Daniel R. Knight

3.2k total citations
77 papers, 2.4k citations indexed

About

Daniel R. Knight is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Daniel R. Knight has authored 77 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Infectious Diseases, 25 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Daniel R. Knight's work include Clostridium difficile and Clostridium perfringens research (62 papers), Viral gastroenteritis research and epidemiology (37 papers) and Antimicrobial Resistance in Staphylococcus (24 papers). Daniel R. Knight is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (62 papers), Viral gastroenteritis research and epidemiology (37 papers) and Antimicrobial Resistance in Staphylococcus (24 papers). Daniel R. Knight collaborates with scholars based in Australia, Thailand and United Kingdom. Daniel R. Knight's co-authors include Thomas V. Riley, Briony Elliott, Michele M. Squire, Papanin Putsathit, Su‐Chen Lim, Deirdre A. Collins, Barbara J. Chang, Ian Morrissey, Grace O. Androga and Timothy T. Perkins and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Daniel R. Knight

75 papers receiving 2.3k citations

Peers

Daniel R. Knight
Daniel R. Knight
Citations per year, relative to Daniel R. Knight Daniel R. Knight (= 1×) peers Eiman Mokaddas

Countries citing papers authored by Daniel R. Knight

Since Specialization
Citations

This map shows the geographic impact of Daniel R. Knight'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 Daniel R. Knight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Knight more than expected).

Fields of papers citing papers by Daniel R. Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Knight. 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 Daniel R. Knight. The network helps show where Daniel R. Knight may publish in the future.

Co-authorship network of co-authors of Daniel R. Knight

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Knight. A scholar is included among the top collaborators of Daniel R. Knight 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 Daniel R. Knight. Daniel R. Knight 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.
Lee, Terence, Daniel R. Knight, David Speers, et al.. (2024). Correlating Quantitative and Genomic SARS-CoV-2 Wastewater Data with Clinical Metrics in Metropolitan Perth, Western Australia. Environments. 11(4). 62–62.
2.
Knight, Daniel R., et al.. (2023). Genomic Analysis of Clostridioides difficile Recovered from Horses in Western Australia. Microorganisms. 11(7). 1743–1743. 4 indexed citations
3.
Imwattana, Korakrit, Papanin Putsathit, Deirdre A. Collins, et al.. (2022). Global evolutionary dynamics and resistome analysis of Clostridioides difficile ribotype 017. Microbial Genomics. 8(3). 9 indexed citations
4.
Imwattana, Korakrit, César Rodríguez, Thomas V. Riley, & Daniel R. Knight. (2021). A species-wide genetic atlas of antimicrobial resistance in Clostridioides difficile. Microbial Genomics. 7(11). 20 indexed citations
6.
Putsathit, Papanin, Narelle George, Tony M. Korman, et al.. (2021). Antimicrobial resistance surveillance of Clostridioides difficile in Australia, 2015–18. Journal of Antimicrobial Chemotherapy. 76(7). 1815–1821. 16 indexed citations
7.
Knight, Daniel R., Korakrit Imwattana, Brian Kullin, et al.. (2021). Major genetic discontinuity and novel toxigenic species in Clostridioides difficile taxonomy. eLife. 10. 61 indexed citations
8.
Imwattana, Korakrit, Papanin Putsathit, Daniel R. Knight, Pattarachai Kiratisin, & Thomas V. Riley. (2021). Molecular Characterization of, and Antimicrobial Resistance in, Clostridioides difficile from Thailand, 2017–2018. Australasian Journal of Paramedicine. 27(11). 1505–1512. 14 indexed citations
9.
Putsathit, Papanin, Katherine A. Hammer, Steven M. Wales, et al.. (2019). Cationic biaryl 1,2,3-triazolyl peptidomimetic amphiphiles: synthesis, antibacterial evaluation and preliminary mechanism of action studies. European Journal of Medicinal Chemistry. 168. 386–404. 29 indexed citations
10.
Lim, Su‐Chen, Daniel R. Knight, & Thomas V. Riley. (2019). Clostridium difficile and One Health. Clinical Microbiology and Infection. 26(7). 857–863. 108 indexed citations
11.
Knight, Daniel R., et al.. (2018). Spectrum of antibacterial activity and mode of action of a novel tris-stilbene bacteriostatic compound. Scientific Reports. 8(1). 6912–6912. 14 indexed citations
12.
Knight, Daniel R. & Thomas V. Riley. (2016). Clostridium difficileclade 5 in Australia: antimicrobial susceptibility profiling of PCR ribotypes of human and animal origin. Journal of Antimicrobial Chemotherapy. 71(8). 2213–2217. 25 indexed citations
13.
Putsathit, Papanin, Daniel R. Knight, Michele M. Squire, et al.. (2015). Persistence of Clostridium difficile RT 237 infection in a Western Australian piggery. Anaerobe. 37. 62–66. 21 indexed citations
14.
Morrissey, Ian, Marco R. Oggioni, Daniel R. Knight, et al.. (2014). Evaluation of Epidemiological Cut-Off Values Indicates that Biocide Resistant Subpopulations Are Uncommon in Natural Isolates of Clinically-Relevant Microorganisms. PLoS ONE. 9(1). e86669–e86669. 146 indexed citations
15.
Putsathit, Papanin, et al.. (2014). Clostridium difficile infection diagnosis in a paediatric population: comparison of methodologies. European Journal of Clinical Microbiology & Infectious Diseases. 33(9). 1555–1564. 20 indexed citations
16.
Furi, Leonardo, Maria Laura Ciusa, Daniel R. Knight, et al.. (2013). Evaluation of Reduced Susceptibility to Quaternary Ammonium Compounds and Bisbiguanides in Clinical Isolates and Laboratory-Generated Mutants of Staphylococcus aureus. Antimicrobial Agents and Chemotherapy. 57(8). 3488–3497. 93 indexed citations
17.
Coelho, Joana Rosado, João André Carriço, Daniel R. Knight, et al.. (2013). The Use of Machine Learning Methodologies to Analyse Antibiotic and Biocide Susceptibility in Staphylococcus aureus. PLoS ONE. 8(2). e55582–e55582. 36 indexed citations
18.
Grinberg, Alex, et al.. (2005). The occurrence of Cryptosporidium parvum, Campylobacter and Salmonella in newborn dairy calves in the Manawatu region of New Zealand. New Zealand Veterinary Journal. 53(5). 315–320. 27 indexed citations
19.
Casu, Rosanne E., Christine M. Dimmock, Neil I. Bower, et al.. (2001). Genetic and expression profiling in sugarcane. Queensland's institutional digital repository (The University of Queensland). 542–546. 19 indexed citations
20.
Byard, Roger W., Daniel R. Knight, Rosemary James, & John D. Gilbert. (1999). Murder-Suicides Involving Children. American Journal of Forensic Medicine & Pathology. 20(4). 323–327. 73 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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