Cong Fu
Impact in
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- Nanoparticle-Based Drug Delivery
Papers in
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- Circular RNAs in diseases 2
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- Nanoplatforms for cancer theranostics 5
- Co-authors
- Hening Liu (8 shared papers)Yue Yin (7 shared papers)Yuqi Cao (8 shared papers)Lu Tang (6 shared papers)Wei Wang (7 shared papers)Jingwen Feng (4 shared papers)Xing‐Jie Liang (3 shared papers)Jifan Gao (4 shared papers)
- Journals
- Advanced Materials (3 papers)Nano Letters (2 papers)The International Journal of Oral & Maxillofacial Implants (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)BMC Nursing (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Cong Fu
42 papers receiving 469 citations
Cong Fu's Hit Papers
Peers
Comparison fields: 5 of 110
- Biomaterials 66
- Internal Medicine 17
- Biomedical Engineering 169
- Pharmaceutical Science 22
- Immunology 74
Countries citing papers authored by Cong Fu
This map shows the geographic impact of Cong 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 Cong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Fu more than expected).
Fields of papers citing papers by Cong Fu
This network shows the impact of papers produced by Cong 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 Cong Fu. The network helps show where Cong Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 98 | |
| 2 | Blood–Brain Barrier‐Penetrating and Lesion‐Targeting Nanoplatforms Inspired by the Pathophysiological Features for Synergistic Ischemic Stroke Therapy Hit paper breakdown → | 2024 | 61 |
| 3 | 2024 | 39 | |
| 4 | 2024 | 32 | |
| 5 | 2023 | 30 | |
| 6 | 2006 | 23 | |
| 7 | 2024 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2024 | 18 | |
| 11 | 2017 | 13 | |
| 12 | 2025 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2025 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2008 | 4 | |
| 20 | 2023 | 4 |
About Cong Fu
Cong Fu is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 483 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), High-Voltage Power Transmission Systems (3 papers), Immune cells in cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Conducting polymers and applications (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Biomaterials (66 citations), Internal Medicine (17 citations), Biomedical Engineering (169 citations), Pharmaceutical Science (22 citations) and Immunology (74 citations). Cong Fu has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Hening Liu, Yue Yin, Yuqi Cao, Lu Tang, Wei Wang, Jingwen Feng, Xing‐Jie Liang, Jifan Gao, Wei Wang and Jingwen Feng. Their work appears in journals such as Advanced Materials, Nano Letters, The International Journal of Oral & Maxillofacial Implants, International Journal of Machine Learning and Cybernetics and BMC Nursing.
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.