Pak-Ming Lau
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
-
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
-
- Advanced Fluorescence Microscopy Techniques 6
- Co-authors
- Guo‐Qiang BiJichuan ZhangChang-Lu TaoRobert S. ZuckerDavid BentleyYun-Tao LiuLei QiZ. Hong Zhou
- Journals
- Molecular Brain (5 papers)Journal of Neuroscience (2 papers)National Science Review (2 papers)Cell Discovery (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Pak-Ming Lau
30 papers receiving 840 citations
Peers
Comparison fields: 5 of 90
- Structural Biology 73
- Cellular and Molecular Neuroscience 515
- Cognitive Neuroscience 324
- Biophysics 87
- Developmental Neuroscience 33
Countries citing papers authored by Pak-Ming Lau
This map shows the geographic impact of Pak-Ming Lau'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 Pak-Ming Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pak-Ming Lau more than expected).
Fields of papers citing papers by Pak-Ming Lau
This network shows the impact of papers produced by Pak-Ming Lau. 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 Pak-Ming Lau. The network helps show where Pak-Ming Lau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pak-Ming Lau, 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 | 2023 | 5 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 67 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 52 | |
| 12 | 2019 | 26 | |
| 13 | 2018 | 118 | |
| 14 | 2018 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 18 | |
| 17 | 2007 | 38 | |
| 18 | 2007 | 29 | |
| 19 | 2005 | 5 | |
| 20 | 1999 | 1 |
About Pak-Ming Lau
Pak-Ming Lau is a scholar working on Structural Biology, Biophysics, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Cell Biology, having authored 31 papers that have together received 848 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neural dynamics and brain function (8 papers), Photoreceptor and optogenetics research (7 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Neuroscience and Neural Engineering (6 papers), Lipid Membrane Structure and Behavior (5 papers), Cellular transport and secretion (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Structural Biology (73 citations), Cellular and Molecular Neuroscience (515 citations), Cognitive Neuroscience (324 citations), Biophysics (87 citations) and Developmental Neuroscience (33 citations). Pak-Ming Lau has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Guo‐Qiang Bi, Jichuan Zhang, Chang-Lu Tao, Robert S. Zucker, David Bentley, Yun-Tao Liu, Lei Qi, Z. Hong Zhou, Rong Sun and Richard C. Gerkin. Their work appears in journals such as Molecular Brain, Journal of Neuroscience, National Science Review, Cell Discovery 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.