Letisha Aideyan
Impact in
- Epidemiology top 10%
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
- Epidemiology 14
- Respiratory viral infections research 14
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- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Vectors 2
- SARS-CoV-2 detection and testing 1
- Co-authors
- Pedro A. Piedra (15 shared papers)Vasanthi Avadhanula (13 shared papers)Felipe-Andrés Piedra (6 shared papers)Laura Ferlic‐Stark (8 shared papers)Xunyan Ye (7 shared papers)Alan M. Jewell (2 shared papers)Lorena Tapia (2 shared papers)Anne M. Hause (2 shared papers)
- Journals
- Vaccine (4 papers)The Journal of Infectious Diseases (3 papers)Viruses (2 papers)PLoS ONE (2 papers)Journal of Infection (1 paper)
- Partner nations
- United StatesChile
In The Last Decade
Letisha Aideyan
16 papers receiving 314 citations
Peers
Comparison fields: 5 of 42
- Epidemiology 264
- Infectious Diseases 129
- Animal Science and Zoology 32
- Pulmonary and Respiratory Medicine 76
- Modeling and Simulation 6
Countries citing papers authored by Letisha Aideyan
This map shows the geographic impact of Letisha Aideyan'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 Letisha Aideyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Letisha Aideyan more than expected).
Fields of papers citing papers by Letisha Aideyan
This network shows the impact of papers produced by Letisha Aideyan. 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 Letisha Aideyan. The network helps show where Letisha Aideyan may publish in the future.
Co-authors
The 25 scholars most cited alongside Letisha Aideyan, 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 | 2014 | 54 | |
| 2 | 2017 | 41 | |
| 3 | 2014 | 35 | |
| 4 | 2022 | 30 | |
| 5 | 2021 | 23 | |
| 6 | 2021 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2016 | 20 | |
| 9 | 2014 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2018 | 14 | |
| 12 | 2024 | 14 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 |
About Letisha Aideyan
Letisha Aideyan is a scholar working on Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine, Animal Science and Zoology and Genetics, having authored 16 papers that have together received 320 indexed citations. Recurring topics across this work include Respiratory viral infections research (14 papers), Viral gastroenteritis research and epidemiology (4 papers), Tracheal and airway disorders (3 papers), Neonatal Respiratory Health Research (3 papers), Animal Virus Infections Studies (3 papers), Viral Infections and Vectors (2 papers), Infection Control and Ventilation (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Epidemiology (264 citations), Infectious Diseases (129 citations), Animal Science and Zoology (32 citations), Pulmonary and Respiratory Medicine (76 citations) and Modeling and Simulation (6 citations). Letisha Aideyan has collaborated with scholars based in United States and Chile. Frequent co-authors include Pedro A. Piedra, Vasanthi Avadhanula, Felipe-Andrés Piedra, Laura Ferlic‐Stark, Xunyan Ye, Alan M. Jewell, Lorena Tapia, Anne M. Hause, Chad A. Shaw and Roberto P. Garofalo. Their work appears in journals such as Vaccine, The Journal of Infectious Diseases, Viruses, PLoS ONE and Journal of Infection.
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.