Ryan Chau

784 citations
11 papers · 625 · h-index 10

Impact in

    • Microtubule and mitosis dynamics
    • Ubiquitin and proteasome pathways
    • Melanoma and MAPK Pathways
    • DNA Repair Mechanisms

Papers in

    • Parkinson's Disease Mechanisms and Treatments 3
    • Synthesis and biological activity 3
    • Quinazolinone synthesis and applications 1

Ryan Chau

11 papers receiving 596 citations

Peers

Ryan Chau
Comparison fields: 5 of 55
  • Cell Biology 62
  • Molecular Biology 281
  • Organic Chemistry 132
  • Computational Theory and Mathematics 47
  • Neurology 32
Replace Giovanni Cervi with:
Giovanni Cervi Italy
Simona Rizzi Italy
Nilesh Zaware United States
Robert Düster Germany
Timothy J. O’Neill United States
Basil Hartzoulakis United Kingdom
Paul M.C. Park United States
Subarna Shakya United States
Johannes Voshol Switzerland
Anthony Cormier United States
Ryan Chau relative to Giovanni Cervi Italy Giovanni Cervi's profile →
Citations per field
00.5×2×3×3.6×
Giovanni Cervi · 1×
Citations per year

Countries citing papers authored by Ryan Chau

Since Specialization
Citations

This map shows the geographic impact of Ryan Chau'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 Ryan Chau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Chau more than expected).

Fields of papers citing papers by Ryan Chau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Chau. 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 Ryan Chau. The network helps show where Ryan Chau may publish in the future.

Co-authors

The 22 scholars most cited alongside Ryan Chau, 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 Ryan Chau Line = papers co-authored together Ryan Chau links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2017183
2 2021143
3 201597
4 201144
5 200540
6 202133
7 201131
8 202221
9 201015
10 200610
11 20248

About Ryan Chau

Ryan Chau is a scholar working on Neurology, Organic Chemistry, Computational Theory and Mathematics, Cell Biology and Molecular Biology, having authored 11 papers that have together received 625 indexed citations. Recurring topics across this work include Synthesis and biological activity (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Computational Drug Discovery Methods (3 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Melanoma and MAPK Pathways (2 papers), Receptor Mechanisms and Signaling (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Cell Biology (62 citations), Molecular Biology (281 citations), Organic Chemistry (132 citations), Computational Theory and Mathematics (47 citations) and Neurology (32 citations). Ryan Chau has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Tricia J. Vos, Suresh K. Balani, Stephen G. Stroud, Christopher F. Claiborne, Todd B. Sells, Mark G Manfredi, David A. Janowick, Mengkun Zhang, Jeffrey Ecsedy and Gabriel S. Weatherhead. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Nature Chemical Biology, Current Organic Chemistry and ACS Medicinal Chemistry Letters.

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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