Reem M. Sallam

1.9k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Reem M. Sallam is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Reem M. Sallam has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Physiology and 8 papers in Molecular Biology. Recurrent topics in Reem M. Sallam's work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Adipose Tissue and Metabolism (8 papers) and Diet and metabolism studies (4 papers). Reem M. Sallam is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (10 papers), Adipose Tissue and Metabolism (8 papers) and Diet and metabolism studies (4 papers). Reem M. Sallam collaborates with scholars based in Egypt, Saudi Arabia and United States. Reem M. Sallam's co-authors include Assim A. Alfadda, Amr Soliman Moustafa, Jae Bum Kim, Kyung Cheul Shin, Kyong Soo Park, Aimin Xu, Yoon Jeong Park, Xuebo Pan, Sally A. Huber and Margaret F. Doyle and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Reem M. Sallam

28 papers receiving 1.3k citations

Hit Papers

Reactive Oxygen Species in Health and Disease 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reem M. Sallam Egypt 14 481 260 232 163 130 29 1.4k
Daniel S. Kikuchi United States 7 669 1.4× 222 0.9× 192 0.8× 263 1.6× 85 0.7× 13 1.7k
Rosa Vona Italy 20 637 1.3× 302 1.2× 210 0.9× 142 0.9× 120 0.9× 54 1.6k
Dong Kwon Yang South Korea 22 863 1.8× 217 0.8× 196 0.8× 98 0.6× 148 1.1× 87 1.8k
Nizar M. Mhaidat Jordan 26 837 1.7× 173 0.7× 256 1.1× 159 1.0× 90 0.7× 100 2.1k
Yong Son South Korea 16 944 2.0× 258 1.0× 155 0.7× 183 1.1× 73 0.6× 39 2.1k
Rafał Jakub Bułdak Poland 21 360 0.7× 223 0.9× 370 1.6× 126 0.8× 166 1.3× 60 1.4k
Ada Popolo Italy 28 980 2.0× 192 0.7× 113 0.5× 227 1.4× 122 0.9× 58 2.5k
Ghazi A. Damanhouri Saudi Arabia 24 494 1.0× 171 0.7× 248 1.1× 173 1.1× 68 0.5× 67 1.7k
Alessandra Lourenço Cecchini Brazil 26 702 1.5× 162 0.6× 132 0.6× 143 0.9× 87 0.7× 72 2.1k
Cristiana Caliceti Italy 26 726 1.5× 193 0.7× 139 0.6× 145 0.9× 165 1.3× 54 1.6k

Countries citing papers authored by Reem M. Sallam

Since Specialization
Citations

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

Fields of papers citing papers by Reem M. Sallam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reem M. Sallam. 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 Reem M. Sallam. The network helps show where Reem M. Sallam may publish in the future.

