David Y. Chen
- Oncology top 5%
- CAR-T cell therapy research 7
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 8
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 5
- Hematology top 5%
- Acute Myeloid Leukemia Research 6
- Cell Biology top 10%
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- Virus-based gene therapy research 5
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- Renal cell carcinoma treatment 5
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- Advanced Radiotherapy Techniques 4
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- Immunotherapy and Immune Responses 4
- Co-authors
- Eric R. FearonKaren M. HajraShannon L. StroscheinKunxin LuoS. ZhouEric MartensWeiru WangQiang Zhou
- Journals
- Cancer Research (5 papers)Proceedings of the National Academy of Sciences (4 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
David Y. Chen
60 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Oncology 908
- Cancer Research 458
- Molecular Biology 1.8k
- Hematology 155
- Cell Biology 194
Countries citing papers authored by David Y. Chen
This map shows the geographic impact of David 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 David 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 David Y. Chen more than expected).
Fields of papers citing papers by David Y. Chen
This network shows the impact of papers produced by David 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 David Y. Chen. The network helps show where David Y. Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David 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 | 2025 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 3 | |
| 9 | T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanomabreakdown → | 2022 | 180 |
| 10 | 2022 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 8 | |
| 14 | 2016 | 3 | |
| 15 | 2013 | 13 | |
| 16 | 2013 | 8 | |
| 17 | 2011 | 35 | |
| 18 | 2011 | 2 | |
| 19 | 2010 | 29 | |
| 20 | 2003 | 20 |
About David Y. Chen
David Y. Chen is a scholar working on Cancer Research, Hematology, Radiation, Molecular Biology and Biotechnology, having authored 62 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), CAR-T cell therapy research (7 papers), Acute Myeloid Leukemia Research (6 papers), Virus-based gene therapy research (5 papers), Renal cell carcinoma treatment (5 papers), Epigenetics and DNA Methylation (5 papers), Advanced Radiotherapy Techniques (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Oncology (908 citations), Cancer Research (458 citations), Molecular Biology (1.8k citations), Hematology (155 citations) and Cell Biology (194 citations). David Y. Chen has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Eric R. Fearon, Karen M. Hajra, Shannon L. Stroschein, Kunxin Luo, S. Zhou, Eric Martens, Weiru Wang, Qiang Zhou, Jason D. Weber and Yijun Yi. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, International Journal of Radiation Oncology*Biology*Physics, Nature Communications and Urologic Oncology Seminars and Original Investigations.
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.