Antony Chen
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
Papers in
-
- Hepatitis C virus research 6
-
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 4
- Immune cells in cancer 2
- T-cell and B-cell Immunology 1
- Co-authors
- Patrick T.F. Kennedy (4 shared papers)Mala K. Maini (4 shared papers)Upkar S. Gill (2 shared papers)Abhishek Das (2 shared papers)Antonio Bertoletti (3 shared papers)Geoffrey M Dusheiko (1 shared paper)Dimitra Peppa (1 shared paper)Gidon Ellis (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Vaccine (1 paper)AIDS (1 paper)Nature Medicine (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Antony Chen
14 papers receiving 712 citations
Peers
Comparison fields: 5 of 53
- Hepatology 268
- Immunology 342
- Epidemiology 375
- Virology 22
- Infectious Diseases 75
Countries citing papers authored by Antony Chen
This map shows the geographic impact of Antony 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 Antony Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antony Chen more than expected).
Fields of papers citing papers by Antony Chen
This network shows the impact of papers produced by Antony 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 Antony Chen. The network helps show where Antony Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Antony 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 | 2012 | 287 | |
| 2 | 2015 | 248 | |
| 3 | 2012 | 42 | |
| 4 | 2018 | 33 | |
| 5 | 2006 | 25 | |
| 6 | 2020 | 25 | |
| 7 | 2011 | 20 | |
| 8 | 2010 | 16 | |
| 9 | 2021 | 11 | |
| 10 | 2011 | 9 | |
| 11 | 2020 | 3 | |
| 12 | Genetic differences of E gene of a Thai strain of Japanese encephalitis virus that determine small plaque size phenotype but not neurovirulence in suckling mice. | 2008 | 1 |
| 13 | Cloning and expression of envelope protein of Thai genotype I strain KE-093 of Japanese encephalitis virus. | 2010 | 1 |
| 14 | 2022 | 1 |
About Antony Chen
Antony Chen is a scholar working on Hepatology, Immunology, Epidemiology, Infectious Diseases and Parasitology, having authored 14 papers that have together received 722 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Immunotherapy and Immune Responses (7 papers), Hepatitis C virus research (6 papers), Immune Cell Function and Interaction (4 papers), Immune cells in cancer (2 papers), Mosquito-borne diseases and control (2 papers), Viral Infections and Vectors (2 papers) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Hepatology (268 citations), Immunology (342 citations), Epidemiology (375 citations), Virology (22 citations) and Infectious Diseases (75 citations). Antony Chen has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Patrick T.F. Kennedy, Mala K. Maini, Upkar S. Gill, Abhishek Das, Antonio Bertoletti, Geoffrey M Dusheiko, Dimitra Peppa, Gidon Ellis, Claudia Mauri and Pooja Khanna. Their work appears in journals such as The Journal of Immunology, Vaccine, AIDS, Nature Medicine and The Journal of Infectious Diseases.
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.