Jun 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
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Zhijin Zhang (8 shared papers)Yuhao Zhang (3 shared papers)Xianju Qin (5 shared papers)Shengli Pan (4 shared papers)Yingying Deng (3 shared papers)Yue Feng (1 shared paper)Cuicui Ge (1 shared paper)Yuhao Zhang (4 shared papers)
- Journals
- OncoTargets and Therapy (2 papers)Cellular Physiology and Biochemistry (2 papers)Marine Drugs (2 papers)Cell Death and Disease (2 papers)International Journal of Molecular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesTunisia
In The Last Decade
Jun Fu
57 papers receiving 826 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 248
- Molecular Biology 392
- Immunology 108
- Cell Biology 60
- Epidemiology 119
Countries citing papers authored by Jun Fu
This map shows the geographic impact of Jun 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 Jun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fu more than expected).
Fields of papers citing papers by Jun Fu
This network shows the impact of papers produced by Jun 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 Jun Fu. The network helps show where Jun Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 75 | |
| 2 | LncRNA-LINC00152 down-regulated by miR-376c-3p restricts viability and promotes apoptosis of colorectal cancer cells. | 2016 | 61 |
| 3 | 2022 | 45 | |
| 4 | 2019 | 43 | |
| 5 | 2013 | 37 | |
| 6 | 2018 | 35 | |
| 7 | 2019 | 31 | |
| 8 | 2021 | 30 | |
| 9 | 2018 | 29 | |
| 10 | 2011 | 28 | |
| 11 | 2013 | 26 | |
| 12 | 2020 | 26 | |
| 13 | 2002 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2020 | 25 | |
| 16 | 2010 | 22 | |
| 17 | 2016 | 21 | |
| 18 | 2012 | 20 | |
| 19 | 2018 | 17 | |
| 20 | 2019 | 16 |
About Jun Fu
Jun Fu is a scholar working on Cancer Research, Biological Psychiatry, Toxicology, Immunology and Molecular Biology, having authored 61 papers that have together received 839 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related gene regulation (4 papers), Kruppel-like factors research (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Cancer Research (248 citations), Molecular Biology (392 citations), Immunology (108 citations), Cell Biology (60 citations) and Epidemiology (119 citations). Jun Fu has collaborated with scholars based in China, United States and Tunisia. Frequent co-authors include Zhijin Zhang, Yuhao Zhang, Xianju Qin, Shengli Pan, Yingying Deng, Yue Feng, Cuicui Ge, Yuhao Zhang, Yuexia Wang and Benling Qi. Their work appears in journals such as OncoTargets and Therapy, Cellular Physiology and Biochemistry, Marine Drugs, Cell Death and Disease and International Journal of Molecular Medicine.
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.