Amy Ku
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Chemokine receptors and signaling
Papers in
-
- Immune cells in cancer 3
- Immune Cell Function and Interaction 2
- Oncology 4
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Sharon S. Evans (5 shared papers)Daniel T. Fisher (5 shared papers)Jason B. Muhitch (4 shared papers)Joseph J. Skitzki (4 shared papers)Maryann Mikucki (2 shared papers)Junko Matsuzaki (1 shared paper)Thomas F. Gajewski (1 shared paper)Nicole Gaulin (1 shared paper)
- Journals
- International Journal of Hyperthermia (1 paper)Cancers (1 paper)Nature Communications (1 paper)Frontiers in Immunology (1 paper)PEDIATRICS (1 paper)
- Partner nations
- United States
In The Last Decade
Amy Ku
10 papers receiving 611 citations
Amy Ku's Hit Papers
Peers
Comparison fields: 5 of 74
- Immunology 394
- Oncology 359
- Emergency Medicine 27
- General Health Professions 46
- Neurology 15
Countries citing papers authored by Amy Ku
This map shows the geographic impact of Amy 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 Amy Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Ku more than expected).
Fields of papers citing papers by Amy Ku
This network shows the impact of papers produced by Amy 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 Amy Ku. The network helps show where Amy Ku may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy 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 | Non-redundant requirement for CXCR3 signalling during tumoricidal T-cell trafficking across tumour vascular checkpoints Hit paper breakdown → | 2015 | 380 |
| 2 | 2016 | 90 | |
| 3 | 2008 | 43 | |
| 4 | 2013 | 35 | |
| 5 | 2015 | 34 | |
| 6 | Measures of Pediatric Health Care Quality Based on Hospital Administrative Data: The Pediatric Quality Indicators | 2006 | 23 |
| 7 | 2022 | 6 | |
| 8 | Measures of Pediatric Health Care Quality Based on Hospital Administrative Data | 2006 | 5 |
| 9 | 2024 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2024 | 0 |
About Amy Ku
Amy Ku is a scholar working on Immunology, Oncology, General Health Professions, Economics and Econometrics and Infectious Diseases, having authored 11 papers that have together received 620 indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Patient Satisfaction in Healthcare (2 papers), Healthcare Policy and Management (2 papers), Immune Cell Function and Interaction (2 papers), Long-Term Effects of COVID-19 (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Immunology (394 citations), Oncology (359 citations), Emergency Medicine (27 citations), General Health Professions (46 citations) and Neurology (15 citations). Amy Ku has collaborated with scholars based in United States. Frequent co-authors include Sharon S. Evans, Daniel T. Fisher, Jason B. Muhitch, Joseph J. Skitzki, Maryann Mikucki, Junko Matsuzaki, Thomas F. Gajewski, Nicole Gaulin, Kunle Odunsi and John G. Frelinger. Their work appears in journals such as International Journal of Hyperthermia, Cancers, Nature Communications, Frontiers in Immunology and PEDIATRICS.
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.