Fei Song
- Biological Psychiatry top 10%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 8
- Cancer-related gene regulation 6
- Insect Resistance and Genetics 6
- RNA modifications and cancer 5
- Cancer Research top 10%
- Physiology top 5%
- Alzheimer's disease research and treatments 6
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research 6
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- Silk-based biomaterials and applications 8
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- Silkworms and Sericulture Research 7
- Co-authors
- Anne PoljakPerminder S. SachdevGeorge A. SmytheHiroki NagaseWilliam A. HeldJoseph F. SmithTomoki MatsuyamaMakoto Kimura
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (4 papers)Molecular and Cellular Biology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fei Song
53 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 133
- Biological Psychiatry 51
- Molecular Biology 1.1k
- Cancer Research 236
- Physiology 403
- Psychiatry and Mental health 157
Countries citing papers authored by Fei Song
This map shows the geographic impact of Fei Song'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 Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Song more than expected).
Fields of papers citing papers by Fei Song
This network shows the impact of papers produced by Fei Song. 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 Song. The network helps show where Fei Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fei Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 10 | |
| 10 | 2016 | 4 | |
| 11 | 2016 | 7 | |
| 12 | 2014 | 72 | |
| 13 | 2013 | 6 | |
| 14 | 2012 | 158 | |
| 15 | 2012 | 11 | |
| 16 | Transfection of Mouse Bone Marrow Mesenchymal Stem Cells with Lipofectamine-mediated Cytosine Deaminase Genes | 2009 | 1 |
| 17 | 2009 | 141 | |
| 18 | 2008 | 105 | |
| 19 | 2008 | 35 | |
| 20 | 2007 | 71 |
About Fei Song
Fei Song is a scholar working on Biomaterials, Insect Science and Developmental Biology, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (8 papers), Epigenetics and DNA Methylation (8 papers), Silkworms and Sericulture Research (7 papers), Cancer-related gene regulation (6 papers), Alzheimer's disease research and treatments (6 papers), Dementia and Cognitive Impairment Research (6 papers), Insect Resistance and Genetics (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Molecular Biology (1.1k citations) and Cancer Research (236 citations). Fei Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Anne Poljak, Perminder S. Sachdev, George A. Smythe, Hiroki Nagase, William A. Held, Joseph F. Smith, Tomoki Matsuyama, Makoto Kimura, Henry Brodaty and Saleh Mahmood. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.
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.