Shun‐Fat Lau

878 citations
10 papers · 504 indexed · 1 hit paper · h-index 9
Topics
Neuroinflammation and Neurodegeneration Mechanisms (8 papers)Alzheimer's disease research and treatments (4 papers)Neurological Disease Mechanisms and Treatments (3 papers)

In The Last Decade

Shun‐Fat Lau

10 papers receiving 500 citations

Hit Papers

Single-nucleus transcriptome analysis reveals dysregulati...2020202620222024202050100150200250

Peers

Shun‐Fat Lau
Comparison fields: 5 of 67
  • Neurology 289
  • Molecular Biology 204
  • Physiology 204
  • Immunology 106
  • Biological Psychiatry 60
Replace Gabriel Chew with:
Gabriel Chew Singapore
Mariko Taga United States
Aine Ni Scannail United States
Monika Plescher Germany
Stephanie Ziegler‐Waldkirch Germany
Djuna von Maydell United States
Fading Chen United States
Macy E. Zardeneta United States
Wenfei Liu United Kingdom
Roshni Desai United Kingdom
Shun‐Fat Lau relative to Gabriel Chew Singapore Gabriel Chew's profile →
Citations per field
00.5×1.5×
Gabriel Chew · 1×
Citations per year

Countries citing papers authored by Shun‐Fat Lau

Since Specialization
Citations

This map shows the geographic impact of Shun‐Fat 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 Shun‐Fat Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun‐Fat Lau more than expected).

Fields of papers citing papers by Shun‐Fat Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun‐Fat 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 Shun‐Fat Lau. The network helps show where Shun‐Fat Lau may publish in the future.

Co-authorship network of co-authors of Shun‐Fat Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Fat Lau. A scholar is included among the top collaborators of Shun‐Fat 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 Shun‐Fat Lau. Shun‐Fat Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 35
2 13
3 10
4 11
5 34
6 15
7 23
8 80
9
Single-nucleus transcriptome analysis reveals dysregulation of angiogenic endothelial cells and neuroprotective glia in Alzheimer’s diseasebreakdown →
275
10 8

About Shun‐Fat Lau

Shun‐Fat Lau is a scholar working on Neurology, Biological Psychiatry and Developmental Neuroscience, having authored 10 papers that have together received 504 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (4 papers) and Neurological Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Neurology (289 citations), Biological Psychiatry (60 citations) and Developmental Neuroscience (44 citations). Shun‐Fat Lau has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Nancy Y. Ip, Amy K.Y. Fu, Han Cao, Wing‐Yu Fu, Congping Chen, Tom H. Cheung, Jianan Y. Qu, Wei Wu, Yi Qiao and Ouyang Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Neurochemistry.

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.

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