Dan Chen
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Transplantation top 10%
Papers in
-
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Xiong‐Zhi Wu (1 shared paper)Jonathan S. Bromberg (2 shared papers)Claudia Jakubzick (1 shared paper)Nan Zhang (1 shared paper)Jordi Ochando (1 shared paper)Girdhari Lal (1 shared paper)Xia Mao (1 shared paper)Rolf Jessberger (1 shared paper)
- Journals
- Scientific Reports (3 papers)Nature Communications (2 papers)Molecules (1 paper)International Journal of Pharmaceutics (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Chen
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Immunology 312
- Transplantation 37
- Biological Psychiatry 24
- Cancer Research 134
- Hepatology 69
Countries citing papers authored by Dan Chen
This map shows the geographic impact of Dan 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 Dan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Chen more than expected).
Fields of papers citing papers by Dan Chen
This network shows the impact of papers produced by Dan 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 Dan Chen. The network helps show where Dan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 350 | |
| 2 | 2007 | 183 | |
| 3 | 1997 | 84 | |
| 4 | 2020 | 63 | |
| 5 | 2013 | 60 | |
| 6 | 2017 | 45 | |
| 7 | 2019 | 40 | |
| 8 | 2018 | 35 | |
| 9 | 2015 | 32 | |
| 10 | 2010 | 31 | |
| 11 | 2015 | 30 | |
| 12 | 2015 | 27 | |
| 13 | 2023 | 20 | |
| 14 | 2019 | 17 | |
| 15 | 2019 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 1984 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2025 | 11 | |
| 20 | 2015 | 11 |
About Dan Chen
Dan Chen is a scholar working on Cancer Research, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Oncology and Epidemiology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune Cell Function and Interaction (3 papers), Pneumonia and Respiratory Infections (3 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (2 papers), Sleep and Wakefulness Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Immunology (312 citations), Transplantation (37 citations), Biological Psychiatry (24 citations), Cancer Research (134 citations) and Hepatology (69 citations). Dan Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiong‐Zhi Wu, Jonathan S. Bromberg, Claudia Jakubzick, Nan Zhang, Jordi Ochando, Girdhari Lal, Xia Mao, Rolf Jessberger, Yaozhong Ding and Na Yin. Their work appears in journals such as Scientific Reports, Nature Communications, Molecules, International Journal of Pharmaceutics and Cell Death and Disease.
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.