Le Dai
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
-
- Retinal Development and Disorders 3
- Ion channel regulation and function 2
-
- Cellular Mechanics and Interactions 2
- Co-authors
- Lisa A. Flanagan (3 shared papers)Janahan Arulmoli (3 shared papers)Medha M. Pathak (3 shared papers)Francesco Tombola (3 shared papers)Jamison L. Nourse (2 shared papers)Minsu Kim (4 shared papers)Bo Ryoung Park (2 shared papers)Sukanya Iyer (1 shared paper)
- Journals
- eLife (3 papers)Biophysical Journal (1 paper)Molecules and Cells (1 paper)Cell Reports (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Le Dai
16 papers receiving 770 citations
Le Dai's Hit Papers
Peers
Comparison fields: 5 of 98
- Cell Biology 229
- Physiology 286
- Molecular Medicine 54
- Molecular Biology 386
- Developmental Neuroscience 23
Countries citing papers authored by Le Dai
This map shows the geographic impact of Le 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 Le Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Dai more than expected).
Fields of papers citing papers by Le Dai
This network shows the impact of papers produced by Le 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 Le Dai. The network helps show where Le Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Le 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 | Stretch-activated ion channel Piezo1 directs lineage choice in human neural stem cells Hit paper breakdown → | 2014 | 469 |
| 2 | 2018 | 68 | |
| 3 | 2018 | 62 | |
| 4 | 2021 | 54 | |
| 5 | 2022 | 44 | |
| 6 | 2014 | 23 | |
| 7 | 2015 | 21 | |
| 8 | 2017 | 17 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 4 | |
| 11 | 2014 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 0 |
About Le Dai
Le Dai is a scholar working on Molecular Biology, Cell Biology, Genetics, Surgery and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 783 indexed citations. Recurring topics across this work include Retinal Development and Disorders (3 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Cellular Mechanics and Interactions (2 papers), Ion channel regulation and function (2 papers), Pancreatic function and diabetes (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cell Biology (229 citations), Physiology (286 citations), Molecular Medicine (54 citations), Molecular Biology (386 citations) and Developmental Neuroscience (23 citations). Le Dai has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lisa A. Flanagan, Janahan Arulmoli, Medha M. Pathak, Francesco Tombola, Jamison L. Nourse, Minsu Kim, Bo Ryoung Park, Sukanya Iyer, Teuta Piližota and Faris Sinjab. Their work appears in journals such as eLife, Biophysical Journal, Molecules and Cells, Cell Reports and Nature Microbiology.
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.