Peng Dai
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Advanced biosensing and bioanalysis techniques 9
- RNA regulation and disease 4
-
- Biosensors and Analytical Detection 6
- Microfluidic and Capillary Electrophoresis Applications 4
- Co-authors
- Mo‐Fang Liu (8 shared papers)Xiang‐Dong Fu (4 shared papers)Jun-Yan Kang (4 shared papers)Lan‐Tao Gou (5 shared papers)Yuanchao Xue (2 shared papers)Xin Wang (4 shared papers)Shuang Zhao (3 shared papers)Yu Zhou (2 shared papers)
- Journals
- Microchemical Journal (4 papers)Cell Research (2 papers)Cell (2 papers)Chemical Engineering Journal (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Peng Dai
55 papers receiving 1.7k citations
Peng Dai's Hit Papers
Peers
Comparison fields: 5 of 122
- Reproductive Medicine 161
- Cancer Research 263
- Biological Psychiatry 40
- Molecular Biology 1.0k
- Plant Science 537
Countries citing papers authored by Peng Dai
This map shows the geographic impact of Peng 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 Peng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Dai more than expected).
Fields of papers citing papers by Peng Dai
This network shows the impact of papers produced by Peng 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 Peng Dai. The network helps show where Peng Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 326 | |
| 2 | 2015 | 241 | |
| 3 | 2017 | 200 | |
| 4 | Stalling oxygen evolution in high-voltage cathodes by lanthurization Hit paper breakdown → | 2023 | 184 |
| 5 | 2019 | 145 | |
| 6 | 2012 | 51 | |
| 7 | 2019 | 46 | |
| 8 | 2014 | 45 | |
| 9 | 2008 | 43 | |
| 10 | 2016 | 29 | |
| 11 | 2016 | 28 | |
| 12 | 2011 | 28 | |
| 13 | 2020 | 25 | |
| 14 | 2014 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2014 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2016 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2023 | 14 |
About Peng Dai
Peng Dai is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), Biosensors and Analytical Detection (6 papers), Chromosomal and Genetic Variations (6 papers), RNA regulation and disease (4 papers), MicroRNA in disease regulation (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Ferroelectric and Piezoelectric Materials (4 papers) and Photonic and Optical Devices (3 papers). The work is most often cited by research in Reproductive Medicine (161 citations), Cancer Research (263 citations), Biological Psychiatry (40 citations), Molecular Biology (1.0k citations) and Plant Science (537 citations). Peng Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mo‐Fang Liu, Xiang‐Dong Fu, Jun-Yan Kang, Lan‐Tao Gou, Yuanchao Xue, Xin Wang, Shuang Zhao, Yu Zhou, Runsheng Chen and Jiajia Wang. Their work appears in journals such as Microchemical Journal, Cell Research, Cell, Chemical Engineering Journal and International Journal of Radiation Oncology*Biology*Physics.
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.