Salma Barakat

498 total citations
10 papers, 187 citations indexed

About

Salma Barakat is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Salma Barakat has authored 10 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Salma Barakat's work include Liver Disease Diagnosis and Treatment (5 papers), Diet, Metabolism, and Disease (4 papers) and Sulfur Compounds in Biology (2 papers). Salma Barakat is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Diet, Metabolism, and Disease (4 papers) and Sulfur Compounds in Biology (2 papers). Salma Barakat collaborates with scholars based in Sudan, United Kingdom and Saudi Arabia. Salma Barakat's co-authors include Mohamed H. Ahmed, Ahmed O. Almobarak, E.J.H. Ford, Wadie M. Elmadhoun, Sufian K. Noor, Almoutaz Hashim, Yasser Fouad and Hasmik Ghazinyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Reviews Gastroenterology & Hepatology and Research in Veterinary Science.

In The Last Decade

Salma Barakat

9 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salma Barakat Sudan 6 125 89 43 37 32 10 187
Álvaro Urzúa Chile 6 105 0.8× 57 0.6× 51 1.2× 56 1.5× 26 0.8× 22 179
Robert M. Wilechansky United States 7 165 1.3× 75 0.8× 59 1.4× 27 0.7× 17 0.5× 14 236
Katherine Eberly United States 5 275 2.2× 104 1.2× 139 3.2× 43 1.2× 25 0.8× 9 328
Luis Miguel Vazquez‐Montesino United States 6 220 1.8× 123 1.4× 73 1.7× 43 1.2× 14 0.4× 7 288
Angela Amante Italy 6 210 1.7× 78 0.9× 111 2.6× 39 1.1× 59 1.8× 7 263
Ruth Sargent United States 5 266 2.1× 167 1.9× 114 2.7× 50 1.4× 21 0.7× 6 308
Marieke Velema Netherlands 10 102 0.8× 156 1.8× 64 1.5× 19 0.5× 19 0.6× 14 343
Aki Juhani Käräjämäki Finland 8 210 1.7× 124 1.4× 83 1.9× 60 1.6× 90 2.8× 16 300
Marinko Marušić Croatia 7 108 0.9× 61 0.7× 31 0.7× 21 0.6× 26 0.8× 30 299
K. Huber Germany 5 209 1.7× 110 1.2× 93 2.2× 40 1.1× 18 0.6× 9 291

Countries citing papers authored by Salma Barakat

Since Specialization
Citations

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

Fields of papers citing papers by Salma Barakat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salma Barakat

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

All Works

10 of 10 papers shown
1.
Fouad, Yasser, Salma Barakat, Almoutaz Hashim, & Hasmik Ghazinyan. (2024). Towards unifying fatty liver nomenclature: a voice from the Middle East and North Africa. Nature Reviews Gastroenterology & Hepatology. 21(5). 297–298. 3 indexed citations
2.
Barakat, Salma, et al.. (2024). Short Telomere Length in Plasma of Sudanese Patients with Hepatocellular Carcinoma and Chronic Liver Diseases. SHILAP Revista de lepidopterología. 19(4). 460–472.
3.
Barakat, Salma, et al.. (2022). WhatsApp: Cyber Security Risk Management, Governance and Control. 160–165. 1 indexed citations
4.
5.
Almobarak, Ahmed O., et al.. (2015). Prevalence of and predictive factors for nonalcoholic fatty liver disease in Sudanese individuals with type 2 diabetes: Is metabolic syndrome the culprit?. Arab Journal of Gastroenterology. 16(2). 54–58. 32 indexed citations
6.
Almobarak, Ahmed O., et al.. (2014). Non alcoholic fatty liver disease (NAFLD) in a Sudanese population: What is the prevalence and risk factors?. Arab Journal of Gastroenterology. 15(1). 12–15. 43 indexed citations
7.
Ahmed, Mohamed H., Salma Barakat, & Ahmed O. Almobarak. (2014). The association between renal stone disease and cholesterol gallstones: the easy to believe and not hard to retrieve theory of the metabolic syndrome. Renal Failure. 36(6). 957–962. 16 indexed citations
8.
Ahmed, Mohamed H., Salma Barakat, & Ahmed O. Almobarak. (2012). Nonalcoholic Fatty Liver Disease and Cardiovascular Disease: Has the Time Come for Cardiologists to Be Hepatologists?. Journal of Obesity. 2012. 1–9. 78 indexed citations
9.
Barakat, Salma & E.J.H. Ford. (1988). Further studies on the diagnostic value of gamma-glutamyl transpeptidase and 5'-nucleotidase in cattle, sheep and horses.. PubMed. 44(3). 354–60. 6 indexed citations
10.
Barakat, Salma & E.J.H. Ford. (1988). Further studies on the diagnostic value of γ-glutamyl transpeptidase and 5′-nucleotidase in cattle, sheep and horses. Research in Veterinary Science. 44(3). 354–360. 7 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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2026