C. P. Chan
Impact in
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- 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
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- Microtubule and mitosis dynamics
Papers in
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- Glycosylation and Glycoproteins Research 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Protein purification and stability 1
- Muscle Physiology and Disorders 1
- Co-authors
- E G Krebs (4 shared papers)James E. Weiel (1 shared paper)Natalie G. Ahn (1 shared paper)Edmond H. Fischer (1 shared paper)Daniel F. Bowen‐Pope (1 shared paper)Russell Ross (1 shared paper)L. J. Koong (1 shared paper)Jeremy S. Stern (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Journal of Biological Chemistry (2 papers)Annals of the New York Academy of Sciences (1 paper)International Microbiology (1 paper)
- Partner nations
- United StatesMalaysiaAustralia
In The Last Decade
C. P. Chan
8 papers receiving 465 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 383
- Cell Biology 81
- Aging 8
- Oncology 55
- Cancer Research 30
Countries citing papers authored by C. P. Chan
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 313 | |
| 2 | 1988 | 75 | |
| 3 | 1985 | 30 | |
| 4 | 1994 | 19 | |
| 5 | 1987 | 18 | |
| 6 | 1982 | 12 | |
| 7 | 1982 | 8 | |
| 8 | 2025 | 2 |
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 477 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Adipose Tissue and Metabolism (2 papers), Dye analysis and toxicity (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Protein purification and stability (1 paper), Enzyme Structure and Function (1 paper), Muscle Physiology and Disorders (1 paper) and Algal biology and biofuel production (1 paper). The work is most often cited by research in Molecular Biology (383 citations), Cell Biology (81 citations), Aging (8 citations), Oncology (55 citations) and Cancer Research (30 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, Jeremy S. Stern, Judith S. Stern and Theodora A. Bibila. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Journal of Physiology-Endocrinology and Metabolism, 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.