Dayang Chen
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Prenatal Screening and Diagnostics
Papers in
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- Circular RNAs in diseases 3
- Cancer-related gene regulation 2
- Genomics and Phylogenetic Studies 2
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Cancer Genomics and Diagnostics 1
- Co-authors
- Fangmei An (6 shared papers)Qiang Zhan (5 shared papers)Yang Jiao (2 shared papers)Min Xia (3 shared papers)Junli Ding (3 shared papers)Fang Wu (1 shared paper)Xiuming Zhang (10 shared papers)Dan Xiong (8 shared papers)
- Journals
- Journal of Clinical Laboratory Analysis (3 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)PeerJ (1 paper)Journal of Neuro-Oncology (1 paper)
- Partner nations
- ChinaUnited KingdomDenmark
In The Last Decade
Dayang Chen
25 papers receiving 277 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 118
- Pediatrics, Perinatology and Child Health 60
- Molecular Biology 133
- Genetics 31
- Infectious Diseases 19
Countries citing papers authored by Dayang Chen
This map shows the geographic impact of Dayang Chen'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 Dayang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayang Chen more than expected).
Fields of papers citing papers by Dayang Chen
This network shows the impact of papers produced by Dayang Chen. 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 Dayang Chen. The network helps show where Dayang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dayang Chen, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 57 | |
| 2 | 2016 | 40 | |
| 3 | 2016 | 35 | |
| 4 | 2015 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2016 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 3 |
About Dayang Chen
Dayang Chen is a scholar working on Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health, Oncology and Genetics, having authored 26 papers that have together received 285 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Prenatal Screening and Diagnostics (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer-related gene regulation (2 papers), Genomics and Phylogenetic Studies (2 papers), Head and Neck Cancer Studies (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (118 citations), Pediatrics, Perinatology and Child Health (60 citations), Molecular Biology (133 citations), Genetics (31 citations) and Infectious Diseases (19 citations). Dayang Chen has collaborated with scholars based in China, United Kingdom and Denmark. Frequent co-authors include Fangmei An, Qiang Zhan, Yang Jiao, Min Xia, Junli Ding, Fang Wu, Xiuming Zhang, Dan Xiong, Ya Gao and Guangxia Chen. Their work appears in journals such as Journal of Clinical Laboratory Analysis, PLoS ONE, Scientific Reports, PeerJ and Journal of Neuro-Oncology.
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.