Christopher D. Chien
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
- Oncology 20
- CAR-T cell therapy research 15
-
- Viral Infectious Diseases and Gene Expression in Insects 5
- Co-authors
- Terry J. Fry (16 shared papers)Elad Jacoby (7 shared papers)Haiying Qin (10 shared papers)Yinmeng Yang (5 shared papers)James N. Kochenderfer (5 shared papers)Sang M. Nguyen (6 shared papers)M. Eric Kohler (2 shared papers)Stefan Müller (1 shared paper)
- Journals
- Blood (10 papers)Molecular Endocrinology (2 papers)Nature Communications (1 paper)Molecular Cell (1 paper)Experimental Hematology (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Christopher D. Chien
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Oncology 694
- Hematology 183
- Immunology 280
- Genetics 237
- Molecular Biology 410
Countries citing papers authored by Christopher D. Chien
This map shows the geographic impact of Christopher D. Chien'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 Christopher D. Chien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher D. Chien more than expected).
Fields of papers citing papers by Christopher D. Chien
This network shows the impact of papers produced by Christopher D. Chien. 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 Christopher D. Chien. The network helps show where Christopher D. Chien may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher D. Chien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 302 | |
| 2 | 2017 | 154 | |
| 3 | 2015 | 79 | |
| 4 | 2012 | 77 | |
| 5 | 2006 | 57 | |
| 6 | 2021 | 51 | |
| 7 | 2008 | 45 | |
| 8 | 2006 | 38 | |
| 9 | 2022 | 36 | |
| 10 | 2005 | 36 | |
| 11 | 2014 | 27 | |
| 12 | 2016 | 26 | |
| 13 | 2003 | 22 | |
| 14 | 2007 | 22 | |
| 15 | 2006 | 19 | |
| 16 | 2014 | 17 | |
| 17 | 2011 | 15 | |
| 18 | 2007 | 15 | |
| 19 | 2013 | 15 | |
| 20 | 2016 | 14 |
About Christopher D. Chien
Christopher D. Chien is a scholar working on Oncology, Molecular Biology, Immunology, Public Health, Environmental and Occupational Health and Hematology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Immunotherapy and Immune Responses (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Acute Myeloid Leukemia Research (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Oncology (694 citations), Hematology (183 citations), Immunology (280 citations), Genetics (237 citations) and Molecular Biology (410 citations). Christopher D. Chien has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Terry J. Fry, Elad Jacoby, Haiying Qin, Yinmeng Yang, James N. Kochenderfer, Sang M. Nguyen, M. Eric Kohler, Stefan Müller, Maria Laura Avantaggiati and Young Song. Their work appears in journals such as Blood, Molecular Endocrinology, Nature Communications, Molecular Cell and Experimental Hematology.
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.