Fei Sang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
Papers in
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- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 3
- Fungal and yeast genetics research 2
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- Adipose Tissue and Metabolism 2
- Co-authors
- Zuhong Lu (4 shared papers)Doris Klisch (3 shared papers)Ramiro Alberio (4 shared papers)Matthew Loose (4 shared papers)Sarah Withey (2 shared papers)M. Azim Surani (2 shared papers)Walfred W. C. Tang (2 shared papers)Priscila Ramos‐Ibeas (2 shared papers)
- Journals
- Nature Communications (3 papers)PLoS ONE (2 papers)Cartilage (1 paper)Placenta (1 paper)Cell Reports (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Fei Sang
21 papers receiving 382 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 67
- Molecular Biology 282
- Public Health, Environmental and Occupational Health 50
- Aging 3
- Genetics 46
Countries citing papers authored by Fei Sang
This map shows the geographic impact of Fei Sang'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 Sang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Sang more than expected).
Fields of papers citing papers by Fei Sang
This network shows the impact of papers produced by Fei Sang. 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 Sang. The network helps show where Fei Sang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Sang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2021 | 36 | |
| 3 | 2007 | 36 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 28 | |
| 6 | 2007 | 25 | |
| 7 | 2009 | 25 | |
| 8 | 2016 | 24 | |
| 9 | 2018 | 17 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 11 | |
| 12 | 2018 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2010 | 3 | |
| 20 | 2024 | 1 |
About Fei Sang
Fei Sang is a scholar working on Molecular Biology, Physiology, Genetics, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 385 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Animal Genetics and Reproduction (3 papers), CRISPR and Genetic Engineering (3 papers), Fungal and yeast genetics research (2 papers), MicroRNA in disease regulation (2 papers), Birth, Development, and Health (2 papers), Pregnancy and preeclampsia studies (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Cancer Research (67 citations), Molecular Biology (282 citations), Public Health, Environmental and Occupational Health (50 citations), Aging (3 citations) and Genetics (46 citations). Fei Sang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Zuhong Lu, Doris Klisch, Ramiro Alberio, Matthew Loose, Sarah Withey, M. Azim Surani, Walfred W. C. Tang, Priscila Ramos‐Ibeas, Peng Jiang and Xiao Sun. Their work appears in journals such as Nature Communications, PLoS ONE, Cartilage, Placenta and Cell 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.