Suiqing Chen
Impact in
- Pharmacology top 5%
-
- Traditional Chinese Medicine Analysis
Papers in
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- Natural product bioactivities and synthesis 13
- Bioactive Natural Diterpenoids Research 9
- Plant biochemistry and biosynthesis 8
- Genomics and Phylogenetic Studies 5
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- Phytochemistry and Biological Activities 19
- Co-authors
- Xiaoya Sun (10 shared papers)Jie Ren (2 shared papers)Xingkai Li (2 shared papers)Shudan Chen (1 shared paper)Yangang Nie (1 shared paper)Lili Wang (5 shared papers)Yong‐Xian Cheng (1 shared paper)Yu Fu (8 shared papers)
- Journals
- Molecules (5 papers)Scientific Reports (4 papers)Fitoterapia (3 papers)International Journal of Environmental Research and Public Health (2 papers)Biomedical Chromatography (2 papers)
- Partner nations
- ChinaSouth KoreaSweden
In The Last Decade
Suiqing Chen
74 papers receiving 737 citations
Peers
Comparison fields: 5 of 115
- Pharmacology 86
- Complementary and alternative medicine 67
- Biochemistry 39
- Molecular Biology 361
- Plant Science 188
Countries citing papers authored by Suiqing Chen
This map shows the geographic impact of Suiqing Chen'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 Suiqing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suiqing Chen more than expected).
Fields of papers citing papers by Suiqing Chen
This network shows the impact of papers produced by Suiqing Chen. 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 Suiqing Chen. The network helps show where Suiqing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Suiqing Chen, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2019 | 41 | |
| 3 | 2018 | 38 | |
| 4 | 2020 | 35 | |
| 5 | 2022 | 27 | |
| 6 | 2018 | 25 | |
| 7 | 2022 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 2017 | 21 | |
| 10 | 2022 | 19 | |
| 11 | 2020 | 19 | |
| 12 | 2016 | 18 | |
| 13 | 2021 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2016 | 14 |
About Suiqing Chen
Suiqing Chen is a scholar working on Molecular Biology, Plant Science, Complementary and alternative medicine, Pharmacology and Pharmacology, having authored 83 papers that have together received 746 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (19 papers), Traditional Chinese Medicine Analysis (14 papers), Natural product bioactivities and synthesis (13 papers), Bioactive Natural Diterpenoids Research (9 papers), Plant biochemistry and biosynthesis (8 papers), Traditional and Medicinal Uses of Annonaceae (6 papers), Plant-based Medicinal Research (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Pharmacology (86 citations), Complementary and alternative medicine (67 citations), Biochemistry (39 citations), Molecular Biology (361 citations) and Plant Science (188 citations). Suiqing Chen has collaborated with scholars based in China, South Korea and Sweden. Frequent co-authors include Xiaoya Sun, Jie Ren, Xingkai Li, Shudan Chen, Yangang Nie, Lili Wang, Yong‐Xian Cheng, Yu Fu, Conglong Lian and Lili Wang. Their work appears in journals such as Molecules, Scientific Reports, Fitoterapia, International Journal of Environmental Research and Public Health and Biomedical Chromatography.
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.