Ryan Chau

812 citations
11 papers · 617 · h-index 10

Impact in

    • Microtubule and mitosis dynamics
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • Parkinson's Disease Mechanisms and Treatments 3
    • Cancer-related Molecular Pathways 4
    • Peptidase Inhibition and Analysis 2

Ryan Chau

11 papers receiving 598 citations

Peers

Ryan Chau
Comparison fields: 5 of 59
  • Cell Biology 105
  • Oncology 155
  • Molecular Biology 417
  • Organic Chemistry 115
  • Immunology 64
Replace Ezekiel A. Geffken with:
Ezekiel A. Geffken United States
Xunyi Luo United States
Tina Morgan Ross United States
Toshihiro Sakamoto Japan
Marieke B. A. C. Lamers United States
Louis Locco United States
C. Anne Higley United States
Ian B. Greenberg United States
Morgan Pellerano France
Debasish Paul India
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Citations per field
00.5×2×4×5.4×
Ezekiel A. Geffken · 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 2017181
2 2021141
3 201594
4 201144
5 200540
6 202133
7 201131
8 202221
9 201015
10 200611
11 20246

About Ryan Chau

Ryan Chau is a scholar working on Neurology, Oncology, Cell Biology, Computational Theory and Mathematics and Organic Chemistry, having authored 11 papers that have together received 617 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Computational Drug Discovery Methods (3 papers), Ubiquitin and proteasome pathways (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Melanoma and MAPK Pathways (2 papers), Microtubule and mitosis dynamics (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cell Biology (105 citations), Oncology (155 citations), Molecular Biology (417 citations), Organic Chemistry (115 citations) and Immunology (64 citations). Ryan Chau has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Stephen G. Stroud, Tricia J. Vos, Christopher F. Claiborne, Suresh K. Balani, Jessica J. Huck, Jeffrey Ecsedy, David A. Janowick, Deborah R. Wysong, Mengkun Zhang 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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