Ya Dai
Impact in
- Biotechnology top 10%
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Polysaccharides and Plant Cell Walls 4
- Enzyme-mediated dye degradation 4
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- Biofuel production and bioconversion 4
- Co-authors
- Qingliang Liu (7 shared papers)Chunhua Shi (7 shared papers)Yongshu Xie (6 shared papers)Fei Yang (3 shared papers)Changguo Wang (7 shared papers)Xiaolong Xu (5 shared papers)Shaomin Liu (2 shared papers)Yuchuan Huang (3 shared papers)
- Journals
- Cellulose (2 papers)Biomarkers (1 paper)Bioorganic Chemistry (1 paper)Plant Molecular Biology Reporter (1 paper)Carbohydrate Polymers (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ya Dai
31 papers receiving 627 citations
Peers
Comparison fields: 5 of 96
- Biotechnology 52
- Cancer Research 87
- Biochemistry 30
- Renewable Energy, Sustainability and the Environment 77
- Biomaterials 57
Countries citing papers authored by Ya Dai
This map shows the geographic impact of Ya Dai'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 Ya Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Dai more than expected).
Fields of papers citing papers by Ya Dai
This network shows the impact of papers produced by Ya Dai. 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 Ya Dai. The network helps show where Ya Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Dai, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 61 | |
| 2 | 2017 | 59 | |
| 3 | 2009 | 49 | |
| 4 | 2016 | 46 | |
| 5 | 2013 | 45 | |
| 6 | 2014 | 44 | |
| 7 | 2002 | 36 | |
| 8 | 2017 | 35 | |
| 9 | 2001 | 25 | |
| 10 | 2013 | 24 | |
| 11 | 2002 | 20 | |
| 12 | 2012 | 19 | |
| 13 | 2013 | 19 | |
| 14 | 2013 | 19 | |
| 15 | 2023 | 17 | |
| 16 | 2010 | 17 | |
| 17 | 2011 | 16 | |
| 18 | 2022 | 16 | |
| 19 | 2016 | 15 | |
| 20 | 2000 | 12 |
About Ya Dai
Ya Dai is a scholar working on Plant Science, Biomedical Engineering, Molecular Biology, Materials Chemistry and Biotechnology, having authored 31 papers that have together received 641 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (4 papers), Biochemical and biochemical processes (4 papers), Polysaccharides and Plant Cell Walls (4 papers), Enzyme-mediated dye degradation (4 papers), Biofuel production and bioconversion (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Biotechnology (52 citations), Cancer Research (87 citations), Biochemistry (30 citations), Renewable Energy, Sustainability and the Environment (77 citations) and Biomaterials (57 citations). Ya Dai has collaborated with scholars based in China and United States. Frequent co-authors include Qingliang Liu, Chunhua Shi, Yongshu Xie, Fei Yang, Changguo Wang, Xiaolong Xu, Shaomin Liu, Yuchuan Huang, Yanrong Lu and Kefu Chen. Their work appears in journals such as Cellulose, Biomarkers, Bioorganic Chemistry, Plant Molecular Biology Reporter and Carbohydrate Polymers.
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.