Canhe Chen
Impact in
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Receptor Mechanisms and Signaling
- Cell death mechanisms and regulation
- PI3K/AKT/mTOR signaling in cancer
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
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- Protein Kinase Regulation and GTPase Signaling 5
- Receptor Mechanisms and Signaling 3
- Ubiquitin and proteasome pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
- Melanoma and MAPK Pathways 1
- Fungal and yeast genetics research 1
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- Microtubule and mitosis dynamics 2
- Co-authors
- Sheng‐Cai Lin (5 shared papers)Jiahuai Han (2 shared papers)Yong Jiang (1 shared paper)Wei Guo (1 shared paper)Julie A. Gegner (1 shared paper)Bin Zheng (1 shared paper)Kah Tong Seow (1 shared paper)Ke Guo (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)FEBS Letters (2 papers)iScience (1 paper)Journal of Cell Science (1 paper)Journal of Protein Chemistry (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Canhe Chen
9 papers receiving 981 citations
Canhe Chen's Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 804
- Cell Biology 160
- Cancer Research 114
- Immunology and Allergy 42
- Oncology 157
Countries citing papers authored by Canhe Chen
This map shows the geographic impact of Canhe Chen'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 Canhe Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Canhe Chen more than expected).
Fields of papers citing papers by Canhe Chen
This network shows the impact of papers produced by Canhe Chen. 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 Canhe Chen. The network helps show where Canhe Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Canhe Chen, 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 | Characterization of the Structure and Function of a New Mitogen-activated Protein Kinase (p38β) Hit paper breakdown → | 1996 | 650 |
| 2 | 1997 | 145 | |
| 3 | 1999 | 91 | |
| 4 | 1998 | 35 | |
| 5 | 2001 | 32 | |
| 6 | 1999 | 18 | |
| 7 | 2015 | 18 | |
| 8 | 1999 | 5 | |
| 9 | 2018 | 4 |
About Canhe Chen
Canhe Chen is a scholar working on Molecular Biology, Cell Biology, Pharmacology, Genetics and Computational Theory and Mathematics, having authored 9 papers that have together received 998 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Receptor Mechanisms and Signaling (3 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Melanoma and MAPK Pathways (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Molecular Biology (804 citations), Cell Biology (160 citations), Cancer Research (114 citations), Immunology and Allergy (42 citations) and Oncology (157 citations). Canhe Chen has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Sheng‐Cai Lin, Jiahuai Han, Yong Jiang, Wei Guo, Julie A. Gegner, Bin Zheng, Kah Tong Seow, Ke Guo, Lai Ping Yaw and Huashan Wang. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, iScience, Journal of Cell Science and Journal of Protein Chemistry.
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.