Sahar E. El-Swefy

672 total citations
25 papers, 502 citations indexed

About

Sahar E. El-Swefy is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Immunology. According to data from OpenAlex, Sahar E. El-Swefy has authored 25 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Sahar E. El-Swefy's work include Liver Disease Diagnosis and Treatment (4 papers), Diet, Metabolism, and Disease (4 papers) and Liver physiology and pathology (3 papers). Sahar E. El-Swefy is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Diet, Metabolism, and Disease (4 papers) and Liver physiology and pathology (3 papers). Sahar E. El-Swefy collaborates with scholars based in Egypt, Saudi Arabia and United States. Sahar E. El-Swefy's co-authors include Hoda E. Mohamed, Rehab A. Hasan, Mohamed M. Elseweidy, Hebatallah Husseini Atteia, Hanan Hagar, N. Younis, Amal M. H. Ghanim, Reem M. Hashem, Rasha H. Mohamed and Ahmed A. Hasan and has published in prestigious journals such as Scientific Reports, Life Sciences and Atherosclerosis.

In The Last Decade

Sahar E. El-Swefy

25 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sahar E. El-Swefy Egypt 14 80 77 74 65 56 25 502
Ángela Martín Spain 11 114 1.4× 137 1.8× 80 1.1× 44 0.7× 31 0.6× 15 521
Kristien Daenen Belgium 5 77 1.0× 240 3.1× 50 0.7× 74 1.1× 48 0.9× 5 710
Rafael Medina-Navarro Mexico 16 153 1.9× 165 2.1× 43 0.6× 61 0.9× 104 1.9× 32 662
Shahnaz Ahmad Mir India 11 84 1.1× 152 2.0× 79 1.1× 63 1.0× 102 1.8× 23 707
Olha Zhenyukh Spain 6 139 1.7× 254 3.3× 64 0.9× 40 0.6× 68 1.2× 7 577
Qiaoling He China 14 57 0.7× 212 2.8× 42 0.6× 43 0.7× 84 1.5× 19 544
Walaa Yehia Abdelzaher Egypt 16 52 0.7× 161 2.1× 24 0.3× 69 1.1× 60 1.1× 53 640
Nashwa Fathy Gamal El‐Tahawy Egypt 14 76 0.9× 136 1.8× 19 0.3× 53 0.8× 51 0.9× 52 571
Kao-Chang Lin Taiwan 12 31 0.4× 133 1.7× 49 0.7× 31 0.5× 65 1.2× 15 498
Nathawut Sibmooh Thailand 15 194 2.4× 137 1.8× 84 1.1× 32 0.5× 33 0.6× 41 690

Countries citing papers authored by Sahar E. El-Swefy

Since Specialization
Citations

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

Fields of papers citing papers by Sahar E. El-Swefy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahar E. El-Swefy

This figure shows the co-authorship network connecting the top 25 collaborators of Sahar E. El-Swefy. A scholar is included among the top collaborators of Sahar E. El-Swefy 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 Sahar E. El-Swefy. Sahar E. El-Swefy 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
4.
Elseweidy, Mohamed M., et al.. (2019). Contribution of aorta glycosaminoglycans and PCSK9 to hyperlipidemia in experimental rabbits: the role of 10-dehdrogingerdione as effective modulator. Molecular Biology Reports. 46(4). 3921–3928. 6 indexed citations
5.
Elseweidy, Mohamed M., et al.. (2017). Vanillin as a new modulator candidate for renal injury induced by cisplatin in experimental rats. Cytokine. 99. 260–265. 19 indexed citations
6.
Mohamed, Hoda E., Sahar E. El-Swefy, Laila Ahmed Rashed, et al.. (2016). Bone marrow-derived mesenchymal stem cells effectively regenerate fibrotic liver in bile duct ligation rat model. Experimental Biology and Medicine. 241(6). 581–591. 29 indexed citations
7.
El-Swefy, Sahar E., et al.. (2016). Inflammation, oxidative stress and apoptosis cascade implications in bisphenol A‐induced liver fibrosis in male rats. International Journal of Experimental Pathology. 97(5). 369–379. 92 indexed citations
8.
Mohamed, Hoda E., Sahar E. El-Swefy, Laila Ahmed Rashed, et al.. (2015). CHOLESTATIC LIVER FIBROSIS IN A RAT MODEL OF BILE DUCT LIGATION: EVALUATING BIOCHEMICAL VERSUS HISTOPATHOLOGICAL CHANGES. International Journal of Pharmacy and Pharmaceutical Sciences. 7(6). 349–354. 5 indexed citations
9.
Mohamed, Hoda E., Sahar E. El-Swefy, Rehab A. Hasan, & Ahmed A. Hasan. (2014). Neuroprotective effect of resveratrol in diabetic cerebral ischemic-reperfused rats through regulation of inflammatory and apoptotic events. Diabetology & Metabolic Syndrome. 6(1). 88–88. 29 indexed citations
10.
Elseweidy, Mohamed M., et al.. (2014). Atheroprotective potentials of curcuminoids against ginger extract in hypercholesterolaemic rabbits. Natural Product Research. 29(10). 961–965. 17 indexed citations
11.
Elseweidy, Mohamed M., Sahar E. El-Swefy, N. Younis, & Mohamed S. Zaghloul. (2013). Pyridoxamine, an inhibitor of protein glycation, in relation to microalbuminuria and proinflammatory cytokines in experimental diabetic nephropathy. Experimental Biology and Medicine. 238(8). 881–888. 17 indexed citations
12.
Mohamed, Hoda E., Sahar E. El-Swefy, Rasha H. Mohamed, & Amal M. H. Ghanim. (2011). Effect of erythropoietin therapy on the progression of cisplatin induced renal injury in rats. Experimental and Toxicologic Pathology. 65(1-2). 197–203. 32 indexed citations
13.
Mohamed, Hoda E., et al.. (2010). Biochemical effect of a ketogenic diet on the brains of obese adult rats. Journal of Clinical Neuroscience. 17(7). 899–904. 16 indexed citations
14.
Mohamed, Hoda E., et al.. (2010). Obesity and neurodegeneration: effect of a Mediterranean dietary pattern. Nutritional Neuroscience. 13(5). 205–212. 1 indexed citations
15.
El-Swefy, Sahar E., et al.. (2009). Improvement of hepatic fibrosis by leukotriene inhibition in cholestatic rats. Annals of Hepatology. 8(1). 41–49. 40 indexed citations
16.
El-Swefy, Sahar E., et al.. (2002). A novel concept to preserve the beneficial effects of hormone replacement therapy in bilaterally female ovariectomized rats: role of lovastatin therapy. Pharmacological Research. 45(3). 167–173. 9 indexed citations
17.
18.
El-Swefy, Sahar E., et al.. (2002). Hyperhomocysteinaemia and cardiovascular risk in female ovariectomized rats: role of folic acid and hormone replacement therapy. Journal of Pharmacy and Pharmacology. 54(3). 391–397. 20 indexed citations
19.
Mohamed, Hoda E., Sahar E. El-Swefy, & Hanan Hagar. (2000). The protective effect of glutathione administration on adriamycin-induced acute cardiac toxicity in rats. Pharmacological Research. 42(2). 115–121. 52 indexed citations
20.
El-Swefy, Sahar E., Ernst J. Schaefer, Leo Seman, et al.. (2000). The effect of vitamin E, probucol, and lovastatin on oxidative status and aortic fatty lesions in hyperlipidemic-diabetic hamsters. Atherosclerosis. 149(2). 277–286. 42 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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