Farida Al Hosani

1.2k citations
18 papers · 591 indexed · h-index 11
Topics
SARS-CoV-2 and COVID-19 Research (8 papers)COVID-19 Clinical Research Studies (6 papers)COVID-19 epidemiological studies (4 papers)

In The Last Decade

Farida Al Hosani

18 papers receiving 575 citations

Peers

Farida Al Hosani
Comparison fields: 5 of 92
  • Infectious Diseases 418
  • Animal Science and Zoology 94
  • Neurology 89
  • Public Health, Environmental and Occupational Health 79
  • Modeling and Simulation 74
Replace Abdullatif Al Khal with:
Abdullatif Al Khal Qatar
Abdullah J. Alsahafi Saudi Arabia
Nancy Bellei Brazil
Marie E. Killerby United States
Krutika Kuppalli United States
María Saavedra-Campos United Kingdom
Amgad Elkholy Egypt
Nan-Chang Chiu Taiwan
Hester E. de Melker Netherlands
Ian D. Plumb United States
Farida Al Hosani relative to Abdullatif Al Khal Qatar Abdullatif Al Khal's profile →
Citations per field
00.5×1.5×
Abdullatif Al Khal · 1×
Citations per year

Countries citing papers authored by Farida Al Hosani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Farida Al Hosani

This figure shows the co-authorship network connecting the top 25 collaborators of Farida Al Hosani. A scholar is included among the top collaborators of Farida Al Hosani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Farida Al Hosani. Farida Al Hosani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 6
3 10
4 33
5 12
6 9
7 19
8 34
9 1
10 5
11 21
12 30
13 16
14 288
15 34
16 59
17 7
18 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) and COVID-19 epidemiological studies (4 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.

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