El-Sayed Ibrahim

520 citations
30 papers · 412 · h-index 10

Impact in

  • Toxicology top 5%
    • Forensic Toxicology and Drug Analysis
  • Pharmacology top 10%
    • Cannabis and Cannabinoid Research

Papers in

El-Sayed Ibrahim

29 papers receiving 390 citations

Peers

El-Sayed Ibrahim
Comparison fields: 5 of 78
  • Toxicology 37
  • Pharmacology 155
  • Insect Science 51
  • Plant Science 104
  • Food Science 49
Replace Syed Tariq Ali with:
Syed Tariq Ali Pakistan
Muhammad Naeem Faisal Pakistan
Jin Hun Cho South Korea
Bing Bai China
Francisco Valmor Macedo Cunha Brazil
Katyakyini Muniandy Malaysia
Ana Amélia Paolucci Almeida Brazil
Francisco Stefânio Barreto Brazil
Verônica Ferrari Cervi Brazil
Oruganti H. Setty India
El-Sayed Ibrahim relative to Syed Tariq Ali Pakistan Syed Tariq Ali's profile →
Citations per field
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Citations per year

Countries citing papers authored by El-Sayed Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by El-Sayed Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201981
2
Honey, a prospective antibiotic: extraction, formulation, and stability.
200165
3 200549
4 201734
5 201834
6 201718
7 202316
8 202014
9 201014
10 202112
11 20229
12 20147
13 20237
14 20237
15 20227
16 20246
17 20235
18 20205
19 20235
20 20225

About El-Sayed Ibrahim

El-Sayed Ibrahim is a scholar working on Pharmacology, Toxicology, Plant Science, Hepatology and Analytical Chemistry, having authored 30 papers that have together received 412 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (9 papers), GABA and Rice Research (8 papers), Analytical Methods in Pharmaceuticals (3 papers), Forensic Toxicology and Drug Analysis (3 papers), Psychedelics and Drug Studies (3 papers), Analytical Chemistry and Chromatography (2 papers), Alcohol Consumption and Health Effects (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Toxicology (37 citations), Pharmacology (155 citations), Insect Science (51 citations), Plant Science (104 citations) and Food Science (49 citations). El-Sayed Ibrahim has collaborated with scholars based in Egypt, United States and Oman. Frequent co-authors include Mahmoud A. ElSohly, Nagwa Rashed, Suman Chandra, El Sayed H. El Ashry, Hemant Lata, Mohamed M. Radwan, Waseem Gul, Ghada M. Hadad, Indra K. Reddy and Amira S. Wanas. Their work appears in journals such as Planta Medica, Molecules, Cannabis and Cannabinoid Research, Microchemical Journal and Journal of Cancer.

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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