Co-authorship network of co-authors of Reem M. Sallam

This figure shows the co-authorship network connecting the top 25 collaborators of Reem M. Sallam. A scholar is included among the top collaborators of Reem M. Sallam 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 Reem M. Sallam. Reem M. Sallam 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.
El‐Khawaga, Ahmed M., et al.. (2024). Immobilized lipase enzyme on green synthesized magnetic nanoparticles using Psidium guava leaves for dye degradation and antimicrobial activities. Scientific Reports. 14(1). 8820–8820. 23 indexed citations
2.
El‐Khawaga, Ahmed M., et al.. (2024). A Review on Lipases: Sources, Assays, Immobilization Techniques on Nanomaterials and Applications. BioNanoScience. 14(2). 1780–1797. 20 indexed citations
3.
Sallam, Reem M., et al.. (2024). Personalized Nutrition Recommendations Using Machine Learning. 1–5.
4.
Sallam, Reem M., et al.. (2023). The Potential Link between Obesity, Synbiotics Intake and Inflammasomes in an Animal Model. QJM. 116(Supplement_1). 1 indexed citations
6.
Sallam, Reem M., et al.. (2022). Synbiotics intake improves disturbed metabolism in a rat model of high fat diet-induced obesity; A potential role of adipose tissue browning. Obesity Medicine. 32. 100414–100414. 8 indexed citations
7.
Al‐Daghri, Nasser M., et al.. (2020). Assessment of NF-κB-SN50’s Effect on Adipose Tumor Necrosis Factor-Alpha and Angiotensinogen Secretion and Expression. MDPI (MDPI AG). 15–15. 1 indexed citations
8.
Sallam, Reem M., et al.. (2018). Gender-Specific profiles of cardiovascular disease in type 2 diabetes mellitus: A cross-sectional study. SHILAP Revista de lepidopterología. 1(2). 74. 3 indexed citations
9.
Sallam, Reem M.. (2018). Adipokines in obesity and metabolic disease. QJM. 111(suppl_1). 1 indexed citations
10.
Assaad‐Khalil, Samir H., et al.. (2017). The Financial Burden of Diabetes Mellitus Type 1 And Type 2 In Egypt. Value in Health. 20(9). A477–A477. 4 indexed citations
11.
Alfadda, Assim A., Madhawi Aldhwayan, Saad Alzahrani, et al.. (2016). The Saudi clinical practice guideline for the management of overweight and obesity in adults. Saudi Medical Journal. 37(10). 1151–1162. 49 indexed citations
12.
Park, Yoon Jeong, Xuebo Pan, Kyung Cheul Shin, et al.. (2015). Obesity-induced DNA hypermethylation of the adiponectin gene mediates insulin resistance. Nature Communications. 6(1). 7585–7585. 172 indexed citations
13.
Aldisi, Dara, Nasser M. Al‐Daghri, Nasiruddin Khan, et al.. (2015). Postprandial Effect of a High-Fat Meal on Endotoxemia in Arab Women with and without Insulin-Resistance-Related Diseases. Nutrients. 7(8). 6375–6389. 13 indexed citations
14.
Alfadda, Assim A., et al.. (2013). Proteomic analysis of mature adipo cytes from obese patients in relation to aging. Experimental Gerontology. 48(11). 1196–1203. 64 indexed citations
15.
Olson, Nels C., Reem M. Sallam, Margaret F. Doyle, Russell P. Tracy, & Sally A. Huber. (2013). T Helper Cell Polarization in Healthy People: Implications for Cardiovascular Disease. Journal of Cardiovascular Translational Research. 6(5). 772–786. 36 indexed citations
16.
Alfadda, Assim A., Reem M. Sallam, M. Azhar Chishti, et al.. (2012). Differential Patterns of Serum Concentration and Adipose Tissue Expression of Chemerin in Obesity: Adipose Depot Specificity and Gender Dimorphism. Molecules and Cells. 33(6). 591–596. 59 indexed citations
17.
Sallam, Maha, et al.. (2010). Expression of indoleamine 2,3-dioxygenase in acute myeloid leukemia and the effect of its inhibition on cultured leukemia blast cells. Medical Oncology. 28(1). 270–278. 25 indexed citations
18.
Al‐Daghri, Nasser M., Omar S. Al‐Attas, Khalid Al‐Rubeaan, & Reem M. Sallam. (2007). Adipocytokine profile of type 2 diabetics in metabolic syndrome as defined by various criteria. Diabetes/Metabolism Research and Reviews. 24(1). 52–58. 21 indexed citations
19.
Sartini, Danielle, Mohamad Moussawi, Reem M. Sallam, Ira M. Bernstein, & Sally A. Huber. (2004). Correlation between Serum Estradiol in the Follicular Phase of the Ovarian Cycle and Decay Accelerating Factor (DAF) Expression on Red Blood Cells and Coxsackievirus B3‐Induced Hemagglutination in Young Cycling Women. American Journal of Reproductive Immunology. 51(2). 180–187. 3 indexed citations
20.
Bernstein, Ira M., et al.. (2003). Markers of inflammation and sympathetic tone in nulligravid women. American Journal of Obstetrics and Gynecology. 189(6). S85–S85. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026