Chan D. Chung
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Cell Function and Interaction
- Galectins and Cancer Biology
- T-cell and B-cell Immunology
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- interferon and immune responses 2
- Galectins and Cancer Biology 2
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Ke Shuai (2 shared papers)Jiayu Liao (2 shared papers)Bin Liu (2 shared papers)Philippe Berta (1 shared paper)Philippe Jay (1 shared paper)David Chang (1 shared paper)Steven A. Kushner (1 shared paper)Miriana Moran (3 shared papers)
- Journals
- The Journal of Immunology (4 papers)Nature Immunology (1 paper)Science (1 paper)Seminars in Immunology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Chan D. Chung
8 papers receiving 1.9k citations
Chan D. Chung's Hit Papers
Peers
Comparison fields: 5 of 83
- Immunology 945
- Oncology 1.0k
- Pharmacology 138
- Cancer Research 238
- Molecular Biology 1.1k
Countries citing papers authored by Chan D. Chung
This map shows the geographic impact of Chan D. Chung'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 Chan D. Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan D. Chung more than expected).
Fields of papers citing papers by Chan D. Chung
This network shows the impact of papers produced by Chan D. Chung. 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 Chan D. Chung. The network helps show where Chan D. Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan D. Chung, 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 | Specific Inhibition of Stat3 Signal Transduction by PIAS3 Hit paper breakdown → | 1997 | 813 |
| 2 | Inhibition of Stat1-mediated gene activation by PIAS1 Hit paper breakdown → | 1998 | 627 |
| 3 | 2000 | 171 | |
| 4 | 2003 | 134 | |
| 5 | 2001 | 94 | |
| 6 | 2003 | 79 | |
| 7 | 1997 | 48 | |
| 8 | 1997 | 19 |
About Chan D. Chung
Chan D. Chung is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pharmacology, having authored 8 papers that have together received 2.0k indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Galectins and Cancer Biology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Signaling Pathways in Disease (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Immunology (945 citations), Oncology (1.0k citations), Pharmacology (138 citations), Cancer Research (238 citations) and Molecular Biology (1.1k citations). Chan D. Chung has collaborated with scholars based in United States and France. Frequent co-authors include Ke Shuai, Jiayu Liao, Bin Liu, Philippe Berta, Philippe Jay, David Chang, Steven A. Kushner, Miriana Moran, Viresh P. Patel and M. Carrie Miceli. Their work appears in journals such as The Journal of Immunology, Nature Immunology, Science, Seminars in Immunology 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.