Pan Fu
Impact in
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
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- Gold and Silver Nanoparticles Synthesis and Applications
Papers in
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- Advanced biosensing and bioanalysis techniques 23
- RNA Interference and Gene Delivery 9
- DNA and Nucleic Acid Chemistry 7
- Extracellular vesicles in disease 4
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- Biosensors and Analytical Detection 12
- Co-authors
- Hua Kuang (5 shared papers)Liguang Xu (5 shared papers)Chuanlai Xu (5 shared papers)Maozhong Sun (4 shared papers)Wei Ma (3 shared papers)Chao Zhao (8 shared papers)Shu Xing (8 shared papers)Mengjia Xu (8 shared papers)
- Journals
- Analytical Chemistry (3 papers)Journal of the American Chemical Society (2 papers)RSC Advances (2 papers)Advanced Materials (2 papers)Virus Research (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Pan Fu
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 781
- Electronic, Optical and Magnetic Materials 177
- Biomedical Engineering 417
- Geriatrics and Gerontology 34
- Cancer Research 111
Countries citing papers authored by Pan Fu
This map shows the geographic impact of Pan 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 Pan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Fu more than expected).
Fields of papers citing papers by Pan Fu
This network shows the impact of papers produced by Pan 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 Pan Fu. The network helps show where Pan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 267 | |
| 2 | 2017 | 121 | |
| 3 | 2019 | 84 | |
| 4 | 2022 | 61 | |
| 5 | 2020 | 54 | |
| 6 | 2016 | 54 | |
| 7 | 2016 | 45 | |
| 8 | 2020 | 43 | |
| 9 | 2015 | 36 | |
| 10 | 2022 | 34 | |
| 11 | 2022 | 32 | |
| 12 | 2019 | 26 | |
| 13 | 2018 | 25 | |
| 14 | 2021 | 24 | |
| 15 | 2003 | 22 | |
| 16 | 2021 | 19 | |
| 17 | 2020 | 16 | |
| 18 | 2023 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2018 | 13 |
About Pan Fu
Pan Fu is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Pulmonary and Respiratory Medicine and Ecology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (23 papers), Biosensors and Analytical Detection (12 papers), RNA Interference and Gene Delivery (9 papers), DNA and Nucleic Acid Chemistry (7 papers), Carbon and Quantum Dots Applications (5 papers), Extracellular vesicles in disease (4 papers), Nanocluster Synthesis and Applications (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Molecular Biology (781 citations), Electronic, Optical and Magnetic Materials (177 citations), Biomedical Engineering (417 citations), Geriatrics and Gerontology (34 citations) and Cancer Research (111 citations). Pan Fu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Hua Kuang, Liguang Xu, Chuanlai Xu, Maozhong Sun, Wei Ma, Chao Zhao, Shu Xing, Mengjia Xu, Yang Zhao and Jianping Zheng. Their work appears in journals such as Analytical Chemistry, Journal of the American Chemical Society, RSC Advances, Advanced Materials and Virus 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.