 2011 | 45 | |
| 16 | 2011 | 43 | |
| 17 | 2006 | 41 | |
| 18 | 2008 | 40 | |
| 19 | 2009 | 40 | |
| 20 | 2008 | 39 |
About Shikai Yan
Shikai Yan is a scholar working on Molecular Biology, Plant Science, Complementary and alternative medicine, Pharmacology and Biochemistry, having authored 138 papers that have together received 3.0k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (33 papers), Phytochemistry and Biological Activities (29 papers), Traditional Chinese Medicine Analysis (23 papers), Metabolomics and Mass Spectrometry Studies (21 papers), Traditional and Medicinal Uses of Annonaceae (19 papers), Phytochemical compounds biological activities (15 papers), Chromatography in Natural Products (12 papers) and Sesquiterpenes and Asteraceae Studies (11 papers). The work is most often cited by research in Complementary and alternative medicine (668 citations), Pharmacology (669 citations), Molecular Biology (1.8k citations), Pharmacology (347 citations) and Analytical Chemistry (194 citations). Shikai Yan has collaborated with scholars based in China, Pakistan and Romania. Frequent co-authors include Weidong Zhang, Hui‐Zi Jin, Xue Xiao, Yuan Lu, Xianglu Rong, Jiao Guo, Runhui Liu, Weixing Dai, Yiming Wang and Zhongying Lin. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Fitoterapia, Phytochemistry Letters, Helvetica Chimica Acta and Chemical and Pharmaceutical Bulletin.
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.