Riyadh Saif-Ali

1.1k total citations
41 papers, 734 citations indexed

About

Riyadh Saif-Ali is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Riyadh Saif-Ali has authored 41 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Riyadh Saif-Ali's work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes and associated disorders (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Riyadh Saif-Ali is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes and associated disorders (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Riyadh Saif-Ali collaborates with scholars based in Yemen, Malaysia and United States. Riyadh Saif-Ali's co-authors include Molham Al‐Habori, Sami Abdo Radman Al‐Dubai, Kurubaran Ganasegeran, Ali Al‐Meeri, Sekaran Muniandy, Mustafa Ahmed Alshagga, Abdulsalam M. Al-Mekhlafi, Ikram Shah Ismail, Mohammed A. K. Mahdy and Hesham M. Al‐Mekhlafi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Riyadh Saif-Ali

39 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riyadh Saif-Ali Yemen 15 204 159 129 121 99 41 734
Ricardo Pérez-Fuentes Mexico 16 176 0.9× 316 2.0× 108 0.8× 109 0.9× 38 0.4× 52 651
Kerry Mills Australia 16 290 1.4× 334 2.1× 145 1.1× 142 1.2× 57 0.6× 28 1.0k
Ana Acácia S. Pinheiro Brazil 21 185 0.9× 156 1.0× 75 0.6× 333 2.8× 29 0.3× 64 1.1k
Thomas C. Sodeman United States 12 93 0.5× 134 0.8× 96 0.7× 256 2.1× 82 0.8× 42 745
Xiaosong Qin China 17 94 0.5× 120 0.8× 109 0.8× 233 1.9× 78 0.8× 77 897
Amre Nasr Saudi Arabia 18 247 1.2× 172 1.1× 44 0.3× 172 1.4× 57 0.6× 50 705
Amy Jones United States 17 111 0.5× 172 1.1× 66 0.5× 223 1.8× 78 0.8× 36 938
Ping Xue China 17 320 1.6× 75 0.5× 62 0.5× 125 1.0× 63 0.6× 47 990
P Pongpaew Thailand 14 322 1.6× 129 0.8× 94 0.7× 116 1.0× 45 0.5× 91 1.0k
Siyuan Liu China 16 130 0.6× 95 0.6× 39 0.3× 209 1.7× 71 0.7× 55 853

Countries citing papers authored by Riyadh Saif-Ali

Since Specialization
Citations

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

Fields of papers citing papers by Riyadh Saif-Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riyadh Saif-Ali. 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 Riyadh Saif-Ali. The network helps show where Riyadh Saif-Ali may publish in the future.

