Laila Layqah
- Infectious Diseases top 5%
- Biomedical Engineering
- Molecular Biology
- Epidemiology
- Animal Science and Zoology top 10%
- Co-authors
- Shimaa EissaSalim BaharoonAhmad BokhariJingxian ZhaoJincun ZhaoAbeer N. AlshukairiStanley PerlmanAtef Nehdi
- Topics
- Pharmaceutical Practices and Patient Outcomes (4 papers)COVID-19 Clinical Research Studies (3 papers)Tuberculosis Research and Epidemiology (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsmBio
- Partner nations
- Saudi ArabiaUnited StatesAustralia
In The Last Decade
Laila Layqah
24 papers receiving 694 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Infectious Diseases 538
- Biomedical Engineering 215
- Molecular Biology 195
- Epidemiology 87
- Animal Science and Zoology 58
Countries citing papers authored by Laila Layqah
This map shows the geographic impact of Laila Layqah'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 Laila Layqah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laila Layqah more than expected).
Fields of papers citing papers by Laila Layqah
This network shows the impact of papers produced by Laila Layqah. 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 Laila Layqah. The network helps show where Laila Layqah may publish in the future.
Co-authorship network of co-authors of Laila Layqah
This figure shows the co-authorship network connecting the top 25 collaborators of Laila Layqah. A scholar is included among the top collaborators of Laila Layqah 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 Laila Layqah. Laila Layqah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | An electrochemical immunosensor for the corona virus associated with the Middle East respiratory syndrome using an array of gold nanoparticle-modified carbon electrodesbreakdown → | 300 |
| 16 | 5 | |
| 17 | 27 | |
| 18 | 4 | |
| 19 | 85 | |
| 20 | 188 |
About Laila Layqah
Laila Layqah is a scholar working on Geriatrics and Gerontology, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 27 papers that have together received 712 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (4 papers), COVID-19 Clinical Research Studies (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (538 citations), Modeling and Simulation (55 citations) and Animal Science and Zoology (58 citations). Laila Layqah has collaborated with scholars based in Saudi Arabia, United States and Australia. Frequent co-authors include Shimaa Eissa, Salim Baharoon, Ahmad Bokhari, Jingxian Zhao, Jincun Zhao, Abeer N. Alshukairi, Stanley Perlman, Atef Nehdi, Patrick Ten Eyck and Sameera M. Al Johani. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and mBio.
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.