Matthew O’Sullivan
- Infectious Diseases top 1%
- Clinical Biochemistry top 0.5%
- Molecular Biology
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Gwendolyn L. GilbertJames O. RobinsonBenjamin P. HowdenVitali SintchenkoFanrong KongPaul D. R. JohnsonTony M. KormanJohn Turnidge
- Topics
- Antimicrobial Resistance in Staphylococcus (29 papers)Bacterial Identification and Susceptibility Testing (26 papers)SARS-CoV-2 and COVID-19 Research (12 papers)
- Partner nations
- AustraliaChinaUnited Kingdom
In The Last Decade
Matthew O’Sullivan
68 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 1.2k
- Clinical Biochemistry 563
- Molecular Biology 381
- Epidemiology 362
- Public Health, Environmental and Occupational Health 263
Countries citing papers authored by Matthew O’Sullivan
This map shows the geographic impact of Matthew O’Sullivan'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 O’Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew O’Sullivan more than expected).
Fields of papers citing papers by Matthew O’Sullivan
This network shows the impact of papers produced by Matthew O’Sullivan. 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 O’Sullivan. The network helps show where Matthew O’Sullivan may publish in the future.
Co-authorship network of co-authors of Matthew O’Sullivan
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew O’Sullivan. A scholar is included among the top collaborators of Matthew O’Sullivan 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 O’Sullivan. Matthew O’Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 30 | |
| 6 | 21 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 74 | |
| 11 | Clinical characteristics and factors associated with severity in patients admitted with SARS-CoV-2 infection | 1 |
| 12 | 27 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 30 | |
| 16 | Combination of Vancomycin and β-Lactam Therapy for Methicillin-Resistant Staphylococcus aureus Bacteremia: A Pilot Multicenter Randomized Controlled Trial | 2 |
| 17 | 10 | |
| 18 | 18 | |
| 19 | 7 | |
| 20 | 85 |
About Matthew O’Sullivan
Matthew O’Sullivan is a scholar working on Clinical Biochemistry, Infectious Diseases and Microbiology, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (29 papers), Bacterial Identification and Susceptibility Testing (26 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). The work is most often cited by research in Clinical Biochemistry (563 citations), Infectious Diseases (1.2k citations) and Applied Microbiology and Biotechnology (57 citations). Matthew O’Sullivan has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Gwendolyn L. Gilbert, James O. Robinson, Benjamin P. Howden, Vitali Sintchenko, Fanrong Kong, Paul D. R. Johnson, Tony M. Korman, John Turnidge, Wei Gao and Wendy Munckhof. Their work appears in journals such as Blood, PLoS ONE and Clinical Infectious Diseases.
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.