Abdo A. Elfiky

5.9k citations
104 papers · 4.2k · 4 hit papers · h-index 26

Impact in

Papers in

Abdo A. Elfiky

102 papers receiving 4.1k citations

Abdo A. Elfiky's Hit Papers

COVID-19 spike-host cell receptor GRP78 binding site prediction 2020 · 399 citations
3990+2+4Years since publication200400600

Peers

Abdo A. Elfiky
Comparison fields: 5 of 143
  • Infectious Diseases 2.0k
  • Computational Theory and Mathematics 1.0k
  • Complementary and alternative medicine 214
  • Pharmacology 210
  • Cell Biology 402
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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-authors

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

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ribavirin, Remdesivir, Sofosbuvir, Galidesivir, and Tenofovir against SARS-CoV-2 RNA dependent RNA polymerase (RdRp): A molecular docking study
Hit paper breakdown →
2020716
2
Anti-HCV, nucleotide inhibitors, repurposing against COVID-19
Hit paper breakdown →
2020556
3
GRP78: A cell's response to stress
Hit paper breakdown →
2019502
4
COVID-19 spike-host cell receptor GRP78 binding site prediction
Hit paper breakdown →
2020399
5 2020235
6 2020160
7 201697
8 202097
9 202093
10 202089
11 202077
12 201675
13 201944
14 201743
15 202243
16 201343
17 202142
18 201837
19 202035
20 201634

About Abdo A. Elfiky

Abdo A. Elfiky is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Cell Biology and Epidemiology, having authored 104 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Endoplasmic Reticulum Stress and Disease (16 papers), SARS-CoV-2 and COVID-19 Research (16 papers), Protein Structure and Dynamics (14 papers), Hepatitis C virus research (11 papers), Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (7 papers) and Heat shock proteins research (6 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Computational Theory and Mathematics (1.0k citations), Complementary and alternative medicine (214 citations), Pharmacology (210 citations) and Cell Biology (402 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, Jameel M. Abduljalil, Volkan Eyüpoğlu, Şevki Adem, Azhar Rasul, 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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