Chee-Kwee Ea
Impact in
- Immunology top 0.5%
- interferon and immune responses
- Immune Response and Inflammation
- Cancer Research top 1%
- NF-κB Signaling Pathways
Papers in
-
- NF-κB Signaling Pathways 8
-
- Circular RNAs in diseases 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Zhijian J. Chen (6 shared papers)Lijun Sun (4 shared papers)Rashu B. Seth (2 shared papers)Li Deng (3 shared papers)Gabriel Pineda (2 shared papers)David Baltimore (3 shared papers)Yu‐Hsin Chiu (1 shared paper)Atsuhiro Kanayama (1 shared paper)
- Journals
- Scientific Reports (4 papers)Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)Biochemical Pharmacology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesMalaysiaTaiwan
In The Last Decade
Chee-Kwee Ea
16 papers receiving 6.0k citations
Chee-Kwee Ea's Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 2.0k
- Cancer Research 996
- Molecular Biology 1.1k
- Hepatology 100
- Epidemiology 181
Countries citing papers authored by Chee-Kwee Ea
This map shows the geographic impact of Chee-Kwee Ea'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 Chee-Kwee Ea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee-Kwee Ea more than expected).
Fields of papers citing papers by Chee-Kwee Ea
This network shows the impact of papers produced by Chee-Kwee Ea. 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 Chee-Kwee Ea. The network helps show where Chee-Kwee Ea may publish in the future.
Co-authors
The 25 scholars most cited alongside Chee-Kwee Ea, 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 | Identification and Characterization of MAVS, a Mitochondrial Antiviral Signaling Protein that Activates NF-κB and IRF3 Hit paper breakdown → | 2005 | 2868 |
| 2 | 2006 | 861 | |
| 3 | 2004 | 749 | |
| 4 | 2004 | 601 | |
| 5 | 2012 | 254 | |
| 6 | 2009 | 194 | |
| 7 | 2016 | 139 | |
| 8 | 2002 | 122 | |
| 9 | 2004 | 116 | |
| 10 | 2007 | 52 | |
| 11 | 2012 | 34 | |
| 12 | 2017 | 33 | |
| 13 | 2016 | 24 | |
| 14 | 2017 | 17 | |
| 15 | 2014 | 14 | |
| 16 | 2015 | 4 |
About Chee-Kwee Ea
Chee-Kwee Ea is a scholar working on Cancer Research, Molecular Biology, Immunology, Epidemiology and Nuclear Energy and Engineering, having authored 16 papers that have together received 6.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), Circular RNAs in diseases (2 papers), Ubiquitin and proteasome pathways (1 paper), Influenza Virus Research Studies (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (2.0k citations), Cancer Research (996 citations), Molecular Biology (1.1k citations), Hepatology (100 citations) and Epidemiology (181 citations). Chee-Kwee Ea has collaborated with scholars based in United States, Malaysia and Taiwan. Frequent co-authors include Zhijian J. Chen, Lijun Sun, Rashu B. Seth, Li Deng, Gabriel Pineda, David Baltimore, Yu‐Hsin Chiu, Atsuhiro Kanayama, Mei Hong and Abdullah A. Shaito. Their work appears in journals such as Scientific Reports, Molecular Cell, Proceedings of the National Academy of Sciences, Biochemical Pharmacology and PLoS ONE.
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.