Todd M. Pryce

746 total citations
23 papers, 552 citations indexed

About

Todd M. Pryce is a scholar working on Infectious Diseases, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Todd M. Pryce has authored 23 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 14 papers in Epidemiology and 4 papers in Clinical Biochemistry. Recurrent topics in Todd M. Pryce's work include SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Respiratory viral infections research (5 papers). Todd M. Pryce is often cited by papers focused on SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Respiratory viral infections research (5 papers). Todd M. Pryce collaborates with scholars based in Australia, Canada and Spain. Todd M. Pryce's co-authors include Silvano Palladino, Ian Kay, Geoffrey W. Coombs, Jerzy K. Kulski, Christopher H. Heath, K. J. Christiansen, Dianne Gardam, Peter Boan, Ronan J. Murray and James Flexman and has published in prestigious journals such as Journal of Clinical Microbiology, Clinical Microbiology and Infection and Journal of Microbiological Methods.

In The Last Decade

Todd M. Pryce

22 papers receiving 533 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Todd M. Pryce Australia 12 316 294 109 92 88 23 552
Joe Huong United States 7 277 0.9× 232 0.8× 68 0.6× 93 1.0× 95 1.1× 8 559
Rose‐Anne Lavergne France 17 522 1.7× 466 1.6× 188 1.7× 94 1.0× 83 0.9× 43 838
D. Jane Hata United States 11 324 1.0× 281 1.0× 66 0.6× 67 0.7× 57 0.6× 35 513
Prasanna D. Khot United States 11 374 1.2× 427 1.5× 141 1.3× 182 2.0× 198 2.3× 14 787
M.-E. Bougnoux France 8 267 0.8× 258 0.9× 70 0.6× 57 0.6× 94 1.1× 11 434
Ilona Dóczi Hungary 17 427 1.4× 282 1.0× 178 1.6× 88 1.0× 42 0.5× 28 754
Valério Rodrigues Aquino Brazil 15 514 1.6× 466 1.6× 192 1.8× 49 0.5× 56 0.6× 44 706
Anupma Jyoti Kindo India 13 516 1.6× 468 1.6× 190 1.7× 58 0.6× 27 0.3× 46 729
Evangelia Bibashi Greece 13 301 1.0× 244 0.8× 101 0.9× 62 0.7× 24 0.3× 14 487
Konrad Muehlethaler Switzerland 7 582 1.8× 449 1.5× 162 1.5× 59 0.6× 22 0.3× 9 684

Countries citing papers authored by Todd M. Pryce

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Todd M. Pryce

This figure shows the co-authorship network connecting the top 25 collaborators of Todd M. Pryce. A scholar is included among the top collaborators of Todd M. Pryce 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 Todd M. Pryce. Todd M. Pryce 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
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Boan, Peter, Andrew Jardine, & Todd M. Pryce. (2022). Clinical associations of SARS-CoV-2 viral load using the first WHO International Standard for SARS-CoV-2 RNA. Pathology. 54(3). 344–350. 8 indexed citations
4.
Pryce, Todd M., et al.. (2022). High-Throughput COVID-19 Testing of Naso-Oropharyngeal Swabs Using a Sensitive Extraction-Free Sample Preparation Method. Microbiology Spectrum. 10(4). e0135822–e0135822. 2 indexed citations
5.
Pryce, Todd M., et al.. (2021). Quantitative Pneumocystis jirovecii real-time PCR to differentiate disease from colonisation. Pathology. 53(7). 896–901. 11 indexed citations
6.
Pryce, Todd M., Peter Boan, Ian Kay, & James Flexman. (2021). Qualitative and quantitative effects of thermal treatment of naso-oropharyngeal samples before cobas SARS-CoV-2 testing. Diagnostic Microbiology and Infectious Disease. 101(4). 115519–115519. 2 indexed citations
7.
Pryce, Todd M., et al.. (2020). Second- and third-generation commercial Neisseria gonorrhoeae screening assays and the ongoing issues of false-positive results and confirmatory testing. European Journal of Clinical Microbiology & Infectious Diseases. 40(1). 67–75. 6 indexed citations
8.
Pryce, Todd M., Peter Boan, Ian Kay, & James Flexman. (2020). Thermal treatment of nasopharyngeal samples before cobas SARS-CoV-2 testing. Clinical Microbiology and Infection. 27(1). 149–150. 6 indexed citations
9.
Boan, Peter, Christopher Hewison, Ashley Irish, et al.. (2016). Optimal use of plasma and urine BK viral loads for screening and predicting BK nephropathy. BMC Infectious Diseases. 16(1). 342–342. 32 indexed citations
10.
Ingram, Paul R., et al.. (2014). Cutaneous mucormycosis and motor vehicle accidents: Findings from an Australian case series. Medical Mycology. 52(8). 819–825. 36 indexed citations
11.
Pryce, Todd M., et al.. (2014). Low Vancomycin MICs and Fecal Densities Reduce the Sensitivity of Screening Methods for Vancomycin Resistance in Enterococci. Journal of Clinical Microbiology. 52(8). 2829–2833. 18 indexed citations
12.
Fatovich, Daniel M, et al.. (2011). Quantitative rt‐PCR holds promise as a screening tool for patients with severe sepsis. Emergency Medicine Australasia. 23(4). 502–506. 15 indexed citations
13.
Palladino, Silvano, Ian Kay, Todd M. Pryce, et al.. (2008). Feasibility of real-time polymerase chain reaction in whole blood to identify Streptococcus pneumoniae in patients with community-acquired pneumonia. Diagnostic Microbiology and Infectious Disease. 61(1). 72–75. 28 indexed citations
14.
Pryce, Todd M., Silvano Palladino, Dianne Gardam, et al.. (2006). Rapid identification of fungal pathogens in BacT/ALERT, BACTEC, and BBL MGIT media using polymerase chain reaction and DNA sequencing of the internal transcribed spacer regions. Diagnostic Microbiology and Infectious Disease. 54(4). 289–297. 55 indexed citations
15.
Pryce, Todd M., Silvano Palladino, Ian Kay, & Geoffrey W. Coombs. (2003). Rapid identification of fungi by sequencing the ITS1 and ITS2 regions using an automated capillary electrophoresis system. Medical Mycology. 41(5). 369–381. 154 indexed citations
16.
Pryce, Todd M., Ian Kay, Silvano Palladino, & Christopher H. Heath. (2003). Real-time automated polymerase chain reaction (PCR) to detect Candida albicans and Aspergillus fumigatus DNA in whole blood from high-risk patients. Diagnostic Microbiology and Infectious Disease. 47(3). 487–496. 53 indexed citations
17.
Pryce, Todd M., Roger Wilson, & Jerzy K. Kulski. (1999). Identification of enterococci by ribotyping with horseradish-peroxidase-labelled 16S rDNA probes. Journal of Microbiological Methods. 36(3). 147–155. 15 indexed citations
18.
Leung, Michael, et al.. (1998). Colony Variation in Staphylococcus lugdunensis. Journal of Clinical Microbiology. 36(10). 3096–3098. 25 indexed citations
19.
Kulski, Jerzy K. & Todd M. Pryce. (1996). Preparation of mycobacterial DNA from blood culture fluids by simple alkali wash and heat lysis method for PCR detection. Journal of Clinical Microbiology. 34(8). 1985–1991. 30 indexed citations
20.
Kulski, Jerzy K., et al.. (1995). Use of a multiplex PCR to detect and identify Mycobacterium avium and M. intracellulare in blood culture fluids of AIDS patients. Journal of Clinical Microbiology. 33(3). 668–674. 50 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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