Hail M. Al-Abdely
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility 14
- SARS-CoV-2 and COVID-19 Research 11
- COVID-19 Clinical Research Studies 6
- Microbiology top 5%
- Epidemiology top 5%
- Fungal Infections and Studies 14
- Mycobacterium research and diagnosis 7
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 7
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- Animal Virus Infections Studies 4
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- Infectious Diseases and Mycology 4
- Co-authors
- William GreerMichael EllisW.P. VenturaAmy L. SandridgeJohn R. GraybillDavid LoebenbergAbdulrahman A. AlrajhiJaffar A. Al‐Tawfiq
- Journals
- Clinical Infectious Diseases (4 papers)Journal of Clinical Microbiology (2 papers)Antimicrobial Agents and Chemotherapy (4 papers)
- Partner nations
- Saudi ArabiaUnited StatesQatar
In The Last Decade
Hail M. Al-Abdely
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 1.1k
- Applied Microbiology and Biotechnology 71
- Microbiology 26
- Epidemiology 905
- Modeling and Simulation 102
Countries citing papers authored by Hail M. Al-Abdely
This map shows the geographic impact of Hail M. Al-Abdely'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 Hail M. Al-Abdely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hail M. Al-Abdely more than expected).
Fields of papers citing papers by Hail M. Al-Abdely
This network shows the impact of papers produced by Hail M. Al-Abdely. 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 Hail M. Al-Abdely. The network helps show where Hail M. Al-Abdely may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hail M. Al-Abdely, 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 | 2023 | 4 | |
| 2 | 2021 | 14 | |
| 3 | 2021 | 16 | |
| 4 | 2019 | 4 | |
| 5 | 2019 | 10 | |
| 6 | 2019 | 45 | |
| 7 | 2018 | 42 | |
| 8 | 2017 | 22 | |
| 9 | An outbreak of Middle East Respiratory Syndrome (MERS) due to coronavirus in Al-Ahssa Region, Saudi Arabia, 2015. | 2016 | 16 |
| 10 | 2016 | 9 | |
| 11 | 2015 | 20 | |
| 12 | 2013 | 19 | |
| 13 | 2013 | 28 | |
| 14 | 2006 | 3 | |
| 15 | 2006 | 8 | |
| 16 | 2004 | 28 | |
| 17 | 2004 | 33 | |
| 18 | 2001 | 336 | |
| 19 | 2000 | 39 | |
| 20 | 1993 | 3 |
About Hail M. Al-Abdely
Hail M. Al-Abdely is a scholar working on Infectious Diseases, Modeling and Simulation and Microbiology, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (14 papers), Fungal Infections and Studies (14 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Mycobacterium research and diagnosis (7 papers), COVID-19 epidemiological studies (7 papers), COVID-19 Clinical Research Studies (6 papers), Animal Virus Infections Studies (4 papers) and Infectious Diseases and Mycology (4 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Applied Microbiology and Biotechnology (71 citations) and Microbiology (26 citations). Hail M. Al-Abdely has collaborated with scholars based in Saudi Arabia, United States and Qatar. Frequent co-authors include William Greer, Michael Ellis, W.P. Ventura, Amy L. Sandridge, John R. Graybill, David Loebenberg, Abdulrahman A. Alrajhi, Jaffar A. Al‐Tawfiq, Michael G. Rinaldi and Peter C. Melby. Their work appears in journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.
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.