Yvonne Y. Chen
- Oncology top 1%
- CAR-T cell therapy research 32
- Immunology top 5%
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 5
- Genetics top 5%
- Virus-based gene therapy research 5
- Biomedical Engineering top 5%
- Nanowire Synthesis and Applications 10
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 13
- Viral Infectious Diseases and Gene Expression in Insects 5
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- Advancements in Semiconductor Devices and Circuit Design 8
- Co-authors
- Andrew J. HouMichael C. JensenJustin ClubbMihe HongChristina D. SmolkeEugenia ZahLaurence C. ChenMeng-Yin Lin
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- United StatesSouth Africa
In The Last Decade
Yvonne Y. Chen
38 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Oncology 2.1k
- Immunology 875
- Genetics 635
- Biomedical Engineering 905
- Molecular Biology 1.3k
Countries citing papers authored by Yvonne Y. Chen
This map shows the geographic impact of Yvonne Y. Chen'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 Yvonne Y. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvonne Y. Chen more than expected).
Fields of papers citing papers by Yvonne Y. Chen
This network shows the impact of papers produced by Yvonne Y. Chen. 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 Yvonne Y. Chen. The network helps show where Yvonne Y. Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yvonne Y. Chen, 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 | 2024 | 2 | |
| 3 | 2024 | 32 | |
| 4 | CAR-T cell manufacturing: Major process parameters and next-generation strategiesbreakdown → | 2024 | 114 |
| 5 | 2024 | 8 | |
| 6 | 2024 | 16 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 70 | |
| 9 | 2022 | 22 | |
| 10 | 2021 | 2 | |
| 11 | Navigating CAR-T cells through the solid-tumour microenvironmentbreakdown → | 2021 | 347 |
| 12 | 2020 | 148 | |
| 13 | 2020 | 21 | |
| 14 | Engineering CAR-T Cells for Next-Generation Cancer Therapybreakdown → | 2020 | 458 |
| 15 | 2019 | 10 | |
| 16 | 2019 | 5 | |
| 17 | 2018 | 199 | |
| 18 | 2018 | 86 | |
| 19 | 2017 | 18 | |
| 20 | T Cells Expressing CD19/CD20 Bispecific Chimeric Antigen Receptors Prevent Antigen Escape by Malignant B Cellsbreakdown → | 2016 | 462 |
About Yvonne Y. Chen
Yvonne Y. Chen is a scholar working on Oncology, Immunology and Biomedical Engineering, having authored 39 papers that have together received 3.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (32 papers), CRISPR and Genetic Engineering (13 papers), Nanowire Synthesis and Applications (10 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers), Immune Cell Function and Interaction (6 papers), Virus-based gene therapy research (5 papers), Immunotherapy and Immune Responses (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Oncology (2.1k citations), Immunology (875 citations) and Genetics (635 citations). Yvonne Y. Chen has collaborated with scholars based in United States and South Africa. Frequent co-authors include Andrew J. Hou, Michael C. Jensen, Justin Clubb, Mihe Hong, Christina D. Smolke, Eugenia Zah, Laurence C. Chen, Meng-Yin Lin, ZeNan Chang and Anne Silva-Benedict. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.