Danni Fu

24 papers receiving 507 citations

Peers

Danni Fu
Comparison fields: 5 of 102
  • Pollution 63
  • Industrial and Manufacturing Engineering 41
  • Cancer Research 52
  • Food Science 67
  • Plant Science 108
Replace Yiran Zhang with:
Yiran Zhang China
Davoud Farajzadeh Iran
Syed Sartaj Alam Pakistan
Maimoona Sabir Pakistan
Zhong China
Archana Mankad India
Tianzhu Li China
Xin-Ying Lin China
Seul Ji Lee South Korea
Danni Fu relative to Yiran Zhang China Yiran Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danni Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Danni Fu Line = papers co-authored together Danni Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018158
2 202278
3 201738
4 202131
5 202120
6 202220
7 202119
8 202216
9 201713
10
Circular RNA circ_0084927 regulates proliferation, apoptosis, and invasion of breast cancer cells via miR-142-3p/ERC1 pathway.
202112
11
CircUBR5 acts as a ceRNA for miR-1179 to up-regulate UBR5 and to promote malignancy of triple-negative breast cancer.
202212
12 202211
13 202111
14 201711
15 202310
16 20239
17 20229
18 20218
19 20178
20 20217

About Danni Fu

Danni Fu is a scholar working on Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine, Pollution and Cancer Research, having authored 24 papers that have together received 511 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), Pesticide and Herbicide Environmental Studies (3 papers), Weed Control and Herbicide Applications (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Fungal Plant Pathogen Control (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Gaze Tracking and Assistive Technology (1 paper). The work is most often cited by research in Pollution (63 citations), Industrial and Manufacturing Engineering (41 citations), Cancer Research (52 citations), Food Science (67 citations) and Plant Science (108 citations). Danni Fu has collaborated with scholars based in China, Pakistan and France. Frequent co-authors include Mengyuan Yu, Shuang Li, Diannan Lu, Chenyu Du, Cheng‐Xi Wei, Darren Greetham, Dong Zhen, Jamil Shafi, Mingshan Ji and Li Yang. Their work appears in journals such as Journal of Ethnopharmacology, Pesticide Biochemistry and Physiology, European Journal of Pharmacology, Frontiers in Pharmacology and Toxicology and Applied Pharmacology.

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.

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