Ghada A. Soliman

2.2k total citations · 1 hit paper
47 papers, 1.5k citations indexed

About

Ghada A. Soliman is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Ghada A. Soliman has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Public Health, Environmental and Occupational Health and 7 papers in Surgery. Recurrent topics in Ghada A. Soliman's work include PI3K/AKT/mTOR signaling in cancer (12 papers), Nutritional Studies and Diet (8 papers) and Metabolism, Diabetes, and Cancer (8 papers). Ghada A. Soliman is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (12 papers), Nutritional Studies and Diet (8 papers) and Metabolism, Diabetes, and Cancer (8 papers). Ghada A. Soliman collaborates with scholars based in United States, Egypt and Hong Kong. Ghada A. Soliman's co-authors include Diane C. Fingar, Hugo A. Acosta-Jaquez, Bryan A. Ballif, Elaine A. Dunlop, Andrew R. Tee, Philippe P. Roux, Yves Roméo, Audrey Carrière, Dimple Aggarwal and María Luz Fernández and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ghada A. Soliman

43 papers receiving 1.5k citations

Hit Papers

Dietary Fiber, Atherosclerosis, and Cardiovascular Disease 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ghada A. Soliman United States 16 668 316 232 201 166 47 1.5k
Youyou Zhao United Kingdom 16 359 0.5× 268 0.8× 216 0.9× 158 0.8× 122 0.7× 26 1.2k
Sanghee Park United States 26 723 1.1× 534 1.7× 89 0.4× 126 0.6× 119 0.7× 92 1.7k
John N. McGinley United States 24 612 0.9× 305 1.0× 135 0.6× 480 2.4× 87 0.5× 66 1.7k
Catherine Riva France 19 486 0.7× 207 0.7× 98 0.4× 136 0.7× 122 0.7× 42 1.5k
Evita van de Steeg Netherlands 29 619 0.9× 410 1.3× 130 0.6× 87 0.4× 253 1.5× 59 2.5k
Chad M. Paton United States 20 562 0.8× 502 1.6× 149 0.6× 472 2.3× 200 1.2× 66 1.7k
Andrea Silvestrini Italy 21 513 0.8× 222 0.7× 203 0.9× 151 0.8× 80 0.5× 59 1.8k
Victorine Imrhan United States 14 432 0.6× 154 0.5× 135 0.6× 179 0.9× 318 1.9× 31 1.5k

Countries citing papers authored by Ghada A. Soliman

Since Specialization
Citations

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

Fields of papers citing papers by Ghada A. Soliman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ghada A. Soliman. 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 Ghada A. Soliman. The network helps show where Ghada A. Soliman may publish in the future.

Co-authorship network of co-authors of Ghada A. Soliman

This figure shows the co-authorship network connecting the top 25 collaborators of Ghada A. Soliman. A scholar is included among the top collaborators of Ghada A. Soliman 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 Ghada A. Soliman. Ghada A. Soliman 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.
Flórez, Karen R., et al.. (2025). Pandemic Recipes—Nutritional Values of Recipes in Legacy Media. Nutrients. 17(11). 1830–1830.
2.
Schooling, C. Mary, Guoyi Yang, Ghada A. Soliman, & GM Leung. (2025). A Hypothesis That Glucagon-like Peptide-1 Receptor Agonists Exert Immediate and Multifaceted Effects by Activating Adenosine Monophosphate-Activate Protein Kinase (AMPK). Life. 15(2). 253–253. 4 indexed citations
3.
Rushing, Blake R., et al.. (2023). The exposome and nutritional pharmacology and toxicology: a new application for metabolomics. PubMed. 3(1). 4 indexed citations
4.
Soliman, Ghada A. & C. Mary Schooling. (2022). Insulin Receptor Genetic Variants Causal Association with Type 2 Diabetes: A Mendelian Randomization Study. Current Developments in Nutrition. 6(5). nzac044–nzac044. 1 indexed citations
5.
Soliman, Ghada A.. (2022). Intermittent fasting and time-restricted eating role in dietary interventions and precision nutrition. Frontiers in Public Health. 10. 1017254–1017254. 27 indexed citations
6.
Soliman, Ghada A. & C. Mary Schooling. (2020). Causal association between mTOR-dependent EIF-4E and EIF-4A circulating protein levels and type 2 diabetes: a Mendelian randomization study. Scientific Reports. 10(1). 15737–15737. 10 indexed citations
7.
Soliman, Ghada A., Surendra K. Shukla, Venugopal Gunda, et al.. (2020). The Synergistic Effect of an ATP-Competitive Inhibitor of mTOR and Metformin on Pancreatic Tumor Growth. Current Developments in Nutrition. 4(9). nzaa131–nzaa131. 6 indexed citations
8.
Soliman, Ghada A., et al.. (2020). Stochastic Simulation of Cellular Metabolism. IEEE Access. 8. 79734–79744. 10 indexed citations
9.
Siahpush, Mohammad, et al.. (2019). Smoking Households Give Less to Charity. Nonprofit and Voluntary Sector Quarterly. 49(3). 589–610. 1 indexed citations
10.
Soliman, Ghada A., et al.. (2019). Study of Serum Betatrophin Level in The Patients of Type 2 Diabetes Mellitus. The Egyptian Journal of Hospital Medicine. 74(8). 1809–1816. 1 indexed citations
11.
Soliman, Ghada A., et al.. (2018). Wellness programme at the workplace promotes dietary change and improves health indicators in a longitudinal retrospective study. Public Health Nutrition. 22(2). 354–362. 2 indexed citations
12.
Han, Guang‐Ming, Ghada A. Soliman, Jane L. Meza, KM Monirul Islam, & Shinobu Watanabe‐Galloway. (2016). The influence of BMI on the association between serum lycopene and the metabolic syndrome. British Journal Of Nutrition. 115(7). 1292–1300. 21 indexed citations
13.
Han, Guang‐Ming, et al.. (2016). Higher levels of serum lycopene are associated with reduced mortality in individuals with metabolic syndrome. Nutrition Research. 36(5). 402–407. 32 indexed citations
14.
Siahpush, Mohammad, Raees A. Shaikh, Melissa Tibbits, et al.. (2016). Point-of-sale cigarette marketing and smoking-induced deprivation in smokers: results from a population-based survey. BMC Public Health. 16(1). 302–302. 4 indexed citations
16.
Zekri, Abdel‐Rahman N., et al.. (2012). Hepatitis C virus and other risk factors in hepatocellular carcinoma. Acta Virologica. 56(3). 235–240. 15 indexed citations
17.
Soliman, Ghada A., et al.. (2009). mTOR Ser-2481 Autophosphorylation Monitors mTORC-specific Catalytic Activity and Clarifies Rapamycin Mechanism of Action. Journal of Biological Chemistry. 285(11). 7866–7879. 189 indexed citations
18.
Acosta-Jaquez, Hugo A., Yves Roméo, Ghada A. Soliman, et al.. (2009). Regulation of mTOR Complex 1 (mTORC1) by Raptor Ser863 and Multisite Phosphorylation. Journal of Biological Chemistry. 285(1). 80–94. 149 indexed citations
19.
Soliman, Ghada A., Yusong Gong, Justin C. Jones, et al.. (2007). A simple qPCR-based method to detect correct insertion of homologous targeting vectors in murine ES cells. Transgenic Research. 16(5). 665–670. 16 indexed citations
20.
Aggarwal, Dimple, María Luz Fernández, & Ghada A. Soliman. (2006). Rapamycin, an mTOR inhibitor, disrupts triglyceride metabolism in guinea pigs. Metabolism. 55(6). 794–802. 41 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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