Mohammed El-Shahat

620 citations
12 papers · 471 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Mohammed El-Shahat

11 papers receiving 466 citations

Hit Papers

COVID-19 spike-host cell receptor GRP78 binding site prediction 2020 · 386 citations
3862020202620222024100200300

Peers

Mohammed El-Shahat
Comparison fields: 5 of 109
  • Infectious Diseases 248
  • Computational Theory and Mathematics 69
  • Neurology 46
  • Cell Biology 42
  • Biological Psychiatry 6
Replace Min-Han Lin with:
Min-Han Lin Taiwan
Kirstin Mösbauer Germany
Steven Mazur United States
Yvonne Xinyi Lim Singapore
Tai‐Ling Chao Taiwan
Shih-Chieh Su Taiwan
Jasdeep Singh India
Sisi Kang China
Gitanjali Subramanya United States
Dhaval Patel India
Mohammed El-Shahat relative to Min-Han Lin Taiwan Min-Han Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammed El-Shahat

Since Specialization
Citations

This map shows the geographic impact of Mohammed El-Shahat'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 Mohammed El-Shahat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed El-Shahat more than expected).

Fields of papers citing papers by Mohammed El-Shahat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed El-Shahat. 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 Mohammed El-Shahat. The network helps show where Mohammed El-Shahat may publish in the future.

Co-authors

The 5 scholars most cited alongside Mohammed El-Shahat, 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 Mohammed El-Shahat Line = papers co-authored together Mohammed El-Shahat links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20240
2 20231
3 20222
4 20229
5 20224
6 20211
7 202120
8
COVID-19 spike-host cell receptor GRP78 binding site prediction
Hit paper breakdown →
2020386
9 20203
10 201914
11 20187
12 201324

About Mohammed El-Shahat

Mohammed El-Shahat is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Astronomy and Astrophysics, Biotechnology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 471 indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (8 papers), Electrostatic Discharge in Electronics (3 papers), Lightning and Electromagnetic Phenomena (2 papers), Image and Signal Denoising Methods (2 papers), Power Transformer Diagnostics and Insulation (2 papers), Magnetic Field Sensors Techniques (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Infectious Diseases (248 citations), Computational Theory and Mathematics (69 citations), Neurology (46 citations), Cell Biology (42 citations) and Biological Psychiatry (6 citations). Mohammed El-Shahat has collaborated with scholars based in Egypt and Saudi Arabia. Frequent co-authors include Ibrahim M. Ibrahim, Abdo A. Elfiky, H. Anis, Sayed M. Eldin and Mohamed E. Ibrahim. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, Energies, IEEE Sensors Journal, Journal of Advanced Research and Sensors.

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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