Danni Fu
Impact in
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- Pesticide and Herbicide Environmental Studies
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- MicroRNA in disease regulation
Papers in ⓘ
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
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- Pesticide and Herbicide Environmental Studies 3
- Co-authors
- Cheng‐Xi Wei (8 shared papers)Shuang Li (1 shared paper)Chenyu Du (1 shared paper)Mengyuan Yu (1 shared paper)Diannan Lu (1 shared paper)Darren Greetham (1 shared paper)Zhen Dong (6 shared papers)Dong Zhen (2 shared papers)
In The Last Decade
Danni Fu
24 papers receiving 451 citations
Peers
Comparison fields: 5 of 103
- Pollution 59
- Cancer Research 62
- Industrial and Manufacturing Engineering 33
- Food Science 52
- Plant Science 103
Countries citing papers authored by Danni Fu
This map shows the geographic impact of Danni 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 Danni Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Fu more than expected).
Fields of papers citing papers by Danni Fu
This network shows the impact of papers produced by Danni 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 Danni Fu. The network helps show where Danni Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 122 | |
| 2 | 2022 | 78 | |
| 3 | 2017 | 38 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 13 | |
| 9 | Circular RNA circ_0084927 regulates proliferation, apoptosis, and invasion of breast cancer cells via miR-142-3p/ERC1 pathway. | 2021 | 12 |
| 10 | CircUBR5 acts as a ceRNA for miR-1179 to up-regulate UBR5 and to promote malignancy of triple-negative breast cancer. | 2022 | 12 |
| 11 | 2021 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 6 |
About Danni Fu
Danni Fu is a scholar working on Cancer Research, Pollution, Complementary and alternative medicine, Physical Therapy, Sports Therapy and Rehabilitation and Sensory Systems, having authored 24 papers that have together received 455 indexed citations. Recurring topics across this work include Pesticide and Herbicide Environmental Studies (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Weed Control and Herbicide Applications (3 papers), Cancer-related molecular mechanisms research (2 papers), Fungal Plant Pathogen Control (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Pollution (59 citations), Cancer Research (62 citations), Industrial and Manufacturing Engineering (33 citations), Food Science (52 citations) and Plant Science (103 citations). Danni Fu has collaborated with scholars based in China, Pakistan and France. Frequent co-authors include Cheng‐Xi Wei, Shuang Li, Chenyu Du, Mengyuan Yu, Diannan Lu, Darren Greetham, Zhen Dong, Dong Zhen, Mingshan Ji and Hairu Li. Their work appears in journals such as Journal of Ethnopharmacology, European Journal of Pharmacology, Pesticide Biochemistry and Physiology, Cell and Tissue Research and American Journal of Translational Research.
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.