Shadia Ragab

533 total citations
20 papers, 427 citations indexed

About

Shadia Ragab is a scholar working on Molecular Biology, Surgery and Hematology. According to data from OpenAlex, Shadia Ragab has authored 20 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Hematology. Recurrent topics in Shadia Ragab's work include Acute Myeloid Leukemia Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Shadia Ragab is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Shadia Ragab collaborates with scholars based in Egypt and United States. Shadia Ragab's co-authors include Nagwa Abdallah Ismail, Soha M. Abd El Dayem, Eman A. Elghoroury, Azza Abdel Gawad Tantawy, Dina H. Kassem, Samuel A. Lewis, Rashika El Ridi, Ahmed Afifi, Mohamed M. Kamal and Wafaa M. Ezzat and has published in prestigious journals such as Scandinavian Journal of Immunology, Translational research and Platelets.

In The Last Decade

Shadia Ragab

20 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shadia Ragab Egypt 9 191 165 70 59 44 20 427
Hye Ryun Lee South Korea 12 75 0.4× 49 0.3× 60 0.9× 89 1.5× 24 0.5× 45 397
Katsuyuki Kito Japan 9 194 1.0× 114 0.7× 64 0.9× 30 0.5× 29 0.7× 21 402
S. Inomata Japan 10 116 0.6× 64 0.4× 49 0.7× 38 0.6× 16 0.4× 15 439
Dawn W. Adams United States 11 121 0.6× 124 0.8× 159 2.3× 27 0.5× 127 2.9× 27 544
Cornelis van’t Veer Netherlands 10 113 0.6× 105 0.6× 208 3.0× 50 0.8× 51 1.2× 14 480
Ana Isabel Álvarez‐Ríos Spain 14 84 0.4× 90 0.5× 79 1.1× 15 0.3× 71 1.6× 36 503
Isao Moritani Japan 10 460 2.4× 254 1.5× 67 1.0× 33 0.6× 85 1.9× 20 679
Kees Meijer Netherlands 8 262 1.4× 184 1.1× 133 1.9× 20 0.3× 81 1.8× 16 646
Margaret Wojnar United States 11 48 0.3× 62 0.4× 87 1.2× 50 0.8× 23 0.5× 19 369
S. Sharif Iran 7 324 1.7× 76 0.5× 54 0.8× 58 1.0× 40 0.9× 10 590

Countries citing papers authored by Shadia Ragab

Since Specialization
Citations

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

Fields of papers citing papers by Shadia Ragab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shadia Ragab

This figure shows the co-authorship network connecting the top 25 collaborators of Shadia Ragab. A scholar is included among the top collaborators of Shadia Ragab 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 Shadia Ragab. Shadia Ragab 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.
Kamal, Mohamed M., et al.. (2020). New emerging roles of the novel hepatokine SERPINB1 in type 2 diabetes mellitus: Crosstalk with β-cell dysfunction and dyslipidemia. Translational research. 231. 1–12. 10 indexed citations
2.
Ismail, Nagwa Abdallah, et al.. (2019). Potential Role of New Anthropometric Parameters in Childhood Obesity with or Without Metabolic Syndrome. Open Access Macedonian Journal of Medical Sciences. 7(23). 3930–3936. 10 indexed citations
3.
Ismail, Nagwa Abdallah, et al.. (2018). Implication of CDKAL1 single-nucleotide polymorphism rs 9465871 in obese and non-obese Egyptian children.. PubMed. 73(5). 286–290. 2 indexed citations
4.
Ismail, Nagwa Abdallah, et al.. (2016). Monocyte chemoattractant protein 1 and macrophage migration inhibitory factor in children with type 1 diabetes. Journal of Pediatric Endocrinology and Metabolism. 29(6). 641–5. 25 indexed citations
5.
Ragab, Shadia, et al.. (2014). MDM2 SNP309 and p53 codon 72 genetic polymorphisms and risk of AML: an Egyptian study.. PubMed. 44(4). 449–54. 8 indexed citations
6.
Ragab, Shadia, et al.. (2014). FOXO 1a and FOXO 3a gene polymorphisms in association with metabolic syndrome. Journal of Genetic Engineering and Biotechnology. 12(2). 127–133. 2 indexed citations
7.
Ragab, Shadia, et al.. (2013). Echocardiographic assessment of epicardial adipose tissue in obese children and its relation to clinical parameters of metabolic syndrome. Journal of the Saudi Heart Association. 25(2). 108–108. 2 indexed citations
8.
Ismail, Nagwa Abdallah, et al.. (2013). Relation between serum progranulin, inflammatory markers and visceral fat in childhood obesity. Advances in Bioscience and Biotechnology. 4(12). 1030–1038. 3 indexed citations
9.
Ismail, Nagwa Abdallah, et al.. (2012). Fetuin-A levels in obesity: differences in relation to metabolic syndrome and correlation with clinical and laboratory variables. Archives of Medical Science. 5(5). 826–833. 44 indexed citations
11.
Ezzat, Wafaa M., et al.. (2012). Frequency of non-alcoholic fatty liver disease in overweight/obese children and adults: Clinical, sonographic picture and biochemical assessment. Journal of Genetic Engineering and Biotechnology. 10(2). 221–227. 15 indexed citations
12.
Soliman, A. M., et al.. (2011). Cytotoxic potency and induced biochemical parameters in mice serum of new furan derivatives against liver cancer cell line.. PubMed. 68(4). 499–505. 6 indexed citations
13.
Ismail, Nagwa Abdallah, et al.. (2011). Frequency of Firmicutes and Bacteroidetes in gut microbiota in obese and normal weight Egyptian children and adults. Archives of Medical Science. 3. 501–507. 217 indexed citations
14.
Ragab, Shadia, et al.. (2010). Red cell alloimmunization and autoantibodies in Egyptian transfusion-dependent thalassaemia patients. Archives of Medical Science. 4(4). 592–598. 37 indexed citations
15.
Tantawy, Azza Abdel Gawad, et al.. (2010). Predictors of bone disease in Egyptian prepubertal children with β-thalassaemia major. Archives of Medical Science. 4(4). 584–591. 8 indexed citations
16.
Ragab, Shadia, et al.. (2010). Expression of The Antiapoptotic Gene Survivin in Acute Leukemias. 1 indexed citations
17.
Ismail, Nagwa Abdallah, et al.. (2009). Inappropriate restriction of dietary gluten and associated bone acquisition and bone density in Egyptian children with coeliac disease.. Archives of Medical Science. 5(4). 589–595. 5 indexed citations
18.
Elghoroury, Eman A., et al.. (2008). Study of factor VII, tissue factor pathway inhibitor and monocyte tissue factor in noninsulin-dependent diabetes mellitus. Blood Coagulation & Fibrinolysis. 19(1). 7–13. 11 indexed citations
19.
Ragab, Shadia, et al.. (2006). Fungal and Bacterial Infection in Malnourished Children and its Relation to Severity of the Disease. Journal of Medical Sciences(Faisalabad). 6(3). 432–438. 1 indexed citations
20.
Ridi, Rashika El, Shadia Ragab, Samuel A. Lewis, & Ahmed Afifi. (2001). Role of IgE in Primary Murine Schistosomiasis mansoni. Scandinavian Journal of Immunology. 53(1). 24–31. 8 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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