Abdo A. Elfiky
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 20
- Viral Infections and Vectors 7
- Hepatology 14
- Hepatitis C virus research 14
- Co-authors
- Ibrahim M. IbrahimWael M. ElshemeyMohammed El-ShahatAlaa M. IsmailAzhar RasulJameel M. AbduljalilVolkan EyüpoğluŞevki Adem
- Journals
- Journal of Biomolecular Structure and Dynamics (15 papers)Computers in Biology and Medicine (6 papers)Scientific Reports (5 papers)Journal of Medical Virology (5 papers)Life Sciences (5 papers)
- Partner nations
- EgyptSaudi ArabiaYemen
In The Last Decade
Abdo A. Elfiky
97 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Infectious Diseases 2.1k
- Computational Theory and Mathematics 1.1k
- Complementary and alternative medicine 222
- Pharmacology 233
- Cell Biology 414
Countries citing papers authored by Abdo A. Elfiky
This map shows the geographic impact of Abdo A. Elfiky'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 Abdo A. Elfiky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdo A. Elfiky more than expected).
Fields of papers citing papers by Abdo A. Elfiky
This network shows the impact of papers produced by Abdo A. Elfiky. 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 Abdo A. Elfiky. The network helps show where Abdo A. Elfiky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abdo A. Elfiky, 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 | 2025 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 31 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 43 | |
| 17 | 2021 | 15 | |
| 18 | 2020 | 17 | |
| 19 | 2016 | 95 | |
| 20 | 2016 | 73 |
About Abdo A. Elfiky
Abdo A. Elfiky is a scholar working on Infectious Diseases, Hepatology, Computational Theory and Mathematics, Virology and Cell Biology, having authored 100 papers that have together received 4.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), SARS-CoV-2 and COVID-19 Research (20 papers), Endoplasmic Reticulum Stress and Disease (17 papers), Hepatitis C virus research (14 papers), Protein Structure and Dynamics (13 papers), Mosquito-borne diseases and control (8 papers), Heat shock proteins research (8 papers) and Viral Infections and Vectors (7 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Computational Theory and Mathematics (1.1k citations), Complementary and alternative medicine (222 citations), Pharmacology (233 citations) and Cell Biology (414 citations). Abdo A. Elfiky has collaborated with scholars based in Egypt, Saudi Arabia and Yemen. Frequent co-authors include Ibrahim M. Ibrahim, Wael M. Elshemey, Mohammed El-Shahat, Alaa M. Ismail, Azhar Rasul, Jameel M. Abduljalil, Volkan Eyüpoğlu, Şevki Adem, Muhammad Ali and Sobhi M. Gomha. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Computers in Biology and Medicine, Scientific Reports, Journal of Medical Virology and Life Sciences.
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.