Yu Fu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 9
- Circular RNAs in diseases 6
- RNA Research and Splicing 5
- Advanced biosensing and bioanalysis techniques 5
-
- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 9
- Co-authors
- Hongbing Jiang (30 shared papers)Rongyao Xu (22 shared papers)Jie Cheng (18 shared papers)Ping Zhang (9 shared papers)Weiwen Zhu (9 shared papers)Laikui Liu (10 shared papers)Yifei Du (7 shared papers)Tao Xiao (6 shared papers)
- Journals
- Stem Cells Translational Medicine (2 papers)Cell and Tissue Research (2 papers)Journal of Cellular Physiology (2 papers)Frontiers in Pharmacology (2 papers)Aging (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yu Fu
79 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 511
- Orthopedics and Sports Medicine 144
- Genetics 149
- Molecular Biology 945
- Oncology 225
Countries citing papers authored by Yu Fu
This map shows the geographic impact of Yu 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 Yu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Fu more than expected).
Fields of papers citing papers by Yu Fu
This network shows the impact of papers produced by Yu 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 Yu Fu. The network helps show where Yu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 172 | |
| 2 | 2019 | 90 | |
| 3 | 2021 | 73 | |
| 4 | 2014 | 72 | |
| 5 | 2017 | 72 | |
| 6 | 2020 | 68 | |
| 7 | 2017 | 59 | |
| 8 | 2023 | 52 | |
| 9 | 2021 | 46 | |
| 10 | 2020 | 45 | |
| 11 | 2015 | 45 | |
| 12 | 2018 | 42 | |
| 13 | 2019 | 39 | |
| 14 | 2014 | 37 | |
| 15 | 2017 | 35 | |
| 16 | 2020 | 33 | |
| 17 | 2022 | 27 | |
| 18 | 2021 | 27 | |
| 19 | 2021 | 26 | |
| 20 | 2012 | 26 |
About Yu Fu
Yu Fu is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Genetics, having authored 83 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (9 papers), Mesenchymal stem cell research (6 papers), Circular RNAs in diseases (6 papers), Bone health and treatments (6 papers), RNA Research and Splicing (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Cancer Research (511 citations), Orthopedics and Sports Medicine (144 citations), Genetics (149 citations), Molecular Biology (945 citations) and Oncology (225 citations). Yu Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongbing Jiang, Rongyao Xu, Jie Cheng, Ping Zhang, Weiwen Zhu, Laikui Liu, Yifei Du, Tao Xiao, Xiang Shen and Xiaoming Zhou. Their work appears in journals such as Stem Cells Translational Medicine, Cell and Tissue Research, Journal of Cellular Physiology, Frontiers in Pharmacology and Aging.
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.