Kaijing Yan
Impact in
-
- Traditional Chinese Medicine Analysis
- Traditional Chinese Medicine Studies
- Pharmacology top 10%
Papers in
-
- Traditional Chinese Medicine Analysis 13
-
- Pharmacological Effects of Natural Compounds 5
- Co-authors
- Dongfeng YangXuemin ZhangBingcong XingZongsuo LiangRuilian HanZhuoni HouPengguo XiaShuiping Zhou
- Journals
- Industrial Crops and Products (3 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)International Journal of Biological Macromolecules (2 papers)PROTOPLASMA (2 papers)Biomedical Chromatography (2 papers)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Kaijing Yan
37 papers receiving 686 citations
Peers
Comparison fields: 5 of 108
- Complementary and alternative medicine 192
- Pharmacology 70
- Molecular Biology 425
- Biochemistry 33
- Plant Science 196
Countries citing papers authored by Kaijing Yan
This map shows the geographic impact of Kaijing 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 Kaijing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijing Yan more than expected).
Fields of papers citing papers by Kaijing Yan
This network shows the impact of papers produced by Kaijing 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 Kaijing Yan. The network helps show where Kaijing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaijing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 27 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 30 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 47 | |
| 12 | 2021 | 28 | |
| 13 | 2021 | 31 | |
| 14 | 2019 | 14 | |
| 15 | 2019 | 51 | |
| 16 | 2019 | 21 | |
| 17 | 2016 | 10 | |
| 18 | 2016 | 25 | |
| 19 | 2016 | 21 | |
| 20 | 2014 | 13 |
About Kaijing Yan
Kaijing Yan is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Analytical Chemistry and Ecological Modeling, having authored 37 papers that have together received 697 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (13 papers), Ginseng Biological Effects and Applications (11 papers), Plant biochemistry and biosynthesis (8 papers), Plant Gene Expression Analysis (7 papers), Pharmacological Effects of Natural Compounds (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Photosynthetic Processes and Mechanisms (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Complementary and alternative medicine (192 citations), Pharmacology (70 citations), Molecular Biology (425 citations), Biochemistry (33 citations) and Plant Science (196 citations). Kaijing Yan has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Dongfeng Yang, Xuemin Zhang, Bingcong Xing, Zongsuo Liang, Ruilian Han, Zhuoni Hou, Pengguo Xia, Zongsuo Liang, Shuiping Zhou and Yonghong Zhu. Their work appears in journals such as Industrial Crops and Products, Journal of Pharmaceutical and Biomedical Analysis, International Journal of Biological Macromolecules, PROTOPLASMA 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.