C. P. Chan

531 citations
8 papers · 475 · h-index 7

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Melanoma and MAPK Pathways
    • Metabolism, Diabetes, and Cancer
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Tyrosine Phosphatases
    • Viral Infectious Diseases and Gene Expression in Insects
    • Microtubule and mitosis dynamics

Papers in

C. P. Chan

7 papers receiving 463 citations

Peers

C. P. Chan
Comparison fields: 5 of 67
  • Molecular Biology 387
  • Cell Biology 81
  • Aging 8
  • Biochemistry 16
  • Cellular and Molecular Neuroscience 38
Replace Tadanori Sugimoto with:
Tadanori Sugimoto Japan
Terry A. Woodford United States
Alison L. Kearney Australia
Hirofumi Usui Japan
Mónica R. Calera Mexico
Gerardo Baquiran Canada
S M Lohmann Germany
Dalia Juzumiene United States
Rafael J. Rojas United States
Kumaran Shanmugasundaram United States
C. P. Chan relative to Tadanori Sugimoto Japan Tadanori Sugimoto's profile →
Citations per field
00.5×1.5×
Tadanori Sugimoto · 1×
Citations per year

Countries citing papers authored by C. P. Chan

Since Specialization
Citations

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

Fields of papers citing papers by C. P. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. P. Chan. 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 C. P. Chan. The network helps show where C. P. Chan may publish in the future.

Co-authors

The 20 scholars most cited alongside C. P. Chan, 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 C. P. Chan Line = papers co-authored together C. P. Chan links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1990313
2 198875
3 198530
4 199419
5 198718
6 198212
7 19828
8 20250

About C. P. Chan

C. P. Chan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Materials Chemistry and Organic Chemistry, having authored 8 papers that have together received 475 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Adipose Tissue and Metabolism (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Protein purification and stability (1 paper), Biochemical and Molecular Research (1 paper), Algal biology and biofuel production (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Nanoparticles: synthesis and applications (1 paper). The work is most often cited by research in Molecular Biology (387 citations), Cell Biology (81 citations), Aging (8 citations), Biochemistry (16 citations) and Cellular and Molecular Neuroscience (38 citations). C. P. Chan has collaborated with scholars based in United States, Malaysia and Australia. Frequent co-authors include E G Krebs, James E. Weiel, Natalie G. Ahn, Edmond H. Fischer, Daniel F. Bowen‐Pope, Russell Ross, L. J. Koong, Judith S. Stern, Jeremy S. Stern and Melvin Silberklang. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Annals of the New York Academy of Sciences and International Microbiology.

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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