Wayne Dimech
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Epidemiology top 10%
- Virology and Viral Diseases
- Respiratory viral infections research
- HIV, Drug Use, Sexual Risk
Papers in ⓘ
-
- Bacterial Identification and Susceptibility Testing 6
- Virology 4
- Co-authors
- Mick N. Mulders (3 shared papers)Michelle Trevisin (3 shared papers)Judy Savige (3 shared papers)Wendy Pollock (3 shared papers)Richard Wong (2 shared papers)Basil Donovan (5 shared papers)Rebecca Guy (5 shared papers)Margaret Hellard (5 shared papers)
- Journals
- Clinical Chemistry and Laboratory Medicine (CCLM) (6 papers)Pathology (5 papers)Journal of Clinical Microbiology (4 papers)Accreditation and Quality Assurance (3 papers)Microbiology Spectrum (2 papers)
- Partner nations
- AustraliaSwitzerlandUnited Kingdom
In The Last Decade
Wayne Dimech
51 papers receiving 725 citations
Peers
Comparison fields: 5 of 98
- Microbiology 91
- Epidemiology 331
- Infectious Diseases 159
- Virology 40
- Physiology 202
Countries citing papers authored by Wayne Dimech
This map shows the geographic impact of Wayne Dimech'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 Wayne Dimech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Dimech more than expected).
Fields of papers citing papers by Wayne Dimech
This network shows the impact of papers produced by Wayne Dimech. 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 Wayne Dimech. The network helps show where Wayne Dimech may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Dimech, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 132 | |
| 2 | 2010 | 49 | |
| 3 | 2018 | 41 | |
| 4 | 2008 | 41 | |
| 5 | 2015 | 34 | |
| 6 | 2024 | 32 | |
| 7 | 2016 | 28 | |
| 8 | 2008 | 25 | |
| 9 | 2007 | 25 | |
| 10 | 2012 | 22 | |
| 11 | 2004 | 20 | |
| 12 | 2014 | 19 | |
| 13 | 2002 | 18 | |
| 14 | 2020 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2006 | 17 | |
| 17 | 1992 | 17 | |
| 18 | 1993 | 17 | |
| 19 | 2014 | 14 | |
| 20 | 2015 | 13 |
About Wayne Dimech
Wayne Dimech is a scholar working on Clinical Biochemistry, Virology, Microbiology, Infectious Diseases and Epidemiology, having authored 54 papers that have together received 754 indexed citations. Recurring topics across this work include Virology and Viral Diseases (10 papers), Clinical Laboratory Practices and Quality Control (9 papers), Hepatitis B Virus Studies (7 papers), Respiratory viral infections research (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Reproductive tract infections research (5 papers), Hepatitis C virus research (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Microbiology (91 citations), Epidemiology (331 citations), Infectious Diseases (159 citations), Virology (40 citations) and Physiology (202 citations). Wayne Dimech has collaborated with scholars based in Australia, Switzerland and United Kingdom. Frequent co-authors include Mick N. Mulders, Michelle Trevisin, Judy Savige, Wendy Pollock, Richard Wong, Basil Donovan, Rebecca Guy, Margaret Hellard, L. Grangeot‐Keros and Christelle Vauloup‐Fellous. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Pathology, Journal of Clinical Microbiology, Accreditation and Quality Assurance and Microbiology Spectrum.
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.