Xiaobin Dai
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Surfaces, Coatings and Films top 10%
Papers in
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- Pickering emulsions and particle stabilization 8
- Material Dynamics and Properties 5
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- Lipid Membrane Structure and Behavior 6
- Co-authors
- Li‐Tang Yan (32 shared papers)Ziyang Xu (8 shared papers)Guolong Zhu (9 shared papers)Xuanyu Zhang (12 shared papers)Lijuan Gao (11 shared papers)Ziyang Xu (5 shared papers)Yang Ye (3 shared papers)Pengyu Chen (4 shared papers)
- Journals
- Journal of the American Chemical Society (4 papers)Nature Communications (4 papers)ACS Nano (4 papers)Nano Letters (3 papers)Langmuir (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaobin Dai
34 papers receiving 612 citations
Peers
Comparison fields: 5 of 84
- Biomaterials 108
- Surfaces, Coatings and Films 55
- Molecular Medicine 36
- Polymers and Plastics 99
- Materials Chemistry 241
Countries citing papers authored by Xiaobin Dai
This map shows the geographic impact of Xiaobin 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 Xiaobin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Dai more than expected).
Fields of papers citing papers by Xiaobin Dai
This network shows the impact of papers produced by Xiaobin 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 Xiaobin Dai. The network helps show where Xiaobin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 92 | |
| 2 | 2022 | 57 | |
| 3 | 2021 | 49 | |
| 4 | 2018 | 48 | |
| 5 | 2023 | 42 | |
| 6 | 2020 | 33 | |
| 7 | 2021 | 33 | |
| 8 | 2022 | 29 | |
| 9 | 2019 | 26 | |
| 10 | 2022 | 19 | |
| 11 | 2021 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2018 | 14 | |
| 17 | 2024 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2021 | 9 |
About Xiaobin Dai
Xiaobin Dai is a scholar working on Materials Chemistry, Molecular Biology, Biomedical Engineering, Condensed Matter Physics and Biomaterials, having authored 35 papers that have together received 616 indexed citations. Recurring topics across this work include Pickering emulsions and particle stabilization (8 papers), Polymer Surface Interaction Studies (7 papers), Micro and Nano Robotics (7 papers), Lipid Membrane Structure and Behavior (6 papers), Material Dynamics and Properties (5 papers), Supramolecular Self-Assembly in Materials (5 papers), Nanopore and Nanochannel Transport Studies (4 papers) and Advanced Materials and Mechanics (3 papers). The work is most often cited by research in Biomaterials (108 citations), Surfaces, Coatings and Films (55 citations), Molecular Medicine (36 citations), Polymers and Plastics (99 citations) and Materials Chemistry (241 citations). Xiaobin Dai has collaborated with scholars based in China and United States. Frequent co-authors include Li‐Tang Yan, Ziyang Xu, Guolong Zhu, Xuanyu Zhang, Lijuan Gao, Ziyang Xu, Yang Ye, Pengyu Chen, Haixiao Wan and Yucheng Zhang. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, ACS Nano, Nano Letters and Langmuir.
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.