Matthew Parker
- Co-authors
- Jinghui ZhangRandall RevesNaomi H. PhilipMeghan A. Wynosky-DolfiChristopher P. DillonErin E. ZwackLei WeiAlan M. Copenhaver
- Topics
- SARS-CoV-2 and COVID-19 Research (6 papers)Respiratory viral infections research (3 papers)Tuberculosis Research and Epidemiology (3 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Matthew Parker
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 444
- Infectious Diseases 284
- Epidemiology 212
- Surgery 194
- Immunology 154
Countries citing papers authored by Matthew Parker
This map shows the geographic impact of Matthew Parker'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 Matthew Parker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Parker more than expected).
Fields of papers citing papers by Matthew Parker
This network shows the impact of papers produced by Matthew Parker. 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 Matthew Parker. The network helps show where Matthew Parker may publish in the future.
Co-authorship network of co-authors of Matthew Parker
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Parker. A scholar is included among the top collaborators of Matthew Parker 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 Matthew Parker. Matthew Parker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 43 | |
| 4 | 19 | |
| 5 | 70 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 32 | |
| 10 | 67 | |
| 11 | 18 | |
| 12 | 116 | |
| 13 | Performance of a prototype chlamydia and gonorrhoea recombinase polymerase amplification point-of-care test in three sexual health clinics | 1 |
| 14 | 55 | |
| 15 | 61 | |
| 16 | 222 | |
| 17 | 146 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | 112 |
About Matthew Parker
Matthew Parker is a scholar working on Infectious Diseases, Microbiology and Modeling and Simulation, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Respiratory viral infections research (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (284 citations), Immunology (154 citations) and Molecular Biology (444 citations). Matthew Parker has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jinghui Zhang, Randall Reves, Naomi H. Philip, Meghan A. Wynosky-Dolfi, Christopher P. Dillon, Erin E. Zwack, Lei Wei, Alan M. Copenhaver, Andrew Oberst and Elizabeth A. Mauldin. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and American Journal of Respiratory and Critical Care Medicine.
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.