Edmund K. Moon
- Oncology top 0.5%
- CAR-T cell therapy research 24
- Cancer Immunotherapy and Biomarkers 9
- Immunology top 1%
- Immunotherapy and Immune Responses 14
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 4
- Genetics top 1%
- Virus-based gene therapy research 9
- Biotechnology top 2%
- Cancer Research and Treatments 6
- Biomedical Engineering top 2%
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
- Co-authors
- Steven Μ. AlbeldaMarina C. MartinezKheng NewickShaun O’BrienCarl H. JuneVeena KapoorAlbert LoLiang‐Chuan S. Wang
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- United StatesSlovakiaBelgium
In The Last Decade
Edmund K. Moon
43 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Oncology 4.0k
- Immunology 2.0k
- Genetics 1.2k
- Biotechnology 268
- Biomedical Engineering 1.3k
Countries citing papers authored by Edmund K. Moon
This map shows the geographic impact of Edmund K. Moon'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 Edmund K. Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edmund K. Moon more than expected).
Fields of papers citing papers by Edmund K. Moon
This network shows the impact of papers produced by Edmund K. Moon. 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 Edmund K. Moon. The network helps show where Edmund K. Moon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edmund K. Moon, 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 | 2021 | 2 | |
| 2 | 2020 | 69 | |
| 3 | 2020 | 9 | |
| 4 | 2019 | 34 | |
| 5 | 2019 | 67 | |
| 6 | A Chimeric Switch-Receptor Targeting PD1 Augments the Efficacy of Second-Generation CAR T Cells in Advanced Solid Tumorsbreakdown → | 2016 | 420 |
| 7 | 2016 | 160 | |
| 8 | 2016 | 184 | |
| 9 | 2015 | 91 | |
| 10 | 2015 | 96 | |
| 11 | 2015 | 1 | |
| 12 | 2015 | 3 | |
| 13 | 2014 | 344 | |
| 14 | 2013 | 106 | |
| 15 | 2013 | 6 | |
| 16 | 2012 | 36 | |
| 17 | Expression of a Functional CCR2 Receptor Enhances Tumor Localization and Tumor Eradication by Retargeted Human T cells Expressing a Mesothelin-Specific Chimeric Antibody Receptorbreakdown → | 2011 | 447 |
| 18 | 2011 | 20 | |
| 19 | 2010 | 366 | |
| 20 | 2010 | 20 |
About Edmund K. Moon
Edmund K. Moon is a scholar working on Immunology, Oncology and Biotechnology, having authored 43 papers that have together received 4.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (24 papers), Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (13 papers), Virus-based gene therapy research (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Cancer Research and Treatments (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Oncology (4.0k citations), Immunology (2.0k citations) and Genetics (1.2k citations). Edmund K. Moon has collaborated with scholars based in United States, Slovakia and Belgium. Frequent co-authors include Steven Μ. Albelda, Marina C. Martinez, Kheng Newick, Shaun O’Brien, Carl H. June, Veena Kapoor, Albert Lo, Liang‐Chuan S. Wang, Jing Sun and Yangbing Zhao. Their work appears in journals such as OncoImmunology, Molecular Therapy, Cancer Research, Clinical Cancer Research and Cancer Immunology 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.