Faryal Khamis

4.0k citations
81 papers · 1.0k indexed · h-index 16
Topics
COVID-19 Clinical Research Studies (25 papers)SARS-CoV-2 and COVID-19 Research (18 papers)Long-Term Effects of COVID-19 (11 papers)

In The Last Decade

Faryal Khamis

72 papers receiving 1.0k citations

Peers

Faryal Khamis
Comparison fields: 5 of 133
  • Infectious Diseases 531
  • Clinical Psychology 227
  • Neurology 208
  • Epidemiology 174
  • General Health Professions 131
Replace Neda Pirbonyeh with:
Neda Pirbonyeh Iran
George M. Bwire Tanzania
Fatemeh Javanmardi Iran
Christopher Fuller United Kingdom
Natasha Bagdasarian Singapore
Tarun Bhatnagar India
Ruth Blackburn United Kingdom
Humera Javed Pakistan
Baoping Xu China
Annie Sparrow United States
Faryal Khamis relative to Neda Pirbonyeh Iran Neda Pirbonyeh's profile →
Citations per field
00.5×1.5×2.4×
Neda Pirbonyeh · 1×
Citations per year

Countries citing papers authored by Faryal Khamis

Since Specialization
Citations

This map shows the geographic impact of Faryal Khamis'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 Faryal Khamis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faryal Khamis more than expected).

Fields of papers citing papers by Faryal Khamis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faryal Khamis. 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 Faryal Khamis. The network helps show where Faryal Khamis may publish in the future.

Co-authorship network of co-authors of Faryal Khamis

This figure shows the co-authorship network connecting the top 25 collaborators of Faryal Khamis. A scholar is included among the top collaborators of Faryal Khamis 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 Faryal Khamis. Faryal Khamis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 0
4 8
5 5
6 0
7 29
8 4
9 4
10 5
11 11
12 12
13 1
14 6
15 3
16 18
17 22
18 27
19 59
20 73

About Faryal Khamis

Faryal Khamis is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Molecular Medicine, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (25 papers), SARS-CoV-2 and COVID-19 Research (18 papers) and Long-Term Effects of COVID-19 (11 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (78 citations), Infectious Diseases (531 citations) and Modeling and Simulation (77 citations). Faryal Khamis has collaborated with scholars based in Oman, Saudi Arabia and United States. Frequent co-authors include Ibrahim Al‐Zakwani, Issa Al Salmi, Nenad Pandak, Maher Al Bahrani, Abdallah M. Badahdah, Salah Al Awaidy, Nawal Al Mahyijari, Ziad A. Memish, Muhannad F. Al-Kobaisi and Zaina Al Maskari. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medical Virology and International Journal of Antimicrobial Agents.

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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