Lisa McCallum
- Microbiology top 2%
- Bacterial Infections and Vaccines 4
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- Influenza Virus Research Studies 7
- Respiratory viral infections research 6
- Pneumonia and Respiratory Infections 6
- Biotechnology top 10%
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 2
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- Salmonella and Campylobacter epidemiology 2
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- Viral gastroenteritis research and epidemiology 1
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- Bacteriophages and microbial interactions 1
- Co-authors
- Philipp OsterDiana MartinJane O’HallahanMuriel DufourDon BandaranayakeShevaun PaineVirginia HopeDonald Campbell
- Journals
- Vaccine (2 papers)BJOG An International Journal of Obstetrics & Gynaecology (1 paper)European Journal of Neurology (1 paper)
- Partner nations
- AustraliaNew ZealandItaly
In The Last Decade
Lisa McCallum
15 papers receiving 337 citations
Peers
Comparison fields: 5 of 59
- Microbiology 175
- Epidemiology 245
- Biotechnology 49
- Modeling and Simulation 21
- Endocrinology 22
Countries citing papers authored by Lisa McCallum
This map shows the geographic impact of Lisa McCallum'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 Lisa McCallum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa McCallum more than expected).
Fields of papers citing papers by Lisa McCallum
This network shows the impact of papers produced by Lisa McCallum. 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 Lisa McCallum. The network helps show where Lisa McCallum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lisa McCallum, 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 | 2024 | 2 | |
| 2 | 2019 | 11 | |
| 3 | 2018 | 17 | |
| 4 | 2017 | 3 | |
| 5 | 2017 | 26 | |
| 6 | 2015 | 9 | |
| 7 | 2013 | 61 | |
| 8 | 2013 | 7 | |
| 9 | 2010 | 8 | |
| 10 | An outbreak of Salmonella typhimurium phage type 1 associated with watermelon in Gisborne, January 2009. | 2010 | 4 |
| 11 | 2008 | 23 | |
| 12 | 2007 | 10 | |
| 13 | 2007 | 48 | |
| 14 | 2006 | 93 | |
| 15 | 2005 | 30 |
About Lisa McCallum
Lisa McCallum is a scholar working on Microbiology, Modeling and Simulation and Epidemiology, having authored 15 papers that have together received 352 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (6 papers), Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (4 papers), Salmonella and Campylobacter epidemiology (2 papers), COVID-19 epidemiological studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Microbiology (175 citations), Epidemiology (245 citations) and Biotechnology (49 citations). Lisa McCallum has collaborated with scholars based in Australia, New Zealand and Italy. Frequent co-authors include Philipp Oster, Diana Martin, Jane O’Hallahan, Muriel Dufour, Don Bandaranayake, Shevaun Paine, Virginia Hope, Donald Campbell, Kristin Dyet and Peter McIntyre. Their work appears in journals such as Vaccine, BJOG An International Journal of Obstetrics & Gynaecology and European Journal of Neurology.
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.