Sun Yang
Impact in
- Geriatrics and Gerontology top 5%
- Biochemistry top 10%
Papers in
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- DNA Repair Mechanisms 4
- RNA Interference and Gene Delivery 4
- Melanoma and MAPK Pathways 3
- Genomics, phytochemicals, and oxidative stress 3
-
- Synthesis and Catalytic Reactions 3
- Co-authors
- Frank L. Meyskens (15 shared papers)Archana J. McEligot (1 shared paper)Kaikobad Irani (1 shared paper)Frances Jurnak (1 shared paper)Susan Heffron (1 shared paper)Xing Luo (1 shared paper)Jean M. Prahl (1 shared paper)Craig V. Smith (1 shared paper)
- Journals
- Pharmaceutics (3 papers)Molecular Cancer Therapeutics (2 papers)Antioxidants and Redox Signaling (2 papers)Recent results in cancer research (2 papers)Journal of Clinical Medicine (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Sun Yang
36 papers receiving 934 citations
Peers
Comparison fields: 5 of 102
- Geriatrics and Gerontology 44
- Biochemistry 50
- Dermatology 55
- Pathology and Forensic Medicine 104
- Molecular Biology 405
Countries citing papers authored by Sun Yang
This map shows the geographic impact of Sun Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Yang more than expected).
Fields of papers citing papers by Sun Yang
This network shows the impact of papers produced by Sun Yang. 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 Yang. The network helps show where Sun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Yang, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 115 | |
| 2 | 1993 | 112 | |
| 3 | 2005 | 111 | |
| 4 | 2004 | 63 | |
| 5 | 2012 | 55 | |
| 6 | 2018 | 47 | |
| 7 | 2004 | 44 | |
| 8 | 2018 | 41 | |
| 9 | 2014 | 38 | |
| 10 | 2007 | 36 | |
| 11 | 2007 | 34 | |
| 12 | 2008 | 32 | |
| 13 | 2004 | 25 | |
| 14 | 2021 | 24 | |
| 15 | 2022 | 23 | |
| 16 | 2021 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 12 | |
| 20 | 2010 | 12 |
About Sun Yang
Sun Yang is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 944 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), RNA Interference and Gene Delivery (4 papers), Opioid Use Disorder Treatment (4 papers), Pediatric Pain Management Techniques (4 papers), melanin and skin pigmentation (3 papers), Melanoma and MAPK Pathways (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Synthesis and Catalytic Reactions (3 papers). The work is most often cited by research in Geriatrics and Gerontology (44 citations), Biochemistry (50 citations), Dermatology (55 citations), Pathology and Forensic Medicine (104 citations) and Molecular Biology (405 citations). Sun Yang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Frank L. Meyskens, Archana J. McEligot, Kaikobad Irani, Frances Jurnak, Susan Heffron, Xing Luo, Jean M. Prahl, Craig V. Smith, Hector F. DeLuca and Susan E. McNulty. Their work appears in journals such as Pharmaceutics, Molecular Cancer Therapeutics, Antioxidants and Redox Signaling, Recent results in cancer research and Journal of Clinical Medicine.
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.