Michael G. Katze
Impact in
- Immunology top 0.05%
- interferon and immune responses
- Immune Response and Inflammation
- Virology top 0.2%
Papers in
- Virology 40
- HIV Research and Treatment 39
- Immunology 135
- interferon and immune responses 109
- Co-authors
- Michael GaleMarcus J. KorthSeng-Lai TanSean ProllGlen N. BarberAra G. HovanessianYupeng HeRobert M. Krug
- Journals
- Journal of Virology (72 papers)Virology (18 papers)Molecular and Cellular Biology (16 papers)Proceedings of the National Academy of Sciences (15 papers)PLoS Pathogens (14 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Michael G. Katze
298 papers receiving 27.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Immunology 10.2k
- Virology 2.1k
- Hepatology 3.2k
- Infectious Diseases 6.8k
- Epidemiology 9.7k
Countries citing papers authored by Michael G. Katze
This map shows the geographic impact of Michael G. Katze'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 Michael G. Katze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Katze more than expected).
Fields of papers citing papers by Michael G. Katze
This network shows the impact of papers produced by Michael G. Katze. 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 Michael G. Katze. The network helps show where Michael G. Katze may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael G. Katze, 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 | Viral pathogenesis : from basics to systems biology | 2016 | 13 |
| 2 | 2014 | 5 | |
| 3 | 2013 | 27 | |
| 4 | 2013 | 14 | |
| 5 | 2012 | 48 | |
| 6 | 2012 | 52 | |
| 7 | 2012 | 38 | |
| 8 | 2009 | 181 | |
| 9 | 2009 | 137 | |
| 10 | Distinct RIG-I and MDA5 Signaling by RNA Viruses in Innate Immunity Hit paper breakdown → | 2007 | 843 |
| 11 | 2007 | 20 | |
| 12 | 2006 | 45 | |
| 13 | 1999 | 37 | |
| 14 | 1998 | 105 | |
| 15 | Evidence That Hepatitis C Virus Resistance to Interferon Is Mediated through Repression of the PKR Protein Kinase by the Nonstructural 5A Protein Hit paper breakdown → | 1997 | 670 |
| 16 | 1996 | 15 | |
| 17 | 1995 | 126 | |
| 18 | 1995 | 334 | |
| 19 | 1993 | 44 | |
| 20 | 1992 | 91 |
About Michael G. Katze
Michael G. Katze is a scholar working on Virology, Immunology, Hepatology, Infectious Diseases and Epidemiology, having authored 300 papers that have together received 27.8k indexed citations. Recurring topics across this work include interferon and immune responses (109 papers), Influenza Virus Research Studies (72 papers), RNA regulation and disease (45 papers), HIV Research and Treatment (39 papers), Virus-based gene therapy research (36 papers), Viral Infections and Immunology Research (33 papers), RNA and protein synthesis mechanisms (31 papers) and Hepatitis C virus research (30 papers). The work is most often cited by research in Immunology (10.2k citations), Virology (2.1k citations), Hepatology (3.2k citations), Infectious Diseases (6.8k citations) and Epidemiology (9.7k citations). Michael G. Katze has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Michael Gale, Marcus J. Korth, Seng-Lai Tan, Sean Proll, Glen N. Barber, Ara G. Hovanessian, Yupeng He, Robert M. Krug, Jennifer R. Tisoncik and Cameron P. Simmons. Their work appears in journals such as Journal of Virology, Virology, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and PLoS Pathogens.
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.