Abdullah M. Izmirly
- Infectious Diseases
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Immunology
- Computational Theory and Mathematics
- Co-authors
- Jennifer ConnorsElias K. HaddadGina CusimanoMichele A. KutzlerAbdulelah AljuaidSoukayna BaammiMazen AlmehmadiMuhammad Shahab
- Topics
- Viral Infections and Vectors (3 papers)Mosquito-borne diseases and control (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- Saudi ArabiaUnited StatesBrazil
In The Last Decade
Abdullah M. Izmirly
6 papers receiving 131 citations
Peers
Comparison fields: 5 of 51
- Infectious Diseases 86
- Public Health, Environmental and Occupational Health 51
- Molecular Biology 24
- Immunology 22
- Computational Theory and Mathematics 13
Countries citing papers authored by Abdullah M. Izmirly
This map shows the geographic impact of Abdullah M. Izmirly'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 Abdullah M. Izmirly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah M. Izmirly more than expected).
Fields of papers citing papers by Abdullah M. Izmirly
This network shows the impact of papers produced by Abdullah M. Izmirly. 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 Abdullah M. Izmirly. The network helps show where Abdullah M. Izmirly may publish in the future.
Co-authorship network of co-authors of Abdullah M. Izmirly
This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah M. Izmirly. A scholar is included among the top collaborators of Abdullah M. Izmirly 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 Abdullah M. Izmirly. Abdullah M. Izmirly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | Screening of four signature genes for clinical testing through bioinformatics and in vitro methods in head and neck squamous cell carcinoma. | 3 |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 54 | |
| 7 | 48 |
About Abdullah M. Izmirly
Abdullah M. Izmirly is a scholar working on Infectious Diseases, Biotechnology and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 134 indexed citations. Recurring topics across this work include Viral Infections and Vectors (3 papers), Mosquito-borne diseases and control (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (86 citations), Public Health, Environmental and Occupational Health (51 citations) and Modeling and Simulation (8 citations). Abdullah M. Izmirly has collaborated with scholars based in Saudi Arabia, United States and Brazil. Frequent co-authors include Jennifer Connors, Elias K. Haddad, Gina Cusimano, Michele A. Kutzler, Elias K. Haddad, Abdulelah Aljuaid, Soukayna Baammi, Mazen Almehmadi, Muhammad Shahab and Khadijah M. Al‐Zaydi. Their work appears in journals such as Frontiers in Immunology, Molecules and PLoS Pathogens.
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.