Patrick Yau

954 citations
9 papers · 812 indexed · h-index 7

Impact in

    • 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

    • RNA Research and Splicing 3
    • RNA modifications and cancer 2
    • Protein Structure and Dynamics 2
    • Epigenetics and DNA Methylation 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer-related gene regulation 2

Patrick Yau

9 papers receiving 797 citations

Peers

Patrick Yau
Comparison fields: 5 of 87
  • Molecular Biology 647
  • Biophysics 50
  • Cell Biology 138
  • Immunology and Allergy 47
  • Oncology 186
Replace Е. С. Корнилова with:
Е. С. Корнилова Russia
Edwin Li United States
Kristin H. Kain United States
Mark J. Demma United States
T David-Pfeuty France
T. TOYOKUNI United States
Carlos R. Reis United States
R.P.M. van Gijlswijk Netherlands
Mark Polinkovsky Australia
Erik Hofman Netherlands
Patrick Yau relative to Е. С. Корнилова Russia Е. С. Корнилова's profile →
Citations per field
00.5×1.5×2.1×
Е. С. Корнилова · 1×
Citations per year

Countries citing papers authored by Patrick Yau

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

9 of 9 papers shown
#Work
1 20105
2 201052
3 200382
4 1995343
5 199453
6 1994228
7 199423
8 199221
9 19915

About Patrick Yau

Patrick Yau is a scholar working on Biophysics, Molecular Biology, Ecology, Cancer Research and Materials Chemistry, having authored 9 papers that have together received 812 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers), Protein Structure and Dynamics (2 papers), Bacteriophages and microbial interactions (2 papers), Epigenetics and DNA Methylation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related gene regulation (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Molecular Biology (647 citations), Biophysics (50 citations), Cell Biology (138 citations), Immunology and Allergy (47 citations) and Oncology (186 citations). Patrick Yau has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Timothy S. Harvey, Mitsuhiko Ikura, Stefan Bagby, Michael Overduin, Masatoshi Takeichi, Kit I. Tong, Weontae Lee, David W. Litchfield, C.H. Arrowsmith and Ya Yin. Their work appears in journals such as Protein Engineering Design and Selection, Journal of Bacteriology, Science, FEBS Letters and Nature Structural & Molecular Biology.

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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