Sun Yung
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
Papers in
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- Pluripotent Stem Cells Research 8
- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 2
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- Biomedical Ethics and Regulation 2
- Co-authors
- Lyle Armstrong (7 shared papers)Majlinda Lako (7 shared papers)Miodrag Stojković (6 shared papers)Rebecca Stewart (2 shared papers)Jerome Evans (2 shared papers)Heiko Peters (1 shared paper)Ilka Wappler (1 shared paper)Louise Hyslop (1 shared paper)
- Journals
- Stem Cells (3 papers)Human Molecular Genetics (2 papers)Molecular Therapy — Methods & Clinical Development (1 paper)Journal of Dental Research (1 paper)Pflügers Archiv - European Journal of Physiology (1 paper)
- Partner nations
- United KingdomSpainSerbia
In The Last Decade
Sun Yung
11 papers receiving 911 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 616
- Cell Biology 116
- Developmental Neuroscience 27
- Genetics 69
- Radiology, Nuclear Medicine and Imaging 144
Countries citing papers authored by Sun Yung
This map shows the geographic impact of Sun Yung'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 Sun Yung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Yung more than expected).
Fields of papers citing papers by Sun Yung
This network shows the impact of papers produced by Sun Yung. 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 Sun Yung. The network helps show where Sun Yung may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Yung, 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 | 2006 | 310 | |
| 2 | 2008 | 214 | |
| 3 | 2007 | 161 | |
| 4 | 2015 | 50 | |
| 5 | 2012 | 44 | |
| 6 | 2013 | 38 | |
| 7 | 2009 | 33 | |
| 8 | 2001 | 28 | |
| 9 | 2011 | 15 | |
| 10 | 2018 | 14 | |
| 11 | 2015 | 13 |
About Sun Yung
Sun Yung is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Genetics and Developmental Neuroscience, having authored 11 papers that have together received 920 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), DNA Repair Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Biomedical Ethics and Regulation (2 papers), Advanced Optical Network Technologies (1 paper) and Optical Network Technologies (1 paper). The work is most often cited by research in Molecular Biology (616 citations), Cell Biology (116 citations), Developmental Neuroscience (27 citations), Genetics (69 citations) and Radiology, Nuclear Medicine and Imaging (144 citations). Sun Yung has collaborated with scholars based in United Kingdom, Spain and Serbia. Frequent co-authors include Lyle Armstrong, Majlinda Lako, Miodrag Stojković, Rebecca Stewart, Jerome Evans, Heiko Peters, Ilka Wappler, Louise Hyslop, Petra Stojković and Francisco C. Figueiredo. Their work appears in journals such as Stem Cells, Human Molecular Genetics, Molecular Therapy — Methods & Clinical Development, Journal of Dental Research and Pflügers Archiv - European Journal of Physiology.
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.