Wael Osman

1.2k total citations · 1 hit paper
23 papers, 682 citations indexed

About

Wael Osman is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Wael Osman has authored 23 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 6 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Surgery. Recurrent topics in Wael Osman's work include Genetic Associations and Epidemiology (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Nutrition, Genetics, and Disease (3 papers). Wael Osman is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Nutrition, Genetics, and Disease (3 papers). Wael Osman collaborates with scholars based in United Arab Emirates, Australia and United Kingdom. Wael Osman's co-authors include Mohamed Elhassan, Abdulhadi Shoufan, Fatma Mohamed, Habiba Alsafar, Michiaki Kubo, Herbert F. Jelinek, Yusuke Nakamura, Atsushi Takahashi, Siew‐Kee Low and Wael Almahmeed and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Wael Osman

23 papers receiving 666 citations

Hit Papers

Is YouTube a reliable source of health-related informatio... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wael Osman United Arab Emirates 13 155 112 104 104 98 23 682
Letitia Perdue United States 14 58 0.4× 113 1.0× 210 2.0× 93 0.9× 102 1.0× 23 677
Thomas R. Taylor United States 13 190 1.2× 120 1.1× 31 0.3× 113 1.1× 163 1.7× 25 736
Donna Eng United States 7 90 0.6× 136 1.2× 127 1.2× 40 0.4× 104 1.1× 9 510
Drew R. Nannini United States 15 185 1.2× 23 0.2× 104 1.0× 40 0.4× 16 0.2× 36 517
Lin Zhao China 15 188 1.2× 40 0.4× 164 1.6× 91 0.9× 156 1.6× 54 815
Pei‐Ju Liao Taiwan 16 149 1.0× 71 0.6× 114 1.1× 17 0.2× 25 0.3× 40 808
Faming Zhao China 9 125 0.8× 70 0.6× 9 0.1× 112 1.1× 99 1.0× 24 1.6k
Yu Cui China 16 115 0.7× 53 0.5× 57 0.5× 18 0.2× 29 0.3× 39 603
Meghna Jani United Kingdom 17 96 0.6× 35 0.3× 19 0.2× 130 1.3× 16 0.2× 60 1.1k
Tor Claudi Norway 13 114 0.7× 137 1.2× 18 0.2× 80 0.8× 351 3.6× 39 708

Countries citing papers authored by Wael Osman

Since Specialization
Citations

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

Fields of papers citing papers by Wael Osman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wael Osman

This figure shows the co-authorship network connecting the top 25 collaborators of Wael Osman. A scholar is included among the top collaborators of Wael Osman 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 Wael Osman. Wael Osman 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
2.
Osman, Wael, Mira Mousa, Claire Hill, et al.. (2023). A genome-wide association study identifies a possible role for cannabinoid signalling in the pathogenesis of diabetic kidney disease. Scientific Reports. 13(1). 4661–4661. 4 indexed citations
3.
Mack, Steven J., Bassam R. Ali, Bachar Afandi, et al.. (2022). HLA-DRB1 and –DQB1 Alleles, Haplotypes and Genotypes in Emirati Patients with Type 1 Diabetes Underscores the Benefits of Evaluating Understudied Populations. Frontiers in Genetics. 13. 841879–841879. 8 indexed citations
4.
Osman, Wael, Fatma Mohamed, Mohamed Elhassan, & Abdulhadi Shoufan. (2022). Is YouTube a reliable source of health-related information? A systematic review. BMC Medical Education. 22(1). 382–382. 180 indexed citations breakdown →
5.
Alsafar, Habiba, et al.. (2021). Genetic Studies of Metabolic Syndrome in Arab Populations: A Systematic Review and Meta-Analysis. Australasian Journal of Paramedicine. 12. 733746–733746. 6 indexed citations
6.
Jelinek, Herbert F., Mira Mousa, Eman Alefishat, et al.. (2021). Evolution, Ecology, and Zoonotic Transmission of Betacoronaviruses: A Review. Frontiers in Veterinary Science. 8. 644414–644414. 15 indexed citations
7.
Osman, Wael, Ahmed Hassoun, Herbert F. Jelinek, et al.. (2020). Genetics of type 2 diabetes and coronary artery disease and their associations with twelve cardiometabolic traits in the United Arab Emirates population. Gene. 750. 144722–144722. 6 indexed citations
8.
Ali, Bassam R., Wael Osman, Bachar Afandi, et al.. (2020). Association of variants inPTPN22,CTLA‐4,IL2‐RA, andINSgenes with type 1 diabetes in Emiratis. Annals of Human Genetics. 85(2). 48–57. 14 indexed citations
10.
Osman, Wael, Saad Khan, Herbert F. Jelinek, et al.. (2020). Clinical correlations and genetic associations of metabolic syndrome in the United Arab Emirates. Gene. 738. 144476–144476. 3 indexed citations
11.
Osman, Wael, Sungmun Lee, Kinda Khalaf, et al.. (2019). Genetic Associations With Diabetic Retinopathy and Coronary Artery Disease in Emirati Patients With Type-2 Diabetes Mellitus. Frontiers in Endocrinology. 10. 283–283. 18 indexed citations
13.
Osman, Wael, Herbert F. Jelinek, Guan K. Tay, et al.. (2019). Genetics of diabetic kidney disease: A follow‐up study in the Arab population of the United Arab Emirates. Molecular Genetics & Genomic Medicine. 7(12). e985–e985. 5 indexed citations
14.
Osman, Wael, Herbert F. Jelinek, Guan K. Tay, et al.. (2018). Clinical and genetic associations of renal function and diabetic kidney disease in the United Arab Emirates: a cross-sectional study. BMJ Open. 8(12). e020759–e020759. 17 indexed citations
15.
Osman, Wael, Guan K. Tay, & Habiba Alsafar. (2018). Multiple genetic variations confer risks for obesity and type 2 diabetes mellitus in arab descendants from UAE. International Journal of Obesity. 42(7). 1345–1353. 27 indexed citations
16.
Hulse, Gary Kenneth, et al.. (2018). The frequency of DRD2 rs1076560 and OPRM1 rs1799971 in substance use disorder patients from the United Arab Emirates. Annals of General Psychiatry. 17(1). 22–22. 9 indexed citations
17.
Khan, Saad, et al.. (2018). Establishing a genetic link between FTO and VDR gene polymorphisms and obesity in the Emirati population. BMC Medical Genetics. 19(1). 26 indexed citations
18.
Matsubara, Daisuke, Wael Osman, Teppei Morikawa, et al.. (2014). Expression of PRMT5 in lung adenocarcinoma and its significance in epithelial-mesenchymal transition. Human Pathology. 45(7). 1397–1405. 66 indexed citations
19.
Osman, Wael, Siew‐Kee Low, Atsushi Takahashi, Michiaki Kubo, & Yusuke Nakamura. (2012). A genome-wide association study in the Japanese population confirms 9p21 and 14q23 as susceptibility loci for primary open angle glaucoma. Human Molecular Genetics. 21(12). 2836–2842. 100 indexed citations
20.
Osman, Wael, Yukinori Okada, Yoichiro Kamatani, et al.. (2012). Association of Common Variants in TNFRSF13B, TNFSF13, and ANXA3 with Serum Levels of Non-Albumin Protein and Immunoglobulin Isotypes in Japanese. PLoS ONE. 7(4). e32683–e32683. 32 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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