Abdo A. Elfiky

5.8k citations
100 papers · 4.1k indexed · 4 hit papers · h-index 26

Impact in

Papers in

Abdo A. Elfiky

97 papers receiving 4.0k citations

Hit Papers

Ribavirin, Remdesivir, Sofosbuvir, Galidesivir, and Tenofovir against SARS-CoV-2 RNA dependent RNA polymerase (RdRp): A molecular docking study 2020 · 698 citations
6982019202620212023200400600

Peers

Abdo A. Elfiky
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
Replace Wu Zhong with:
Wu Zhong China
Rituraj Purohit India
Yang Xu China
Po‐Huang Liang Taiwan
Amy Sims United States
Hsing‐Pang Hsieh Taiwan
Mahmoud E. S. Soliman South Africa
Yong‐Tang Zheng China
Xinyong Liu China
Sudeep Pushpakom United Kingdom
Abdo A. Elfiky relative to Wu Zhong China Wu Zhong's profile →
Citations per field
00.5×3.4×
Wu Zhong · 1×
Citations per year

Countries citing papers authored by Abdo A. Elfiky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Abdo A. Elfiky Line = papers co-authored together Abdo A. Elfiky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20243
3 20243
4 20243
5 20240
6 20243
7 20235
8 20232
9 20233
10 20234
11 202318
12 202331
13 20238
14 20226
15 20226
16 202243
17 202115
18 202017
19 201695
20 201673

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.

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