Ya Dai
Impact in
- Biotechnology top 10%
-
- MicroRNA in disease regulation
Papers in
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- Polysaccharides and Plant Cell Walls 4
- Enzyme-mediated dye degradation 4
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- Biofuel production and bioconversion 4
- Thermochemical Biomass Conversion Processes 3
- Lignin and Wood Chemistry 3
- Co-authors
- Qingliang Liu (7 shared papers)Chunhua Shi (7 shared papers)Yongshu Xie (6 shared papers)Fei Yang (3 shared papers)Xiaolong Xu (5 shared papers)Changguo Wang (7 shared papers)Shaomin Liu (2 shared papers)Yanrong Lu (3 shared papers)
- Journals
- Cellulose (2 papers)Journal of Environmental Science and Health Part A (1 paper)Carbohydrate Polymers (1 paper)Protein Expression and Purification (1 paper)LWT (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ya Dai
31 papers receiving 636 citations
Peers
Comparison fields: 5 of 97
- Biotechnology 53
- Cancer Research 72
- Renewable Energy, Sustainability and the Environment 77
- Biomaterials 57
- Biochemistry 25
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 | 2017 | 61 | |
| 2 | 2008 | 61 | |
| 3 | 2009 | 49 | |
| 4 | 2016 | 48 | |
| 5 | 2013 | 46 | |
| 6 | 2014 | 44 | |
| 7 | 2002 | 36 | |
| 8 | 2017 | 35 | |
| 9 | 2001 | 26 | |
| 10 | 2013 | 25 | |
| 11 | 2002 | 20 | |
| 12 | 2013 | 19 | |
| 13 | 2023 | 19 | |
| 14 | 2013 | 19 | |
| 15 | 2012 | 19 | |
| 16 | 2010 | 17 | |
| 17 | 2011 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2022 | 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 649 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (4 papers), Polysaccharides and Plant Cell Walls (4 papers), Biochemical and biochemical processes (4 papers), Electrochemical sensors and biosensors (4 papers), Enzyme-mediated dye degradation (4 papers), Thermochemical Biomass Conversion Processes (3 papers), Advanced Cellulose Research Studies (3 papers) and Lignin and Wood Chemistry (3 papers). The work is most often cited by research in Biotechnology (53 citations), Cancer Research (72 citations), Renewable Energy, Sustainability and the Environment (77 citations), Biomaterials (57 citations) and Biochemistry (25 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, Xiaolong Xu, Changguo Wang, Shaomin Liu, Yanrong Lu, Yuchuan Huang and Yufeng Sun. Their work appears in journals such as Cellulose, Journal of Environmental Science and Health Part A, Carbohydrate Polymers, Protein Expression and Purification and LWT.
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.