Kit Lau
Impact in
- Genetics top 10%
- Inflammatory Bowel Disease
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
Papers in
-
- Peroxisome Proliferator-Activated Receptors 1
- Gene expression and cancer classification 1
- Genetics 2
- Animal Genetics and Reproduction 1
- Co-authors
- Ken A. Dill (1 shared paper)Nathaniel D. Mercaldo (2 shared papers)Xiao‐Hua Zhou (2 shared papers)Terry R. Stouch (1 shared paper)Howard Alper (1 shared paper)H. Sakul (2 shared papers)Alan Buckler (1 shared paper)Christopher G. Mathew (1 shared paper)
- Journals
- The Journal of Physical Chemistry (1 paper)The American Journal of Human Genetics (1 paper)Genomics (1 paper)Statistics in Medicine (1 paper)Annual reports in medicinal chemistry (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Kit Lau
10 papers receiving 1.5k citations
Kit Lau's Hit Papers
Peers
Comparison fields: 5 of 144
- Genetics 316
- Molecular Biology 727
- Condensed Matter Physics 90
- Materials Chemistry 354
- Gastroenterology 37
Countries citing papers authored by Kit Lau
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
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-authors
The 25 scholars most cited alongside Kit 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 | A lattice statistical mechanics model of the conformational and sequence spaces of proteins Hit paper breakdown → | 1989 | 785 |
| 2 | 1999 | 309 | |
| 3 | 2006 | 303 | |
| 4 | 1994 | 81 | |
| 5 | 2001 | 65 | |
| 6 | Learning Cases to Compliment Rules for Conflict Resolution in Multiagent Systems | 1996 | 16 |
| 7 | 2000 | 8 | |
| 8 | 2004 | 5 | |
| 9 | Confidence Intervals for Predictive Values Using Data from a Case Control Study | 2005 | 4 |
| 10 | 1986 | 3 |
About Kit Lau
Kit Lau is a scholar working on Molecular Biology, Genetics, Statistics and Probability, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (2 papers), Statistical Methods and Inference (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Liver Diseases and Immunity (1 paper), AI-based Problem Solving and Planning (1 paper), Gene expression and cancer classification (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Genetics (316 citations), Molecular Biology (727 citations), Condensed Matter Physics (90 citations), Materials Chemistry (354 citations) and Gastroenterology (37 citations). Kit Lau has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Ken A. Dill, Nathaniel D. Mercaldo, Xiao‐Hua Zhou, Terry R. Stouch, Howard Alper, H. Sakul, Alan Buckler, Christopher G. Mathew, Jeff Hall and Stephen Bridger. Their work appears in journals such as The Journal of Physical Chemistry, The American Journal of Human Genetics, Genomics, Statistics in Medicine and Annual reports in medicinal chemistry.
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.