Wei-Chung Allen Lee
- Structural Biology top 0.5%
- Advanced Electron Microscopy Techniques and Applications 4
- Biophysics top 0.2%
- Cell Image Analysis Techniques 4
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- Neuroscience and Neuropharmacology Research 12
- Neurobiology and Insect Physiology Research 6
- Photoreceptor and optogenetics research 4
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 10
- Developmental Neuroscience top 2%
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- Insect and Arachnid Ecology and Behavior 4
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- Retinal Development and Disorders 4
- Co-authors
- Elly NediviR. Clay ReidGreg HoodDavi D. BockMark L. AndermannSergey YurgensonEdward SoucyHyun Sook Kim
- 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
- Structural Biology 253
- Biophysics 624
- Cellular and Molecular Neuroscience 1.6k
- Cognitive Neuroscience 1.1k
- Developmental Neuroscience 213
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
The 25 scholars most cited alongside Wei-Chung Allen Lee, 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 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 31 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 24 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 75 | |
| 12 | 2021 | 117 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 88 | |
| 15 | 2020 | 115 | |
| 16 | 2019 | 54 | |
| 17 | 2017 | 76 | |
| 18 | Network anatomy and in vivo physiology of visual cortical neuronsbreakdown → | 2011 | 587 |
| 19 | Long-term, high-resolution imaging in the mouse neocortex through a chronic cranial windowbreakdown → | 2009 | 760 |
| 20 | Potential synergistic anti-tumor effects between sorafenib and the MEK inhibitor CI1040 in hepatocellular carcinoma (HCC) | 2008 | 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), Neurobiology and Insect Physiology Research (6 papers), Photoreceptor and optogenetics research (4 papers), Cell Image Analysis Techniques (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Retinal Development and Disorders (4 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.
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.