Ted Lau
Impact in
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- Ubiquitin and proteasome pathways
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- PARP inhibition in cancer therapy
- Cancer Cells and Metastasis
Papers in
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- Wnt/β-catenin signaling in development and cancer 4
- Cancer-related gene regulation 3
- Kruppel-like factors research 1
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- Cancer Research and Treatments 1
- Co-authors
- Mike Costa (4 shared papers)Marinella G. Callow (2 shared papers)Paul G. Polakis (2 shared papers)Amy Sambrone (2 shared papers)Jason W. Boggs (2 shared papers)Mark A. Merchant (2 shared papers)Dolores Diaz (2 shared papers)Melissa M. Schutten (2 shared papers)
- Journals
- Cancer Research (3 papers)Nature Chemical Biology (2 papers)Toxicologic Pathology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Ted Lau
7 papers receiving 972 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 811
- Oncology 231
- Cell Biology 121
- Cancer Research 74
- Physiology 17
Countries citing papers authored by Ted Lau
This map shows the geographic impact of Ted 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 Ted Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Lau more than expected).
Fields of papers citing papers by Ted Lau
This network shows the impact of papers produced by Ted 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 Ted Lau. The network helps show where Ted Lau may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted 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 | 2016 | 302 | |
| 2 | 2013 | 283 | |
| 3 | 2011 | 175 | |
| 4 | 2009 | 142 | |
| 5 | 2015 | 83 | |
| 6 | 2019 | 17 | |
| 7 | Establishment of a highly sensitive Taqman-based assay for non-invasively detecting biomarkers expressed in circulating tumor cells in human and mouse whole blood. | 2007 | 2 |
About Ted Lau
Ted Lau is a scholar working on Molecular Biology, Biotechnology, Genetics, Cancer Research and Rheumatology, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Cancer-related gene regulation (3 papers), Cancer Genomics and Diagnostics (1 paper), Cancer Research and Treatments (1 paper), Cancer Cells and Metastasis (1 paper), Kruppel-like factors research (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Molecular Biology (811 citations), Oncology (231 citations), Cell Biology (121 citations), Cancer Research (74 citations) and Physiology (17 citations). Ted Lau has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Mike Costa, Marinella G. Callow, Paul G. Polakis, Amy Sambrone, Jason W. Boggs, Mark A. Merchant, Dolores Diaz, Melissa M. Schutten, Sachdev S. Sidhu and B.A. Appleton. Their work appears in journals such as Cancer Research, Nature Chemical Biology, Toxicologic Pathology and PLoS ONE.
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.