Ibrahim M. Ibrahim

4.3k citations
153 papers · 3.1k indexed · 2 hit papers · h-index 27

Impact in

Papers in

Ibrahim M. Ibrahim

145 papers receiving 3.1k citations

Hit Papers

COVID-19 spike-host cell receptor GRP78 binding site prediction 2020 · 386 citations
3862019202620212023100200300400

Peers

Ibrahim M. Ibrahim
Comparison fields: 5 of 145
  • Toxicology 171
  • Computational Theory and Mathematics 460
  • Infectious Diseases 495
  • Organic Chemistry 659
  • Cell Biology 292
Replace Gulam Mustafa Hasan with:
Gulam Mustafa Hasan India
Mingzhu Yin China
Dharmendra Kumar Yadav India
Hou‐Wen Lin China
Yu‐Sheng Chao Taiwan
Jian‐Dong Jiang China
Elaine Lai‐Han Leung Macao
Sandeep Singh India
Mohamed E.M. Saeed Germany
Vijay Kumar Bhardwaj India
Ibrahim M. Ibrahim relative to Gulam Mustafa Hasan India Gulam Mustafa Hasan's profile →
Citations per field
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Gulam Mustafa Hasan · 1×
Citations per year

Countries citing papers authored by Ibrahim M. Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim M. Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim M. Ibrahim. 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 Ibrahim M. Ibrahim. The network helps show where Ibrahim M. Ibrahim may publish in the future.

Co-authors

The 25 scholars most cited alongside Ibrahim M. Ibrahim, 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 Ibrahim M. Ibrahim Line = papers co-authored together Ibrahim M. Ibrahim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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9 202316
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About Ibrahim M. Ibrahim

Ibrahim M. Ibrahim is a scholar working on Toxicology, Computational Theory and Mathematics, Organic Chemistry, Equine and Pharmacology, having authored 153 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (40 papers), Synthesis and biological activity (33 papers), Bioactive Compounds and Antitumor Agents (23 papers), Cancer therapeutics and mechanisms (19 papers), Angiogenesis and VEGF in Cancer (16 papers), Vascular Procedures and Complications (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and Lung Cancer Treatments and Mutations (10 papers). The work is most often cited by research in Toxicology (171 citations), Computational Theory and Mathematics (460 citations), Infectious Diseases (495 citations), Organic Chemistry (659 citations) and Cell Biology (292 citations). Ibrahim M. Ibrahim has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Abdo A. Elfiky, Mohammed El-Shahat, Ibrahim H. Eissa, Eslam B. Elkaeed, Ahmed M. Metwaly, Hazem Elkady, Dalal Z. Husein, Herbert Dardik, Reda G. Yousef and Irving Dardik. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of Vascular Surgery, RSC Advances, Molecules and The American Journal of Surgery.

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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