Malet Aban
Impact in
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- Influenza Virus Research Studies
- Respiratory viral infections research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Influenza Virus Research Studies 9
- Respiratory viral infections research 4
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- Immune Response and Inflammation 2
- Co-authors
- Ian Barr (6 shared papers)Aeron C. Hurt (3 shared papers)Nikolai Petrovsky (1 shared paper)Dimitar Sajkov (1 shared paper)Samuel Wilks (1 shared paper)Yoshikazu Honda‐Okubo (1 shared paper)Louise Carolan (3 shared papers)Karen Laurie (3 shared papers)
- Journals
- Journal of Virology (3 papers)Vaccine (2 papers)Nature Communications (1 paper)The Journal of Infectious Diseases (1 paper)EBioMedicine (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Malet Aban
10 papers receiving 274 citations
Peers
Comparison fields: 5 of 43
- Epidemiology 188
- Modeling and Simulation 27
- Infectious Diseases 95
- Immunology 65
- Agronomy and Crop Science 26
Countries citing papers authored by Malet Aban
This map shows the geographic impact of Malet Aban'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 Malet Aban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malet Aban more than expected).
Fields of papers citing papers by Malet Aban
This network shows the impact of papers produced by Malet Aban. 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 Malet Aban. The network helps show where Malet Aban may publish in the future.
Co-authors
The 25 scholars most cited alongside Malet Aban, 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 | 2015 | 84 | |
| 2 | 2019 | 66 | |
| 3 | 2016 | 53 | |
| 4 | 2016 | 35 | |
| 5 | 2019 | 16 | |
| 6 | 2024 | 9 | |
| 7 | 2021 | 9 | |
| 8 | The time-interval between infections and viral hierarchies are determinants of viral interference following influenza virus infection in a ferret model | 2016 | 3 |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 |
About Malet Aban
Malet Aban is a scholar working on Epidemiology, Immunology, Infectious Diseases, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 277 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Respiratory viral infections research (4 papers), Immune Response and Inflammation (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Plant Virus Research Studies (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), COVID-19 epidemiological studies (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Epidemiology (188 citations), Modeling and Simulation (27 citations), Infectious Diseases (95 citations), Immunology (65 citations) and Agronomy and Crop Science (26 citations). Malet Aban has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Ian Barr, Aeron C. Hurt, Nikolai Petrovsky, Dimitar Sajkov, Samuel Wilks, Yoshikazu Honda‐Okubo, Louise Carolan, Karen Laurie, David Gordon and Pengxing Cao. Their work appears in journals such as Journal of Virology, Vaccine, Nature Communications, The Journal of Infectious Diseases and EBioMedicine.
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.