Raymond T. Chung
- Hepatology top 0.01%
- Epidemiology top 0.05%
- Molecular Biology top 2%
- Immunology top 0.5%
- Infectious Diseases top 0.5%
- Co-authors
- Lee M. KaplanVincent AgnelloKathleen E. CoreyBruce D. WalkerArthur Y. KimKenneth E. ShermanGeorg M. LauerGregory K. Robbins
- Topics
- Hepatitis C virus research (266 papers)Liver Disease Diagnosis and Treatment (240 papers)Hepatitis B Virus Studies (145 papers)
- Cited by
- HepatologyEpidemiologyVirology
- 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
- Molecular Biology 3.7k
- Immunology 3.1k
- Infectious Diseases 2.6k
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 of co-authors of Raymond T. Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond T. Chung. A scholar is included among the top collaborators of Raymond T. Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raymond T. Chung. Raymond T. Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 18 | |
| 8 | 69 | |
| 9 | 28 | |
| 10 | Hepatic transferrin plays a role in systemic iron homeostasis and liver ferroptosisbreakdown → | 449 |
| 11 | Comprehensive serological profiling of human populations using a synthetic human viromebreakdown → | 278 |
| 12 | 31 | |
| 13 | 0 | |
| 14 | 37 | |
| 15 | 3 | |
| 16 | 89 | |
| 17 | 2 | |
| 18 | 179 | |
| 19 | 85 | |
| 20 | 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) and Hepatitis B Virus Studies (145 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.