Ethan Gerdts
Impact in
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Immunotherapy and Immune Responses
Papers in
- Oncology 7
- CAR-T cell therapy research 7
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- Advancements in Semiconductor Devices and Circuit Design 1
- Silicon Carbide Semiconductor Technologies 1
- Co-authors
- Stephen J. Forman (7 shared papers)Saul J. Priceman (7 shared papers)Xin Yang (2 shared papers)Christine E. Brown (6 shared papers)Junie Chea (1 shared paper)David Colcher (1 shared paper)Brenda Aguilar (3 shared papers)Wen-Chung Chang (6 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (3 papers)Molecular Therapy (1 paper)Journal of Nuclear Medicine (1 paper)OncoImmunology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United States
In The Last Decade
Ethan Gerdts
8 papers receiving 235 citations
Peers
Comparison fields: 5 of 29
- Oncology 192
- Immunology 79
- Radiology, Nuclear Medicine and Imaging 42
- Genetics 46
- Biomedical Engineering 72
Countries citing papers authored by Ethan Gerdts
This map shows the geographic impact of Ethan Gerdts'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 Ethan Gerdts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Gerdts more than expected).
Fields of papers citing papers by Ethan Gerdts
This network shows the impact of papers produced by Ethan Gerdts. 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 Ethan Gerdts. The network helps show where Ethan Gerdts may publish in the future.
Co-authors
The 25 scholars most cited alongside Ethan Gerdts, 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 | 2017 | 120 | |
| 2 | 2018 | 105 | |
| 3 | 2024 | 4 | |
| 4 | 2015 | 2 | |
| 5 | 2016 | 1 | |
| 6 | [Binovular twins in a uterus didelphys]. | 1967 | 1 |
| 7 | 2015 | 1 | |
| 8 | 2015 | 1 |
About Ethan Gerdts
Ethan Gerdts is a scholar working on Oncology, Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 235 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Nanowire Synthesis and Applications (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Advancements in Semiconductor Devices and Circuit Design (1 paper), Immunotherapy and Immune Responses (1 paper), Assisted Reproductive Technology and Twin Pregnancy (1 paper) and Silicon Carbide Semiconductor Technologies (1 paper). The work is most often cited by research in Oncology (192 citations), Immunology (79 citations), Radiology, Nuclear Medicine and Imaging (42 citations), Genetics (46 citations) and Biomedical Engineering (72 citations). Ethan Gerdts has collaborated with scholars based in United States. Frequent co-authors include Stephen J. Forman, Saul J. Priceman, Xin Yang, Christine E. Brown, Junie Chea, David Colcher, Brenda Aguilar, Wen-Chung Chang, Sarah Wright and Erasmus Poku. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Molecular Therapy, Journal of Nuclear Medicine, OncoImmunology and SHILAP Revista de lepidopterología.
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.