Jian Dai
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Spectroscopy top 10%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Co-authors
- Huan‐Xiang ZhouMohammad AlwarawrahJuyang HuangLonnie P. WollmuthRashek KaziTimothy A. CrossIvan HungZhenhao Fan
- Topics
- Neuroscience and Neuropharmacology Research (9 papers)Lipid Membrane Structure and Behavior (7 papers)Ion channel regulation and function (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesChinaRussia
In The Last Decade
Jian Dai
23 papers receiving 785 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 577
- Cellular and Molecular Neuroscience 222
- Spectroscopy 104
- Materials Chemistry 100
- Atomic and Molecular Physics, and Optics 78
Countries citing papers authored by Jian Dai
This map shows the geographic impact of Jian 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 Jian Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Dai more than expected).
Fields of papers citing papers by Jian Dai
This network shows the impact of papers produced by Jian 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 Jian Dai. The network helps show where Jian Dai may publish in the future.
Co-authorship network of co-authors of Jian Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Dai. A scholar is included among the top collaborators of Jian 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 Jian Dai. Jian 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 | 16 | |
| 2 | Overview of high-entropy oxide ceramicsbreakdown → | 73 |
| 3 | 30 | |
| 4 | 17 | |
| 5 | 30 | |
| 6 | 21 | |
| 7 | 17 | |
| 8 | 30 | |
| 9 | 12 | |
| 10 | 44 | |
| 11 | 1 | |
| 12 | 29 | |
| 13 | 16 | |
| 14 | 81 | |
| 15 | 37 | |
| 16 | 15 | |
| 17 | 46 | |
| 18 | 42 | |
| 19 | 1 | |
| 20 | 160 |
About Jian Dai
Jian Dai is a scholar working on Cellular and Molecular Neuroscience, Filtration and Separation and Molecular Biology, having authored 23 papers that have together received 794 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Lipid Membrane Structure and Behavior (7 papers) and Ion channel regulation and function (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (222 citations), Molecular Biology (577 citations) and Physiology (38 citations). Jian Dai has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Huan‐Xiang Zhou, Mohammad Alwarawrah, Juyang Huang, Lonnie P. Wollmuth, Rashek Kazi, Timothy A. Cross, Ivan Hung, Zhenhao Fan, Junwen Zhong and Dawei Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.