Ka Chen
Impact in
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Aldose Reductase and Taurine
- Hippo pathway signaling and YAP/TAZ
- Caveolin-1 and cellular processes
Papers in
-
- Cell Adhesion Molecules Research 21
- Cell Biology 21
- Cellular Mechanics and Interactions 10
- Aldose Reductase and Taurine 7
- Co-authors
- Chuanyue Wu (21 shared papers)Yizeng Tu (12 shared papers)Xiaohua Shi (3 shared papers)Yongjun Zhang (6 shared papers)Mantian Mi (19 shared papers)Qianyong Zhang (15 shared papers)Jun Qin (5 shared papers)Jundong Zhu (14 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Neurochemical Research (4 papers)Laboratory Investigation (2 papers)Molecular Carcinogenesis (2 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Ka Chen
55 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 117
- Immunology and Allergy 1.0k
- Cell Biology 985
- Geriatrics and Gerontology 106
- Molecular Biology 1.5k
- Cancer Research 254
Countries citing papers authored by Ka Chen
This map shows the geographic impact of Ka 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 Ka Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka Chen more than expected).
Fields of papers citing papers by Ka Chen
This network shows the impact of papers produced by Ka 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 Ka Chen. The network helps show where Ka Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ka 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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 317 | |
| 2 | 2003 | 181 | |
| 3 | 2002 | 167 | |
| 4 | 2009 | 152 | |
| 5 | 2007 | 149 | |
| 6 | 2013 | 146 | |
| 7 | 2019 | 145 | |
| 8 | 2009 | 120 | |
| 9 | 2005 | 111 | |
| 10 | 2019 | 110 | |
| 11 | 2015 | 101 | |
| 12 | 2002 | 101 | |
| 13 | 2002 | 96 | |
| 14 | 2015 | 86 | |
| 15 | 2004 | 84 | |
| 16 | 2007 | 69 | |
| 17 | 2019 | 68 | |
| 18 | 2007 | 68 | |
| 19 | 2010 | 63 | |
| 20 | 2018 | 57 |
About Ka Chen
Ka Chen is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Physiology and Complementary and alternative medicine, having authored 57 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (21 papers), Cellular Mechanics and Interactions (10 papers), Signaling Pathways in Disease (7 papers), Aldose Reductase and Taurine (7 papers), Biochemical effects in animals (5 papers), Prenatal Substance Exposure Effects (5 papers), Medicinal plant effects and applications (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Immunology and Allergy (1.0k citations), Cell Biology (985 citations), Geriatrics and Gerontology (106 citations), Molecular Biology (1.5k citations) and Cancer Research (254 citations). Ka Chen has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Chuanyue Wu, Yizeng Tu, Xiaohua Shi, Yongjun Zhang, Mantian Mi, Qianyong Zhang, Jun Qin, Jundong Zhu, Shan Wu and Tomohiko Fukuda. Their work appears in journals such as Journal of Biological Chemistry, Neurochemical Research, Laboratory Investigation, Molecular Carcinogenesis and BMC Cancer.
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.