Michael T. Pyne
Impact in
- Virology top 10%
- HIV Research and Treatment
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Molecular Biology Techniques and Applications 5
- CRISPR and Genetic Engineering 5
- Epidemiology 10
- Cervical Cancer and HPV Research 5
- Hepatitis B Virus Studies 4
- Co-authors
- David R. Hillyard (15 shared papers)John Hackett (1 shared paper)Vera Holzmayer (1 shared paper)Thomas Scholl (4 shared papers)Brian E. Ward (4 shared papers)Eric Q. Konnick (2 shared papers)Amit Phansalkar (2 shared papers)Katherine L. Brown (1 shared paper)
- Journals
- Journal of Clinical Microbiology (9 papers)Journal of Clinical Virology (3 papers)Diagnostic Microbiology and Infectious Disease (1 paper)Journal of Molecular Diagnostics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Michael T. Pyne
29 papers receiving 283 citations
Peers
Comparison fields: 5 of 68
- Virology 71
- Hepatology 56
- Infectious Diseases 60
- Epidemiology 86
- Genetics 52
Countries citing papers authored by Michael T. Pyne
This map shows the geographic impact of Michael T. Pyne'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 T. Pyne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Pyne more than expected).
Fields of papers citing papers by Michael T. Pyne
This network shows the impact of papers produced by Michael T. Pyne. 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 T. Pyne. The network helps show where Michael T. Pyne may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael T. Pyne, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 38 | |
| 2 | 2009 | 20 | |
| 3 | 1999 | 20 | |
| 4 | 2000 | 19 | |
| 5 | 2010 | 18 | |
| 6 | 1996 | 15 | |
| 7 | 2012 | 14 | |
| 8 | 2010 | 13 | |
| 9 | 2003 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2017 | 10 | |
| 13 | 2009 | 10 | |
| 14 | 1996 | 10 | |
| 15 | 2012 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2015 | 7 | |
| 18 | 1996 | 7 | |
| 19 | 2014 | 5 | |
| 20 | 2013 | 5 |
About Michael T. Pyne
Michael T. Pyne is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Virology and Hepatology, having authored 29 papers that have together received 293 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (6 papers), Hepatitis C virus research (6 papers), HIV Research and Treatment (6 papers), Cervical Cancer and HPV Research (5 papers), Molecular Biology Techniques and Applications (5 papers), CRISPR and Genetic Engineering (5 papers), Hepatitis B Virus Studies (4 papers) and HIV/AIDS Research and Interventions (4 papers). The work is most often cited by research in Virology (71 citations), Hepatology (56 citations), Infectious Diseases (60 citations), Epidemiology (86 citations) and Genetics (52 citations). Michael T. Pyne has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include David R. Hillyard, John Hackett, Vera Holzmayer, Thomas Scholl, Brian E. Ward, Eric Q. Konnick, Amit Phansalkar, Katherine L. Brown, Lee D. Hansen and Donna Russo. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Clinical Virology, Diagnostic Microbiology and Infectious Disease, Journal of Molecular Diagnostics and PLoS ONE.
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.