George Ku
Impact in
- Immunology top 1%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- interferon and immune responses
- IL-33, ST2, and ILC Pathways
- Atherosclerosis and Cardiovascular Diseases
- Biochemistry top 2%
- Antioxidant Activity and Oxidative Stress
Papers in
-
- Antioxidant Activity and Oxidative Stress 5
- Immunology 14
- Immune Response and Inflammation 5
- Atherosclerosis and Cardiovascular Diseases 4
- Immune Cell Function and Interaction 3
- Co-authors
- Matthew W. HardingKeisuke KuidaDavid J. LivingstonRichard A. FlavellMichael SuJudith A. LippkeRichard L. JacksonCraig E. Thomas
- Journals
- The Journal of Immunology (5 papers)Science (3 papers)Journal of Lipid Research (2 papers)Blood (2 papers)Expert Opinion on Investigational Drugs (1 paper)
- Partner nations
- United StatesJapanPortugal
In The Last Decade
George Ku
30 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Immunology 2.0k
- Biochemistry 213
- Molecular Biology 2.4k
- Hematology 254
- Physiology 98
Countries citing papers authored by George Ku
This map shows the geographic impact of George Ku'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 George Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Ku more than expected).
Fields of papers citing papers by George Ku
This network shows the impact of papers produced by George Ku. 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 George Ku. The network helps show where George Ku may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Ku, 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 | 2008 | 66 | |
| 2 | 2007 | 250 | |
| 3 | 2006 | 141 | |
| 4 | 2003 | 15 | |
| 5 | 2000 | 89 | |
| 6 | 1999 | 91 | |
| 7 | 1997 | 71 | |
| 8 | 1997 | 192 | |
| 9 | 1996 | 90 | |
| 10 | Altered Cytokine Export and Apoptosis in Mice Deficient in Interleukin-1β Converting Enzyme Hit paper breakdown → | 1995 | 1405 |
| 11 | 1994 | 107 | |
| 12 | 1994 | 17 | |
| 13 | 1993 | 41 | |
| 14 | 1993 | 2 | |
| 15 | 1992 | 92 | |
| 16 | 1990 | 8 | |
| 17 | 1990 | 67 | |
| 18 | 1988 | 81 | |
| 19 | 1986 | 14 | |
| 20 | 1983 | 40 |
About George Ku
George Ku is a scholar working on Biochemistry, Immunology, Immunology and Allergy, Cancer Research and Physiology, having authored 30 papers that have together received 4.2k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (6 papers), Immune Response and Inflammation (5 papers), Antioxidant Activity and Oxidative Stress (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Immune Cell Function and Interaction (3 papers), Cholesterol and Lipid Metabolism (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Immunology (2.0k citations), Biochemistry (213 citations), Molecular Biology (2.4k citations), Hematology (254 citations) and Physiology (98 citations). George Ku has collaborated with scholars based in United States, Japan and Portugal. Frequent co-authors include Matthew W. Harding, Keisuke Kuida, David J. Livingston, Richard A. Flavell, Michael Su, Judith A. Lippke, Richard L. Jackson, Craig E. Thomas, Kazuya Higashino and Mark Fleming. Their work appears in journals such as The Journal of Immunology, Science, Journal of Lipid Research, Blood and Expert Opinion on Investigational Drugs.
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.