Zhao Fu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
Papers in
-
- Circular RNAs in diseases 4
-
- Biomarkers in Disease Mechanisms 2
- Co-authors
- Changlin Lian (5 shared papers)Ningbo Xu (5 shared papers)Hongbo Guo (5 shared papers)Huijun Zeng (5 shared papers)Boyang Liu (3 shared papers)Jian Zhou (2 shared papers)Yufei Lu (1 shared paper)Yanting Liu (2 shared papers)
- Journals
- Cell Death and Disease (3 papers)Advanced Optical Materials (1 paper)The FASEB Journal (1 paper)Applied Physics Letters (1 paper)Cancer Cell International (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Zhao Fu
21 papers receiving 429 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 170
- Molecular Biology 233
- Genetics 33
- Neurology 11
- Immunology 27
Countries citing papers authored by Zhao Fu
This map shows the geographic impact of Zhao 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 Zhao Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhao Fu more than expected).
Fields of papers citing papers by Zhao Fu
This network shows the impact of papers produced by Zhao 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 Zhao Fu. The network helps show where Zhao Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhao 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2018 | 65 | |
| 3 | 2017 | 41 | |
| 4 | 2017 | 29 | |
| 5 | 2021 | 28 | |
| 6 | 2019 | 27 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 17 | |
| 10 | 2025 | 17 | |
| 11 | 2024 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2025 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2025 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2020 | 3 |
About Zhao Fu
Zhao Fu is a scholar working on Molecular Biology, Immunology, Cancer Research, Materials Chemistry and Electrical and Electronic Engineering, having authored 22 papers that have together received 432 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Biomarkers in Disease Mechanisms (2 papers), Silicon Carbide Semiconductor Technologies (2 papers), 2D Materials and Applications (2 papers), Graphene research and applications (2 papers), Semiconductor materials and devices (2 papers) and GaN-based semiconductor devices and materials (2 papers). The work is most often cited by research in Cancer Research (170 citations), Molecular Biology (233 citations), Genetics (33 citations), Neurology (11 citations) and Immunology (27 citations). Zhao Fu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Changlin Lian, Ningbo Xu, Hongbo Guo, Huijun Zeng, Boyang Liu, Jian Zhou, Yufei Lu, Yanting Liu, Congjun Wang and Zhenyan He. Their work appears in journals such as Cell Death and Disease, Advanced Optical Materials, The FASEB Journal, Applied Physics Letters and Cancer Cell International.
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.