Mengxia Tan
Impact in
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
-
- Traditional Chinese Medicine Analysis
Papers in
- Pharmacology 11
- Pharmacological Effects of Natural Compounds 8
- Phytochemistry and Bioactivity Studies 3
-
- Traditional Chinese Medicine Analysis 5
- Co-authors
- Xunhong Liu (24 shared papers)Lisi Zou (22 shared papers)Jiali Chen (21 shared papers)Chengcheng Wang (12 shared papers)Yuqi Mei (15 shared papers)Zhichen Cai (14 shared papers)Cuihua Chen (12 shared papers)Lifang Wei (13 shared papers)
In The Last Decade
Mengxia Tan
35 papers receiving 769 citations
Peers
Comparison fields: 5 of 98
- Pharmacology 188
- Complementary and alternative medicine 100
- Biochemistry 76
- Analytical Chemistry 69
- Plant Science 234
Countries citing papers authored by Mengxia Tan
This map shows the geographic impact of Mengxia Tan'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 Mengxia Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengxia Tan more than expected).
Fields of papers citing papers by Mengxia Tan
This network shows the impact of papers produced by Mengxia Tan. 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 Mengxia Tan. The network helps show where Mengxia Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengxia Tan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 98 | |
| 2 | 2019 | 49 | |
| 3 | 2020 | 45 | |
| 4 | 2018 | 39 | |
| 5 | 2019 | 34 | |
| 6 | 2020 | 34 | |
| 7 | 2018 | 32 | |
| 8 | 2015 | 32 | |
| 9 | 2019 | 28 | |
| 10 | 2021 | 27 | |
| 11 | 2017 | 27 | |
| 12 | 2019 | 27 | |
| 13 | 2017 | 26 | |
| 14 | 2019 | 26 | |
| 15 | 2021 | 25 | |
| 16 | 2020 | 25 | |
| 17 | 2019 | 24 | |
| 18 | 2019 | 24 | |
| 19 | 2020 | 23 | |
| 20 | 2019 | 19 |
About Mengxia Tan
Mengxia Tan is a scholar working on Pharmacology, Complementary and alternative medicine, Analytical Chemistry, Molecular Biology and Biochemistry, having authored 35 papers that have together received 781 indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (10 papers), Pharmacological Effects of Natural Compounds (8 papers), Natural product bioactivities and synthesis (7 papers), Phytochemistry and Biological Activities (7 papers), Chromatography in Natural Products (6 papers), Traditional Chinese Medicine Analysis (5 papers), Pain Mechanisms and Treatments (4 papers) and Phytochemistry and Bioactivity Studies (3 papers). The work is most often cited by research in Pharmacology (188 citations), Complementary and alternative medicine (100 citations), Biochemistry (76 citations), Analytical Chemistry (69 citations) and Plant Science (234 citations). Mengxia Tan has collaborated with scholars based in China and Singapore. Frequent co-authors include Xunhong Liu, Lisi Zou, Jiali Chen, Chengcheng Wang, Yuqi Mei, Zhichen Cai, Cuihua Chen, Lifang Wei, Jingjing Shi and Zixiu Liu. Their work appears in journals such as Molecules, Phytochemical Analysis, Chemical and Pharmaceutical Bulletin, Cellular Physiology and Biochemistry and Journal of Pharmaceutical and Biomedical Analysis.
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.