Todd M. Pryce
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Antimicrobial Resistance in Staphylococcus
- Tuberculosis Research and Epidemiology
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- SARS-CoV-2 detection and testing 6
- SARS-CoV-2 and COVID-19 Research 5
- Tuberculosis Research and Epidemiology 3
- Antifungal resistance and susceptibility 3
- Epidemiology 13
- Respiratory viral infections research 5
- Fungal Infections and Studies 3
- Co-authors
- Silvano Palladino (4 shared papers)Ian Kay (8 shared papers)Geoffrey W. Coombs (3 shared papers)Jerzy K. Kulski (3 shared papers)Christopher H. Heath (2 shared papers)Dianne Gardam (2 shared papers)K. J. Christiansen (1 shared paper)Peter Boan (7 shared papers)
In The Last Decade
Todd M. Pryce
23 papers receiving 542 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 291
- Clinical Biochemistry 73
- Epidemiology 266
- Cell Biology 102
- Microbiology 4
Countries citing papers authored by Todd M. Pryce
This map shows the geographic impact of Todd M. Pryce'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 Todd M. Pryce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd M. Pryce more than expected).
Fields of papers citing papers by Todd M. Pryce
This network shows the impact of papers produced by Todd M. Pryce. 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 Todd M. Pryce. The network helps show where Todd M. Pryce may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd M. Pryce, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 154 | |
| 2 | 2006 | 55 | |
| 3 | 2003 | 53 | |
| 4 | 1995 | 51 | |
| 5 | 2014 | 37 | |
| 6 | 2016 | 32 | |
| 7 | 1996 | 31 | |
| 8 | 2008 | 28 | |
| 9 | 1998 | 25 | |
| 10 | 2014 | 19 | |
| 11 | 2011 | 15 | |
| 12 | 1999 | 15 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 8 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Todd M. Pryce
Todd M. Pryce is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Molecular Biology and Clinical Biochemistry, having authored 24 papers that have together received 560 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (6 papers), Respiratory viral infections research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Bacterial Infections and Vaccines (4 papers), Reproductive tract infections research (4 papers), Tuberculosis Research and Epidemiology (3 papers), Antifungal resistance and susceptibility (3 papers) and Fungal Infections and Studies (3 papers). The work is most often cited by research in Infectious Diseases (291 citations), Clinical Biochemistry (73 citations), Epidemiology (266 citations), Cell Biology (102 citations) and Microbiology (4 citations). Todd M. Pryce has collaborated with scholars based in Australia, Canada and Spain. Frequent co-authors include Silvano Palladino, Ian Kay, Geoffrey W. Coombs, Jerzy K. Kulski, Christopher H. Heath, Dianne Gardam, K. J. Christiansen, Peter Boan, Ronan J. Murray and James Flexman. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Pathology, Medical Mycology and 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.