Farida Al Hosani
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 6
- Viral gastroenteritis research and epidemiology 2
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 4
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 4
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- Vaccine Coverage and Hesitancy 3
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- Patient Satisfaction in Healthcare 3
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- Telemedicine and Telehealth Implementation 3
- Co-authors
- Susan I. GerberYing TaoSuxiang TongLaila AbdelWarethMaureen G. MetcalfeDianna NgNegar Niki AlamiLia M. Haynes
- Journals
- PLoS ONE (2 papers)American Journal Of Pathology (1 paper)Emerging infectious diseases (2 papers)
- Partner nations
- United Arab EmiratesUnited StatesUnited Kingdom
In The Last Decade
Farida Al Hosani
18 papers receiving 575 citations
Peers
Comparison fields: 5 of 92
- Infectious Diseases 418
- Modeling and Simulation 74
- Animal Science and Zoology 94
- Neurology 89
- Health 36
Countries citing papers authored by Farida Al Hosani
This map shows the geographic impact of Farida Al Hosani'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 Farida Al Hosani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farida Al Hosani more than expected).
Fields of papers citing papers by Farida Al Hosani
This network shows the impact of papers produced by Farida Al Hosani. 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 Farida Al Hosani. The network helps show where Farida Al Hosani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Farida Al Hosani, 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 | 2024 | 2 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 33 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 34 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 5 | |
| 11 | 2019 | 21 | |
| 12 | 2017 | 30 | |
| 13 | 2016 | 16 | |
| 14 | 2016 | 288 | |
| 15 | 2016 | 34 | |
| 16 | 2015 | 59 | |
| 17 | 2012 | 7 | |
| 18 | 2012 | 5 |
About Farida Al Hosani
Farida Al Hosani is a scholar working on Modeling and Simulation, Infectious Diseases and Animal Science and Zoology, having authored 18 papers that have together received 591 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (6 papers), COVID-19 epidemiological studies (4 papers), Animal Virus Infections Studies (4 papers), Patient Satisfaction in Healthcare (3 papers), Telemedicine and Telehealth Implementation (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (418 citations), Modeling and Simulation (74 citations) and Animal Science and Zoology (94 citations). Farida Al Hosani has collaborated with scholars based in United Arab Emirates, United States and United Kingdom. Frequent co-authors include Susan I. Gerber, Ying Tao, Suxiang Tong, Laila AbdelWareth, Maureen G. Metcalfe, Dianna Ng, Negar Niki Alami, Lia M. Haynes, Tara L. Jones and David L. Swerdlow. Their work appears in journals such as PLoS ONE, American Journal Of Pathology and Emerging infectious diseases.
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.