Co-authorship network of co-authors of Riyadh Saif-Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Riyadh Saif-Ali. A scholar is included among the top collaborators of Riyadh Saif-Ali 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 Riyadh Saif-Ali. Riyadh Saif-Ali 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
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Al‐Habori, Molham, et al.. (2021). Impact of triglycerides and waist circumference on insulin resistance and β-cell function in non-diabetic first-degree relatives of type 2 diabetes. BMC Endocrine Disorders. 21(1). 124–124. 13 indexed citations
4.
Al‐Habori, Molham, et al.. (2021). Latent Autoimmune Diabetes in Adults (LADA) and its Metabolic Characteristics among Yemeni Type 2 Diabetes Mellitus Patients. Diabetes Metabolic Syndrome and Obesity. Volume 14. 4223–4232. 4 indexed citations
5.
Al‐Habori, Molham, et al.. (2021). Plasma Lipocalin-2 and Adiponectin are Affected by Obesity Rather Than Type 2 Diabetes Mellitus per se. Diabetes Metabolic Syndrome and Obesity. Volume 14. 4547–4556. 4 indexed citations
6.
Al‐Doaiss, Amin A., et al.. (2020). Hepatoprotective, Antioxidant and Cytotoxic Potential of Aloe niebuhriana Latex Extract from Yemen. Indian Journal of Pharmaceutical Sciences. 82(3). 3 indexed citations
7.
Saif-Ali, Riyadh, Nor Azmi Kamaruddin, Molham Al‐Habori, Sami Abdo Radman Al‐Dubai, & Wan Zurinah Wan Ngah. (2020). Relationship of metabolic syndrome defined by IDF or revised NCEP ATP III with glycemic control among Malaysians with Type 2 Diabetes. Diabetology & Metabolic Syndrome. 12(1). 67–67. 21 indexed citations
8.
Saif-Ali, Riyadh, et al.. (2019). Phytochemical, antibacterial, antioxidant and wound healing properties of Aloe inermis latex extract obtained from Yemen. Asian Journal of Pharmacy and Pharmacology. 5(6). 1191–1201. 2 indexed citations
9.
Saif-Ali, Riyadh, et al.. (2019). Asymptomatic carriage of Streptococcus pyogenes among school children in Sana’a city, Yemen. BMC Research Notes. 12(1). 339–339. 10 indexed citations
10.
Lemieux, Andrine, et al.. (2018). Anger, anxiety, and depressive affect as predictors of stress-induced cortisol production in khat and tobacco users. Addictive Behaviors. 82. 195–201. 5 indexed citations
11.
Razif, Muhammad Fazril Mohamad, et al.. (2017). Contributions of IKZF1 , DDC , CDKN2A , CEBPE , and LMO1 Gene Polymorphisms to Acute Lymphoblastic Leukemia in a Yemeni Population. Genetic Testing and Molecular Biomarkers. 21(10). 592–599. 11 indexed citations
12.
Haber, Marc, Massimo Mezzavilla, Anders Bergström, et al.. (2016). Chad Genetic Diversity Reveals an African History Marked by Multiple Holocene Eurasian Migrations. The American Journal of Human Genetics. 99(6). 1316–1324. 30 indexed citations
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Al‐Habori, Molham, et al.. (2014). Catha Edulis (Khat) Chewing Decreases Serum Levels of Iron, Ferritin and Vitamin B12 and Increases Folic Acid. International Journal for Vitamin and Nutrition Research. 84(5-6). 223–228. 3 indexed citations
15.
Mahdy, Mohammed A. K., Mohamed A. Idris, Ahmed A. Al‐Qahtani, et al.. (2014). The prospect of malaria elimination in the Arabian Peninsula: A population genetic approach. Infection Genetics and Evolution. 27. 25–31. 8 indexed citations
16.
Al‐Habori, Molham, et al.. (2014). Association of adipokines, leptin/adiponectin ratio and C-reactive protein with obesity and type 2 diabetes mellitus. Diabetology & Metabolic Syndrome. 6(1). 99–99. 101 indexed citations
17.
Al‐Dubai, Sami Abdo Radman, et al.. (2013). Factors affecting dengue fever knowledge, attitudes and practices among selected urban, semi-urban and rural communities in Malaysia.. PubMed. 44(1). 37–49. 82 indexed citations
18.
Saif-Ali, Riyadh, et al.. (2012). IGF2BP2 Alternative Variants Associated with Glutamic Acid Decarboxylase Antibodies Negative Diabetes in Malaysian Subjects. PLoS ONE. 7(9). e45573–e45573. 7 indexed citations
19.
Saif-Ali, Riyadh, et al.. (2011). Association of Hepatocyte Nuclear Factor 4 Alpha Polymorphisms with Type 2 Diabetes With or Without Metabolic Syndrome in Malaysia. Biochemical Genetics. 50(3-4). 298–308. 4 indexed citations
20.
Saif-Ali, Riyadh, et al.. (2011). Plasminogen activator inhibitor-1 4G/5G polymorphism is associated with metabolic syndrome parameters in Malaysian subjects. Journal of Clinical Biochemistry and Nutrition. 50(3). 184–189. 10 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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