Mohamed I. Saad

1.2k total citations
34 papers, 791 citations indexed

About

Mohamed I. Saad is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mohamed I. Saad has authored 34 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mohamed I. Saad's work include Birth, Development, and Health (7 papers), Gestational Diabetes Research and Management (6 papers) and Adipose Tissue and Metabolism (4 papers). Mohamed I. Saad is often cited by papers focused on Birth, Development, and Health (7 papers), Gestational Diabetes Research and Management (6 papers) and Adipose Tissue and Metabolism (4 papers). Mohamed I. Saad collaborates with scholars based in Australia, Egypt and Germany. Mohamed I. Saad's co-authors include Brendan J. Jenkins, Maher A. Kamel, Stefan Rose‐John, Rebecca Lim, Bryan Leaw, William Sievert, Euan M. Wallace, Dandan Zhu, Jean L. Tan and Siow Teng Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

In The Last Decade

Mohamed I. Saad

33 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed I. Saad Australia 17 321 148 146 133 127 34 791
Carlos E. Irarrázabal Chile 20 486 1.5× 97 0.7× 189 1.3× 115 0.9× 125 1.0× 45 1.1k
Jinghuan Lv China 18 409 1.3× 107 0.7× 230 1.6× 84 0.6× 147 1.2× 37 885
Zhi Zhao China 17 418 1.3× 235 1.6× 87 0.6× 110 0.8× 87 0.7× 40 912
Aleksandra Stanković Serbia 18 367 1.1× 91 0.6× 88 0.6× 181 1.4× 145 1.1× 125 1.1k
Valérie Cattan France 15 228 0.7× 115 0.8× 142 1.0× 140 1.1× 186 1.5× 32 813
Dil Afroze India 17 492 1.5× 104 0.7× 136 0.9× 144 1.1× 191 1.5× 53 997
Andrew Palladino United States 20 426 1.3× 138 0.9× 341 2.3× 85 0.6× 116 0.9× 43 1.2k
Zhengzhe Li China 19 471 1.5× 83 0.6× 97 0.7× 155 1.2× 117 0.9× 33 1.1k
Gábor Kökény Hungary 18 435 1.4× 121 0.8× 124 0.8× 100 0.8× 42 0.3× 36 1.0k

Countries citing papers authored by Mohamed I. Saad

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed I. Saad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed I. Saad. 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 Mohamed I. Saad. The network helps show where Mohamed I. Saad may publish in the future.

Co-authorship network of co-authors of Mohamed I. Saad

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed I. Saad. A scholar is included among the top collaborators of Mohamed I. Saad 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 Mohamed I. Saad. Mohamed I. Saad 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.
Snoeren, Inge, Eric M. Bindels, Stephani Schmitz, et al.. (2023). Collaborative effect of Csnk1a1 haploinsufficiency and mutant p53 in Myc induction can promote leukemic transformation. Blood Advances. 8(3). 766–779.
2.
Saad, Mohamed I. & Brendan J. Jenkins. (2023). The protease ADAM17 at the crossroads of disease: revisiting its significance in inflammation, cancer, and beyond. FEBS Journal. 291(1). 10–24. 25 indexed citations
3.
Saad, Mohamed I. & Brendan J. Jenkins. (2023). An In Vitro Model for Assessing Acute Lung Injury During Pancreatitis Development Using Primary Mouse Cell Co-cultures. Methods in molecular biology. 2691. 71–80. 1 indexed citations
4.
Ruwanpura, Saleela M., Louise McLeod, Lovisa Dousha, et al.. (2022). Cross-talk between IL-6 trans-signaling and AIM2 inflammasome/IL-1β axes bridge innate immunity and epithelial apoptosis to promote emphysema. Proceedings of the National Academy of Sciences. 119(36). e2201494119–e2201494119. 14 indexed citations
5.
Alhayyani, Sultan, Louise McLeod, Alison C. West, et al.. (2021). Oncogenic dependency on STAT3 serine phosphorylation in KRAS mutant lung cancer. Oncogene. 41(6). 809–823. 9 indexed citations
6.
Jenkins, Brendan J., et al.. (2021). IL-6 family cytokines in respiratory health and disease. Cytokine. 143. 155520–155520. 25 indexed citations
7.
Zhu, Dandan, Gina D. Kusuma, Renate Schwab, et al.. (2020). Prematurity negatively affects regenerative properties of human amniotic epithelial cells in the context of lung repair. Clinical Science. 134(20). 2665–2679. 8 indexed citations
8.
Balic, Jesse J., Mohamed I. Saad, Louise McLeod, et al.. (2020). Constitutive STAT3 Serine Phosphorylation Promotes Helicobacter-Mediated Gastric Disease. American Journal Of Pathology. 190(6). 1256–1270. 20 indexed citations
9.
Saad, Mohamed I., Louise McLeod, Christopher Hodges, et al.. (2020). ADAM17 Deficiency Protects against Pulmonary Emphysema. American Journal of Respiratory Cell and Molecular Biology. 64(2). 183–195. 16 indexed citations
10.
Balic, Jesse J., Daniel J. Garama, Mohamed I. Saad, et al.. (2019). Serine-Phosphorylated STAT3 Promotes Tumorigenesis via Modulation of RNA Polymerase Transcriptional Activity. Cancer Research. 79(20). 5272–5287. 28 indexed citations
11.
Saad, Mohamed I. & Saleela M. Ruwanpura. (2018). Tissue Processing for Stereological Analyses of Lung Structure in Chronic Obstructive Pulmonary Disease. Methods in molecular biology. 1725. 155–162. 4 indexed citations
12.
Saad, Mohamed I., et al.. (2017). Intrauterine diabetic milieu instigates dysregulated adipocytokines production in F1 offspring. Journal of Animal Science and Technology. 59(1). 1–1. 7 indexed citations
13.
Leaw, Bryan, Dandan Zhu, Jean L. Tan, et al.. (2017). Human amnion epithelial cells rescue cell death via immunomodulation of microglia in a mouse model of perinatal brain injury. Stem Cell Research & Therapy. 8(1). 46–46. 37 indexed citations
14.
Saad, Mohamed I., et al.. (2016). Maternal diabetes impairs oxidative and inflammatory response in murine placenta. SpringerPlus. 5(1). 532–532. 10 indexed citations
15.
Saad, Mohamed I., et al.. (2016). Diabetes-induced perturbations are subject to intergenerational transmission through maternal line. Journal of Physiology and Biochemistry. 72(2). 315–326. 10 indexed citations
16.
17.
Saad, Mohamed I., et al.. (2015). Transgenerational effects of obesity and malnourishment on diabetes risk in F2 generation. Molecular and Cellular Biochemistry. 412(1-2). 269–280. 35 indexed citations
18.
Saad, Mohamed I., et al.. (2015). Maternal obesity and malnourishment exacerbate perinatal oxidative stress resulting in diabetogenic programming in F1 offspring. Journal of Endocrinological Investigation. 39(6). 643–655. 17 indexed citations
19.
Saad, Mohamed I., et al.. (2015). Similar and Additive Effects of Ovariectomy and Diabetes on Insulin Resistance and Lipid Metabolism. Biochemistry Research International. 2015. 1–8. 52 indexed citations
20.

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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