Fen Ji
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Epigenetics and DNA Methylation 10
- Pluripotent Stem Cells Research 4
- Circular RNAs in diseases 3
- Mitochondrial Function and Pathology 3
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- Neurogenesis and neuroplasticity mechanisms 10
- Co-authors
- Jianwei Jiao (29 shared papers)Zengqiang Yuan (2 shared papers)Xuepei Lei (2 shared papers)Huiguo Ding (2 shared papers)Po Tien (1 shared paper)Bo Yang (1 shared paper)Hong You (1 shared paper)Xiaohui Lv (2 shared papers)
- Journals
- Advanced Science (5 papers)Cell Reports (3 papers)EMBO Reports (3 papers)Cell Proliferation (3 papers)Molecular Psychiatry (3 papers)
- Partner nations
- ChinaUnited KingdomUnited Arab Emirates
In The Last Decade
Fen Ji
39 papers receiving 835 citations
Peers
Comparison fields: 5 of 96
- Developmental Neuroscience 114
- Cancer Research 204
- Biological Psychiatry 24
- Neurology 67
- Molecular Biology 510
Countries citing papers authored by Fen Ji
This map shows the geographic impact of Fen Ji'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 Fen Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Ji more than expected).
Fields of papers citing papers by Fen Ji
This network shows the impact of papers produced by Fen Ji. 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 Fen Ji. The network helps show where Fen Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Ji, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 133 | |
| 2 | 2011 | 127 | |
| 3 | 2021 | 61 | |
| 4 | 2014 | 55 | |
| 5 | 2017 | 55 | |
| 6 | 2015 | 53 | |
| 7 | 2013 | 43 | |
| 8 | 2018 | 34 | |
| 9 | 2016 | 31 | |
| 10 | 2023 | 29 | |
| 11 | 2017 | 26 | |
| 12 | 2016 | 23 | |
| 13 | 2020 | 20 | |
| 14 | 2022 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2022 | 11 | |
| 19 | 2024 | 10 | |
| 20 | [The genetic characterization and molecular evolution of echovirus 30 during outbreaks of aseptic meningitis]. | 2006 | 10 |
About Fen Ji
Fen Ji is a scholar working on Molecular Biology, Developmental Neuroscience, Neurology, Immunology and Cancer Research, having authored 41 papers that have together received 846 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (10 papers), Epigenetics and DNA Methylation (10 papers), MicroRNA in disease regulation (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Pluripotent Stem Cells Research (4 papers), Circular RNAs in diseases (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Developmental Neuroscience (114 citations), Cancer Research (204 citations), Biological Psychiatry (24 citations), Neurology (67 citations) and Molecular Biology (510 citations). Fen Ji has collaborated with scholars based in China, United Kingdom and United Arab Emirates. Frequent co-authors include Jianwei Jiao, Zengqiang Yuan, Xuepei Lei, Huiguo Ding, Po Tien, Bo Yang, Hong You, Xiaohui Lv, Guangju Ji and Hong Li. Their work appears in journals such as Advanced Science, Cell Reports, EMBO Reports, Cell Proliferation and Molecular Psychiatry.
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.