Rui‐Jia Fu
Impact in
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- Traditional Chinese Medicine Analysis
- Natural Compounds in Disease Treatment
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Traditional Chinese Medicine Analysis 7
- Co-authors
- Yuping Tang (29 shared papers)Shi‐Jun Yue (25 shared papers)Ding‐Qiao Xu (32 shared papers)Sai Mei Zhang (5 shared papers)Yanyan Chen (2 shared papers)Yan-Yan Chen (10 shared papers)Xue Bai (3 shared papers)Mei Wang (1 shared paper)
In The Last Decade
Rui‐Jia Fu
56 papers receiving 851 citations
Peers
Comparison fields: 5 of 96
- Complementary and alternative medicine 109
- Pharmacology 114
- Gastroenterology 52
- Molecular Biology 318
- Cancer Research 62
Countries citing papers authored by Rui‐Jia Fu
This map shows the geographic impact of Rui‐Jia Fu'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 Rui‐Jia Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui‐Jia Fu more than expected).
Fields of papers citing papers by Rui‐Jia Fu
This network shows the impact of papers produced by Rui‐Jia Fu. 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 Rui‐Jia Fu. The network helps show where Rui‐Jia Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui‐Jia Fu, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 104 | |
| 2 | 2010 | 96 | |
| 3 | 2020 | 63 | |
| 4 | 2021 | 61 | |
| 5 | 2022 | 53 | |
| 6 | 2023 | 36 | |
| 7 | 2021 | 31 | |
| 8 | 2023 | 31 | |
| 9 | 2024 | 24 | |
| 10 | 2020 | 21 | |
| 11 | 2023 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 16 | |
| 14 | 2024 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 1997 | 13 | |
| 18 | 2016 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2022 | 11 |
About Rui‐Jia Fu
Rui‐Jia Fu is a scholar working on Complementary and alternative medicine, Pharmacology, Spectroscopy, Molecular Biology and Pharmacology, having authored 60 papers that have together received 863 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (9 papers), Traditional Chinese Medicine Analysis (7 papers), Phytochemistry and Biological Activities (6 papers), Ginseng Biological Effects and Applications (4 papers), Natural product bioactivities and synthesis (4 papers), Chromatography in Natural Products (3 papers), Parasitic infections in humans and animals (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Complementary and alternative medicine (109 citations), Pharmacology (114 citations), Gastroenterology (52 citations), Molecular Biology (318 citations) and Cancer Research (62 citations). Rui‐Jia Fu has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Yuping Tang, Shi‐Jun Yue, Ding‐Qiao Xu, Sai Mei Zhang, Yanyan Chen, Yan-Yan Chen, Xue Bai, Mei Wang, Yanxin Luo and Jie Jiang. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Pharmacology, Chromatographia, Chinese Journal of Integrative Medicine 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.