Afu Fu
Impact in
- Rehabilitation top 5%
- Magnolia and Illicium research
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
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- Angiogenesis and VEGF in Cancer 5
- Advanced biosensing and bioanalysis techniques 4
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- Nanoplatforms for cancer theranostics 5
- Microfluidic and Bio-sensing Technologies 5
- Molecular Communication and Nanonetworks 4
- 3D Printing in Biomedical Research 4
- Co-authors
- Kathy Qian Luo (11 shared papers)Sagar Regmi (3 shared papers)Yue Wu (4 shared papers)Lijuan Chen (9 shared papers)Gilad Yossifon (5 shared papers)Shijun Ma (3 shared papers)Yuquan Wei (8 shared papers)Sierin Lim (4 shared papers)
In The Last Decade
Afu Fu
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Rehabilitation 82
- Cell Biology 171
- Biomedical Engineering 403
- Cancer Research 134
- Oncology 243
Countries citing papers authored by Afu Fu
This map shows the geographic impact of Afu 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 Afu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afu Fu more than expected).
Fields of papers citing papers by Afu Fu
This network shows the impact of papers produced by Afu 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 Afu Fu. The network helps show where Afu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Afu 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2010 | 80 | |
| 3 | 2010 | 80 | |
| 4 | 2016 | 76 | |
| 5 | 2016 | 72 | |
| 6 | 2007 | 68 | |
| 7 | 2020 | 58 | |
| 8 | 2021 | 55 | |
| 9 | 2012 | 52 | |
| 10 | 2019 | 52 | |
| 11 | 2008 | 45 | |
| 12 | 2015 | 38 | |
| 13 | 2022 | 36 | |
| 14 | 2010 | 34 | |
| 15 | 2009 | 31 | |
| 16 | 2010 | 30 | |
| 17 | 2021 | 29 | |
| 18 | 2015 | 29 | |
| 19 | 2022 | 27 | |
| 20 | 2016 | 27 |
About Afu Fu
Afu Fu is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Rehabilitation and Organic Chemistry, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Magnolia and Illicium research (5 papers), Cancer Cells and Metastasis (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Microfluidic and Bio-sensing Technologies (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Molecular Communication and Nanonetworks (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Rehabilitation (82 citations), Cell Biology (171 citations), Biomedical Engineering (403 citations), Cancer Research (134 citations) and Oncology (243 citations). Afu Fu has collaborated with scholars based in Singapore, China and Israel. Frequent co-authors include Kathy Qian Luo, Sagar Regmi, Yue Wu, Lijuan Chen, Gilad Yossifon, Shijun Ma, Yuquan Wei, Sierin Lim, Jingsong You and Ge Gao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, Biotechnology and Bioengineering, Advanced Science and Oncotarget.
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.