Ted Lau

1.2k citations
5 papers · 641 · h-index 4

Impact in

    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • PARP inhibition in cancer therapy
    • Cancer Cells and Metastasis

Papers in

    • Wnt/β-catenin signaling in development and cancer 4
    • Cancer-related gene regulation 3
    • Ubiquitin and proteasome pathways 1
    • Kruppel-like factors research 1
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 1

Ted Lau

5 papers receiving 631 citations

Peers

Ted Lau
Comparison fields: 5 of 63
  • Molecular Biology 523
  • Oncology 166
  • Cell Biology 100
  • Physiology 18
  • Immunology 53
Replace Montserrat Jaumot with:
Montserrat Jaumot Spain
Helge Steen Germany
Barbara Criscuolo Waldman United States
Charles B Phillips United States
Emily J. Chenette United States
Monica Croke United States
Vittoria Zinzalla Italy
F. Hofmann Switzerland
Jacob John Germany
Robert Düster Germany
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Citations per field
00.5×
Montserrat Jaumot · 1×
Citations per year

Countries citing papers authored by Ted Lau

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ted Lau Line = papers co-authored together Ted Lau links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2013259
2 2011170
3 2009140
4 201570
5
Establishment of a highly sensitive Taqman-based assay for non-invasively detecting biomarkers expressed in circulating tumor cells in human and mouse whole blood.
20072

About Ted Lau

Ted Lau is a scholar working on Molecular Biology, Genetics, Oncology, Cell Biology and Biotechnology, having authored 5 papers that have together received 641 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Cancer-related gene regulation (3 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer Cells and Metastasis (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Molecular Biology (523 citations), Oncology (166 citations), Cell Biology (100 citations), Physiology (18 citations) and Immunology (53 citations). Ted Lau has collaborated with scholars based in United States, Norway and Czechia. Frequent co-authors include Mike Costa, Paul Polakis, Marinella Callow, B.A. Appleton, Sachdev S. Sidhu, Christian Wiesmann, Yingnan Zhang, Rami N. Hannoush, Mark Merchant and Jason Boggs. 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.

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