Nebil Attia

429 total citations
18 papers, 360 citations indexed

About

Nebil Attia is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, Nebil Attia has authored 18 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Nebil Attia's work include Liver Disease Diagnosis and Treatment (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Lipid metabolism and disorders (4 papers). Nebil Attia is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Lipid metabolism and disorders (4 papers). Nebil Attia collaborates with scholars based in Tunisia, France and Portugal. Nebil Attia's co-authors include Mohamed Hammami, Vincent Durlach, Anik Girard-Globa, S. Hammami, Mohsen Sakly, S. Mahjoub, Rita Pacheco, Pedro L. Falé, Maria Luísa Serralheiro and Amel Nakbi and has published in prestigious journals such as Food Research International, Atherosclerosis and Journal of Functional Foods.

In The Last Decade

Nebil Attia

17 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nebil Attia Tunisia 12 142 140 81 60 47 18 360
Prasong Siriviriyakul Thailand 13 89 0.6× 78 0.6× 99 1.2× 88 1.5× 52 1.1× 42 429
Eva Xepapadaki Greece 12 107 0.8× 131 0.9× 81 1.0× 74 1.2× 74 1.6× 19 339
Dimple Aggarwal United States 7 122 0.9× 105 0.8× 108 1.3× 65 1.1× 118 2.5× 12 565
M. Carmen Tormos Spain 10 83 0.6× 33 0.2× 108 1.3× 37 0.6× 73 1.6× 10 453
Nasrin Sheikh Iran 13 29 0.2× 79 0.6× 105 1.3× 48 0.8× 60 1.3× 28 524
Franco Romeo Italy 7 107 0.8× 102 0.7× 132 1.6× 66 1.1× 47 1.0× 7 482
T. T. Nguyen United States 8 202 1.4× 349 2.5× 70 0.9× 82 1.4× 126 2.7× 10 603
Yoshiya HATA Japan 15 311 2.2× 215 1.5× 144 1.8× 76 1.3× 76 1.6× 35 692
Kamarulzaman Karim Malaysia 10 27 0.2× 122 0.9× 136 1.7× 30 0.5× 29 0.6× 19 439

Countries citing papers authored by Nebil Attia

Since Specialization
Citations

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

Fields of papers citing papers by Nebil Attia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nebil Attia

This figure shows the co-authorship network connecting the top 25 collaborators of Nebil Attia. A scholar is included among the top collaborators of Nebil Attia 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 Nebil Attia. Nebil Attia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Attia, Nebil, et al.. (2019). Cholesterol transporter proteins in HepG2 cells can be modulated by phenolic compounds present in Opuntia ficus-indica aqueous solutions. Journal of Functional Foods. 64. 103674–103674. 14 indexed citations
2.
Chérif, Rim, et al.. (2018). Clinical and body composition predictors of bone turnover and mineral content in obese postmenopausal women. Clinical Rheumatology. 38(3). 739–747. 5 indexed citations
3.
Attia, Nebil, Pedro L. Falé, Rita Pacheco, et al.. (2017). Isorhamnetin derivatives and piscidic acid for hypercholesterolemia: cholesterol permeability, HMG-CoA reductase inhibition, and docking studies. Archives of Pharmacal Research. 40(11). 1278–1286. 43 indexed citations
4.
Chérif, Rim, et al.. (2017). Dual-energy X-ray absorptiometry underestimates in vivo lumbar spine bone mineral density in overweight rats. Journal of Bone and Mineral Metabolism. 36(1). 31–39. 9 indexed citations
5.
Chérif, Rim, et al.. (2017). Positive Association of Obesity and Insulin Resistance With Bone Mineral Density in Tunisian Postmenopausal Women. Journal of Clinical Densitometry. 21(2). 163–171. 26 indexed citations
6.
Chérif, Rim, et al.. (2017). Impact of obesity and insulin-resistance on bone mineral density in Tunisian postmenopausal women. Atherosclerosis. 263. e270–e270. 1 indexed citations
7.
Nakbi, Amel, Wafa Tayeb, Samia Dabbou, et al.. (2016). Extra virgin olive oil modulates brain docosahexaenoic acid level and oxidative damage caused by 2,4-Dichlorophenoxyacetic acid in rats. Journal of Food Science and Technology. 53(3). 1454–1464. 26 indexed citations
8.
Baudin, Bruno, et al.. (2015). Plasma proprotein convertase subtilisin/kexin type 9 is associated with Lp(a) in type 2 diabetic patients. Journal of Diabetes and its Complications. 29(8). 1165–1170. 27 indexed citations
9.
Attia, Nebil, Anne‐Marie Lorec, N. Domingo, et al.. (2010). High density lipoprotein-anionic peptide factor effect on reverse cholesterol transport in type 2 diabetic patients with and without coronary artery disease. Clinical Biochemistry. 43(13-14). 1079–1084.
10.
Nakbi, Amel, Samia Dabbou, Francis Fouchier, et al.. (2010). Modulation of the superoxide anion production and MMP-9 expression in PMA stimulated THP-1 cells by olive oil minor components: Tyrosol and hydroxytyrosol. Food Research International. 44(2). 575–581. 11 indexed citations
11.
Attia, Nebil, et al.. (2008). Association between apolipoprotein E polymorphism, lipids, and coronary artery disease in Tunisian type 2 diabetes. Journal of clinical lipidology. 2(5). 360–364. 18 indexed citations
12.
Attia, Nebil, N. Domingo, Anne‐Marie Lorec, et al.. (2008). Reverse modulation of the HDL Anionic Peptide Factor and phospholipid transfer protein activity in coronary artery disease and type 2 diabetes mellitus. Clinical Biochemistry. 42(9). 845–851. 10 indexed citations
13.
Attia, Nebil, Amel Nakbi, Philippe Moulin, et al.. (2007). Increased Phospholipid Transfer Protein Activity Associated with the Impaired Cellular Cholesterol Efflux in Type 2 Diabetic Subjects with Coronary Artery Disease. The Tohoku Journal of Experimental Medicine. 213(2). 129–137. 25 indexed citations
14.
Attia, Nebil, et al.. (2005). Association of SNP3 polymorphism in the apolipoprotein A-V gene with plasma triglyceride level in Tunisian type 2 diabetes. Lipids in Health and Disease. 4(1). 1–1. 56 indexed citations
15.
Attia, Nebil, et al.. (2000). Postprandial reverse cholesterol transport in type 2 diabetic patients: effect of a lipid lowering treatment. Atherosclerosis. 153(2). 453–460. 18 indexed citations
16.
Attia, Nebil, et al.. (2000). Postprandial concentrations and distribution of apo C-III in type 2 diabetic patients. Effect of bezafibrate treatment. Atherosclerosis. 149(2). 427–433. 13 indexed citations
17.
18.
Attia, Nebil, Vincent Durlach, Jean‐Louis Paul, et al.. (1995). Modulation of low density lipoprotein subclasses by alimentary lipemia in control and normotriglyceridemic non-insulin-dependent diabetic subjects. Atherosclerosis. 113(2). 197–209. 26 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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