Christopher Chung
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
-
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 2
-
- Cutaneous lymphoproliferative disorders research 5
- Co-authors
- Kar Muthumani (10 shared papers)David B. Weiner (8 shared papers)Senthil G. Sundaram (4 shared papers)Dominick J. Laddy (4 shared papers)Ling Wu (3 shared papers)Niranjan Y. Sardesai (4 shared papers)Paluru Vijayachari (3 shared papers)Amir Sada Khan (2 shared papers)
- Journals
- Vaccine (1 paper)Neuroscience (1 paper)Journal of Cutaneous Pathology (1 paper)International Journal of Infectious Diseases (1 paper)Antibodies (1 paper)
- Partner nations
- United StatesIndiaPhilippines
In The Last Decade
Christopher Chung
15 papers receiving 427 citations
Peers
Comparison fields: 5 of 61
- Virology 83
- Infectious Diseases 174
- Sensory Systems 29
- Public Health, Environmental and Occupational Health 153
- Immunology 103
Countries citing papers authored by Christopher Chung
This map shows the geographic impact of Christopher 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 Christopher Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Chung more than expected).
Fields of papers citing papers by Christopher Chung
This network shows the impact of papers produced by Christopher 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 Christopher Chung. The network helps show where Christopher Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher 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 | 2008 | 138 | |
| 2 | 2008 | 70 | |
| 3 | 2016 | 70 | |
| 4 | 2008 | 32 | |
| 5 | 2018 | 31 | |
| 6 | 2009 | 30 | |
| 7 | 2023 | 21 | |
| 8 | 2021 | 12 | |
| 9 | 2008 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2021 | 0 |
About Christopher Chung
Christopher Chung is a scholar working on Immunology, Dermatology, Oncology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 18 papers that have together received 434 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (5 papers), Mosquito-borne diseases and control (4 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Virology (83 citations), Infectious Diseases (174 citations), Sensory Systems (29 citations), Public Health, Environmental and Occupational Health (153 citations) and Immunology (103 citations). Christopher Chung has collaborated with scholars based in United States, India and Philippines. Frequent co-authors include Kar Muthumani, David B. Weiner, Senthil G. Sundaram, Dominick J. Laddy, Ling Wu, Niranjan Y. Sardesai, Paluru Vijayachari, Amir Sada Khan, Devon J. Shedlock and Eric Yoshimitsu Sako. Their work appears in journals such as Vaccine, Neuroscience, Journal of Cutaneous Pathology, International Journal of Infectious Diseases and Antibodies.
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.