Azeddine Ibrahimi

5.5k citations
131 papers · 3.7k · 1 hit paper · h-index 27

Impact in

Papers in

Azeddine Ibrahimi

122 papers receiving 3.6k citations

Azeddine Ibrahimi's Hit Papers

Identification of Cd36 (Fat) as an insulin-resistance gene causing defective fatty acid and glucose metabolism in hypertensive rats 1999 · 593 citations
5930+9+18Years since publication100200300400500

Peers

Azeddine Ibrahimi
Comparison fields: 5 of 142
  • Biochemistry 292
  • Physiology 837
  • Clinical Biochemistry 225
  • Molecular Biology 1.9k
  • Cancer Research 286
Replace Ji‐Young Lee with:
Ji‐Young Lee United States
Roberto Bei Italy
Paul Kirkham United Kingdom
Fajun Yang United States
Thorsten Berger Canada
Antonio Macho Spain
Andreas von Knethen Germany
Helena L.A. Vieira Portugal
Min Li China
Azeddine Ibrahimi relative to Ji‐Young Lee United States Ji‐Young Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Azeddine Ibrahimi

Since Specialization
Citations

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

Fields of papers citing papers by Azeddine Ibrahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of Cd36 (Fat) as an insulin-resistance gene causing defective fatty acid and glucose metabolism in hypertensive rats
Hit paper breakdown →
1999593
2 1999286
3 1998262
4 1996193
5 2001158
6 2001155
7 1999141
8 2002132
9 1994123
10 200294
11 200194
12 199792
13 201877
14 200373
15 200456
16 201552
17 201649
18 199245
19 202044
20 201742

About Azeddine Ibrahimi

Azeddine Ibrahimi is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Genetics and Oncology, having authored 131 papers that have together received 3.7k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (19 papers), Computational Drug Discovery Methods (10 papers), Synthesis and biological activity (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Adipose Tissue and Metabolism (9 papers), Genomics and Phylogenetic Studies (8 papers), Bacteriophages and microbial interactions (6 papers) and Synthesis and Characterization of Heterocyclic Compounds (6 papers). The work is most often cited by research in Biochemistry (292 citations), Physiology (837 citations), Clinical Biochemistry (225 citations), Molecular Biology (1.9k citations) and Cancer Research (286 citations). Azeddine Ibrahimi has collaborated with scholars based in Morocco, United States and France. Frequent co-authors include Nada A. Abumrad, Carroll M. Harmon, Tahar Hajri, Ez‐Zoubir Amri, Arend Bonen, Paola Grimaldi, Chris T. Coburn, Anne M. Glazier, Timothy J. Aitman and Michal Pravenec. Their work appears in journals such as Bioinformatics and Biology Insights, Journal of Biomolecular Structure and Dynamics, Scientific Reports, Proceedings of the National Academy of Sciences and Heliyon.

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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