Jing Fei
Impact in
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- RNA regulation and disease
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Receptor Mechanisms and Signaling
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- Cancer-related molecular mechanisms research
Papers in
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- Identification and Quantification in Food 7
- Molecular Biology Techniques and Applications 7
- Cancer-related gene regulation 4
- Receptor Mechanisms and Signaling 4
- Genomics and Phylogenetic Studies 3
- RNA Research and Splicing 3
- RNA regulation and disease 3
- Co-authors
- Xin-Yuan Guan (2 shared papers)Leilei Chen (2 shared papers)Tim Hon Man Chan (2 shared papers)Masaki Mogi (5 shared papers)Li‐Juan Min (5 shared papers)Kana Tsukuda (5 shared papers)Masatsugu Horiuchi (5 shared papers)Jun Iwanami (5 shared papers)
In The Last Decade
Jing Fei
33 papers receiving 984 citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 630
- Cancer Research 117
- Cardiology and Cardiovascular Medicine 144
- Neurology 44
- Immunology 82
Countries citing papers authored by Jing Fei
This map shows the geographic impact of Jing Fei'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 Jing Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Fei more than expected).
Fields of papers citing papers by Jing Fei
This network shows the impact of papers produced by Jing Fei. 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 Jing Fei. The network helps show where Jing Fei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Fei, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 194 | |
| 2 | 2013 | 170 | |
| 3 | 2009 | 91 | |
| 4 | 2011 | 88 | |
| 5 | 2010 | 54 | |
| 6 | 2018 | 44 | |
| 7 | 2009 | 38 | |
| 8 | 2014 | 35 | |
| 9 | 2014 | 34 | |
| 10 | 2007 | 31 | |
| 11 | 2013 | 28 | |
| 12 | 2006 | 25 | |
| 13 | 2003 | 23 | |
| 14 | 2020 | 17 | |
| 15 | 2012 | 16 | |
| 16 | 2011 | 15 | |
| 17 | 2020 | 15 | |
| 18 | 2006 | 12 | |
| 19 | 2014 | 10 | |
| 20 | 2006 | 7 |
About Jing Fei
Jing Fei is a scholar working on Molecular Biology, Animal Science and Zoology, Genetics, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 997 indexed citations. Recurring topics across this work include Identification and Quantification in Food (7 papers), Molecular Biology Techniques and Applications (7 papers), Cancer-related gene regulation (4 papers), Receptor Mechanisms and Signaling (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (3 papers), Renin-Angiotensin System Studies (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Molecular Biology (630 citations), Cancer Research (117 citations), Cardiology and Cardiovascular Medicine (144 citations), Neurology (44 citations) and Immunology (82 citations). Jing Fei has collaborated with scholars based in China, Japan and Sweden. Frequent co-authors include Xin-Yuan Guan, Leilei Chen, Tim Hon Man Chan, Masaki Mogi, Li‐Juan Min, Kana Tsukuda, Masatsugu Horiuchi, Jun Iwanami, Akiko Sakata and Haibo Liu. Their work appears in journals such as Textile Research Journal, Molecular Biology Reports, Signal Transduction and Targeted Therapy, Reproductive Biology and Aquatic Toxicology.
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.