Mohana Kunasekaran
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 14
- Virology top 10%
- Poxvirus research and outbreaks 10
- Health Informatics top 10%
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research 8
- SARS-CoV-2 and COVID-19 Research 5
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- Vaccine Coverage and Hesitancy 6
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- Influenza Virus Research Studies 10
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- Bacillus and Francisella bacterial research 10
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- Infection Control and Ventilation 9
- Co-authors
- C. Raina MacIntyreAbrar Ahmad ChughtaiValentina CostantinoXin ChenAshley QuigleyDavid HeslopAye MoaWilliam D. Rawlinson
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Mohana Kunasekaran
44 papers receiving 394 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 91
- Virology 79
- Health Informatics 18
- Infectious Diseases 118
- Health 48
Countries citing papers authored by Mohana Kunasekaran
This map shows the geographic impact of Mohana Kunasekaran'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 Mohana Kunasekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohana Kunasekaran more than expected).
Fields of papers citing papers by Mohana Kunasekaran
This network shows the impact of papers produced by Mohana Kunasekaran. 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 Mohana Kunasekaran. The network helps show where Mohana Kunasekaran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohana Kunasekaran, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 25 | |
| 5 | 2024 | 29 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | Artificial intelligence in public health: the potential of epidemic early warning systemsbreakdown → | 2023 | 64 |
| 10 | 2023 | 10 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 21 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2019 | 20 | |
| 18 | 2019 | 16 | |
| 19 | 2018 | 1 | |
| 20 | 2018 | 13 |
About Mohana Kunasekaran
Mohana Kunasekaran is a scholar working on Modeling and Simulation, Virology and Infectious Diseases, having authored 52 papers that have together received 421 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (14 papers), Influenza Virus Research Studies (10 papers), Bacillus and Francisella bacterial research (10 papers), Poxvirus research and outbreaks (10 papers), Infection Control and Ventilation (9 papers), Viral Infections and Outbreaks Research (8 papers), Vaccine Coverage and Hesitancy (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Modeling and Simulation (91 citations), Virology (79 citations) and Health Informatics (18 citations). Mohana Kunasekaran has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include C. Raina MacIntyre, Abrar Ahmad Chughtai, Valentina Costantino, Xin Chen, Ashley Quigley, David Heslop, Aye Moa, William D. Rawlinson, Holly Seale and Christopher J. Poulos. Their work appears in journals such as Vaccine, Human Vaccines & Immunotherapeutics, Public Health, Western Pacific surveillance response journal and Ageing Research Reviews.
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.