Fei Yi
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Epigenetics and DNA Methylation
- Wnt/β-catenin signaling in development and cancer
- RNA Research and Splicing
Papers in
-
- Sirtuins and Resveratrol in Medicine 4
-
- Pluripotent Stem Cells Research 23
- CRISPR and Genetic Engineering 15
- Renal and related cancers 5
- RNA Research and Splicing 5
- DNA Repair Mechanisms 4
- Protein Kinase Regulation and GTPase Signaling 4
- Co-authors
- Bradley J. MerrillLaura PereiraGuang‐Hui LiuJuan Carlos Izpisúa BelmonteXiuling XuThomas C. SüdhofMarius WernigShunlei Duan
- Journals
- Protein & Cell (9 papers)International Journal of Biological Sciences (8 papers)Cell Research (5 papers)Journal of Biological Chemistry (4 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Fei Yi
61 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 113
- Aging 75
- Molecular Biology 2.3k
- Developmental Neuroscience 86
- Cellular and Molecular Neuroscience 308
- Geriatrics and Gerontology 66
Countries citing papers authored by Fei Yi
This map shows the geographic impact of Fei Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Yi more than expected).
Fields of papers citing papers by Fei Yi
This network shows the impact of papers produced by Fei Yi. 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 Yi. The network helps show where Fei Yi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fei Yi, 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 | 2024 | 22 | |
| 3 | 2021 | 49 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 33 | |
| 9 | 2019 | 13 | |
| 10 | 2017 | 94 | |
| 11 | 2016 | 221 | |
| 12 | 2015 | 156 | |
| 13 | 2013 | 79 | |
| 14 | 2013 | 311 | |
| 15 | 2012 | 20 | |
| 16 | 2012 | 30 | |
| 17 | 2011 | 170 | |
| 18 | 2009 | 5 | |
| 19 | 1996 | 20 | |
| 20 | 1993 | 33 |
About Fei Yi
Fei Yi is a scholar working on Geriatrics and Gerontology, Molecular Biology, Developmental Neuroscience, Cell Biology and Clinical Biochemistry, having authored 62 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (23 papers), CRISPR and Genetic Engineering (15 papers), Autophagy in Disease and Therapy (9 papers), Renal and related cancers (5 papers), RNA Research and Splicing (5 papers), DNA Repair Mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Sirtuins and Resveratrol in Medicine (4 papers). The work is most often cited by research in Aging (75 citations), Molecular Biology (2.3k citations), Developmental Neuroscience (86 citations), Cellular and Molecular Neuroscience (308 citations) and Geriatrics and Gerontology (66 citations). Fei Yi has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Bradley J. Merrill, Laura Pereira, Guang‐Hui Liu, Juan Carlos Izpisúa Belmonte, Xiuling Xu, Thomas C. Südhof, Marius Wernig, Shunlei Duan, Alejandro Ocampo and ChangHui Pak. Their work appears in journals such as Protein & Cell, International Journal of Biological Sciences, Cell Research, Journal of Biological Chemistry and Scientific Reports.
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.