Fedaa Ali
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
-
- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
-
- Computational Drug Discovery Methods 2
- Co-authors
- Muhamed Amin (5 shared papers)Amal Kasry (4 shared papers)Mohamed H. Alkordi (1 shared paper)Samah A. Loutfy (3 shared papers)Elbadawy A. Kamoun (2 shared papers)Rehab Amin (2 shared papers)Mohamed Taha (2 shared papers)Hassan Nageh (2 shared papers)
- Journals
- RSC Advances (2 papers)ACS Omega (2 papers)Biology (1 paper)Applied Materials Today (1 paper)Biochemistry and Biophysics Reports (1 paper)
- Partner nations
- EgyptNetherlandsUnited States
In The Last Decade
Fedaa Ali
10 papers receiving 263 citations
Peers
Comparison fields: 5 of 66
- Infectious Diseases 174
- Computational Theory and Mathematics 29
- Pharmaceutical Science 10
- Molecular Medicine 8
- Biomaterials 21
Countries citing papers authored by Fedaa Ali
This map shows the geographic impact of Fedaa Ali'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 Fedaa Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fedaa Ali more than expected).
Fields of papers citing papers by Fedaa Ali
This network shows the impact of papers produced by Fedaa Ali. 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 Fedaa Ali. The network helps show where Fedaa Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Fedaa Ali, 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 | 2021 | 119 | |
| 2 | 2020 | 31 | |
| 3 | 2021 | 31 | |
| 4 | 2022 | 29 | |
| 5 | 2022 | 26 | |
| 6 | 2020 | 15 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 5 | |
| 9 | 2025 | 1 | |
| 10 | 2021 | 1 |
About Fedaa Ali
Fedaa Ali is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Genetics, Renewable Energy, Sustainability and the Environment and Inorganic Chemistry, having authored 10 papers that have together received 269 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers), Computational Drug Discovery Methods (2 papers), Electrocatalysts for Energy Conversion (2 papers), Metalloenzymes and iron-sulfur proteins (2 papers), Infection Control and Ventilation (1 paper), Scientific and Engineering Research Topics (1 paper) and COVID-19 impact on air quality (1 paper). The work is most often cited by research in Infectious Diseases (174 citations), Computational Theory and Mathematics (29 citations), Pharmaceutical Science (10 citations), Molecular Medicine (8 citations) and Biomaterials (21 citations). Fedaa Ali has collaborated with scholars based in Egypt, Netherlands and United States. Frequent co-authors include Muhamed Amin, Amal Kasry, Mohamed H. Alkordi, Samah A. Loutfy, Elbadawy A. Kamoun, Rehab Amin, Mohamed Taha, Hassan Nageh, Ahmed A. Maarouf and Ahmed Mostafa. Their work appears in journals such as RSC Advances, ACS Omega, Biology, Applied Materials Today and Biochemistry and Biophysics Reports.
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.