Chi-Chao Chen
Impact in
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- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
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- Cancer-related Molecular Pathways
- Cancer Immunotherapy and Biomarkers
Papers in
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- Retinoids in leukemia and cellular processes 2
- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 1
- Ubiquitin and proteasome pathways 1
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- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 1
- Co-authors
- Scott W. Lowe (9 shared papers)Yu-Jui Ho (7 shared papers)Francisco J. Sánchez‐Rivera (3 shared papers)Myles Fennell (3 shared papers)Sha Tian (5 shared papers)Timour Baslan (2 shared papers)Elisa de Stanchina (2 shared papers)Judith Feucht (1 shared paper)
- Journals
- Blood (3 papers)Cancer Discovery (1 paper)SLAS DISCOVERY (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Chi-Chao Chen
11 papers receiving 508 citations
Peers
Comparison fields: 5 of 65
- Immunology 115
- Oncology 137
- Hematology 58
- Cancer Research 63
- Aging 8
Countries citing papers authored by Chi-Chao Chen
This map shows the geographic impact of Chi-Chao 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 Chi-Chao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Chao Chen more than expected).
Fields of papers citing papers by Chi-Chao Chen
This network shows the impact of papers produced by Chi-Chao 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 Chi-Chao Chen. The network helps show where Chi-Chao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi-Chao 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 | 2018 | 286 | |
| 2 | 2019 | 60 | |
| 3 | 2020 | 59 | |
| 4 | 2015 | 32 | |
| 5 | 2015 | 24 | |
| 6 | 2014 | 18 | |
| 7 | 2023 | 16 | |
| 8 | 2025 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 2 | |
| 11 | 2018 | 1 |
About Chi-Chao Chen
Chi-Chao Chen is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Immunology, having authored 11 papers that have together received 515 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Cancer-related Molecular Pathways (3 papers), Retinoids in leukemia and cellular processes (2 papers), CRISPR and Genetic Engineering (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Immunology (115 citations), Oncology (137 citations), Hematology (58 citations), Cancer Research (63 citations) and Aging (8 citations). Chi-Chao Chen has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Scott W. Lowe, Yu-Jui Ho, Francisco J. Sánchez‐Rivera, Myles Fennell, Sha Tian, Timour Baslan, Elisa de Stanchina, Judith Feucht, Charles M. Rudin and John T. Poirier. Their work appears in journals such as Blood, Cancer Discovery, SLAS DISCOVERY, Science 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.