Jin Fu
Impact in
- Pharmacology top 1%
- Cannabis and Cannabinoid Research
- Toxicology top 5%
Papers in
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- Circular RNAs in diseases 2
- Peroxisome Proliferator-Activated Receptors 2
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- Herpesvirus Infections and Treatments 3
- Co-authors
- Giovanna La Rana (1 shared paper)Daniele Piomelli (1 shared paper)Antonio Calignano (1 shared paper)Roberto Russo (1 shared paper)Giuseppe Astarita (1 shared paper)Chunrong Sun (6 shared papers)Nan Jia (6 shared papers)Fei Xiao (7 shared papers)
In The Last Decade
Jin Fu
26 papers receiving 1.2k citations
Jin Fu's Hit Papers
Peers
Comparison fields: 5 of 97
- Pharmacology 539
- Toxicology 42
- Biological Psychiatry 23
- Virology 44
- Cancer Research 123
Countries citing papers authored by Jin Fu
This map shows the geographic impact of Jin 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 Jin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Fu more than expected).
Fields of papers citing papers by Jin Fu
This network shows the impact of papers produced by Jin 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 Jin Fu. The network helps show where Jin Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Nuclear Receptor Peroxisome Proliferator-Activated Receptor-α Mediates the Anti-Inflammatory Actions of Palmitoylethanolamide Hit paper breakdown → | 2004 | 770 |
| 2 | 2016 | 87 | |
| 3 | 2014 | 79 | |
| 4 | 2023 | 36 | |
| 5 | 2013 | 31 | |
| 6 | 2017 | 29 | |
| 7 | 2011 | 27 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2024 | 18 | |
| 11 | 2019 | 13 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2011 | 8 | |
| 15 | 2014 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Jin Fu
Jin Fu is a scholar working on Molecular Biology, Epidemiology, Biomedical Engineering, Plant Science and Virology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), Bacterial Infections and Vaccines (3 papers), Herpesvirus Infections and Treatments (3 papers), Poxvirus research and outbreaks (3 papers), Bacteriophages and microbial interactions (3 papers), Circular RNAs in diseases (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Water Treatment and Disinfection (2 papers). The work is most often cited by research in Pharmacology (539 citations), Toxicology (42 citations), Biological Psychiatry (23 citations), Virology (44 citations) and Cancer Research (123 citations). Jin Fu has collaborated with scholars based in China, Hong Kong and Denmark. Frequent co-authors include Giovanna La Rana, Daniele Piomelli, Antonio Calignano, Roberto Russo, Giuseppe Astarita, Chunrong Sun, Nan Jia, Fei Xiao, Xiaolan Huang and Longhe Yang. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Food Chemistry, Journal of Neuroimmunology, Molecular Pharmacology and Clinical & Experimental Immunology.
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.