Yue Dai
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- Neuroscience and Neuropharmacology Research 13
- Neuroscience and Neural Engineering 11
- Neurobiology and Insect Physiology Research 4
- Endocrine and Autonomic Systems top 10%
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications 10
- Neurology top 10%
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- Ion channel regulation and function 17
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- Muscle activation and electromyography studies 10
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- Spinal Cord Injury Research 5
- Co-authors
- Larry M. JordanBrent FedirchukRobert M. BrownstoneGareth B. MilesDavid A. McCreaC. J. HeckmanP. F. GardinerKevin P. Carlin
- Journals
- Journal of Neuroscience (1 paper)The Journal of Physiology (8 papers)Journal of Neurophysiology (8 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yue Dai
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 485
- Endocrine and Autonomic Systems 99
- Cognitive Neuroscience 280
- Cell Biology 215
- Neurology 90
Countries citing papers authored by Yue Dai
This map shows the geographic impact of Yue 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 Yue Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Dai more than expected).
Fields of papers citing papers by Yue Dai
This network shows the impact of papers produced by Yue 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 Yue Dai. The network helps show where Yue Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yue 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 9 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 7 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 1 | |
| 12 | Roles of Cx43 and AKAP95 in ovarian cancer tissues in G1/S phase. | 2015 | 15 |
| 13 | 2011 | 36 | |
| 14 | 2009 | 33 | |
| 15 | 2008 | 22 | |
| 16 | 2006 | 82 | |
| 17 | 2005 | 154 | |
| 18 | 2004 | 23 | |
| 19 | 2002 | 50 | |
| 20 | 2001 | 95 |
About Yue Dai
Yue Dai is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (17 papers), Neuroscience and Neuropharmacology Research (13 papers), Neuroscience and Neural Engineering (11 papers), Zebrafish Biomedical Research Applications (10 papers), Muscle activation and electromyography studies (10 papers), Neural dynamics and brain function (6 papers), Spinal Cord Injury Research (5 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (485 citations), Endocrine and Autonomic Systems (99 citations) and Cognitive Neuroscience (280 citations). Yue Dai has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Larry M. Jordan, Brent Fedirchuk, Robert M. Brownstone, Gareth B. Miles, David A. McCrea, C. J. Heckman, P. F. Gardiner, Kevin P. Carlin, Sherry Krawitz and Urszula Sławińska. Their work appears in journals such as Journal of Neuroscience, The Journal of Physiology and Journal of Neurophysiology.
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.