Leanne Dierens
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- General Dentistry top 5%
Papers in
-
- Aquaculture Nutrition and Growth 5
- Genetics 10
- Genetic diversity and population structure 9
- Genetic and phenotypic traits in livestock 5
- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- Masaaki KitajimaAaron BivinsWendy SmithJulian ZauggJake O’BrienKyle BibbyNicola AngelStuart L. Simpson
In The Last Decade
Leanne Dierens
17 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Infectious Diseases 1.1k
- General Dentistry 51
- Aquatic Science 170
- Modeling and Simulation 97
- Biomedical Engineering 555
Countries citing papers authored by Leanne Dierens
This map shows the geographic impact of Leanne Dierens'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 Leanne Dierens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leanne Dierens more than expected).
Fields of papers citing papers by Leanne Dierens
This network shows the impact of papers produced by Leanne Dierens. 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 Leanne Dierens. The network helps show where Leanne Dierens may publish in the future.
Co-authors
The 25 scholars most cited alongside Leanne Dierens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | First confirmed detection of SARS-CoV-2 in untreated wastewater in Australia: A proof of concept for the wastewater surveillance of COVID-19 in the community Hit paper breakdown → | 2020 | 1292 |
| 2 | 2019 | 9 | |
| 3 | 2014 | 20 | |
| 4 | 2014 | 15 | |
| 5 | 2014 | 4 | |
| 6 | 2012 | 40 | |
| 7 | 2012 | 37 | |
| 8 | 2009 | 14 | |
| 9 | 2008 | 37 | |
| 10 | 2007 | 44 | |
| 11 | 2007 | 25 | |
| 12 | 2007 | 6 | |
| 13 | 2006 | 34 | |
| 14 | 2005 | 15 | |
| 15 | 2003 | 4 | |
| 16 | 1996 | 12 | |
| 17 | 1995 | 23 |
About Leanne Dierens
Leanne Dierens is a scholar working on Aquatic Science, Genetics, Physiology, Ecology and Nature and Landscape Conservation, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic diversity and population structure (9 papers), Genetic and phenotypic traits in livestock (5 papers), Aquaculture Nutrition and Growth (5 papers), Crustacean biology and ecology (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Biofuel production and bioconversion (2 papers), Fungal and yeast genetics research (2 papers) and Fish Ecology and Management Studies (2 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), General Dentistry (51 citations), Aquatic Science (170 citations), Modeling and Simulation (97 citations) and Biomedical Engineering (555 citations). Leanne Dierens has collaborated with scholars based in Australia, Thailand and India. Frequent co-authors include Masaaki Kitajima, Aaron Bivins, Wendy Smith, Julian Zaugg, Jake O’Brien, Kyle Bibby, Nicola Angel, Stuart L. Simpson, Kevin V. Thomas and Phil M. Choi. Their work appears in journals such as Aquaculture, Genetics Selection Evolution, Applied Microbiology and Biotechnology, Journal of Biotechnology and Ecology and Evolution.
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.