George Coukos
- Immunology top 0.02%
- Immunotherapy and Immune Responses 124
- Immune Cell Function and Interaction 69
- T-cell and B-cell Immunology 35
- Oncology top 0.02%
- Cancer Immunotherapy and Biomarkers 86
- CAR-T cell therapy research 77
- Cancer Research top 0.1%
- Reproductive Medicine top 0.2%
- Molecular Biology top 0.2%
- vaccines and immunoinformatics approaches 31
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- Virus-based gene therapy research 36
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- Monoclonal and Polyclonal Antibodies Research 32
- Co-authors
- Glenn DranoffIra MellmanLin ZhangPhyllis A. GimottyGregory T. MotzStephen C. RubinLana E. KandalaftFabián Benencia
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Cancer Research (19 papers)Annals of Oncology (17 papers)Journal of Clinical Oncology (15 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
George Coukos
389 papers receiving 35.0k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Immunology 17.1k
- Oncology 17.6k
- Cancer Research 5.4k
- Reproductive Medicine 2.1k
- Molecular Biology 13.0k
Countries citing papers authored by George Coukos
This map shows the geographic impact of George Coukos'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 Coukos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Coukos more than expected).
Fields of papers citing papers by George Coukos
This network shows the impact of papers produced by George Coukos. 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 Coukos. The network helps show where George Coukos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Coukos, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 24 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 5 | |
| 7 | 2018 | 35 | |
| 8 | 2016 | 29 | |
| 9 | 2015 | 48 | |
| 10 | 2014 | 86 | |
| 11 | 2013 | 227 | |
| 12 | 2013 | 232 | |
| 13 | 2013 | 41 | |
| 14 | 2013 | 181 | |
| 15 | 2013 | 32 | |
| 16 | 2011 | 44 | |
| 17 | 2011 | 237 | |
| 18 | 2010 | 139 | |
| 19 | 2007 | 56 | |
| 20 | 2006 | 109 |
About George Coukos
George Coukos is a scholar working on Immunology, Oncology, Reproductive Medicine, Immunology and Allergy and Cancer Research, having authored 396 papers that have together received 35.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (124 papers), Cancer Immunotherapy and Biomarkers (86 papers), CAR-T cell therapy research (77 papers), Immune Cell Function and Interaction (69 papers), Virus-based gene therapy research (36 papers), T-cell and B-cell Immunology (35 papers), Monoclonal and Polyclonal Antibodies Research (32 papers) and vaccines and immunoinformatics approaches (31 papers). The work is most often cited by research in Immunology (17.1k citations), Oncology (17.6k citations), Cancer Research (5.4k citations), Reproductive Medicine (2.1k citations) and Molecular Biology (13.0k citations). George Coukos has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Glenn Dranoff, Ira Mellman, Lin Zhang, Phyllis A. Gimotty, Gregory T. Motz, Stephen C. Rubin, Lana E. Kandalaft, Fabián Benencia, Dionyssios Katsaros and Andrea Facciabene. Their work appears in journals such as Cancer Research, Annals of Oncology, Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer and Clinical Cancer Research.
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.