Charles M. Rice
Impact in
- Hepatology top 0.01%
- Hepatitis C virus research
- Virology top 0.05%
- HIV Research and Treatment
Papers in
- Hepatology 251
- Hepatitis C virus research 243
- Epidemiology 231
- Hepatitis B Virus Studies 159
- Liver Disease Diagnosis and Treatment 64
- Co-authors
- Brett D. Lindenbach (23 shared papers)Jane A. McKeating (18 shared papers)William M. Schneider (22 shared papers)Arash Grakoui (25 shared papers)John W. Schoggins (17 shared papers)Keril J. Blight (7 shared papers)James H. Strauss (25 shared papers)Alexander A. Kolykhalov (8 shared papers)
- Journals
- Journal of Virology (134 papers)Proceedings of the National Academy of Sciences (44 papers)Hepatology (23 papers)The Journal of Experimental Medicine (21 papers)Nature (21 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Charles M. Rice
561 papers receiving 82.1k citations
Charles M. Rice's Hit Papers
Peers
Comparison fields: 5 of 180
- Hepatology 32.0k
- Virology 7.4k
- Infectious Diseases 23.6k
- Epidemiology 27.9k
- Immunology 17.0k
Countries citing papers authored by Charles M. Rice
This map shows the geographic impact of Charles M. Rice'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 Charles M. Rice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles M. Rice more than expected).
Fields of papers citing papers by Charles M. Rice
This network shows the impact of papers produced by Charles M. Rice. 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 Charles M. Rice. The network helps show where Charles M. Rice may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles M. Rice, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 567 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interferon-Stimulated Genes: A Complex Web of Host Defenses Hit paper breakdown → | 2014 | 2428 |
| 2 | Autoantibodies against type I IFNs in patients with life-threatening COVID-19 Hit paper breakdown → | 2020 | 2063 |
| 3 | A diverse range of gene products are effectors of the type I interferon antiviral response Hit paper breakdown → | 2011 | 2011 |
| 4 | Complete Replication of Hepatitis C Virus in Cell Culture Hit paper breakdown → | 2005 | 1940 |
| 5 | Inborn errors of type I IFN immunity in patients with life-threatening COVID-19 Hit paper breakdown → | 2020 | 1718 |
| 6 | FLAVIVIRUS GENOME ORGANIZATION, EXPRESSION, AND REPLICATION Hit paper breakdown → | 1990 | 1712 |
| 7 | Convergent antibody responses to SARS-CoV-2 in convalescent individuals Hit paper breakdown → | 2020 | 1422 |
| 8 | Suppression of inflammation by a synthetic histone mimic Hit paper breakdown → | 2010 | 1332 |
| 9 | Efficient Initiation of HCV RNA Replication in Cell Culture Hit paper breakdown → | 2000 | 1230 |
| 10 | Replication of hepatitis C virus Hit paper breakdown → | 2007 | 1104 |
| 11 | Expanded classification of hepatitis C virus into 7 genotypes and 67 subtypes: Updated criteria and genotype assignment web resource Hit paper breakdown → | 2013 | 1087 |
| 12 | Interferon-stimulated genes and their antiviral effector functions Hit paper breakdown → | 2011 | 1052 |
| 13 | Highly Permissive Cell Lines for Subgenomic and Genomic Hepatitis C Virus RNA Replication Hit paper breakdown → | 2002 | 1036 |
| 14 | Escape from neutralizing antibodies by SARS-CoV-2 spike protein variants Hit paper breakdown → | 2020 | 997 |
| 15 | Claudin-1 is a hepatitis C virus co-receptor required for a late step in entry Hit paper breakdown → | 2007 | 996 |
| 16 | Identification of microRNAs of the herpesvirus family Hit paper breakdown → | 2005 | 944 |
| 17 | Nucleotide Sequence of Yellow Fever Virus: Implications for Flavivirus Gene Expression and Evolution Hit paper breakdown → | 1985 | 831 |
| 18 | Expression and identification of hepatitis C virus polyprotein cleavage products Hit paper breakdown → | 1993 | 794 |
| 19 | Pan-viral specificity of IFN-induced genes reveals new roles for cGAS in innate immunity Hit paper breakdown → | 2013 | 772 |
| 20 | Human occludin is a hepatitis C virus entry factor required for infection of mouse cells Hit paper breakdown → | 2009 | 754 |
About Charles M. Rice
Charles M. Rice is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Immunology and Virology, having authored 567 papers that have together received 84.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (243 papers), Hepatitis B Virus Studies (159 papers), Mosquito-borne diseases and control (95 papers), interferon and immune responses (72 papers), Viral Infections and Vectors (64 papers), Liver Disease Diagnosis and Treatment (64 papers), Monoclonal and Polyclonal Antibodies Research (53 papers) and HIV Research and Treatment (50 papers). The work is most often cited by research in Hepatology (32.0k citations), Virology (7.4k citations), Infectious Diseases (23.6k citations), Epidemiology (27.9k citations) and Immunology (17.0k citations). Charles M. Rice has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Brett D. Lindenbach, Jane A. McKeating, William M. Schneider, Arash Grakoui, John W. Schoggins, Keril J. Blight, James H. Strauss, Alexander A. Kolykhalov, Meike Dittmann and Matthew J. Evans. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Hepatology, The Journal of Experimental Medicine and Nature.
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.