Patrick Yau
Impact in
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- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Protein Structure and Dynamics
- Biophysics top 5%
Papers in
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- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- Protein Structure and Dynamics 2
- Cancer-related gene regulation 2
- Wnt/β-catenin signaling in development and cancer 2
- RNA modifications and cancer 2
- Ecology 2
- Bacteriophages and microbial interactions 2
- Co-authors
- Timothy S. Harvey (3 shared papers)Mitsuhiko Ikura (3 shared papers)Kit I. Tong (2 shared papers)Stefan Bagby (2 shared papers)Masatoshi Takeichi (2 shared papers)Michael Overduin (2 shared papers)Ya Yin (1 shared paper)C.H. Arrowsmith (1 shared paper)
- Journals
- Protein Engineering Design and Selection (1 paper)Nature Structural & Molecular Biology (1 paper)Journal of Biological Chemistry (1 paper)FEBS Letters (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Patrick Yau
9 papers receiving 797 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 629
- Biophysics 50
- Cell Biology 137
- Immunology and Allergy 46
- Oncology 185
Countries citing papers authored by Patrick Yau
This map shows the geographic impact of Patrick Yau'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 Patrick Yau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Yau more than expected).
Fields of papers citing papers by Patrick Yau
This network shows the impact of papers produced by Patrick Yau. 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 Patrick Yau. The network helps show where Patrick Yau may publish in the future.
Co-authors
The 23 scholars most cited alongside Patrick Yau, 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 | 1995 | 341 | |
| 2 | 1994 | 228 | |
| 3 | 2003 | 82 | |
| 4 | 1994 | 53 | |
| 5 | 2010 | 52 | |
| 6 | 1994 | 23 | |
| 7 | 1992 | 21 | |
| 8 | 2010 | 5 | |
| 9 | 1991 | 5 |
About Patrick Yau
Patrick Yau is a scholar working on Molecular Biology, Ecology, Materials Chemistry, Oncology and Genetics, having authored 9 papers that have together received 810 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA modifications and cancer (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Biology (629 citations), Biophysics (50 citations), Cell Biology (137 citations), Immunology and Allergy (46 citations) and Oncology (185 citations). Patrick Yau has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Timothy S. Harvey, Mitsuhiko Ikura, Kit I. Tong, Stefan Bagby, Masatoshi Takeichi, Michael Overduin, Ya Yin, C.H. Arrowsmith, David W. Litchfield and Weontae Lee. Their work appears in journals such as Protein Engineering Design and Selection, Nature Structural & Molecular Biology, Journal of Biological Chemistry, FEBS Letters and Methods in enzymology on CD-ROM/Methods in enzymology.
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.