Dongshu Chen
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 13
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 3
- Oncology 10
- CAR-T cell therapy research 3
- Co-authors
- Donald KüfeMasahiro KashiwabaJianlin GongShigeo KoidoSurender KharbandaLei HuangDavid AviganDerek Liu
- Journals
- Blood (5 papers)Cancer Research (4 papers)The Journal of Immunology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Medicine (1 paper)
- Partner nations
- United StatesSingaporeSwitzerland
In The Last Decade
Dongshu Chen
22 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Immunology 1.7k
- Oncology 1.1k
- Molecular Biology 1.7k
- Hematology 176
- Radiology, Nuclear Medicine and Imaging 357
Countries citing papers authored by Dongshu Chen
This map shows the geographic impact of Dongshu 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 Dongshu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongshu Chen more than expected).
Fields of papers citing papers by Dongshu Chen
This network shows the impact of papers produced by Dongshu 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 Dongshu Chen. The network helps show where Dongshu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongshu 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 | 2015 | 43 | |
| 2 | 2015 | 4 | |
| 3 | 2012 | 6 | |
| 4 | 2008 | 21 | |
| 5 | 2007 | 124 | |
| 6 | 2005 | 199 | |
| 7 | 2004 | 31 | |
| 8 | 2004 | 282 | |
| 9 | 2003 | 58 | |
| 10 | 2003 | 161 | |
| 11 | 2002 | 61 | |
| 12 | 2002 | 100 | |
| 13 | 2000 | 151 | |
| 14 | 2000 | 184 | |
| 15 | 2000 | 173 | |
| 16 | 1999 | 47 | |
| 17 | 1998 | 17 | |
| 18 | 1998 | 214 | |
| 19 | 1998 | 60 | |
| 20 | Induction of antitumor activity by immunization with fusions of dendritic and carcinoma cells Hit paper breakdown → | 1997 | 505 |
About Dongshu Chen
Dongshu Chen is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cell Biology, having authored 22 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (5 papers), vaccines and immunoinformatics approaches (4 papers), T-cell and B-cell Immunology (4 papers), CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (1.1k citations), Molecular Biology (1.7k citations), Hematology (176 citations) and Radiology, Nuclear Medicine and Imaging (357 citations). Dongshu Chen has collaborated with scholars based in United States, Singapore and Switzerland. Frequent co-authors include Donald Küfe, Masahiro Kashiwaba, Jianlin Gong, Shigeo Koido, Surender Kharbanda, Lei Huang, David Avigan, Derek Liu, Zekui Wu and Yasuhiro Tanaka. Their work appears in journals such as Blood, Cancer Research, The Journal of Immunology, Proceedings of the National Academy of Sciences and Nature Medicine.
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.