Aouatef Bellamine

1.7k total citations
33 papers, 1.4k citations indexed

About

Aouatef Bellamine is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Aouatef Bellamine has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Pharmacology and 7 papers in Pharmacology. Recurrent topics in Aouatef Bellamine's work include Pharmacogenetics and Drug Metabolism (10 papers), Metabolism and Genetic Disorders (6 papers) and Muscle metabolism and nutrition (5 papers). Aouatef Bellamine is often cited by papers focused on Pharmacogenetics and Drug Metabolism (10 papers), Metabolism and Genetic Disorders (6 papers) and Muscle metabolism and nutrition (5 papers). Aouatef Bellamine collaborates with scholars based in United States, Türkiye and Switzerland. Aouatef Bellamine's co-authors include Michael R. Waterman, Anil T. Mangla, W. David Nes, Christopher Papandreou, Roger A. Fielding, Margret I. Moré, Galina I. Lepesheva, James P. Lugo, Toran Sanli and James V. Gainer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Aouatef Bellamine

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aouatef Bellamine United States 18 580 378 259 230 211 33 1.4k
Mitchell A. Avery United States 21 842 1.5× 258 0.7× 266 1.0× 432 1.9× 194 0.9× 41 2.3k
Dongsheng Ouyang China 24 783 1.4× 651 1.7× 164 0.6× 119 0.5× 73 0.3× 78 1.8k
Anna Rull Spain 26 601 1.0× 204 0.5× 334 1.3× 319 1.4× 134 0.6× 94 2.3k
Surendra K. Bansal United States 19 750 1.3× 290 0.8× 223 0.9× 181 0.8× 58 0.3× 45 2.1k
Guohua An United States 25 581 1.0× 230 0.6× 125 0.5× 147 0.6× 54 0.3× 92 1.6k
Pratibha V. Nerurkar United States 21 466 0.8× 293 0.8× 113 0.4× 338 1.5× 55 0.3× 39 1.6k
James A. Eckstein United States 17 618 1.1× 560 1.5× 65 0.3× 145 0.6× 91 0.4× 25 1.8k
Ching‐Hsein Chen Taiwan 25 903 1.6× 325 0.9× 61 0.2× 79 0.3× 244 1.2× 57 2.0k
P.M. Mrozikiewicz Poland 22 666 1.1× 498 1.3× 75 0.3× 129 0.6× 88 0.4× 128 1.8k
P.J. De Schepper Belgium 20 682 1.2× 283 0.7× 325 1.3× 147 0.6× 234 1.1× 53 2.0k

Countries citing papers authored by Aouatef Bellamine

Since Specialization
Citations

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

Fields of papers citing papers by Aouatef Bellamine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aouatef Bellamine

This figure shows the co-authorship network connecting the top 25 collaborators of Aouatef Bellamine. A scholar is included among the top collaborators of Aouatef Bellamine based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aouatef Bellamine. Aouatef Bellamine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bellamine, Aouatef, et al.. (2024). Effects of the active botanical blend “WKUP GT” on attention and cognitive functions after lunch in healthy volunteers. Human Psychopharmacology Clinical and Experimental. 39(4). e2895–e2895. 1 indexed citations
2.
Şahin, Kazım, et al.. (2021). Correction to: Bioavailability of a Capsaicin Lipid Multi‑particulate Formulation in Rats. European Journal of Drug Metabolism and Pharmacokinetics. 46(5). 651–651. 1 indexed citations
3.
4.
Bellamine, Aouatef, et al.. (2021). Genotoxicity and subchronic oral toxicity studies of L-carnitine and L-carnitine L-tartrate. 12(1). 1–12. 3 indexed citations
5.
Şahin, Kazım, et al.. (2021). Bioavailability of a Capsaicin Lipid Multi-particulate Formulation in Rats. European Journal of Drug Metabolism and Pharmacokinetics. 46(5). 645–650. 5 indexed citations
6.
Marzorati, Massimo, et al.. (2021). Comparison of protection and release behavior of different capsule polymer combinations based on L. acidophilus survivability and function and caffeine release. International Journal of Pharmaceutics. 607. 120977–120977. 12 indexed citations
8.
Papandreou, Christopher, Margret I. Moré, & Aouatef Bellamine. (2020). Trimethylamine N-Oxide in Relation to Cardiometabolic Health—Cause or Effect?. Nutrients. 12(5). 1330–1330. 99 indexed citations
9.
Armendariz, C.K., et al.. (2017). Relative bioavailability of carnitine delivered by ruminal or abomasal infusion or by encapsulation in dairy cattle. Journal of Dairy Science. 101(3). 2060–2071. 3 indexed citations
10.
Collins, Heidi L., Denise Drazul‐Schrader, Anthony C. Sulpizio, et al.. (2015). L-Carnitine intake and high trimethylamine N-oxide plasma levels correlate with low aortic lesions in ApoE−/− transgenic mice expressing CETP. Atherosclerosis. 244. 29–37. 147 indexed citations
11.
Mason, Ronald P., Robert F. Jacob, Ruslan Kubant, et al.. (2011). Effect of Enhanced Glycemic Control with Saxagliptin on Endothelial Nitric Oxide Release and CD40 Levels in Obese Rats. Journal of Atherosclerosis and Thrombosis. 18(9). 774–783. 55 indexed citations
12.
Zhao, Bin, Aouatef Bellamine, Lei Li, & Michael R. Waterman. (2011). The role of Ile87 of CYP158A2 in oxidative coupling reaction. Archives of Biochemistry and Biophysics. 518(2). 127–132. 12 indexed citations
13.
Bellamine, Aouatef, Galina I. Lepesheva, & Michael R. Waterman. (2004). Fluconazole binding and sterol demethylation in three CYP51 isoforms indicate differences in active site topology. Journal of Lipid Research. 45(11). 2000–2007. 48 indexed citations
14.
Bellamine, Aouatef, Yarong Wang, Michael R. Waterman, et al.. (2002). Characterization of the CYP4A11 gene, a second CYP4A gene in humans. Archives of Biochemistry and Biophysics. 409(1). 221–227. 39 indexed citations
15.
Bellamine, Aouatef, et al.. (2001). Structural requirements for substrate recognition of Mycobacterium tuberculosis 14α-demethylase: implications for sterol biosynthesis. Journal of Lipid Research. 42(1). 128–136. 21 indexed citations
16.
Lepesheva, Galina I., Larissa M. Podust, Aouatef Bellamine, & Michael R. Waterman. (2001). Folding Requirements Are Different between Sterol 14α-Demethylase (CYP51) from Mycobacterium tuberculosis and Human or Fungal Orthologs. Journal of Biological Chemistry. 276(30). 28413–28420. 42 indexed citations
18.
Pompon, Denis, et al.. (1995). Genetically engineered yeast cells and their applications. Toxicology Letters. 82-83. 815–822. 18 indexed citations
19.
Bellamine, Aouatef, Jean‐Charles Gautier, Philippe Urban, & Denis Pompon. (1994). Chimeras of the Human Cytochrome P450 1A Family Produced in Yeast. European Journal of Biochemistry. 225(3). 1005–1013. 32 indexed citations
20.
Urban, Philippe, Gilles Truan, Aouatef Bellamine, et al.. (1994). ENGINEERED YEASTS SIMULATING P450-DEPENDENT METABOLISMS: TRICKS, MYTHS AND REALITY. Drug metabolism and drug interactions. 11(3). 169–200. 14 indexed citations

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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