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
- Epidemiology 10
- Influenza Virus Research Studies 10
- Respiratory viral infections research 4
-
- Immune Response and Inflammation 2
- Co-authors
- Ian Barr (6 shared papers)Aeron C. Hurt (3 shared papers)Nikolai Petrovsky (1 shared paper)David Gordon (1 shared paper)Dimitar Sajkov (1 shared paper)Yoshikazu Honda‐Okubo (1 shared paper)Karen Laurie (3 shared papers)Louise A. Carolan (3 shared papers)
- Journals
- Journal of Virology (3 papers)Vaccine (2 papers)EBioMedicine (1 paper)The Journal of Infectious Diseases (1 paper)Nature Communications (1 paper)
- Partner nations
- AustraliaUnited StatesChile
In The Last Decade
Malet Aban
11 papers receiving 294 citations
Peers
Comparison fields: 5 of 48
- Epidemiology 199
- Modeling and Simulation 29
- Infectious Diseases 104
- Immunology 68
- Agronomy and Crop Science 28
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 | 85 | |
| 2 | 2019 | 69 | |
| 3 | 2016 | 54 | |
| 4 | 2016 | 47 | |
| 5 | 2019 | 21 | |
| 6 | 2024 | 11 | |
| 7 | 2021 | 11 | |
| 8 | 2025 | 3 | |
| 9 | The time-interval between infections and viral hierarchies are determinants of viral interference following influenza virus infection in a ferret model | 2016 | 3 |
| 10 | 2026 | 1 | |
| 11 | 2025 | 1 |
About Malet Aban
Malet Aban is a scholar working on Epidemiology, Immunology, Modeling and Simulation, Animal Science and Zoology and Hematology, having authored 11 papers that have together received 306 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Respiratory viral infections research (4 papers), Immune Response and Inflammation (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Animal Virus Infections Studies (1 paper), COVID-19 epidemiological studies (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Epidemiology (199 citations), Modeling and Simulation (29 citations), Infectious Diseases (104 citations), Immunology (68 citations) and Agronomy and Crop Science (28 citations). Malet Aban has collaborated with scholars based in Australia, United States and Chile. Frequent co-authors include Ian Barr, Aeron C. Hurt, Nikolai Petrovsky, David Gordon, Dimitar Sajkov, Yoshikazu Honda‐Okubo, Karen Laurie, Louise A. Carolan, Samuel Wilks and Pengxing Cao. Their work appears in journals such as Journal of Virology, Vaccine, EBioMedicine, 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.