Yue Dai

1.4k total citations
55 papers, 1.1k citations indexed

About

Yue Dai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Yue Dai has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 26 papers in Cellular and Molecular Neuroscience and 11 papers in Biomedical Engineering. Recurrent topics in Yue Dai's work include Ion channel regulation and function (17 papers), Neuroscience and Neuropharmacology Research (13 papers) and Neuroscience and Neural Engineering (11 papers). Yue Dai is often cited by papers focused on Ion channel regulation and function (17 papers), Neuroscience and Neuropharmacology Research (13 papers) and Neuroscience and Neural Engineering (11 papers). Yue Dai collaborates with scholars based in China, Canada and United States. Yue Dai's 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 and has published in prestigious journals such as Journal of Neuroscience, The Journal of Physiology and Journal of Neurophysiology.

In The Last Decade

Yue Dai

51 papers receiving 1.1k citations

Peers

Yue Dai
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 485
  • Molecular Biology 472
  • Biomedical Engineering 280
  • Cognitive Neuroscience 280
  • Cell Biology 215
Replace Christopher A. Hinckley with:
Christopher A. Hinckley United States
Urszula Sławińska Poland
Rémi Bos France
Katharina A. Quinlan United States
Mario Buffelli Italy
Keith K. Fenrich Canada
Sandrine S. Bertrand France
Jianren Song China
Janez Zidar Slovenia
Miriam Gullo Switzerland
Christopher A. Hinckley United States View profile →
Citations per field, relative to Yue Dai
Yue Dai · 1×
Citations per year, relative to Yue Dai
Yue Dai · 1×

Countries citing papers authored by Yue Dai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Yue Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Dai. A scholar is included among the top collaborators of Yue 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 Yue Dai. Yue Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 1
6 1
7 9
8 1
9 7
10 4
11 1
12
Roles of Cx43 and AKAP95 in ovarian cancer tissues in G1/S phase.
15
13 36
14 33
15 22
16 82
17 154
18 23
19 50
20 95

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.

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