Wei-Chung Allen Lee
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Molecular Biology top 10%
- Biophysics top 0.2%
- Neurology top 2%
- Co-authors
- Elly NediviR. Clay ReidGreg HoodDavi D. BockMark L. AndermannSergey YurgensonEdward SoucyHyun Sook Kim
- Topics
- Neuroscience and Neuropharmacology Research (12 papers)Neural dynamics and brain function (10 papers)Neurobiology and Insect Physiology Research (6 papers)
- Partner nations
- United StatesTaiwanSwitzerland
In The Last Decade
Wei-Chung Allen Lee
46 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cellular and Molecular Neuroscience 1.6k
- Cognitive Neuroscience 1.1k
- Molecular Biology 753
- Biophysics 624
- Neurology 425
Countries citing papers authored by Wei-Chung Allen Lee
This map shows the geographic impact of Wei-Chung Allen Lee'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 Wei-Chung Allen Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Chung Allen Lee more than expected).
Fields of papers citing papers by Wei-Chung Allen Lee
This network shows the impact of papers produced by Wei-Chung Allen Lee. 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 Wei-Chung Allen Lee. The network helps show where Wei-Chung Allen Lee may publish in the future.
Co-authorship network of co-authors of Wei-Chung Allen Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Chung Allen Lee. A scholar is included among the top collaborators of Wei-Chung Allen Lee 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 Wei-Chung Allen Lee. Wei-Chung Allen Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 13 | |
| 6 | 31 | |
| 7 | 9 | |
| 8 | 24 | |
| 9 | 17 | |
| 10 | 16 | |
| 11 | 75 | |
| 12 | 117 | |
| 13 | 17 | |
| 14 | 88 | |
| 15 | 115 | |
| 16 | 54 | |
| 17 | 76 | |
| 18 | Network anatomy and in vivo physiology of visual cortical neuronsbreakdown → | 587 |
| 19 | Long-term, high-resolution imaging in the mouse neocortex through a chronic cranial windowbreakdown → | 760 |
| 20 | Potential synergistic anti-tumor effects between sorafenib and the MEK inhibitor CI1040 in hepatocellular carcinoma (HCC) | 1 |
About Wei-Chung Allen Lee
Wei-Chung Allen Lee is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Biophysics, having authored 48 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (10 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Structural Biology (253 citations), Biophysics (624 citations) and Cellular and Molecular Neuroscience (1.6k citations). Wei-Chung Allen Lee has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Elly Nedivi, R. Clay Reid, Greg Hood, Davi D. Bock, Mark L. Andermann, Sergey Yurgenson, Edward Soucy, Hyun Sook Kim, Aaron Kerlin and Arthur W. Wetzel. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.