Malet Aban
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
-
- Influenza Virus Research Studies 9
- Respiratory viral infections research 7
-
- Immune Response and Inflammation 2
- T-cell and B-cell Immunology 1
- Co-authors
- Ian Barr (6 shared papers)Aeron C. Hurt (3 shared papers)David Gordon (1 shared paper)Samuel Wilks (1 shared paper)Dimitar Sajkov (1 shared paper)Yoshikazu Honda‐Okubo (1 shared paper)Nikolai Petrovsky (1 shared paper)Pengxing Cao (2 shared papers)
- Journals
- Journal of Virology (3 papers)Vaccine (2 papers)European Journal of Immunology (1 paper)The Journal of Infectious Diseases (1 paper)Nature Communications (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Malet Aban
9 papers receiving 268 citations
Peers
Comparison fields: 5 of 45
- Modeling and Simulation 32
- Infectious Diseases 109
- Epidemiology 194
- Immunology 70
- Agronomy and Crop Science 27
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 | 83 | |
| 2 | 2019 | 64 | |
| 3 | 2016 | 53 | |
| 4 | 2016 | 33 | |
| 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 | 0 |
About Malet Aban
Malet Aban is a scholar working on Epidemiology, Immunology, Infectious Diseases, Agronomy and Crop Science and Animal Science and Zoology, having authored 10 papers that have together received 271 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Respiratory viral infections research (7 papers), Animal Disease Management and Epidemiology (2 papers), Immune Response and Inflammation (2 papers), COVID-19 epidemiological studies (1 paper), Blood groups and transfusion (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Modeling and Simulation (32 citations), Infectious Diseases (109 citations), Epidemiology (194 citations), Immunology (70 citations) and Agronomy and Crop Science (27 citations). Malet Aban has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Ian Barr, Aeron C. Hurt, David Gordon, Samuel Wilks, Dimitar Sajkov, Yoshikazu Honda‐Okubo, Nikolai Petrovsky, Pengxing Cao, Jennifer Mosse and Teagan Guarnaccia. Their work appears in journals such as Journal of Virology, Vaccine, European Journal of Immunology, The Journal of Infectious Diseases and Nature Communications.
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.