Liang Dai
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Materials Chemistry
- Physical and Theoretical Chemistry top 2%
- Co-authors
- Patrick S. DoyleJohan R. C. van der MaarelCh. RennerYaoqi ZhouYuedong YangYuguang MuLars NordenskiöldSlaven Garaj
- Topics
- Nanopore and Nanochannel Transport Studies (17 papers)Force Microscopy Techniques and Applications (15 papers)DNA and Nucleic Acid Chemistry (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Liang Dai
68 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 865
- Biomedical Engineering 635
- Atomic and Molecular Physics, and Optics 346
- Materials Chemistry 310
- Physical and Theoretical Chemistry 192
Countries citing papers authored by Liang Dai
This map shows the geographic impact of Liang 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 Liang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Dai more than expected).
Fields of papers citing papers by Liang Dai
This network shows the impact of papers produced by Liang 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 Liang Dai. The network helps show where Liang Dai may publish in the future.
Co-authorship network of co-authors of Liang Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Dai. A scholar is included among the top collaborators of Liang Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang Dai. Liang Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 18 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 28 | |
| 16 | 7 | |
| 17 | 38 | |
| 18 | 100 | |
| 19 | 43 | |
| 20 | 11 |
About Liang Dai
Liang Dai is a scholar working on Physical and Theoretical Chemistry, Molecular Biology and Biomedical Engineering, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (17 papers), Force Microscopy Techniques and Applications (15 papers) and DNA and Nucleic Acid Chemistry (15 papers). The work is most often cited by research in Physical and Theoretical Chemistry (192 citations), Biomedical Engineering (635 citations) and Molecular Biology (865 citations). Liang Dai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Patrick S. Doyle, Johan R. C. van der Maarel, Ch. Renner, Yaoqi Zhou, Yuedong Yang, Yuguang Mu, Lars Nordenskiöld, Slaven Garaj, Hanqiao Feng and Bing‐Rui Zhou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.