Kwok‐Fai Lau
- Molecular Biology top 2%
- Physiology top 2%
- Cell Biology top 1%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 2%
- Co-authors
- Christopher C.J. MillerDeclan M. McLoughlinChristopher E. ShawKurt J. De VosSteven AckerleyKen A. DillClaire L. StandenRadu Stoica
- Topics
- Alzheimer's disease research and treatments (32 papers)Wnt/β-catenin signaling in development and cancer (13 papers)Endoplasmic Reticulum Stress and Disease (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- Hong KongUnited KingdomUnited States
In The Last Decade
Kwok‐Fai Lau
86 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 2.6k
- Physiology 1.2k
- Cell Biology 959
- Cellular and Molecular Neuroscience 882
- Neurology 706
Countries citing papers authored by Kwok‐Fai Lau
This map shows the geographic impact of Kwok‐Fai 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 Kwok‐Fai Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwok‐Fai Lau more than expected).
Fields of papers citing papers by Kwok‐Fai Lau
This network shows the impact of papers produced by Kwok‐Fai 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 Kwok‐Fai Lau. The network helps show where Kwok‐Fai Lau may publish in the future.
Co-authorship network of co-authors of Kwok‐Fai Lau
This figure shows the co-authorship network connecting the top 25 collaborators of Kwok‐Fai Lau. A scholar is included among the top collaborators of Kwok‐Fai Lau 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 Kwok‐Fai Lau. Kwok‐Fai Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | FE65 serine-610 phosphorylation and its functional implications in Alzheimer disease amyloid precursor protein processing. | 2 |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 20 | |
| 11 | 17 | |
| 12 | 47 | |
| 13 | 112 | |
| 14 | VAPB interacts with the mitochondrial protein PTPIP51 to regulate calcium homeostasisbreakdown → | 454 |
| 15 | 2 | |
| 16 | 36 | |
| 17 | 11 | |
| 18 | 326 | |
| 19 | 50 | |
| 20 | 60 |
About Kwok‐Fai Lau
Kwok‐Fai Lau is a scholar working on Cell Biology, Physiology and Cellular and Molecular Neuroscience, having authored 91 papers that have together received 4.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (32 papers), Wnt/β-catenin signaling in development and cancer (13 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). The work is most often cited by research in Cell Biology (959 citations), Cellular and Molecular Neuroscience (882 citations) and Physiology (1.2k citations). Kwok‐Fai Lau has collaborated with scholars based in Hong Kong, United Kingdom and United States. Frequent co-authors include Christopher C.J. Miller, Declan M. McLoughlin, Christopher E. Shaw, Kurt J. De Vos, Steven Ackerley, Ken A. Dill, Claire L. Standen, Radu Stoica, Elizabeth L. Tudor and Ho Yin Edwin Chan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.