Ted Lau
Impact in
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
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- Cancer Cells and Metastasis
- PARP inhibition in cancer therapy
Papers in
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- Wnt/β-catenin signaling in development and cancer 4
- Epigenetics and DNA Methylation 1
- Ubiquitin and proteasome pathways 1
- Cancer-related gene regulation 1
- Genomics, phytochemicals, and oxidative stress 1
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- Cancer Genomics and Diagnostics 1
- Co-authors
- Mike Costa (5 shared papers)Marinella G. Callow (2 shared papers)Paul G. Polakis (2 shared papers)Amy Sambrone (2 shared papers)Dolores Diaz (2 shared papers)Jason W. Boggs (2 shared papers)Melissa M. Schutten (2 shared papers)Mark A. Merchant (2 shared papers)
- Journals
- Cancer Research (3 papers)Nature Chemical Biology (2 papers)Nature (1 paper)Toxicologic Pathology (1 paper)PLoS ONE (1 paper)
- Partner nations
- NorwayCzechiaUnited States
In The Last Decade
Ted Lau
7 papers receiving 995 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 751
- Oncology 164
- Physiology 11
- Cancer Research 32
- Cell Biology 26
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 | 304 | |
| 2 | 2013 | 283 | |
| 3 | 2011 | 176 | |
| 4 | 2009 | 142 | |
| 5 | 2015 | 86 | |
| 6 | 2019 | 18 | |
| 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 |
| 8 | 2026 | 0 |
About Ted Lau
Ted Lau is a scholar working on Molecular Biology, Cancer Research, Oncology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Epigenetics and DNA Methylation (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer-related gene regulation (1 paper), Cancer Cells and Metastasis (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Molecular Biology (751 citations), Oncology (164 citations), Physiology (11 citations), Cancer Research (32 citations) and Cell Biology (26 citations). Ted Lau has collaborated with scholars based in Norway, Czechia and United States. Frequent co-authors include Mike Costa, Marinella G. Callow, Paul G. Polakis, Amy Sambrone, Dolores Diaz, Jason W. Boggs, Melissa M. Schutten, Mark A. Merchant, Yingnan Zhang and Christian Wiesmann. Their work appears in journals such as Cancer Research, Nature Chemical Biology, Nature, 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.