Michael D. Miller
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Hepatology top 1%
- Hepatitis C virus research
Papers in
- Virology 24
- HIV Research and Treatment 24
- Epidemiology 20
- Hepatitis B Virus Studies 11
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Norman L. Letvin (9 shared papers)Shelly Xiong (3 shared papers)William E. Delaney (3 shared papers)Huiling Yang (4 shared papers)Carol I. Lord (2 shared papers)Craig S. Gibbs (2 shared papers)Yasuhiro Yasutomi (3 shared papers)David I. Watkins (3 shared papers)
- Journals
- The Journal of Immunology (7 papers)Journal of Virology (6 papers)Journal of Hepatology (3 papers)The Journal of Infectious Diseases (2 papers)Virology (2 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Michael D. Miller
59 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 145
- Virology 1.4k
- Hepatology 781
- Infectious Diseases 950
- Immunology 976
- Epidemiology 1.3k
Countries citing papers authored by Michael D. Miller
This map shows the geographic impact of Michael D. Miller'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 D. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Miller more than expected).
Fields of papers citing papers by Michael D. Miller
This network shows the impact of papers produced by Michael D. Miller. 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 D. Miller. The network helps show where Michael D. Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Miller, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 215 | |
| 2 | 2003 | 213 | |
| 3 | 2003 | 185 | |
| 4 | 1993 | 184 | |
| 5 | 1991 | 143 | |
| 6 | 2013 | 143 | |
| 7 | 2007 | 143 | |
| 8 | 2010 | 128 | |
| 9 | 1991 | 121 | |
| 10 | 2018 | 116 | |
| 11 | 2006 | 105 | |
| 12 | 1976 | 97 | |
| 13 | 1989 | 91 | |
| 14 | 2016 | 78 | |
| 15 | K65R, TAMs and tenofovir. | 2004 | 76 |
| 16 | 1991 | 76 | |
| 17 | 1990 | 75 | |
| 18 | 1976 | 74 | |
| 19 | 2008 | 70 | |
| 20 | 2008 | 63 |
About Michael D. Miller
Michael D. Miller is a scholar working on Virology, Epidemiology, Infectious Diseases, Hepatology and Immunology, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (24 papers), Hepatitis C virus research (14 papers), Hepatitis B Virus Studies (11 papers), HIV/AIDS drug development and treatment (10 papers), Immune Cell Function and Interaction (9 papers), HIV/AIDS Research and Interventions (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Virology (1.4k citations), Hepatology (781 citations), Infectious Diseases (950 citations), Immunology (976 citations) and Epidemiology (1.3k citations). Michael D. Miller has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Norman L. Letvin, Shelly Xiong, William E. Delaney, Huiling Yang, Carol I. Lord, Craig S. Gibbs, Yasuhiro Yasutomi, David I. Watkins, Keith A. Reimann and Gail P. Mazzara. Their work appears in journals such as The Journal of Immunology, Journal of Virology, Journal of Hepatology, The Journal of Infectious Diseases and Virology.
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.