Michael T. Pyne

416 total citations
30 papers, 294 citations indexed

About

Michael T. Pyne is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Michael T. Pyne has authored 30 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Epidemiology and 10 papers in Infectious Diseases. Recurrent topics in Michael T. Pyne's work include HIV/AIDS drug development and treatment (8 papers), Hepatitis B Virus Studies (7 papers) and HIV Research and Treatment (6 papers). Michael T. Pyne is often cited by papers focused on HIV/AIDS drug development and treatment (8 papers), Hepatitis B Virus Studies (7 papers) and HIV Research and Treatment (6 papers). Michael T. Pyne collaborates with scholars based in United States, Germany and Belgium. Michael T. Pyne's co-authors include David R. Hillyard, Vera Holzmayer, John Hackett, Brian E. Ward, Thomas Scholl, Amit Phansalkar, Eric Q. Konnick, Donna Russo, Katherine L. Brown and Lee D. Hansen and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and International Journal of Pharmaceutics.

In The Last Decade

Michael T. Pyne

30 papers receiving 284 citations

Peers

Michael T. Pyne
Georges Abou-Jaoudé France
Annie Bernier Canada
Harshana S. De Silva Feelixge United States
Wenzhuo Hao United States
Mohube Betty Maepa South Africa
Cuncun Chen China
Jan‐Hendrik Bockmann Germany
Carlos Daniel Cordero‐Rivera Mexico
Ronald L. Veselenak United States
A. Sow Senegal
Georges Abou-Jaoudé France
Michael T. Pyne
Citations per year, relative to Michael T. Pyne Michael T. Pyne (= 1×) peers Georges Abou-Jaoudé

Countries citing papers authored by Michael T. Pyne

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael T. Pyne

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Pyne. A scholar is included among the top collaborators of Michael T. Pyne 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 Michael T. Pyne. Michael T. Pyne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shean, Ryan C., et al.. (2024). Repeat testing of mpox specimens with late CTs improves detection of potential false positive cases. Journal of Clinical Microbiology. 62(2). e0127523–e0127523. 2 indexed citations
2.
Hymas, Weston, Keith E. Simmon, Michael T. Pyne, et al.. (2023). Development and validation of a next-generation sequencing assay with open-access analysis software for detecting resistance-associated mutations in CMV. Journal of Clinical Microbiology. 61(12). e0082923–e0082923. 11 indexed citations
3.
Pyne, Michael T., Adam P. Barker, Jeanmarie Mayer, et al.. (2021). Efficient and effective single-step screening of individual samples for SARS-CoV-2 RNA using multi-dimensional pooling and Bayesian inference. Journal of The Royal Society Interface. 18(179). 20210155–20210155. 1 indexed citations
4.
Hong, Samuel L., Simon Dellicour, Bram Vrancken, et al.. (2020). In Search of Covariates of HIV-1 Subtype B Spread in the United States—A Cautionary Tale of Large-Scale Bayesian Phylogeography. Viruses. 12(2). 182–182. 13 indexed citations
5.
Pyne, Michael T., Keith D. Tardif, Laurie Lesher, et al.. (2019). Clinical Performance of SurePath™ Preservative Compared to PreservCyt® with Cobas® and Hybrid Capture® 2 HPV Tests in a Colposcopy Population. Clinical Laboratory. 65(03/2019). 1 indexed citations
6.
Pyne, Michael T., et al.. (2017). Sequencing of the Hepatitis D Virus RNA WHO International Standard. Journal of Clinical Virology. 90. 52–56. 10 indexed citations
7.
8.
Pyne, Michael T., et al.. (2015). High-risk HPV detection and genotyping by APTIMA HPV using cervical samples. Journal of Virological Methods. 221. 95–99. 3 indexed citations
9.
Pyne, Michael T., et al.. (2015). HCV RNA measurement in samples with diverse genotypes using versions 1 and 2 of the Roche COBAS® AmpliPrep/COBAS® TaqMan® HCV test. Journal of Clinical Virology. 65. 54–57. 7 indexed citations
10.
Pyne, Michael T. & David R. Hillyard. (2013). Evaluation of the Roche COBAS AmpliPrep/COBAS TaqMan HCV Test. Diagnostic Microbiology and Infectious Disease. 77(1). 25–30. 5 indexed citations
11.
Pyne, Michael T., Andrew Wilson, & David R. Hillyard. (2012). Large-scale comparison of Roche Cobas AmpliPrep/Cobas TaqMan and Abbott RealTime HIV assays. Journal of Virological Methods. 184(1-2). 106–108. 4 indexed citations
12.
Smith, G. Denice, Nikhil Sangle, Andrew Wilson, et al.. (2012). A retrospective review of UroVysion fish interpretations over 8.6 years: A major shift in the patient test population. Diagnostic Cytopathology. 41(5). 437–447. 9 indexed citations
13.
Pyne, Michael T., et al.. (2012). Comparison of Three Roche Hepatitis B Virus Viral Load Assay Formats. Journal of Clinical Microbiology. 50(7). 2337–2342. 14 indexed citations
14.
Bossler, Aaron, Michael T. Pyne, Jane M. Rachel, et al.. (2010). Performance of the COBAS® AmpliPrep/COBAS TaqMan® automated system for hepatitis C virus (HCV) quantification in a multi-center comparison. Journal of Clinical Virology. 50(2). 100–103. 13 indexed citations
15.
Pyne, Michael T., Eric Q. Konnick, Amit Phansalkar, & David R. Hillyard. (2009). Evaluation of the Abbott Investigational Use Only RealTime HIV-1 Assay and Comparison to the Roche Amplicor HIV-1 Monitor Test, Version 1.5. Journal of Molecular Diagnostics. 11(4). 347–354. 10 indexed citations
16.
Nielsen, David R., Brant C. Hendrickson, Michael T. Pyne, et al.. (2003). A Biochemical analysis demonstrates that the BRCA1 intronic variant IVS10-2A→C is a mutation. Journal of Human Genetics. 48(8). 399–403. 13 indexed citations
17.
Pyne, Michael T., et al.. (2000). The BRCA2 genetic variant IVS7 + 2T → G is a mutation. Journal of Human Genetics. 45(6). 351–357. 19 indexed citations
18.
Pyne, Michael T., et al.. (1999). A characterization of genetic variants in BRCA1 intron 8 identifies a mutation and a polymorphism. PubMed. 406(2-4). 101–107. 5 indexed citations
19.
Pyne, Michael T., et al.. (1996). Water vapor sorption by potash fertilizers studied by a kinetic method. Thermochimica Acta. 273. 277–285. 9 indexed citations
20.
Skinner, Michael, Dun-Xian Tan, M. Großmann, Michael T. Pyne, & Roderick K. Mahurin. (1996). Effects of Captopril and Propranolol on Cognitive Function and Cerebral Blood Flow in Aged Hypertensive Rats. The Journals of Gerontology Series A. 51A(6). B454–B460. 15 indexed citations

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.

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