Fei Jiang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Circular RNAs in diseases 11
- Retinoids in leukemia and cellular processes 7
-
- MicroRNA in disease regulation 16
- Cancer-related molecular mechanisms research 11
- Co-authors
- Wenjie Zhang (14 shared papers)Xinquan Jiang (10 shared papers)Sihan Lin (9 shared papers)Guangzheng Yang (9 shared papers)Zhong Li (10 shared papers)Xiaobing Shen (11 shared papers)Shi Yin (5 shared papers)Yuan Li (7 shared papers)
- Journals
- Advanced Materials (4 papers)Scientific Reports (4 papers)European Journal of Medicinal Chemistry (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Bioactive Materials (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Jiang
189 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 155
- Cancer Research 568
- Biomaterials 490
- Urology 162
- Molecular Biology 1.6k
- Molecular Medicine 104
Countries citing papers authored by Fei Jiang
This map shows the geographic impact of Fei Jiang'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 Fei Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Jiang more than expected).
Fields of papers citing papers by Fei Jiang
This network shows the impact of papers produced by Fei Jiang. 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 Fei Jiang. The network helps show where Fei Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Jiang, 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 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 184 | |
| 2 | 2021 | 175 | |
| 3 | 2013 | 164 | |
| 4 | 2020 | 100 | |
| 5 | 2017 | 97 | |
| 6 | 2019 | 96 | |
| 7 | 2015 | 95 | |
| 8 | 2017 | 94 | |
| 9 | 2021 | 93 | |
| 10 | 2020 | 92 | |
| 11 | 2020 | 75 | |
| 12 | 2015 | 72 | |
| 13 | 2014 | 68 | |
| 14 | 2016 | 66 | |
| 15 | 2014 | 66 | |
| 16 | 2019 | 58 | |
| 17 | 2016 | 57 | |
| 18 | 2015 | 57 | |
| 19 | 2020 | 56 | |
| 20 | 2019 | 55 |
About Fei Jiang
Fei Jiang is a scholar working on Molecular Biology, Cancer Research, Surgery, Mechanical Engineering and Biomedical Engineering, having authored 206 papers that have together received 4.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), Tissue Engineering and Regenerative Medicine (13 papers), Bone Tissue Engineering Materials (13 papers), Mesenchymal stem cell research (11 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (11 papers), interferon and immune responses (8 papers) and Retinoids in leukemia and cellular processes (7 papers). The work is most often cited by research in Cancer Research (568 citations), Biomaterials (490 citations), Urology (162 citations), Molecular Biology (1.6k citations) and Molecular Medicine (104 citations). Fei Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenjie Zhang, Xinquan Jiang, Sihan Lin, Guangzheng Yang, Zhong Li, Xiaobing Shen, Shi Yin, Yuan Li, Yuezhi Lu and Shilong Ning. Their work appears in journals such as Advanced Materials, Scientific Reports, European Journal of Medicinal Chemistry, Journal of Cellular and Molecular Medicine and Bioactive Materials.
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.