Raymond T. Chung
- Hepatology top 0.01%
- Hepatitis C virus research 266
- Liver Disease and Transplantation 75
- Liver Diseases and Immunity 19
- Epidemiology top 0.05%
- Liver Disease Diagnosis and Treatment 240
- Hepatitis B Virus Studies 145
- Virology top 0.5%
- HIV Research and Treatment 21
- Transplantation top 0.5%
- Immunology top 0.5%
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- HIV/AIDS drug development and treatment 31
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- Systemic Lupus Erythematosus Research 23
- Co-authors
- Lee M. KaplanVincent AgnelloKathleen E. CoreyBruce D. WalkerArthur Y. KimKenneth E. ShermanGeorg M. LauerGregory K. Robbins
- Cited by
- HepatologyEpidemiologyVirology
- Journals
- Science (1 paper)New England Journal of Medicine (7 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Raymond T. Chung
420 papers receiving 22.7k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Hepatology 13.5k
- Epidemiology 12.9k
- Virology 1.4k
- Transplantation 589
- Immunology 3.1k
Countries citing papers authored by Raymond T. Chung
This map shows the geographic impact of Raymond T. 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 Raymond T. Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond T. Chung more than expected).
Fields of papers citing papers by Raymond T. Chung
This network shows the impact of papers produced by Raymond T. 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 Raymond T. Chung. The network helps show where Raymond T. Chung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raymond T. 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 69 | |
| 9 | 2020 | 28 | |
| 10 | Hepatic transferrin plays a role in systemic iron homeostasis and liver ferroptosisbreakdown → | 2020 | 449 |
| 11 | Comprehensive serological profiling of human populations using a synthetic human viromebreakdown → | 2015 | 278 |
| 12 | 2015 | 31 | |
| 13 | 2014 | 0 | |
| 14 | 2014 | 37 | |
| 15 | 2013 | 3 | |
| 16 | 2013 | 89 | |
| 17 | 2012 | 2 | |
| 18 | 2008 | 179 | |
| 19 | 2005 | 85 | |
| 20 | 2003 | 222 |
About Raymond T. Chung
Raymond T. Chung is a scholar working on Hepatology, Epidemiology and Transplantation, having authored 431 papers that have together received 23.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (266 papers), Liver Disease Diagnosis and Treatment (240 papers), Hepatitis B Virus Studies (145 papers), Liver Disease and Transplantation (75 papers), HIV/AIDS drug development and treatment (31 papers), Systemic Lupus Erythematosus Research (23 papers), HIV Research and Treatment (21 papers) and Liver Diseases and Immunity (19 papers). The work is most often cited by research in Hepatology (13.5k citations), Epidemiology (12.9k citations) and Virology (1.4k citations). Raymond T. Chung has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Lee M. Kaplan, Vincent Agnello, Kathleen E. Corey, Bruce D. Walker, Arthur Y. Kim, Kenneth E. Sherman, Georg M. Lauer, Gregory K. Robbins, Paul Klenerman and Wenyu Lin. Their work appears in journals such as Science, New England Journal of Medicine 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.