Kit Lau

2.6k citations
9 papers · 1.5k indexed · 1 hit paper · h-index 6
Topics
Statistical Methods and Inference (2 papers)Statistical Methods in Clinical Trials (2 papers)AI-based Problem Solving and Planning (1 paper)

In The Last Decade

Kit Lau

9 papers receiving 1.4k citations

Hit Papers

A lattice statistical mechanics model of the conformation...19892026200120131989200400600

Peers

Kit Lau
Comparison fields: 5 of 152
  • Molecular Biology 684
  • Materials Chemistry 336
  • Genetics 327
  • Surgery 186
  • Immunology 169
Replace Michael Engels with:
Michael Engels Germany
C. Herold Germany
Eiji Kojima Japan
Benjamin S. Schuster United States
Joaquím Roca Spain
Sung Jong Lee South Korea
Ulrich Hacker Germany
Satoshi Iida Japan
Jun Inoue Japan
Mamoru Yamashita Japan
Kit Lau relative to Michael Engels Germany Michael Engels's profile →
Citations per field
00.5×5.2×
Michael Engels · 1×
Citations per year

Countries citing papers authored by Kit Lau

Since Specialization
Citations

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

Fields of papers citing papers by Kit Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kit Lau

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 296
2
Confidence Intervals for Predictive Values Using Data from a Case Control Study
4
3 5
4 62
5 298
6
Learning Cases to Compliment Rules for Conflict Resolution in Multiagent Systems
14
7 77
8
A lattice statistical mechanics model of the conformational and sequence spaces of proteinsbreakdown →
711
9 2

About Kit Lau

Kit Lau is a scholar working on Statistics and Probability, Hepatology and Hematology, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (2 papers), Statistical Methods in Clinical Trials (2 papers) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Genetics (327 citations), Molecular Biology (684 citations) and Gastroenterology (44 citations). Kit Lau has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Ken A. Dill, Xiao‐Hua Zhou, Nathaniel D. Mercaldo, Terry R. Stouch, Howard Alper, H. Sakul, Stefan Schreiber, Andrew J. Macpherson, Sarah H. Shaw and Stephen Bridger. Their work appears in journals such as Macromolecules, The Journal of Physical Chemistry and The American Journal of Human Genetics.

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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