Sameera Pathirannehelage
Impact in
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- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
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- Vaccine Coverage and Hesitancy
Papers in
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- Influenza Virus Research Studies 6
- Data-Driven Disease Surveillance 3
- Respiratory viral infections research 2
- Pneumonia and Respiratory Infections 1
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- Pharmacovigilance and Adverse Drug Reactions 2
- Co-authors
- Simon de Lusignan (9 shared papers)Ivelina Yonova (8 shared papers)Alex J. Elliot (5 shared papers)Rachel Byford (8 shared papers)Gillian Smith (4 shared papers)Richard Pebody (4 shared papers)Filipa Ferreira (5 shared papers)Simon Jones (4 shared papers)
- Journals
- JMIR Public Health and Surveillance (2 papers)Human Vaccines & Immunotherapeutics (2 papers)Eurosurveillance (2 papers)Diabetic Medicine (1 paper)Osteoporosis International (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Sameera Pathirannehelage
11 papers receiving 322 citations
Peers
Comparison fields: 5 of 57
- Epidemiology 173
- Health 32
- Modeling and Simulation 16
- Infectious Diseases 47
- Endocrinology, Diabetes and Metabolism 20
Countries citing papers authored by Sameera Pathirannehelage
This map shows the geographic impact of Sameera Pathirannehelage'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 Sameera Pathirannehelage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameera Pathirannehelage more than expected).
Fields of papers citing papers by Sameera Pathirannehelage
This network shows the impact of papers produced by Sameera Pathirannehelage. 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 Sameera Pathirannehelage. The network helps show where Sameera Pathirannehelage may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameera Pathirannehelage, 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 | 101 | |
| 2 | 2016 | 81 | |
| 3 | 2018 | 34 | |
| 4 | 2018 | 29 | |
| 5 | 2016 | 18 | |
| 6 | 2019 | 18 | |
| 7 | 2020 | 16 | |
| 8 | 2018 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2019 | 3 | |
| 11 | 2019 | 2 |
About Sameera Pathirannehelage
Sameera Pathirannehelage is a scholar working on Epidemiology, Toxicology, Molecular Biology, Health and Speech and Hearing, having authored 11 papers that have together received 326 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Data-Driven Disease Surveillance (3 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Respiratory viral infections research (2 papers), Vaccine Coverage and Hesitancy (1 paper), Biomedical Text Mining and Ontologies (1 paper), School Health and Nursing Education (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Epidemiology (173 citations), Health (32 citations), Modeling and Simulation (16 citations), Infectious Diseases (47 citations) and Endocrinology, Diabetes and Metabolism (20 citations). Sameera Pathirannehelage has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Simon de Lusignan, Ivelina Yonova, Alex J. Elliot, Rachel Byford, Gillian Smith, Richard Pebody, Filipa Ferreira, Simon Jones, Maria Zambon and Matthew Donati. Their work appears in journals such as JMIR Public Health and Surveillance, Human Vaccines & Immunotherapeutics, Eurosurveillance, Diabetic Medicine and Osteoporosis International.
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.